It is expected that in the next decade, majority of world population will be living in cities.
Better public services and infrastructures in the city are needed to cope with the booming population.
City vehicles that cruising for parking have indirectly causing traffic, making one harder to travel around the
city. Thus, a smart parking system can certainly lays the foundation to build a smart city. This paper
proposed a cost-effective IoT smart parking system to monitor city parking space and provide real-time
parking information to drivers. Moreover, instead of the conventional approach that uses embedded
sensors to detect vehicles in the parking area, camera image and machine vision technology are used to
obtain the parking status. In the prototype, twenty outdoor parking lots are covered using a 5 megapixel
camera connected to Raspberry Pi 3 installed at the 5th floor of the nearby building. Machine vision in this
project that involved motion tracking and Canny edge detection are programmed in Python 2 using
OpenCV technology. Corresponding data is uploaded to an IoT platform called Ubidots for possible
monitoring activity. An Android mobile application is designed for user to download real-time data of
parking information. This paper introduces a low cost smart parking system with the overall detection
accuracy of 96.40%. Also, the mobile application allows users to alert other car owners for any emergency
incidents and double parking blockage. The developed system can provide a platform for users to search
for empty car parking with ease and reduce the traffic issues such as illegal double parking especially in
the urban area.
Smart Car Parking system using GSM Technologydbpublications
In this paper, we present PGS, a Parking Guidance System based on wireless sensor network(WSN) which guides a driver to an available parking lot. The system consists of a WSN based VDS (vehicle detection sub-system) and a management subsystem. The WSN based VDS gathers information on the availability of each parking lot and the management sub-system processes the information and refines them and guides the driver to the available parking lot by controlling a VMS (Variable Messaging System). The paper describes the overall system architecture of PGS from the hardware platform to the application software in the view point of a WSN. We implemented the WSN based VDS of PGS and experimented on the system with several kinds of cars.
Smart prepaid traffic fines system using RFID, IoT and mobile appTELKOMNIKA JOURNAL
This work is intended to deliver an intelligent traffic system using radio frequency identification (RFID) technology. It designed and implemented in a way where fines are autonomously registered. In addition, a mobile app was built to assist traffic officers managing their field works. Low cost equipment’s have been used such as RFID technology, passive tags, processing unit (personal computer), and a connection system. First stage is represented by collecting data using the RFID, where it reads any identified tag that attached with vehicles. Next, a certain data are transmitted to the server using internet network communication system. The server is responsible for processing these data according to a pre-defined rules. Finally, police officers can use the mobile app to perform several tasks according the processed data such as monitoring a specific car, register a new car ID and others.
Conceptualization of IoT Powered Parking SystemIJERA Editor
In the present world, traffic congestion caused by vehicle is a frustrating problem and it has been growing exponentially. Car parking problem is one of the major contributor for this traffic congestion especially in urban cities. Currently the manual method where in the driver finds the parking area by luck and in most cases it leads to failure, if the driver is in a city with high vehicle density. As an alternative for this we proposed “IOT POWERED PARKING SYSTEM”. It mainly aims on deduction of time in finding the parking slots and also it avoids the unnecessary travelling through filled parking slots in a parking area. Thus by decreasing the fuel consumption which in turn reduces carbon elimination in our atmosphere.
An Overview of Parking Slot Detection Techniquesijtsrd
The aim of this study is to design and implement an automatic parking system to increase parking usability and safety and to collect parking fees for vehicles without having to use a magnetic card. A clever car park system can work with fewer human connections and does not need a magnetic card. There is also a parking assistance system that can advise and guide the user to the correct car park. In order to detect the number plates for the parking and payment system, the system used image processing. In general, the systems use pre programmed controls to ensure that at least one person is involved in the parking system and control access to restricted areas. Ashu Yadav | Kirti Bhatia | Rohini Sharma "An Overview of Parking Slot Detection Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd46321.pdf Paper URL: https://www.ijtsrd.com/computer-science/realtime-computing/46321/an-overview-of-parking-slot-detection-techniques/ashu-yadav
Implementation of Fuzzy Logic with High Security Registration Plate (HSRP) fo...cscpconf
In Automobile Industries, to use of High Security Registration plate (HSRP) is still a
challenging problem. There are more options to misuse the vehicle and exchange its engine,
chassis, gear box, axle etc., In an existing system, the Regional Transport Office (RTO) only
determine an abstract of the vehicle and its owner. The vehicles are classified using piezo
sensor and inductive loop systems. The toll-plaza is used only collected fees from the vehicles
for maintain the quality roads. There are no authorized agencies allotted to identify the vehicle
checking and no possibilities to control the vehicle overloading. The proposed system, toll-plaza
will be act as a multi-plaza. Vehicles are classified with weight and speed. Then it is checking in
toll-plaza either passed or checked. In this paper, The system uses illumination (such as Infrared)
and a camera to take the image of the front or rear of the vehicle, then an extracts the plate
information. This data is used for enforcement and it can be used to open a gate if the vehicle is
checked with RTO data in toll-plaza. In vehicle checking, we develop new rules using a fuzzy
logic to improve the performance. The features of this system are implemented in the upgrading
vehicles only. It is used to control the overloading to maintain road safety and to identify the
theft vehicle to reduce the crime and terrorism. As Bharat Stage Emission (BSE) standard
vehicles are implemented in India very aggressively. The emission standard vehicles are
serviced only in authorized service centre not for doing and end root machines.
Smart Car Parking system using GSM Technologydbpublications
In this paper, we present PGS, a Parking Guidance System based on wireless sensor network(WSN) which guides a driver to an available parking lot. The system consists of a WSN based VDS (vehicle detection sub-system) and a management subsystem. The WSN based VDS gathers information on the availability of each parking lot and the management sub-system processes the information and refines them and guides the driver to the available parking lot by controlling a VMS (Variable Messaging System). The paper describes the overall system architecture of PGS from the hardware platform to the application software in the view point of a WSN. We implemented the WSN based VDS of PGS and experimented on the system with several kinds of cars.
Smart prepaid traffic fines system using RFID, IoT and mobile appTELKOMNIKA JOURNAL
This work is intended to deliver an intelligent traffic system using radio frequency identification (RFID) technology. It designed and implemented in a way where fines are autonomously registered. In addition, a mobile app was built to assist traffic officers managing their field works. Low cost equipment’s have been used such as RFID technology, passive tags, processing unit (personal computer), and a connection system. First stage is represented by collecting data using the RFID, where it reads any identified tag that attached with vehicles. Next, a certain data are transmitted to the server using internet network communication system. The server is responsible for processing these data according to a pre-defined rules. Finally, police officers can use the mobile app to perform several tasks according the processed data such as monitoring a specific car, register a new car ID and others.
Conceptualization of IoT Powered Parking SystemIJERA Editor
In the present world, traffic congestion caused by vehicle is a frustrating problem and it has been growing exponentially. Car parking problem is one of the major contributor for this traffic congestion especially in urban cities. Currently the manual method where in the driver finds the parking area by luck and in most cases it leads to failure, if the driver is in a city with high vehicle density. As an alternative for this we proposed “IOT POWERED PARKING SYSTEM”. It mainly aims on deduction of time in finding the parking slots and also it avoids the unnecessary travelling through filled parking slots in a parking area. Thus by decreasing the fuel consumption which in turn reduces carbon elimination in our atmosphere.
An Overview of Parking Slot Detection Techniquesijtsrd
The aim of this study is to design and implement an automatic parking system to increase parking usability and safety and to collect parking fees for vehicles without having to use a magnetic card. A clever car park system can work with fewer human connections and does not need a magnetic card. There is also a parking assistance system that can advise and guide the user to the correct car park. In order to detect the number plates for the parking and payment system, the system used image processing. In general, the systems use pre programmed controls to ensure that at least one person is involved in the parking system and control access to restricted areas. Ashu Yadav | Kirti Bhatia | Rohini Sharma "An Overview of Parking Slot Detection Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd46321.pdf Paper URL: https://www.ijtsrd.com/computer-science/realtime-computing/46321/an-overview-of-parking-slot-detection-techniques/ashu-yadav
Implementation of Fuzzy Logic with High Security Registration Plate (HSRP) fo...cscpconf
In Automobile Industries, to use of High Security Registration plate (HSRP) is still a
challenging problem. There are more options to misuse the vehicle and exchange its engine,
chassis, gear box, axle etc., In an existing system, the Regional Transport Office (RTO) only
determine an abstract of the vehicle and its owner. The vehicles are classified using piezo
sensor and inductive loop systems. The toll-plaza is used only collected fees from the vehicles
for maintain the quality roads. There are no authorized agencies allotted to identify the vehicle
checking and no possibilities to control the vehicle overloading. The proposed system, toll-plaza
will be act as a multi-plaza. Vehicles are classified with weight and speed. Then it is checking in
toll-plaza either passed or checked. In this paper, The system uses illumination (such as Infrared)
and a camera to take the image of the front or rear of the vehicle, then an extracts the plate
information. This data is used for enforcement and it can be used to open a gate if the vehicle is
checked with RTO data in toll-plaza. In vehicle checking, we develop new rules using a fuzzy
logic to improve the performance. The features of this system are implemented in the upgrading
vehicles only. It is used to control the overloading to maintain road safety and to identify the
theft vehicle to reduce the crime and terrorism. As Bharat Stage Emission (BSE) standard
vehicles are implemented in India very aggressively. The emission standard vehicles are
serviced only in authorized service centre not for doing and end root machines.
Right now economy, the number of vehicle user’s increments exponentially requesting all the more parking spots. Inescapable nearness of advanced cell urges users to lean toward mobile application based arrangements. The development of IoT has cleared the path for the incorporation of cell phones, remote correspondence advancements, and portable applications. internet of Things IoT assumes an indispensable job in interfacing the encompassing ecological things to the system and made simple to get to those un internet things from any remote area. Its unavoidable for the individuals to refresh with the developing technology. Also, for the most part, individuals are confronting issues on leaving vehicles in leaving spaces in a city. Lately, the idea of shrewd urban communities has picked up grind prevalence. On account of the development of the Internet of things savvy city currently is by all accounts attainable. Predictable endeavors are being made in the field of IoT so as to augment the efficiency and unwavering quality of the urban framework. Issues, for example, traffic clog, a restricted vehicle leaving offices and street security are being tended to by IoT. Right now, present an IoT based cloud incorporated shrewd stopping framework. The proposed Intelligent Parking framework comprises of an on location sending of an IoT module that is utilized to screen and signalize the condition of accessibility of each single parking spot. A versatile application is likewise given that permits an end client to check the accessibility of parking spots and book a stopping space as needs are. The paper likewise depicts an elevated level perspective on framework engineering. Towards the end, the paper talks about the working of the framework in the type of a utilization case that demonstrates the rightness of the proposed model. Abhinav Anand Singh "Intelligent Parking System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30452.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30452/intelligent-parking-system/abhinav-anand-singh
Electronic Toll Collection System based on Radio Frequency Identification Sys...IJECEIAES
This papaer entitled electronic toll collection system based on Radio Frequncy Identification System explained in detail based on current issue at toll collection system. There are some obstacles faced every day where the users spent their valuable time in queue at tollgate due to traffic congestion as well as using traditional manual method in most existing toll ETC system to collect toll from road users. Besides that, the barrier design where each vehicle stop waiting until barrier lift which consider source of time delay. To tackle stated problems, an electronic toll collection system is proposed which based on RFID technology. The integrated system consists of two main sections, electronic sides where all input data received from while database management office is where all necessary information stored. To compare the current ETC system, in this research elaborated internet of things where all data transmit through cloud and then to the main office in real time. Not only that, there is some enhancement based on barrier design where, gate is remained open for all vehicles with sufficient tags without requiring to stop to eliminate time delay.By check system throughput compare to existing toll systems, various tests have been carried out in different method where proposed system throughput much higher percentage the current system.
Abstract Finding a parking space in most metropolitan areas, during the rush hours, is difficult for drivers. The problem arises from not knowing where is the empty space; even if it is known, many vehicles may pursue very limited parking spaces to cause serious traffic congestion. In this project, a prototype of smart parking (S-Park) system is designed and implemented that allows drivers to effectively find and reserve the empty parking spaces using an android application connected to Internet. By periodically polling the parking status from the sensor networks deployed in parking lots, the reservation status is affected by the change of physical parking status. The drivers are allowed to access the server on their Android smartphones. The proposed smart parking policy has the potential to solve the problems of parking systems, as well as reduce traffic congestion caused by parking searching thus making the system two-way efficient, that is, cost wise and time wise. Key Words: Smart parking system, Android based application, Embedded server, One time password.
RTO-VA System: Microcontroller Based Vehicle Alert System Using RFID and GSM ...paperpublications3
Abstract: Parking vehicle in proper place is a major problem. One can unknowingly or by mistake park his/her vehicle in no parking area. If RTO officer, an authorized person by RTO, finds your vehicle in no parking area; it is seized by them. To find out where your vehicle is actually bought after the procedure is very difficult and time consuming task. To avoid such inconvenience an alert system is designed. If RTO officer finds a vehicle in no parking area, he will show his identity with the help of RFID card; and the text message being generated by GSM to inform vehicle owner about the actions taken to his/her vehicle against parking a vehicle in no parking area. The text message consists of information about the station where vehicle is to be placed after the whole procedure as well as payment link by RTO is provided to do online transactions. After the message received to owner, if he/she is able to reach the place where he/she parked the vehicle, then owner can reply to the system. So that the officer will wait for owner and no need to take the further actions of seize. Owner will pay fine and get off the vehicle from no parking area. Other than authorized users if someone tries to uplift the vehicle, accelerometer sensor sense the dimensions. Buzzer is provided to system to alert owner as well as people nearby to get attention towards vehicle that something suspicious happening with it. Along with buzzer an alert message, via GSM, is send to owner of the system.
Keywords: Global system for mobile: GSM, RFID tag-reader, Accelerometer sensor, buzzer alert.
Title: RTO-VA System: Microcontroller Based Vehicle Alert System Using RFID and GSM Technology
Author: Ashwini K. Kulkarni, Sayali V. Gaikwad, Jyoti M. Kadu, Disha S. Waghole
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Traffic accidents are one of the leading causes of fatalities in the world. An important indicator of survival rates after an accident is the time between the accident and when emergency medical personnel are dispatched to the scene. Eliminating the time between when an accident occurs and when first responders are dispatched to the scene decreases mortality rates by 6%.. By combining smart phones with existing vehicles through an appropriate interface we are able to move closer to the smart vehicle paradigm, offering the user new functionalities and services when driving. In this application we propose an Android based application that monitors the vehicle through an On Board Diagnostics (OBD-II) interface, being able to detect accidents. The application reacts to positive detection by sending details about the accident through SMS to pre-defined destinations, immediately followed by an automatic phone call to the emergency services.
Smart Mobile Roadside Park Charging SystemsIJMREMJournal
Currently, roadside parking charging is mainly operated manually. However, this makes it difficult to achieve
effective management. Aimed at removing many inconveniences brought by this current approach, this study
discusses how to apply Radio Frequency Identification (RFID) in this issue. The RFID reader can be installed
on a track. Through the track, the RFID reader can detect a whole row of parking spaces along the sides of the
road and therefore, can replace the current approach with which people hold machines to scan cars one by one.
Both parkers and managers of the parking system can use an online platform which offers an open individual
inquiry system and impartial and accurate reflection of the real-time status and ensures a fair process of issuing
parking tickets.
Right now economy, the number of vehicle user’s increments exponentially requesting all the more parking spots. Inescapable nearness of advanced cell urges users to lean toward mobile application based arrangements. The development of IoT has cleared the path for the incorporation of cell phones, remote correspondence advancements, and portable applications. internet of Things IoT assumes an indispensable job in interfacing the encompassing ecological things to the system and made simple to get to those un internet things from any remote area. Its unavoidable for the individuals to refresh with the developing technology. Also, for the most part, individuals are confronting issues on leaving vehicles in leaving spaces in a city. Lately, the idea of shrewd urban communities has picked up grind prevalence. On account of the development of the Internet of things savvy city currently is by all accounts attainable. Predictable endeavors are being made in the field of IoT so as to augment the efficiency and unwavering quality of the urban framework. Issues, for example, traffic clog, a restricted vehicle leaving offices and street security are being tended to by IoT. Right now, present an IoT based cloud incorporated shrewd stopping framework. The proposed Intelligent Parking framework comprises of an on location sending of an IoT module that is utilized to screen and signalize the condition of accessibility of each single parking spot. A versatile application is likewise given that permits an end client to check the accessibility of parking spots and book a stopping space as needs are. The paper likewise depicts an elevated level perspective on framework engineering. Towards the end, the paper talks about the working of the framework in the type of a utilization case that demonstrates the rightness of the proposed model. Abhinav Anand Singh "Intelligent Parking System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30452.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30452/intelligent-parking-system/abhinav-anand-singh
Electronic Toll Collection System based on Radio Frequency Identification Sys...IJECEIAES
This papaer entitled electronic toll collection system based on Radio Frequncy Identification System explained in detail based on current issue at toll collection system. There are some obstacles faced every day where the users spent their valuable time in queue at tollgate due to traffic congestion as well as using traditional manual method in most existing toll ETC system to collect toll from road users. Besides that, the barrier design where each vehicle stop waiting until barrier lift which consider source of time delay. To tackle stated problems, an electronic toll collection system is proposed which based on RFID technology. The integrated system consists of two main sections, electronic sides where all input data received from while database management office is where all necessary information stored. To compare the current ETC system, in this research elaborated internet of things where all data transmit through cloud and then to the main office in real time. Not only that, there is some enhancement based on barrier design where, gate is remained open for all vehicles with sufficient tags without requiring to stop to eliminate time delay.By check system throughput compare to existing toll systems, various tests have been carried out in different method where proposed system throughput much higher percentage the current system.
Abstract Finding a parking space in most metropolitan areas, during the rush hours, is difficult for drivers. The problem arises from not knowing where is the empty space; even if it is known, many vehicles may pursue very limited parking spaces to cause serious traffic congestion. In this project, a prototype of smart parking (S-Park) system is designed and implemented that allows drivers to effectively find and reserve the empty parking spaces using an android application connected to Internet. By periodically polling the parking status from the sensor networks deployed in parking lots, the reservation status is affected by the change of physical parking status. The drivers are allowed to access the server on their Android smartphones. The proposed smart parking policy has the potential to solve the problems of parking systems, as well as reduce traffic congestion caused by parking searching thus making the system two-way efficient, that is, cost wise and time wise. Key Words: Smart parking system, Android based application, Embedded server, One time password.
RTO-VA System: Microcontroller Based Vehicle Alert System Using RFID and GSM ...paperpublications3
Abstract: Parking vehicle in proper place is a major problem. One can unknowingly or by mistake park his/her vehicle in no parking area. If RTO officer, an authorized person by RTO, finds your vehicle in no parking area; it is seized by them. To find out where your vehicle is actually bought after the procedure is very difficult and time consuming task. To avoid such inconvenience an alert system is designed. If RTO officer finds a vehicle in no parking area, he will show his identity with the help of RFID card; and the text message being generated by GSM to inform vehicle owner about the actions taken to his/her vehicle against parking a vehicle in no parking area. The text message consists of information about the station where vehicle is to be placed after the whole procedure as well as payment link by RTO is provided to do online transactions. After the message received to owner, if he/she is able to reach the place where he/she parked the vehicle, then owner can reply to the system. So that the officer will wait for owner and no need to take the further actions of seize. Owner will pay fine and get off the vehicle from no parking area. Other than authorized users if someone tries to uplift the vehicle, accelerometer sensor sense the dimensions. Buzzer is provided to system to alert owner as well as people nearby to get attention towards vehicle that something suspicious happening with it. Along with buzzer an alert message, via GSM, is send to owner of the system.
Keywords: Global system for mobile: GSM, RFID tag-reader, Accelerometer sensor, buzzer alert.
Title: RTO-VA System: Microcontroller Based Vehicle Alert System Using RFID and GSM Technology
Author: Ashwini K. Kulkarni, Sayali V. Gaikwad, Jyoti M. Kadu, Disha S. Waghole
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Traffic accidents are one of the leading causes of fatalities in the world. An important indicator of survival rates after an accident is the time between the accident and when emergency medical personnel are dispatched to the scene. Eliminating the time between when an accident occurs and when first responders are dispatched to the scene decreases mortality rates by 6%.. By combining smart phones with existing vehicles through an appropriate interface we are able to move closer to the smart vehicle paradigm, offering the user new functionalities and services when driving. In this application we propose an Android based application that monitors the vehicle through an On Board Diagnostics (OBD-II) interface, being able to detect accidents. The application reacts to positive detection by sending details about the accident through SMS to pre-defined destinations, immediately followed by an automatic phone call to the emergency services.
Smart Mobile Roadside Park Charging SystemsIJMREMJournal
Currently, roadside parking charging is mainly operated manually. However, this makes it difficult to achieve
effective management. Aimed at removing many inconveniences brought by this current approach, this study
discusses how to apply Radio Frequency Identification (RFID) in this issue. The RFID reader can be installed
on a track. Through the track, the RFID reader can detect a whole row of parking spaces along the sides of the
road and therefore, can replace the current approach with which people hold machines to scan cars one by one.
Both parkers and managers of the parking system can use an online platform which offers an open individual
inquiry system and impartial and accurate reflection of the real-time status and ensures a fair process of issuing
parking tickets.
With growing, Car parking increases with the number of car users. With the increased use of smartphones and their applications, users prefer mobile phone-based solutions. This paper proposes the Smart Parking Management System (SPMS) that depends on Arduino parts, Android applications, and based on IoT. This gave the client the ability to check available parking spaces and reserve a parking spot. IR sensors are utilized to know if a car park space is allowed. Its area data are transmitted using the WI-FI module to the server and are recovered by the mobile application which offers many options attractively and with no cost to users and lets the user check reservation details. With IoT technology, the smart parking system can be connected wirelessly to easily track available locations.
With growing, Car parking increases with the number of car users. With the increased use of smartphones
and their applications, users prefer mobile phone-based solutions. This paper proposes the Smart Parking
Management System (SPMS) that depends on Arduino parts, Android applications, and based on IoT. This
gave the client the ability to check available parking spaces and reserve a parking spot. IR sensors are
utilized to know if a car park space is allowed. Its area data are transmitted using the WI-FI module to the
server and are recovered by the mobile application which offers many options attractively and with no cost
to users and lets the user check reservation details. With IoT technology, the smart parking system can be
connected wirelessly to easily track available locations.
With growing, Car parking increases with the number of car users. With the increased use of smartphones and their applications, users prefer mobile phone-based solutions. This paper proposes the Smart Parking Management System (SPMS) that depends on Arduino parts, Android applications, and based on IoT. This gave the client the ability to check available parking spaces and reserve a parking spot. IR sensors are utilized to know if a car park space is allowed. Its area data are transmitted using the WI-FI module to the server and are recovered by the mobile application which offers many options attractively and with no cost to users and lets the user check reservation details. With IoT technology, the smart parking system can be connected wirelessly to easily track available locations.
A study of remotely booking slot for vehicle using Internet of Things IJECEIAES
Internet Of Things (IoT) is a continually growing area which aids us to unite diverse objects. The proposed system exhibits the universal notion of utilizing cloud-based intellectual automotive car parking facilities in smart cities as a notable implementation of the IoT. The RFID technology is used in this system along with suitable IoT protocols to evade human interference, which reduces the cost. Information is bartered using readers and tags. Open Service Gateways can be effectively used for this module. This system established on the consequence of IoT and the purposes are solving the chaos, bewilderment, and extensive backlogs in parking spaces. The proposed work aims to solve these problems and offer car drivers a hassle-free and instantaneous car parking experience. A Raspberry Pi would act as a mini-computer in our system. A suitable smallest path methodology would be cast-off to obtain the shortest distance between the user and every car park in the system. Hence, the pausing time of the user is decreased. This work furthermore includes the practice of remotely booking of a slot with the collaboration of android application exercising smartphones for the communication between the Smart Parking system and the user.
Internet of things (IoT) infrastructures are rapidly expanding, which will lead to an unanticipated rise in demand for smart cities. The concept of a "smart city" has recently gained traction in urban planning circles. An IoTbased smart parking system is the focus of this article, and it allows a motorist to locate a car park and an available parking space in an indoor metropolis, all from the comfort of their own vehicle. Additional efforts are made to reduce the time spent defining parking zones. Reduced fuel use helps to cut down on pollution, as well as avoid needless travel through congested parking lots, which can help to reduce unlawful parking and alleviate traffic congestion in the city we all live in. These innovations include automobile particular identification via radio frequency identification (RFID) tags, unoccupied slot detection through the use of ultrasonic sensors, and cost calculating based largely on parking duration. The technology we've used is unique in that it runs on separate parts of the system for the hardware and the software.
Nowadays the congestion of traffic level increases with the increasing population rapidly. With respect to
the amount of population country, the utilization of personal vehicles also increased. Most of the folks choose personal
vehicles than public transportation. Enter his/her details to the application, and enter the location where he/she wants to
reach time-consuming to find parking space in most metropolitan areas, commercial areas, especially during the rush
hours. It is often costly in almost every big city in all over the world to find a proper and secure parking space. The
proposed project is a smart parking system that delivers information to people finding a parking space online booking. It
reduce unnecessary time consuming for searching the problem of parking space in parking areas. Hence, the website is
provided by this project-based system where users can view various parking areas and choose the space from obtainable
slots. Keywords:
Similar to Machine vision based smart parking system using Internet of Things (20)
Amazon products reviews classification based on machine learning, deep learni...TELKOMNIKA JOURNAL
In recent times, the trend of online shopping through e-commerce stores and websites has grown to a huge extent. Whenever a product is purchased on an e-commerce platform, people leave their reviews about the product. These reviews are very helpful for the store owners and the product’s manufacturers for the betterment of their work process as well as product quality. An automated system is proposed in this work that operates on two datasets D1 and D2 obtained from Amazon. After certain preprocessing steps, N-gram and word embedding-based features are extracted using term frequency-inverse document frequency (TF-IDF), bag of words (BoW) and global vectors (GloVe), and Word2vec, respectively. Four machine learning (ML) models support vector machines (SVM), logistic regression (RF), logistic regression (LR), multinomial Naïve Bayes (MNB), two deep learning (DL) models convolutional neural network (CNN), long-short term memory (LSTM), and standalone bidirectional encoder representations (BERT) are used to classify reviews as either positive or negative. The results obtained by the standard ML, DL models and BERT are evaluated using certain performance evaluation measures. BERT turns out to be the best-performing model in the case of D1 with an accuracy of 90% on features derived by word embedding models while the CNN provides the best accuracy of 97% upon word embedding features in the case of D2. The proposed model shows better overall performance on D2 as compared to D1.
Design, simulation, and analysis of microstrip patch antenna for wireless app...TELKOMNIKA JOURNAL
In this study, a microstrip patch antenna that works at 3.6 GHz was built and tested to see how well it works. In this work, Rogers RT/Duroid 5880 has been used as the substrate material, with a dielectric permittivity of 2.2 and a thickness of 0.3451 mm; it serves as the base for the examined antenna. The computer simulation technology (CST) studio suite is utilized to show the recommended antenna design. The goal of this study was to get a more extensive transmission capacity, a lower voltage standing wave ratio (VSWR), and a lower return loss, but the main goal was to get a higher gain, directivity, and efficiency. After simulation, the return loss, gain, directivity, bandwidth, and efficiency of the supplied antenna are found to be -17.626 dB, 9.671 dBi, 9.924 dBi, 0.2 GHz, and 97.45%, respectively. Besides, the recreation uncovered that the transfer speed side-lobe level at phi was much better than those of the earlier works, at -28.8 dB, respectively. Thus, it makes a solid contender for remote innovation and more robust communication.
Design and simulation an optimal enhanced PI controller for congestion avoida...TELKOMNIKA JOURNAL
In this paper, snake optimization algorithm (SOA) is used to find the optimal gains of an enhanced controller for controlling congestion problem in computer networks. M-file and Simulink platform is adopted to evaluate the response of the active queue management (AQM) system, a comparison with two classical controllers is done, all tuned gains of controllers are obtained using SOA method and the fitness function chose to monitor the system performance is the integral time absolute error (ITAE). Transient analysis and robust analysis is used to show the proposed controller performance, two robustness tests are applied to the AQM system, one is done by varying the size of queue value in different period and the other test is done by changing the number of transmission control protocol (TCP) sessions with a value of ± 20% from its original value. The simulation results reflect a stable and robust behavior and best performance is appeared clearly to achieve the desired queue size without any noise or any transmission problems.
Improving the detection of intrusion in vehicular ad-hoc networks with modifi...TELKOMNIKA JOURNAL
Vehicular ad-hoc networks (VANETs) are wireless-equipped vehicles that form networks along the road. The security of this network has been a major challenge. The identity-based cryptosystem (IBC) previously used to secure the networks suffers from membership authentication security features. This paper focuses on improving the detection of intruders in VANETs with a modified identity-based cryptosystem (MIBC). The MIBC is developed using a non-singular elliptic curve with Lagrange interpolation. The public key of vehicles and roadside units on the network are derived from number plates and location identification numbers, respectively. Pseudo-identities are used to mask the real identity of users to preserve their privacy. The membership authentication mechanism ensures that only valid and authenticated members of the network are allowed to join the network. The performance of the MIBC is evaluated using intrusion detection ratio (IDR) and computation time (CT) and then validated with the existing IBC. The result obtained shows that the MIBC recorded an IDR of 99.3% against 94.3% obtained for the existing identity-based cryptosystem (EIBC) for 140 unregistered vehicles attempting to intrude on the network. The MIBC shows lower CT values of 1.17 ms against 1.70 ms for EIBC. The MIBC can be used to improve the security of VANETs.
Conceptual model of internet banking adoption with perceived risk and trust f...TELKOMNIKA JOURNAL
Understanding the primary factors of internet banking (IB) acceptance is critical for both banks and users; nevertheless, our knowledge of the role of users’ perceived risk and trust in IB adoption is limited. As a result, we develop a conceptual model by incorporating perceived risk and trust into the technology acceptance model (TAM) theory toward the IB. The proper research emphasized that the most essential component in explaining IB adoption behavior is behavioral intention to use IB adoption. TAM is helpful for figuring out how elements that affect IB adoption are connected to one another. According to previous literature on IB and the use of such technology in Iraq, one has to choose a theoretical foundation that may justify the acceptance of IB from the customer’s perspective. The conceptual model was therefore constructed using the TAM as a foundation. Furthermore, perceived risk and trust were added to the TAM dimensions as external factors. The key objective of this work was to extend the TAM to construct a conceptual model for IB adoption and to get sufficient theoretical support from the existing literature for the essential elements and their relationships in order to unearth new insights about factors responsible for IB adoption.
Efficient combined fuzzy logic and LMS algorithm for smart antennaTELKOMNIKA JOURNAL
The smart antennas are broadly used in wireless communication. The least mean square (LMS) algorithm is a procedure that is concerned in controlling the smart antenna pattern to accommodate specified requirements such as steering the beam toward the desired signal, in addition to placing the deep nulls in the direction of unwanted signals. The conventional LMS (C-LMS) has some drawbacks like slow convergence speed besides high steady state fluctuation error. To overcome these shortcomings, the present paper adopts an adaptive fuzzy control step size least mean square (FC-LMS) algorithm to adjust its step size. Computer simulation outcomes illustrate that the given model has fast convergence rate as well as low mean square error steady state.
Design and implementation of a LoRa-based system for warning of forest fireTELKOMNIKA JOURNAL
This paper presents the design and implementation of a forest fire monitoring and warning system based on long range (LoRa) technology, a novel ultra-low power consumption and long-range wireless communication technology for remote sensing applications. The proposed system includes a wireless sensor network that records environmental parameters such as temperature, humidity, wind speed, and carbon dioxide (CO2) concentration in the air, as well as taking infrared photos.The data collected at each sensor node will be transmitted to the gateway via LoRa wireless transmission. Data will be collected, processed, and uploaded to a cloud database at the gateway. An Android smartphone application that allows anyone to easily view the recorded data has been developed. When a fire is detected, the system will sound a siren and send a warning message to the responsible personnel, instructing them to take appropriate action. Experiments in Tram Chim Park, Vietnam, have been conducted to verify and evaluate the operation of the system.
Wavelet-based sensing technique in cognitive radio networkTELKOMNIKA JOURNAL
Cognitive radio is a smart radio that can change its transmitter parameter based on interaction with the environment in which it operates. The demand for frequency spectrum is growing due to a big data issue as many Internet of Things (IoT) devices are in the network. Based on previous research, most frequency spectrum was used, but some spectrums were not used, called spectrum hole. Energy detection is one of the spectrum sensing methods that has been frequently used since it is easy to use and does not require license users to have any prior signal understanding. But this technique is incapable of detecting at low signal-to-noise ratio (SNR) levels. Therefore, the wavelet-based sensing is proposed to overcome this issue and detect spectrum holes. The main objective of this work is to evaluate the performance of wavelet-based sensing and compare it with the energy detection technique. The findings show that the percentage of detection in wavelet-based sensing is 83% higher than energy detection performance. This result indicates that the wavelet-based sensing has higher precision in detection and the interference towards primary user can be decreased.
A novel compact dual-band bandstop filter with enhanced rejection bandsTELKOMNIKA JOURNAL
In this paper, we present the design of a new wide dual-band bandstop filter (DBBSF) using nonuniform transmission lines. The method used to design this filter is to replace conventional uniform transmission lines with nonuniform lines governed by a truncated Fourier series. Based on how impedances are profiled in the proposed DBBSF structure, the fractional bandwidths of the two 10 dB-down rejection bands are widened to 39.72% and 52.63%, respectively, and the physical size has been reduced compared to that of the filter with the uniform transmission lines. The results of the electromagnetic (EM) simulation support the obtained analytical response and show an improved frequency behavior.
Deep learning approach to DDoS attack with imbalanced data at the application...TELKOMNIKA JOURNAL
A distributed denial of service (DDoS) attack is where one or more computers attack or target a server computer, by flooding internet traffic to the server. As a result, the server cannot be accessed by legitimate users. A result of this attack causes enormous losses for a company because it can reduce the level of user trust, and reduce the company’s reputation to lose customers due to downtime. One of the services at the application layer that can be accessed by users is a web-based lightweight directory access protocol (LDAP) service that can provide safe and easy services to access directory applications. We used a deep learning approach to detect DDoS attacks on the CICDDoS 2019 dataset on a complex computer network at the application layer to get fast and accurate results for dealing with unbalanced data. Based on the results obtained, it is observed that DDoS attack detection using a deep learning approach on imbalanced data performs better when implemented using synthetic minority oversampling technique (SMOTE) method for binary classes. On the other hand, the proposed deep learning approach performs better for detecting DDoS attacks in multiclass when implemented using the adaptive synthetic (ADASYN) method.
The appearance of uncertainties and disturbances often effects the characteristics of either linear or nonlinear systems. Plus, the stabilization process may be deteriorated thus incurring a catastrophic effect to the system performance. As such, this manuscript addresses the concept of matching condition for the systems that are suffering from miss-match uncertainties and exogeneous disturbances. The perturbation towards the system at hand is assumed to be known and unbounded. To reach this outcome, uncertainties and their classifications are reviewed thoroughly. The structural matching condition is proposed and tabulated in the proposition 1. Two types of mathematical expressions are presented to distinguish the system with matched uncertainty and the system with miss-matched uncertainty. Lastly, two-dimensional numerical expressions are provided to practice the proposed proposition. The outcome shows that matching condition has the ability to change the system to a design-friendly model for asymptotic stabilization.
Implementation of FinFET technology based low power 4×4 Wallace tree multipli...TELKOMNIKA JOURNAL
Many systems, including digital signal processors, finite impulse response (FIR) filters, application-specific integrated circuits, and microprocessors, use multipliers. The demand for low power multipliers is gradually rising day by day in the current technological trend. In this study, we describe a 4×4 Wallace multiplier based on a carry select adder (CSA) that uses less power and has a better power delay product than existing multipliers. HSPICE tool at 16 nm technology is used to simulate the results. In comparison to the traditional CSA-based multiplier, which has a power consumption of 1.7 µW and power delay product (PDP) of 57.3 fJ, the results demonstrate that the Wallace multiplier design employing CSA with first zero finding logic (FZF) logic has the lowest power consumption of 1.4 µW and PDP of 27.5 fJ.
Evaluation of the weighted-overlap add model with massive MIMO in a 5G systemTELKOMNIKA JOURNAL
The flaw in 5G orthogonal frequency division multiplexing (OFDM) becomes apparent in high-speed situations. Because the doppler effect causes frequency shifts, the orthogonality of OFDM subcarriers is broken, lowering both their bit error rate (BER) and throughput output. As part of this research, we use a novel design that combines massive multiple input multiple output (MIMO) and weighted overlap and add (WOLA) to improve the performance of 5G systems. To determine which design is superior, throughput and BER are calculated for both the proposed design and OFDM. The results of the improved system show a massive improvement in performance ver the conventional system and significant improvements with massive MIMO, including the best throughput and BER. When compared to conventional systems, the improved system has a throughput that is around 22% higher and the best performance in terms of BER, but it still has around 25% less error than OFDM.
Reflector antenna design in different frequencies using frequency selective s...TELKOMNIKA JOURNAL
In this study, it is aimed to obtain two different asymmetric radiation patterns obtained from antennas in the shape of the cross-section of a parabolic reflector (fan blade type antennas) and antennas with cosecant-square radiation characteristics at two different frequencies from a single antenna. For this purpose, firstly, a fan blade type antenna design will be made, and then the reflective surface of this antenna will be completed to the shape of the reflective surface of the antenna with the cosecant-square radiation characteristic with the frequency selective surface designed to provide the characteristics suitable for the purpose. The frequency selective surface designed and it provides the perfect transmission as possible at 4 GHz operating frequency, while it will act as a band-quenching filter for electromagnetic waves at 5 GHz operating frequency and will be a reflective surface. Thanks to this frequency selective surface to be used as a reflective surface in the antenna, a fan blade type radiation characteristic at 4 GHz operating frequency will be obtained, while a cosecant-square radiation characteristic at 5 GHz operating frequency will be obtained.
Reagentless iron detection in water based on unclad fiber optical sensorTELKOMNIKA JOURNAL
A simple and low-cost fiber based optical sensor for iron detection is demonstrated in this paper. The sensor head consist of an unclad optical fiber with the unclad length of 1 cm and it has a straight structure. Results obtained shows a linear relationship between the output light intensity and iron concentration, illustrating the functionality of this iron optical sensor. Based on the experimental results, the sensitivity and linearity are achieved at 0.0328/ppm and 0.9824 respectively at the wavelength of 690 nm. With the same wavelength, other performance parameters are also studied. Resolution and limit of detection (LOD) are found to be 0.3049 ppm and 0.0755 ppm correspondingly. This iron sensor is advantageous in that it does not require any reagent for detection, enabling it to be simpler and cost-effective in the implementation of the iron sensing.
Impact of CuS counter electrode calcination temperature on quantum dot sensit...TELKOMNIKA JOURNAL
In place of the commercial Pt electrode used in quantum sensitized solar cells, the low-cost CuS cathode is created using electrophoresis. High resolution scanning electron microscopy and X-ray diffraction were used to analyze the structure and morphology of structural cubic samples with diameters ranging from 40 nm to 200 nm. The conversion efficiency of solar cells is significantly impacted by the calcination temperatures of cathodes at 100 °C, 120 °C, 150 °C, and 180 °C under vacuum. The fluorine doped tin oxide (FTO)/CuS cathode electrode reached a maximum efficiency of 3.89% when it was calcined at 120 °C. Compared to other temperature combinations, CuS nanoparticles crystallize at 120 °C, which lowers resistance while increasing electron lifetime.
In place of the commercial Pt electrode used in quantum sensitized solar cells, the low-cost CuS cathode is created using electrophoresis. High resolution scanning electron microscopy and X-ray diffraction were used to analyze the structure and morphology of structural cubic samples with diameters ranging from 40 nm to 200 nm. The conversion efficiency of solar cells is significantly impacted by the calcination temperatures of cathodes at 100 °C, 120 °C, 150 °C, and 180 °C under vacuum. The fluorine doped tin oxide (FTO)/CuS cathode electrode reached a maximum efficiency of 3.89% when it was calcined at 120 °C. Compared to other temperature combinations, CuS nanoparticles crystallize at 120 °C, which lowers resistance while increasing electron lifetime.
A progressive learning for structural tolerance online sequential extreme lea...TELKOMNIKA JOURNAL
This article discusses the progressive learning for structural tolerance online sequential extreme learning machine (PSTOS-ELM). PSTOS-ELM can save robust accuracy while updating the new data and the new class data on the online training situation. The robustness accuracy arises from using the householder block exact QR decomposition recursive least squares (HBQRD-RLS) of the PSTOS-ELM. This method is suitable for applications that have data streaming and often have new class data. Our experiment compares the PSTOS-ELM accuracy and accuracy robustness while data is updating with the batch-extreme learning machine (ELM) and structural tolerance online sequential extreme learning machine (STOS-ELM) that both must retrain the data in a new class data case. The experimental results show that PSTOS-ELM has accuracy and robustness comparable to ELM and STOS-ELM while also can update new class data immediately.
Electroencephalography-based brain-computer interface using neural networksTELKOMNIKA JOURNAL
This study aimed to develop a brain-computer interface that can control an electric wheelchair using electroencephalography (EEG) signals. First, we used the Mind Wave Mobile 2 device to capture raw EEG signals from the surface of the scalp. The signals were transformed into the frequency domain using fast Fourier transform (FFT) and filtered to monitor changes in attention and relaxation. Next, we performed time and frequency domain analyses to identify features for five eye gestures: opened, closed, blink per second, double blink, and lookup. The base state was the opened-eyes gesture, and we compared the features of the remaining four action gestures to the base state to identify potential gestures. We then built a multilayer neural network to classify these features into five signals that control the wheelchair’s movement. Finally, we designed an experimental wheelchair system to test the effectiveness of the proposed approach. The results demonstrate that the EEG classification was highly accurate and computationally efficient. Moreover, the average performance of the brain-controlled wheelchair system was over 75% across different individuals, which suggests the feasibility of this approach.
Adaptive segmentation algorithm based on level set model in medical imagingTELKOMNIKA JOURNAL
For image segmentation, level set models are frequently employed. It offer best solution to overcome the main limitations of deformable parametric models. However, the challenge when applying those models in medical images stills deal with removing blurs in image edges which directly affects the edge indicator function, leads to not adaptively segmenting images and causes a wrong analysis of pathologies wich prevents to conclude a correct diagnosis. To overcome such issues, an effective process is suggested by simultaneously modelling and solving systems’ two-dimensional partial differential equations (PDE). The first PDE equation allows restoration using Euler’s equation similar to an anisotropic smoothing based on a regularized Perona and Malik filter that eliminates noise while preserving edge information in accordance with detected contours in the second equation that segments the image based on the first equation solutions. This approach allows developing a new algorithm which overcome the studied model drawbacks. Results of the proposed method give clear segments that can be applied to any application. Experiments on many medical images in particular blurry images with high information losses, demonstrate that the developed approach produces superior segmentation results in terms of quantity and quality compared to other models already presented in previeous works.
Automatic channel selection using shuffled frog leaping algorithm for EEG bas...TELKOMNIKA JOURNAL
Drug addiction is a complex neurobiological disorder that necessitates comprehensive treatment of both the body and mind. It is categorized as a brain disorder due to its impact on the brain. Various methods such as electroencephalography (EEG), functional magnetic resonance imaging (FMRI), and magnetoencephalography (MEG) can capture brain activities and structures. EEG signals provide valuable insights into neurological disorders, including drug addiction. Accurate classification of drug addiction from EEG signals relies on appropriate features and channel selection. Choosing the right EEG channels is essential to reduce computational costs and mitigate the risk of overfitting associated with using all available channels. To address the challenge of optimal channel selection in addiction detection from EEG signals, this work employs the shuffled frog leaping algorithm (SFLA). SFLA facilitates the selection of appropriate channels, leading to improved accuracy. Wavelet features extracted from the selected input channel signals are then analyzed using various machine learning classifiers to detect addiction. Experimental results indicate that after selecting features from the appropriate channels, classification accuracy significantly increased across all classifiers. Particularly, the multi-layer perceptron (MLP) classifier combined with SFLA demonstrated a remarkable accuracy improvement of 15.78% while reducing time complexity.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
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2. TELKOMNIKA ISSN: 1693-6930
Machine vision based smart parking system using Internet of Things (Daniel Ng Chiu Loong)
2099
vehicle motion is the major target. Blob tracking method and Canny edge detection method are
used for vehicle detection.
IoT (Internet of Things) Smart Car Parking System Using Machine Vision is
the promising solution to improve the current situation. This system consists of IoT, mobile
application together with machine vision through digital image processing. Ubidot is used as
the database to store data collected from Pi at the same time allows mobile app, Spot to
download the real-time data upon request. On the other hand, Firebase is used to enable user
login and communication platform data storage.
All users are required to register to the application with their user name, email and
car-plate number. If there are any emergency incident such as user forget to switch off
the headlight, children left in locked car or suspicious people trying to break in the car, other
users can use the mobile application to alert the driver using chat feature in the application.
Besides, with the mobile application, drivers can communicate with other user if their car is
double parked by other user. This system reduces the time for drivers to find parking and
resolves the double parking problem.
2. Research Method
The smart parking system consists of two major parts which are car park monitoring
and Android mobile application. Figure 1 shows the block diagram of the system. The proposed
method to monitor the outdoor parking space is by using a camera placed on top of nearby
building, and real-time video will be captured and processed. After image processing,
the real-time data of the car park will be collected and send to online database for data storage
and monitoring. Next, the second major part of this project is the mobile application that
retrieves data from database and displays it to the user. Besides, another feature of
the application is to allow users to communicate with each other in the event of emergency
incidents. User can contact the driver by either scan the QR code or insert the car plate number.
Double parking issue therefore can be effectively handled if the drivers can be contacted to
move their car using this application.
Figure 1. Block diagram of the proposed system
2.1. Principle of Detection
Vehicle body consists different shapes, edges and colors. Numerous car components
like windows, hood, bumper, headlight, front grille, and license plate contain more edges
compared to normal road condition without the presence of the car. Surface of the parking lots,
except the white mark-off lines, is more uniform and less edges relatively. Thus, it is safely
assure all vehicles can be distinguished from road surface or empty parking lots by detecting
the edges of the vehicles. Besides the above reasoning, commonly the moving objects in
the parking space are pedestrians and vehicles, thus assumption of larger moving objects exist
5MP NoIR
camera
Raspberry Pi 3 Model
B
Database
Ubidots
Android
Apps
OpenCV
CSI bus WIFI
3G/4G/WIFIPython Library
Python Programming
Hardware Integration IoT and Android App
Digital image processing
Java,XMLProgramming
3. ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 4, August 2019: 2098-2106
2100
in the parking space belongs to the vehicles is logical. Tracking moving vehicles enter or exit
the parking, followed by detecting the edges within the parking lots can significantly improve
the detection accuracy.
Once the position of the camera fixed, all the parking lots coordinates are known and
segmented. To reduce potential environmental factors that may contribute to error in detection,
a black overlay is masked on top of the video frames to block the surroundings such as trees
and road. Canny edges detection technique is utilized to focus on all the edges of
the segmented frames. The edges of the frame are converted into white pixel while the others
are black in colors. Afterward, the image is dilated to enlarge and increase the white pixels in
the image. Dilation is one of the morphological operation useful to combine multiples small
objects into a larger blob. As the result, when the vehicles present in the parking lots, more
edges contribute to large amount of white pixels. The percentage of white pixels in
the segmented image is calculated based on the (1).
of white pixels
total white pixels
total segmented image pixel
(1)
All the percentage results of all segmented parking lots are then stored in the program
and repeatedly refresh to the latest result. The resulted image shows edge in white pixels while
the background in black. Higher percentage of white pixel appear in the segmented frame
allows us to determine the car presences in it. Figure 2 shows the image after Canny edge
detection.
Figure 2. Image after Canny edge detection
Next, second step is to detect the moving vehicles in the parking space. The video input
frame captured is first converted into greyscale to remove all the colors, followed by Gaussian
smoothing applied on the image for filtering purpose. Blob detection technique is used in this
project, image subtraction between video frames in greyscale to find the differences.
After subtraction, image is binarized to convert the image to black and white with a fixed
threshold. The differences between the frames are turned into white color, at the same time
static background becomes black in color. To signify and enlarge the potential vehicles blob,
dilate operation is utilized. As a result, all the moving objects in the captured view
are white blobs.
Then, by specifying the area size of the objects, the unwanted noise such as pedestrian
can be filtered out to focus on the moving vehicles that enter or exit the parking space. Once
noise is filtered out, the centroid of the blob is determined and a rectangle box is drawn on
the moving vehicles. The centroid location is used to detect the transition happened in which
exact parking lot. Figure 3 (a) shows the image result after subtraction and Figure 3 (b) shows
the image result after dilation. As the blob, vehicle in this case is moving, its centroid is
consistently updated to the latest coordinates. After the transition of vehicle entering or exiting
the parking lot is completed, the last centroid position will identify the exact transition happened
in which segmented parking lot. Then, the corresponding parking lot will go through Canny edge
4. TELKOMNIKA ISSN: 1693-6930
Machine vision based smart parking system using Internet of Things (Daniel Ng Chiu Loong)
2101
detection process again to obtain the latest result of total white pixel percentage using
the same (1).
Finally, by comparing the latest percentage to the stored percentage, the differentiation
between exit or enter the parking is possible. For instant, if the transition happened is vehicle
entering the parking lot, the latest percentage will be significantly higher than the stored
percentage, because the stored percentage value is extracted from empty parking lot before
the vehicle enters. Using this logical approach, the program can identify that this is indeed an
incoming transition of vehicle enters the parking lot. This logic also works well for vehicle exiting
the parking, as the stored percentage will be higher than the latest percentage.
(a) (b)
Figure 3. Image after (a) subtraction and (b) dilation
2.2. Implementation
An outdoor parking space consists of 20 parking lots is selected for prototype
experiment. The camera is placed at the 5th floor of nearby building to enable bird view to
the parking space. In this prototype, Raspberry Pi 3 Model B is used as the main computer to
receive the input from camera as well as a processing unit to process the video data.
The camera selected is 5MP NoIR camera with 0.67x wide lens installed, connected to
Raspberry Pi 3 Model B via CSI data bus. The camera is installed on top of a small tripod to
ensure static position when capturing the video.
After the hardware is setup, the video data will be processed using OpenCV built-in
libraries. Figure 4 shows the flow of the image processing of the system. The image processing
algorithm is written in Python languages in Raspberry Pi 3. Raspberry Pi 3 is powered via
microUSB with the standard power supply of 5.25V, 2A. Internet connection will be established
via WIFI to allow data uploading onto online IoT database, Ubidots. Once the position of
the camera is fixed, all the parking lots coordinates are known and segmented. To reduce
potential environmental factors that may contribute to error in detection, a black overlay is
masked on top of the video frames to block the surroundings such as trees and road.
The experiment data is collected for 5 days during day time, 4 of the 5 days are good weather
with clear skies, and 1 rainy day. The video captured is resized to resolution of 500 x 500 in
order to achieve smoother video performance without compromising the detection accuracy.
Figure 4. General flow of the image processing of the system
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2.3. Database and Android Mobile Application
Ubidots is used as the IoT database for this project, it is one of the growing IoT online
platform designed to store all the data uploaded from IoT devices. Data uploaded from
Raspberry Pi is stored and displayed on Ubidots. Then, the data can be downloaded to Android
mobile application whenever user intents to observe the available parking space. Spot also
allows user to sign up and login, thus Firebase is utilized as backend online database to store
user data as well as support mini chat room feature built-in in the application. Firebase is a
mobile and web application platform with tools and infrastructure designed to help developers
build high-quality apps. Firebase is made up of complementary features that developers can
mix-and-match to fit their needs. Since this project is just prototyping, we only use free version
for both platforms.
Android mobile application is designed to allow user to receive the real-time parking
space data whenever necessary. The mobile application is created using Android Studio and
coded in Java and XML. Java is programming language to provide logic behind the application
while XML language is used to design application layout. To observe the availability of
the parking space in, user first access to Google Map with a location search bar option to find
the nearest parking to their location. User can insert their desired destination on the search bar
then Geocoder will suggest few locations for the user to select. Once the location has been
selected, the nearby parking with camera installed will be displayed on the map. Then, the user
can click in it and the application will navigate the user to the next layout showing the real-time
availability of the parking space. When users register to Spot, they are required to provide their
car plate number as one of their identity to other user. Second feature of the mobile application
allows user to insert the car plate in order to start an instant chat conversation with the driver in
the event of emergency or double parking. A chat room will be created for the two drivers to
communicate.
3. Results and Discussion
The project experiment is conducted at one of the outdoor parking space that consists
of 20 parking lots. The raw image of the camera view is shown in Figure 5. This image contains
more redness due to the lack of infrared filter, however this NoIR camera is used since it has a
better performance during low light condition. The image frame was resized to 500×500
resolutions and the frames per second of the captured video was maintained at 6 fps. In order to
avoid any unwanted noises and false detection, a black mask was overlay on top of the raw
input frame in order to cover the surrounding environments and the roads. Each of the parking
space had been segmented with the dedicated coordinates of its own, so that the program could
precisely identified the exact parking space that vehicle is entering or exiting from.
Figures 6 (a) and (b) respectively show the motion detection during vehicle entering and after
vehicle exiting at a selected parking lot (shows by a rectangular box) for demonstration purpose.
The robustness of the program algorithm has been tested with several images that contain other
moving objects such as walking pedestrians, bicycle etc. It has been confirmed that any
changes in surrounding would not affect the performance of the system.
Figure 5. Camera view of parking space
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Machine vision based smart parking system using Internet of Things (Daniel Ng Chiu Loong)
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(a)
(b)
Figure 6. Detection of (a) occupied parking lot when entering and (b) empty parking lot
when exiting
3.1. Experimental Result
The experiment had been carried out for five days with different weather situation as
the variables to test the system accuracy. Figure 7 shows several images captured by
the camera in different day time. Green circles indicated empty parking spaces while red circles
indicated occupied ones. Whenever transition happened, the circles would turned colour based
on the latest status predicted by the algorithm.
Results of the experiments are tabulated in Table 1. The (2) is used to determine
the accuracy. The overall detection accuracy is 96.40% for the total of 111 samples
collected.The detection mistakes were caused by dimmer surroundings light due to cloudy or
rainy weather. During lower light condition, instead of forming a large blob, moving vehicles may
formed by several smaller blobs instead. Then, the program may potentially miss out any
moving vehicles in the parking space, because the smaller blobs will be recognized as noise
and filtered out. The mistakes however can be reduced by adding luminance detection when
capturing the images. By sensing the light intensity of the video, the program can be built to
switch the dilation iterations. For lower light conditions, more iterations are preferred to improve
the accuracy.
ccuracy
orrect redicted ransition
ctual ransition
(
(2)
Over 96.40% accuracy with smaller number of samples collected proven that this
parking detection method is working well and it is also easily scalable and low cost. With more
advanced camera and computer installed, it certainly can further improve the detection
accuracy.
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Table 1. Data Collected from 111 samples
Day Weather Number of sample of transitions Detection accuracy (%)
1 Clear 15 100
2 Clear 37 100
3 Clear 20 95
4 Rain 24 91.67
5 Clear 15 93.33
Total 111 96.4
Figure 7. Detection image during (a) noon (b) afternoon (c) evening (d) night
3.2. Online Database
The data uploaded from Raspberry Pi 3 can be displayed on Ubidots website. Two main
data are uploaded into the database; the total number of parking and the 20 parking lots status
encoded from binary form into decimal form. From here, monitoring by private owner or related
authority is possible as the data is useful to create statistics to better understand on how public
uses the parking space. Once the system operated in 24 hours, the real time data can be
collected and display on this dashboard in various format such as bar chart or table. In
the future, if this system is installed in a paid parking space, the owner can acquire more
parking space related data and plan for the business strategy. The Firebase database also has
a data structure where all the user info and chat are stored inside.
3.3. Android Mobile Application
An Android mobile application is created in order for user to retrieve data in real time.
When user click into the application, it will first navigate the user to a Google Maps layout as
shown in Figure 8 (a). A search bar is located on top of the map for user to search for their
desired destination. Then, several parking area will be suggested or list out from the input text,
so user can select their preferred parking area. Once the selection is completed, the map will
automatically moves from the current view to the selected place with a map pin showing
the location. From here, user can observe if there is any nearby parking space with the parking
logo. The parking logo indicates that the parking is installed with the camera providing the real
time data on the availability of the parking space. Next, user can click on one of the parking logo
and the mobile application will navigate the user to another page showing the current status of
the parking space, as shown in Figure 8 (b). The parking status are showing in two colors, red
and green. Red indicates that currently the parking lots are been occupied while the green color
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Machine vision based smart parking system using Internet of Things (Daniel Ng Chiu Loong)
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parking lots are the available empty lots. From here, user can actually plan ahead of their
journey by first observing actually how many parking are available. Beside, Figure 8 (c) shows
the instant messaging features in the mobile application, users can start conversation with each
other to resolve emergency situation.
(a) (b) (c)
Figure 8. (a) Google Maps layout, (b) Real time parking status layout, and (c) Chat room layout
4. Conclusion
A cost effective method of smart parking system is proposed and implemented using
camera to detect the presence of vehicles in the parking lots and Raspberry Pi as
the microcontroller. Due to the lightweight of the hardware used in this system, it can be
installed in various locations to obtain the best view angle to the parking space. This system is
scalable and suitable to be installed around the city to construct a network of smart parking
system, contributing in building a smarter city.This system been tested on an actual outdoor
parking space, with diverse weather conditions such as clear sky and rain. The detection
accuracy obtained is 96.40%, which suggested that this method is effective. Nonetheless, night
time detection can potentially achieves the same accuracy with sufficient night illumination.
In the future, the accuracy of this method can be further improved by using better camera and
faster processing unit. This system also uses internet connection to upload the real-time data,
aligns with the vision of smarter city when more sensor devices connecting to the internet,
create a network of Internet of Things. Finally, the mobile application can potentially be
commercialize and provide on Google Play store for public to download and free to use, allow
public to access to the real time parking status.
Acknowledgements
Author would like to acknowledge Research Management Centre, Universiti Teknologi
Malaysia for providing an excellent research environment to complete this work and to Ministry
of Education Malaysia.
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