The current paper is mainly about maintaining a secure
environment and also free from thefts that are happening
in our home. The present paper discusses about the
detection of intruders with the help of the various
devices and software.. OpenCV(open source computer
vision) is the major software that is being used in our
present work. For detecting faces we are using various
algorithms like Haar cascade, linear SVM, deep neural
network etc. The main method that we have proposed in
our work is, if any person comes in front of the pi
camera, first it will look for potential matches that we
have already stored in our system If the module finds a
match then it continues to record until any intruder
comes. If the face is not recognized then the unknown
person’s face will be captured and a snap shot will be
sent to the user’s email. The device is developed using
Raspberry Pi b+ with 1.4 GHz quad core processor,
raspberry pi camera module and a Wireless dongle to
communicate with user’s email.
OpenCV, Rassberry pi, python
The aim of this article is to explain the readers the technique of sending data from the sensor
through the Raspberry pi and communicating it to the Thingspeak cloud which is an IOT
platform. To explain the procedure a simple ultrasonic sensor HC-SR-04 which senses objects
up to a distance of 13 ft connected with a raspberry Pi board is used.
This tutorial describe about Raspberry Pi board, Ultrasonic sensor, circuit design for sensing of
data, Python programming script with step by step interpretation. Finally procedure for creating a
channel in ThinSpeak for uploading our data and to read the uploaded data from a remote
desktop/mobile is also included in this tutorial.
Internet Of Things(IoT) is emerging technology in future world.The term IoT comprises of Cloud computing, Data mining,
Big data analytics, hardware board. The Security and Interoperability is a main factor that influences the IoT Enegy
consumption is also main fator for IoT application designing.The various protocols such as MQTT,AMQP,XMPP are used in
IoT.This paper analysis the various protocols used in Internet of Things.
Our future battle field system will have more difficulties to maintain security, because of increasing military competitive. Ability to understand, predict and adopt the vast array of inter-networked things is very difficult. Unwanted fire, unauthorized human intervention and other object movement will play major important role for affecting military environment. This project aims to help our future military environment by introducing new technology LoRaWAN in IoT (Internet of Things). LoRaWAN (Long Range Wide Area Network) is a state -of- art commercial of the self (COTS) technology. This project consist of sensors, embedded microcontrollers equipped with LoRaWAN, embedded processors equipped with LoRaWAN and cloud technology. By introducing this new technology in our future military environment we can easily find out criminal activities and fire hazards.
Industrial automation is very much popular now- a days as it improves profitability, safety and reliability. In
industrial automation control, a wide number of process variables such as, temperature, stream, pressure,
distance, and fluid levels can be detected all the while. By implementing Raspberry Pi and Embedded web
server technology and utilizing local networking standards, industrial parameters can be controlled and
checked distantly. It reduces designing expenses regarding manual arrangements of all involved gadgets. In
this project, a system is created which will monitor automatically the industrial applications, the temperature,
humidity, gas leakages.Camera is utilized for identifying and alerting from undesirable activities or
unauthorized persons including in surrounded region of industry. In the proposed system raspberry pi is
utilized as controller and server, python language is utilized to run the prototype. The Raspberry pi
communicates with the Embedded Web Server. When the information is associated with the web server, it will
store and give the information at required time. PuTTY software are utilized for checking and controlling the
industrial parameters.
In this paper, we provide the solution for physically challenged people like hearing impaired people .It is a
smart application works for the hearing impaired people. People with hearing loss have move through the
activities of daily living at home, at work and in business situations. People may face the difficulty in hearing
the environment sounds and identifying the sounds. Our main contribution for the hearing impaired people is
to make them understand the type of sounds which is useful to them. The conventional sound recognition
techniques are not directly applicable since the background noise and reverberations are high which leads to
low performance. A deep neural network which is capable of classifying and predicting the information from
unstructured data such as image, text or sounds that makes the machine to get the environmental sounds. In
this paper, a deep learning algorithm called CNN(convolution neural network) which classify the sound audio
clips. This model will results the accuracy of 80% which is higher than the conventional technique .It achieves
good results comparable to other approaches.
deep learning; convolution neural network; feature extraction; sound recognition; sound event
classification.
The aim of this article is to explain the readers the technique of sending data from the sensor
through the Raspberry pi and communicating it to the Thingspeak cloud which is an IOT
platform. To explain the procedure a simple ultrasonic sensor HC-SR-04 which senses objects
up to a distance of 13 ft connected with a raspberry Pi board is used.
This tutorial describe about Raspberry Pi board, Ultrasonic sensor, circuit design for sensing of
data, Python programming script with step by step interpretation. Finally procedure for creating a
channel in ThinSpeak for uploading our data and to read the uploaded data from a remote
desktop/mobile is also included in this tutorial.
Internet Of Things(IoT) is emerging technology in future world.The term IoT comprises of Cloud computing, Data mining,
Big data analytics, hardware board. The Security and Interoperability is a main factor that influences the IoT Enegy
consumption is also main fator for IoT application designing.The various protocols such as MQTT,AMQP,XMPP are used in
IoT.This paper analysis the various protocols used in Internet of Things.
Our future battle field system will have more difficulties to maintain security, because of increasing military competitive. Ability to understand, predict and adopt the vast array of inter-networked things is very difficult. Unwanted fire, unauthorized human intervention and other object movement will play major important role for affecting military environment. This project aims to help our future military environment by introducing new technology LoRaWAN in IoT (Internet of Things). LoRaWAN (Long Range Wide Area Network) is a state -of- art commercial of the self (COTS) technology. This project consist of sensors, embedded microcontrollers equipped with LoRaWAN, embedded processors equipped with LoRaWAN and cloud technology. By introducing this new technology in our future military environment we can easily find out criminal activities and fire hazards.
Industrial automation is very much popular now- a days as it improves profitability, safety and reliability. In
industrial automation control, a wide number of process variables such as, temperature, stream, pressure,
distance, and fluid levels can be detected all the while. By implementing Raspberry Pi and Embedded web
server technology and utilizing local networking standards, industrial parameters can be controlled and
checked distantly. It reduces designing expenses regarding manual arrangements of all involved gadgets. In
this project, a system is created which will monitor automatically the industrial applications, the temperature,
humidity, gas leakages.Camera is utilized for identifying and alerting from undesirable activities or
unauthorized persons including in surrounded region of industry. In the proposed system raspberry pi is
utilized as controller and server, python language is utilized to run the prototype. The Raspberry pi
communicates with the Embedded Web Server. When the information is associated with the web server, it will
store and give the information at required time. PuTTY software are utilized for checking and controlling the
industrial parameters.
In this paper, we provide the solution for physically challenged people like hearing impaired people .It is a
smart application works for the hearing impaired people. People with hearing loss have move through the
activities of daily living at home, at work and in business situations. People may face the difficulty in hearing
the environment sounds and identifying the sounds. Our main contribution for the hearing impaired people is
to make them understand the type of sounds which is useful to them. The conventional sound recognition
techniques are not directly applicable since the background noise and reverberations are high which leads to
low performance. A deep neural network which is capable of classifying and predicting the information from
unstructured data such as image, text or sounds that makes the machine to get the environmental sounds. In
this paper, a deep learning algorithm called CNN(convolution neural network) which classify the sound audio
clips. This model will results the accuracy of 80% which is higher than the conventional technique .It achieves
good results comparable to other approaches.
deep learning; convolution neural network; feature extraction; sound recognition; sound event
classification.
IoT Assisted Fingerprint Based Door Security System using Raspberry PI 4ijtsrd
The ongoing progress in the field of Internet of Things IoT permits to embed security system as a part of it. In order to deal with security, authentication of legit users and in turn warning of unauthorized person plays an essential task. This report proposes to design an intelligent entrance control system based on biometric train in terms of fingerprint which also incorporates IoT functionality for indication of illegitimate users. The ongoing progress in the field of Internet of Things IoT permits to embed security system as a part of it. In order to deal with security, authentication of legit users and in turn warning of unauthorized person plays an essential task. This report proposes to design an intelligent entrance control system based on biometric train in terms of fingerprint which also incorporates IoT functionality for indication of illegitimate users. Prof. S. D. Lavange | Mr Girish Goalit | Mr. Sachin Kshirsagar | Mr Prasad Barhate "IoT Assisted Fingerprint Based Door Security System using Raspberry PI 4" 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/ijtsrd30271.pdf Paper Url :https://www.ijtsrd.com/engineering/electrical-engineering/30271/iot-assisted-fingerprint-based-door-security-system-using-raspberry-pi-4/prof-s-d-lavange
Flooding is considered one of the most devastating natural disasters in the world. In countries like India with
climatic conditions occurrence of heavy rain fall and subsequent discharge of water leads to Flood. Flooding
creates major damages to life , their habitats and the economy By installing of flood alerting systems near
major waterways vital information can be provide so that lives and property can be protected. Normal Weather
monitoring and alerting systems are not quick and accurate enough to predict floods in time to prevent personal or
environmental damages. The government has to spend tons of money in flood mitigation plans to help the victims
and also to reduce the number in the long run damages that can occur after flooding. Since Most of the flood alerting
systems involves high cost they are deployed on select locations based on priority.In this project we make use of a
cost effective system using raspberry pi board and sensors, to measure flood flow rate and rise of water level in
revvers and water bodies and alert government authorities and people instantly by transmitting information using
IOT. In the present work we have used thingspeak-IOT platform . The data can be accessed from android smart
phones using thingsView mobile application at any time from anywhere in the world.
In this paper we have to design and implement
surveillance system by use of smart sensors like ultrasonic
sensors and pyroelectric infrared sensors (PIR) to detect an
intruder in a home, ATM, Industries, Bank Locker room or a
storehouse. The PIR sensors are placed on the ceiling, and the
ultrasonic sensor module consists of a transmitter and a receiver
which are placed vertically on the wall. We are going to use the
camera to capture images of the people those are coming under
the surveillance area. And we are sending these images to
authorized and related personnel via e-mail to avoid the storage
cost. This system will also help to reduce the power consumption.
Design and implement a smart system to detect intruders and firing using IoT IJECEIAES
The security system is essential for occupants' convenience and protection from intruders and fire. Theft and fire are the most important requirement for the security system. The advancement of wireless sensor networks using IoTs increased the features in a security system and play an important role in daily life. In this paper, the proposed system is divided into two units. The first one about security which use to take snapshots by a camera whenever there is fire or intruders in the security zone and mail it to the owner every three seconds by using Arduino configured with MATLAB program. MATLAB program plays the main role to coordinate between sensors and to turn on/off the cameras. The second unit is about controlling the appliances and also the main door by using AVR microcontroller configured by CVAVR software that connected with Bluetooth sensor and controlled by a smartphone by using the implementation software built-up in the smartphone. To arrival of the control unit, the user should send code from the software implementation to the framework that use to turn on/off the devices or open/close the door. This proposed system is designed and implemented in details in this paper.
Notice Board is important thing in any college or institution and sticking various notices every day is a hectic
task. Also to show all the notices on a small piece of paper is difficult. In this paper, we are presenting an idea of
digital noticeboard which will be easy to operate and also support digitalization of india.
Digital notice board will be iteractive. For making display interactive we will use raspberry pi. Only authorized
users like office staff and teaching staff can put the notices or can modify the old notices. Also we are going to
use mic for speech to text conversion which will help to take input from user(student). WIFI module will use for
data transmission which will be connected to raspberry pi. Here, we will use wireless system.
DESIGN AND IMPLEMENTATION OF A RASPBERRYPI BASED HOME SECURITY AND FIRE SAFET...ijcsit
Fire alarms and building security systems are currently separate systems and are liable to monthly fees. Video recording for closed-circuit television (CCTV) is done locally subsequently requiring high storage space. Whenever there is a break-in, the footage records can be stolen consequently losing data. To address high data storage space, monthly premium subscriptions, cost of separate systems and data loss issues of the aforementioned systems, we design and implement a Raspberry-pi based fire and intrusion detection systems in this work. The system sends an SMS in the case of an intrusion or fire detection, and then records and uploads the surveillance videos. The system used a GSM modem for sending SMSs, a video, a PIR sensor to detect motion and a smoke or heat sensor to detect fire. The system is a low cost combined home security and fire detection Raspberry-pi system intended for home and small offices use.
The main objective of this project is to develop wireless air mouse using accelerometer sensor. This implementation is done by using a sensor which
detects hand gestures. The sensor is placed on the user side, attached to the hand to sense the movement and gives the output to a PIC microcontroller
to process it. Needed modifications are done by the PIC microcontroller. These values are transmitted through a RF module to the PC. At the receiving
end a mouse control program which contains functions to control the mouse reads these values and performs many operations which is user friendly
because it helps in many ways like changing the slide, pointing purpose and for open a folder without using mouse pad.
Rotary RFID Parking Management Solution Controlled By MicrocontrollerIJSRD
This paper led emphasis over the automatic parking system. The reason behind this research work is to eradicate the traffic problem arise during the rush hours in day time. Implementation of intelligent parking also helpful in security purpose this research paper is based on RFID based technology along with IR communication. The main governing body is microcontroller. RFID means radio frequency identification, this technology has been used for since last two decades, reason behind this technology is quite straight as it is capable of providing new services and convenience in retail environment. This technology is very reliable as well as very user friendly. This also ease the security purpose, this also reduced time consumption of user. This research involved following components (a) IR based communication, (b) RFID Module, (c) Microcontroller ATmega328.
The most of the technical challenges for the society to detect and find a solution for visually impaired, with increased security and service motto towards the society helped to bring a solution which would help the visually impaired in the industries and other companies. Here we had come out with a prototype as a way of finding a solution to the visually impaired. The navigation assistant technology using RFID Tag Grid minimizes the dependency. The reader used in this system is embedded in the mobile and shoes to avoid dependency on travel. The RFID reader matches with the information specified to that ID and a voice signal is generated. Wireless RF links is placed in the Bluetooth device/ headphone for voice guidance. The proximity sensing unit is an auxiliary unit is added as a solution to address unexpected and non-mapped obstacles in the user’s path. Basically it contains ultrasonic Sensor Unit interfaced with microcontroller which is inter-linked to a vibrator that would be activated when nearing obstacles. This system is technically and economically feasible and may offer a maximum benefit to the disabled.
Ijaems apr-2016-17 Raspberry PI Based Artificial Vision Assisting System for ...INFOGAIN PUBLICATION
The main aim of this paper is to implement a system that will help blind person. This system is used by a RASPBERRY PI circuit to provide for the identification of the objects, the first level localization. It also incorporates additional components to provide more refined location and orientation information. The input process is to capture every object around 10m and it is convert into the output processing in voice command which is adopted in Bluetooth headset which is used by blind people using RASPBERRY PI component.
IoT Assisted Fingerprint Based Door Security System using Raspberry PI 4ijtsrd
The ongoing progress in the field of Internet of Things IoT permits to embed security system as a part of it. In order to deal with security, authentication of legit users and in turn warning of unauthorized person plays an essential task. This report proposes to design an intelligent entrance control system based on biometric train in terms of fingerprint which also incorporates IoT functionality for indication of illegitimate users. The ongoing progress in the field of Internet of Things IoT permits to embed security system as a part of it. In order to deal with security, authentication of legit users and in turn warning of unauthorized person plays an essential task. This report proposes to design an intelligent entrance control system based on biometric train in terms of fingerprint which also incorporates IoT functionality for indication of illegitimate users. Prof. S. D. Lavange | Mr Girish Goalit | Mr. Sachin Kshirsagar | Mr Prasad Barhate "IoT Assisted Fingerprint Based Door Security System using Raspberry PI 4" 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/ijtsrd30271.pdf Paper Url :https://www.ijtsrd.com/engineering/electrical-engineering/30271/iot-assisted-fingerprint-based-door-security-system-using-raspberry-pi-4/prof-s-d-lavange
Flooding is considered one of the most devastating natural disasters in the world. In countries like India with
climatic conditions occurrence of heavy rain fall and subsequent discharge of water leads to Flood. Flooding
creates major damages to life , their habitats and the economy By installing of flood alerting systems near
major waterways vital information can be provide so that lives and property can be protected. Normal Weather
monitoring and alerting systems are not quick and accurate enough to predict floods in time to prevent personal or
environmental damages. The government has to spend tons of money in flood mitigation plans to help the victims
and also to reduce the number in the long run damages that can occur after flooding. Since Most of the flood alerting
systems involves high cost they are deployed on select locations based on priority.In this project we make use of a
cost effective system using raspberry pi board and sensors, to measure flood flow rate and rise of water level in
revvers and water bodies and alert government authorities and people instantly by transmitting information using
IOT. In the present work we have used thingspeak-IOT platform . The data can be accessed from android smart
phones using thingsView mobile application at any time from anywhere in the world.
In this paper we have to design and implement
surveillance system by use of smart sensors like ultrasonic
sensors and pyroelectric infrared sensors (PIR) to detect an
intruder in a home, ATM, Industries, Bank Locker room or a
storehouse. The PIR sensors are placed on the ceiling, and the
ultrasonic sensor module consists of a transmitter and a receiver
which are placed vertically on the wall. We are going to use the
camera to capture images of the people those are coming under
the surveillance area. And we are sending these images to
authorized and related personnel via e-mail to avoid the storage
cost. This system will also help to reduce the power consumption.
Design and implement a smart system to detect intruders and firing using IoT IJECEIAES
The security system is essential for occupants' convenience and protection from intruders and fire. Theft and fire are the most important requirement for the security system. The advancement of wireless sensor networks using IoTs increased the features in a security system and play an important role in daily life. In this paper, the proposed system is divided into two units. The first one about security which use to take snapshots by a camera whenever there is fire or intruders in the security zone and mail it to the owner every three seconds by using Arduino configured with MATLAB program. MATLAB program plays the main role to coordinate between sensors and to turn on/off the cameras. The second unit is about controlling the appliances and also the main door by using AVR microcontroller configured by CVAVR software that connected with Bluetooth sensor and controlled by a smartphone by using the implementation software built-up in the smartphone. To arrival of the control unit, the user should send code from the software implementation to the framework that use to turn on/off the devices or open/close the door. This proposed system is designed and implemented in details in this paper.
Notice Board is important thing in any college or institution and sticking various notices every day is a hectic
task. Also to show all the notices on a small piece of paper is difficult. In this paper, we are presenting an idea of
digital noticeboard which will be easy to operate and also support digitalization of india.
Digital notice board will be iteractive. For making display interactive we will use raspberry pi. Only authorized
users like office staff and teaching staff can put the notices or can modify the old notices. Also we are going to
use mic for speech to text conversion which will help to take input from user(student). WIFI module will use for
data transmission which will be connected to raspberry pi. Here, we will use wireless system.
DESIGN AND IMPLEMENTATION OF A RASPBERRYPI BASED HOME SECURITY AND FIRE SAFET...ijcsit
Fire alarms and building security systems are currently separate systems and are liable to monthly fees. Video recording for closed-circuit television (CCTV) is done locally subsequently requiring high storage space. Whenever there is a break-in, the footage records can be stolen consequently losing data. To address high data storage space, monthly premium subscriptions, cost of separate systems and data loss issues of the aforementioned systems, we design and implement a Raspberry-pi based fire and intrusion detection systems in this work. The system sends an SMS in the case of an intrusion or fire detection, and then records and uploads the surveillance videos. The system used a GSM modem for sending SMSs, a video, a PIR sensor to detect motion and a smoke or heat sensor to detect fire. The system is a low cost combined home security and fire detection Raspberry-pi system intended for home and small offices use.
The main objective of this project is to develop wireless air mouse using accelerometer sensor. This implementation is done by using a sensor which
detects hand gestures. The sensor is placed on the user side, attached to the hand to sense the movement and gives the output to a PIC microcontroller
to process it. Needed modifications are done by the PIC microcontroller. These values are transmitted through a RF module to the PC. At the receiving
end a mouse control program which contains functions to control the mouse reads these values and performs many operations which is user friendly
because it helps in many ways like changing the slide, pointing purpose and for open a folder without using mouse pad.
Rotary RFID Parking Management Solution Controlled By MicrocontrollerIJSRD
This paper led emphasis over the automatic parking system. The reason behind this research work is to eradicate the traffic problem arise during the rush hours in day time. Implementation of intelligent parking also helpful in security purpose this research paper is based on RFID based technology along with IR communication. The main governing body is microcontroller. RFID means radio frequency identification, this technology has been used for since last two decades, reason behind this technology is quite straight as it is capable of providing new services and convenience in retail environment. This technology is very reliable as well as very user friendly. This also ease the security purpose, this also reduced time consumption of user. This research involved following components (a) IR based communication, (b) RFID Module, (c) Microcontroller ATmega328.
The most of the technical challenges for the society to detect and find a solution for visually impaired, with increased security and service motto towards the society helped to bring a solution which would help the visually impaired in the industries and other companies. Here we had come out with a prototype as a way of finding a solution to the visually impaired. The navigation assistant technology using RFID Tag Grid minimizes the dependency. The reader used in this system is embedded in the mobile and shoes to avoid dependency on travel. The RFID reader matches with the information specified to that ID and a voice signal is generated. Wireless RF links is placed in the Bluetooth device/ headphone for voice guidance. The proximity sensing unit is an auxiliary unit is added as a solution to address unexpected and non-mapped obstacles in the user’s path. Basically it contains ultrasonic Sensor Unit interfaced with microcontroller which is inter-linked to a vibrator that would be activated when nearing obstacles. This system is technically and economically feasible and may offer a maximum benefit to the disabled.
Ijaems apr-2016-17 Raspberry PI Based Artificial Vision Assisting System for ...INFOGAIN PUBLICATION
The main aim of this paper is to implement a system that will help blind person. This system is used by a RASPBERRY PI circuit to provide for the identification of the objects, the first level localization. It also incorporates additional components to provide more refined location and orientation information. The input process is to capture every object around 10m and it is convert into the output processing in voice command which is adopted in Bluetooth headset which is used by blind people using RASPBERRY PI component.
Implementation of embedded arm9 platform using qt and open cv for human upper...Krunal Patel
: In this Paper, A novel architecture for automotive vision using an embedded device will be
implemented on ARM9 Board with highly computing capabilities and low processing power. Currently,
achieving real-time image processing routines such as convolution, thresholding, edge detection and some of the
complex media applications is a challenging task in embedded Device, because of limited memory. An open
software framework, Linux OS is used in embedded devices to provide a good starting point for developing the
multitasking kernel, integrated with communication protocols, data management and graphical user interface for
reducing the total development time. To resolve the problems faced by the image processing applications in
embedded Device a new application environment was developed. This environment provides the resources
available in the operating system which runs on the hardware with complex image processing libraries. This
paper presents the capture of an image from the USB camera, applied to image processing algorithms to Detect
Human Upper Body. The application (GUI) Graphical User Interface was designed using Qt and ARM Linux
gcc Integrated Development Environment (IDE) for implementing image processing algorithm using Open
Source Computer Vision Library (OpenCV). This developed software integrated in mobiles by the cross
compilation of Qt and the OpenCV software for Linux Operating system. The result utilized by Viola and Jones
Algorithm with Haar Features of the image using OpenCV.
License Plate Recognition System using Python and OpenCVVishal Polley
License plate recognition (LPR) is a type of technology, mainly software, that enables computer systems to read automatically the registration number (license number) of vehicles from digital pictures.
Photo booths provide your event with an experience that is
unlike taking pictures with a smartphone or with a
photographer. They will provide your event with more than
just photos, a photo booth will provide your event with an
experience.
In this era of Automation and also due to the approach of industrial revolution 4.0 there is an advancement in all of the fields and mostly in the electronics and sensors application. And also there is a demand of the industrial surveillance and as
well as safety and most of the Industries are using conventional based surveillance system for recording of the footage, and it is not very cost effective so in this research work, it describes the
surveillance based on raspberry pi zero w that is capable of sending the live footage directly to the webserver so that it can be viewed directly or it can be stored in a specified location for further usage. This research generally comprises of raspberry
used as a brain accompanied by a camera module that is used for monitoring the environment. This can be used in various industrial or non-industrial as well as domestic applications.
In this Project, a multi-input DC-DC converter is proposed and studied for hybrid electric vehicles (HEVs). Compared to conventional works, the output gain is enhanced, photovoltaic (PV) panel and energy storage system (ESS) are the input sources for proposed converter. The Super capacitor is considered as the main power supply and roof-top PV is employed to charge the battery, increase the efficiency and reduce fuel economy. The converter has the capability of providing the demanded power by load in absence of one or two resources. Moreover, power management strategy is described and applied in control method. A prototype of the converter is also implemented and tested to verify the analysis.
A mobile application which can save time, effort and money by giving technical video explanation based on the recognized image for learners. The collected video information contains all the detailed explanation of the scanned image done by the user. This application groups Augmented reality , 3d objects , sound , video , AI for image recognition into an easy and compact application for the benefit of the every learner. This web application is built C#, UNITY, VUFORIA with the help of Vuforia server connected by asserts. This mobile application serves as an easier way to access details and documentaries related to recognized object. It includes an automatic AR Camera and image target along with the video player which makes it easier for recognizing the image and to learn. The database is done with Vuforia cloud database. The UI provides an excellent user friendly environment that makes the communication more interactive.
Agricultural research has strengthened the optimized
economical profit, internationally and is very vast and
important field to gain more benefits.
In future agriculture is the only scope for all the people. But
today number of people having land, but they don’t know how
to yield the crops.
So many of people are doing useless agriculture by
cultivating the crop on improper soil. To implement the
application to identify the types of soil,water source of that
land whether that land is based on rain or bore water. And
suggest what of crop is suitable for that soil. So through this
application provide application for the people to know about
the agriculture. There is no any application to know about the
cultivation. However, it can be enhanced by the use of different
technological resources, tool, and procedures. Predict the type
of crop which one is suitable for that particular soil, weather
condition, temperature and so on. So for, using machine
learning with the set of data set are identified the crop for the
corresponding soil.
In this engaged life, people tend to forget
scheduling their meetings and events that are very
important in their day to day life. They wish to have
someone who keeps on prompting them to lineup the work
and to make sure that they accomplished the scheduled
task on time. The solution to this problem is proposed
through an Android Application named “Nudge” using
artificial intelligence. This application is built using
Android Studio IDE 3.3 released by the Google. The
application is used to trigger alarms based on locations,
where the user can set a reminder to a location and select a
range within which the alarm should be triggered. Once
the user move into that range, the alarm goes on. This
application is also used to set reminders based on the mails
the user receives. Suppose, if a user receives a mail
containing any schedule for a meeting or an event, this
application will automatically set a reminder to that
particular event in the OS calendar. This application also
includes facility to directly set a reminder to the OS
calendar.
Keywords-Location, reminder, alarm, calendar, gmail, date
In the EXISTING SYSTEM, Ballot
based Voting is present, but still there is no system to
avoid Proxy Casting and Recasting is implemented.
We do not have an option to see our casted Vote also.
There is no security in this current application. In the
PROPOSED SYSTEM, a novel electronic voting
system based on Blockchain that addresses some of
the limitations in existing systems and evaluates some
of the popular blockchain frameworks for the purpose
of constructing a blockchain-based e-voting system.
In the MODIFICATION part of the project, we
integrate Aadhaar card linked mobile number for
OTP generation, only then the voter can cast the vote,
this system prevents casting and re-casting of proxies.
The Android application is widely used in all
sectors. In our application it helps to track the
location of the bus. By waiting near the bus stop
for a long time this application helps to reduce the
waiting time of the students using Google map. The
arrival time of a bus is calculated based upon the
pickup point and the starting time of a bus in the
shuttle routes. Providing the accurate bus timing
will be helpful for all the students, staff to catch the
bus at the right time. In a college bus driver is
assigned with a mobile phone where we can use to
track the current location of the bus. Notification
will be sending to the students and parents once
the bus is nearby pick up point and drop point by
using Geo-fencing. Quick Response code is used to
track the attendance of the student whether they
boarded the bus at the pickup point. Common
alert message will be sent to students, staffs and
faculty about the holidays or any crucial
information.
Geo-fencing, Google map, GPS
(Global Positioning System)
The objective of this paper is to use the
Android mobile application to purchase grocery
items. This would help the consumers to purchase the
grocery items through their mobile application and
get the grocery items delivered to their home, office
or anywhere else directly. The users can also select
the nearby provision store or any other supermarket
which is present in their location and then select their
items. The application is thoroughly built only in the
Android platform and is supported only for Android
mobiles. Thus, the application guarantee about userfriendly
in use, provides help desk, security services
etc. This would save the time of the purchaser instead
of going to the grocery store to snap up the items and
standing on a big queue for debiting the products
andwould also help the shop proprietor to develop
their business which will not depreciate their business
revenue for adapting this system by the consumers. It
also helps retailers to create brand awareness so that
the consumers feel self-assured to themselves about
the products procure through online. This would lead
the consumers to increase their familiarity in
purchasing grocery products through an online
application using the internet. The shopkeepers
should also ensure timely delivery of ordered grocery
products without any imperfection in the products
and also ensuring the damage to the products at the
time of deliverance.
These days heart diseases are
considered as the major health issue. It
includes heart attack and cardiac arrest.
Heart attack is the global leading cause
of death for both the genders and
occurrence is not always know.
Sometimes heart attack is often
compared with other type of pain and
not often dealt with it. Hence, this
project is to implement the heart rate
monitoring using IOT. The patients are
expected to carry or wear a hardware
sensor. The sensor with note the heart
rate and transmits it through internet.
The patient may be expected to set the
high and low heart rate individually. On
reaching the high rate or going below
the expected heart rate, an emergency
alert notification is sent to the patient’s,
guardian, doctor and
ambulance(optional) android devices.
Wildlife entering in to populated areas has
recently become very Popular. The space for wild
animals is decreasing as humans are encroaching
forests. It creates great loss to property and life
when wild animals enter in to cities. We use latest
advances in technology such as Internet of Things
(IoT) to create an alert system of possible wildlife
leaving the forest and also the message will send to
the users Mobile to alert them. We use low cost
motion detectors and Passive Infrared sensors to
achieve this. We relay information of such motion
to a control centre to take further actions. We also
include making loud noise through speakers in
which the animals cannot enter in to land. The
basic idea of IoT is to connect different sensors
and establish communication and also provide
services. In this article, we make use of several IoT
devices at the periphery of natural reserve to
create an alert system. This system can also be
used to find out smugglers and other people
illegally entering in to the forest.
—In a laboratory experiment was conducted on
the utilization of Ethanol-Diesel emulsion in a single
cylinder direct injection diesel engine, a single cylinder,
water cooled, four stroke diesel engine was used. The
principal goals of the present work are to obtain emission
data and combustion characteristics for this type of Diesel
Engine, and to identify the ratio of Emulsion which is
effective in reducing emissions. Experiments were
conducted with emulsions viz (90%diesel + 10%ethanol),
(80% diesel + 20% ethanol), (70% diesel + 30%ethanol) as
fuel. While AVL smoke meter was employed to measure
the smoke density in HSU, the exhaust gas analyzer was
used to measure the NOx emission. High volume sampler
was employed to measure the particulate matter emitted at
the exhaust. The combustion characteristics were studied
using AVL combustion analyser. From the experimental
investigation it was found that the smoke, particulate
matter and Oxides of Nitrogen emissions were reduced
marginally. From the pressure curve and cumulative heat
release curve, it was observed that the combustion started
earlier and the rate of pressure rise increased marginally.
The present research work demonstrates the
preparation of Copper Oxide Nanoparticles (CuO NPs) and
investigates the thermo mechanical properties of the CuO NPs
embedded in the polymer composites experimentally. In this study,
CuO NPs were produced by aqueous precipitation method and
morphology of the NPs was studied using Field Emission
Transmission Electron Microscope (FESEM). Epoxy resin and glass microsphere were considered the base material for the preparation of
the Nano based polymer composites. In order to fabricate the Nano
based polymer composites, CuO NPs with 1.0wtpercentage were
embedded in the base material by means of compression moulding
press. Nano composites proved higher thermal conductivity
enhancement rather than the base material. While comparing to the
base material, the maximum four-point bending strength of 415 MPa
was obtained from the Nano based polymer composites. The test
results obtained from the TG study revealed that an addition of CuO
NPs had acted as the thermal retardant and CuO NPs had delayed
thermal degradation of the Nano based polymer composites. Based
on the test results, it can be suggested that the newly fabricated
nanocomposites have achieved the improved thermal and mechanical
properties.
The Surface roughness prediction method using
artificial neural network (ANN) and Adaptive Neuro Fuzzy
Inference System (ANFIS) are developed to investigate the
effects of cutting conditions during turning of EN8 material.
The ANN model of surface roughness parameters (Ra) is
developed with the cutting conditions such as cutting speed,
feed rate and depth of cut as the affecting process
parameters.
The experiments are planned and totally 27 settings
with three levels defined for each of the factors in order to
develop the knowledge based system. The ANN training
method is used for back-propagation training algorithm
(BPTA) and also for training the Adaptive neuro fuzzy
inference system (ANFIS). We have compared the
Artificial Neural Network and Adaptive neuro fuzzy
inference systems.
The main objective of this paper is to
determine casting defects generally happening in an
aluminium die casting process and efforts have been
taken to identify the tools which eliminate the casting
defects. In global prospective this study briefs the
application of the various tools that are used in the
industries for improvement of quality in foundry
industry. In our national prospective these tools are not
so popular, hence this study will help us to utilise the
available technology through which the productivity is
enhanced with safe and economical means. The QC
tools were used to analyse the casting condition of the
given pattern with three dimensional simulations for the
result preparation. This work has been carried out to
improve the quality of the pattern which is made with
gravity die casting process and this was achieved
through continuous quality control operation with QC
tools, then it was taken to test in some simulation
software. The latest trend available in casting and
foundry shops are the scientific approach in
optimization of all kind of fields including optimization
of defects in castings. These trends are incorporated in
the analysis of aluminium die casting.
Friction Stir Welding, a type of welding which was
discovered in the year of 1991 with a few countable methods
and processes. But today it is one of the necessary and
important type of welding techniques. To develop it, several
researchers showed their interests in this technique. Today,
it acts as the heart of welding of automobiles. Thousands of
inventions has been made in field of Friction Stir Welding
and also successfully being implemented. If a researcher
tries to make some research in this field, he has to go
through thousands of journals where hours of time is being
consumed. To solve that problem several Re-view journals
are being published and also successfully solved this issue
of time consumption. In this paper, similarly a re-view of
several important and different types of papers are discussed
with their results, outcomes, the parameters being performed
for analysis.
This paper also discusses about various methods and various
metals as tools and job materials. It will be much easier and
lenient to understand from this paper to research. The
authors of the papers also clearly explained about the usages
and applications of their methods and provided several
statistical data for clear observation of their methods
Pure and Al substituted Langanite
(La3Ga5.5Nb0.5O14) ceramics have been synthesized
by solid state sintering method and studied their
structural, dielectric and electrical properties. The
crystalline nature was confirmed by powder XRD
studies. The ac conductivity and dielectric
properties of La3Ga5.5-xAlxNb0.5O14 samples were
examined by using complex impedance technique.
Surface morphology and elemental composition
were studied by energy-dispersive x-ray
spectroscopy and scanning electron microscopy.
The frequency dependence of dielectric constant,
dielectric loss and AC conductivity were studied in
the frequency range of 100 KHz to 3 MHz at
different temperatures. The activation energy was
calculated using Arrhenius plot. The lattice
parameter, grain size, dielectric constant and AC
conductivity of pure LGN ceramics were deeply
affected by Al substitution in pure LGN.
In this paper, the non-invasive
methodology for removing Fetal Electrocardiogram
(FECG) is gained by subtracting the balanced
variation of maternal electrocardiogram (MECG)
movement from the abdominal electrocardiogram
(AECG) banner. The banner assessed from the
mother's guts (AECG) is regularly overpowered by
maternal heartbeat. The maternal portion of the
AECG is the nonlinearly changed variation of
MECG. This paper uses an Adaptive Neuro-Fuzzy
Interference System (ANFIS) structure. It is used
for finding the non-direct change and the ensuing
banner are set up with people based request
figurings. This strategy involves some specific
issues which are a direct result of the low force of
the fetal ECG which is sullied by various
wellsprings of checks. It joins maternal ECG,
electromyogram (EMG) signals, power line
impedances and sporadic electronic upheavals.
Along these lines, we are proposing an improved
multimode PSO estimation for overcoming this
issue. In addition, methods like wavelet change,
flexible filtering, thresholding are moreover used.
We have furthermore empowered the thoracic and
stomach signals using MATLAB programming. It
uses only two signs recorded at the thoracic and
stomach regions of mother's skin. Similarly, our
test shows that the proposed count can expel FECG
banner immediately in pregnancy period and that is
one of the basic focal points of figuring.
Almost since the first days of flight, man has been
concerned with the safe escape from an aircraft, which
was no longer flyable. Early escape equipment
consisted of a recovery parachute only. As aircraft
performance rapidly increased during World War II, it
became necessary to assist the crew members in
gaining clear safe separation from the aircraft. This
was accomplished with an ejector seat, which was
powered by a propellant driven catapult - the first use
of a propulsive element in aircrew escape Since then,
this collection of componentry has evolved through
several generations into today's relatively complex
systems, which are highly dependent upon propulsive
elements. Ejection seats are one of the most complex
pieces of equipment on any aircraft, and some consist
of thousands of parts. The purpose of the ejection seat
is simple: To lift the pilot straight out of the aircraft to
a safe distance, then deploy a parachute to allow the
pilot to land safely on the ground
Ferrites are the unique magnetic materials which that exhibit electrical as well as magnetic properties and
hence are commercially and scientifically important magnetic material . A brief introduction to various
types of ferrites materials is explained herein. The chemical composition of ferrites including spinel type,
garnet type and hexagaonal type is given in this review. The most interesting applications in electronic
devices High frequency devices and in biotechnology are discussed. Since its discovery in 1950,
hexaferrite has an increasing degree of interest and is still growing exponentially. Hexaferrites are the
extremely important material both commercially and technologically and it accounts for the bulk of the
total magnetic materials manufactured globally. Hence the classification of Hexaferrite is discussed in
detail in this review.
Online Bus pass generation is useful for user who are facing problems with the current manual work of bus pass
registration and renewal. The user need to register by submitting their details through online .The administrator will
verify the user details and if they are satisfied they will approve bus pass. The pass will be generated and send to
userid. The user can login with their user idno and password and then renewal can be performed
–This paper concentrates on aiding anesthetist for administering anesthesia to the patient in a permissible rate.
Administering anesthesia at a slight excess range may cause fatal effect to patient, so it is with the anesthetist to keep it in
safe limit. In past few years the death toll due to improper anesthesia administration has increased, so it is high time to
provide support to medical field in this aspect.
More from IJTRET-International Journal of Trendy Research in Engineering and Technology (20)
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
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IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
S.Adhav1
, R.Manthira moorthi1
,
G.Prethija2
1
Final year Students,2
Assistant Professor, Department of Information Technology,
Velammal Engineering College, Chennai-600066, India
ABSTRACT
The current paper is mainly about maintaining a secure
environment and also free from thefts that are happening
in our home. The present paper discusses about the
detection of intruders with the help of the various
devices and software.. OpenCV(open source computer
vision) is the major software that is being used in our
present work. For detecting faces we are using various
algorithms like Haar cascade, linear SVM, deep neural
network etc. The main method that we have proposed in
our work is, if any person comes in front of the pi
camera, first it will look for potential matches that we
have already stored in our system If the module finds a
match then it continues to record until any intruder
comes. If the face is not recognized then the unknown
person’s face will be captured and a snap shot will be
sent to the user’s email. The device is developed using
Raspberry Pi b+ with 1.4 GHz quad core processor,
raspberry pi camera module and a Wireless dongle to
communicate with user’s email.
Key Words: OpenCV, Rassberry pi, python
I INTRODUCTION
Open source computer vision(OpenCV)is a software
that is used to process various images and convert it to
the required format that the user needs. OpenCV
includes a statistical machine learning library that
contains some of the algorithms like SVM(support
vector machine),DNN(deep neural network) etc. This
paper presents a robust approach for Face detection and
also providing security to the people who will be staying
alone in the house. Device will be tested on a raspberry
pi platform.The Raspberry Pi is a basic embedded
system and also a low cost single board computer used
to reduce the flaws in systems. Python is the major
scripting language that has been implemented in our
device. Raspberry pi consist of Camera slot Interface
(CSI) to interface the raspberry pi camera.The Pi is
initially connected to the internet through wireless
dongle. The OpenCV software is installed using the
following command lines. Following steps are to be
followed:
1.first step is to install cmake library, which helps us
build the OpenCV build process.
2. Second step is to install the OpenCV files from github
and also extracting it.
3. Third step is to run the make command, which will
install all the required dependencies.
4.Final step is to test whether OpenCV is installed in our
Pi by running some commands.
The Device is set up as shown in Figure. 1a. The Picam
is focused manually towards the persons face. It looks
for a potential match using the counting system. If the
persons face is found then his or her name will pop up.
If the persons face is not detected then that persons face
will be captured and a copy of it will be sent to the users
email. We have a set a timer for about ten second.
Between this time interval if any intruder comes then his
face will be stored in the system for further investigation
and also a photo of the intruder will be sent to the email
of the user.
Fig. 1aBlock diagram of Image processing based Intrusion detection.
II BASIC CONCEPT OF FACE
DETECTION
In general, any digital image processing algorithm
consists of three stages: input, processor and output. In
the input stage image is captured by a camera. It sent to
a particular system to focus on a pixel of image that’s
gives, its output as a processed image. This processed
image is then used to translate after extracting the text
from the image through OCR.
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Fig. 1b. Procedural flow of image processing based translation
III SYSTEM HARDWARE DESIGN
The Raspberry Pi board is the central module of the
whole embedded image capturing and processing
system as given in figure. 2. Its main parts include: main
processing chip unit, memory, power supply HDMI Out
i.e. VGA display, Ethernet port, and USB ports. The
webcam is connected to Raspberry pi through one of its
USB ports and pushbutton switch S1 to its GPIO pin 16
(or GPIO23) through resistor R2 (1-kilo-ohm)
Fig. 2: Raspberry Pi board (Model B+).
Fig. 3: System Block Diagram
A. Raspberry pi board
The Raspberry Pi is a basic embedded system having a
credit card-sized single board computers developed in
the UK by the Raspberry Pi Foundation [2]. The
Raspberry Pi is based on the Broadcom BCM2835
system on a chip (SOC) which includes an
ARM1176JZF-S Core (ARM V6K)700 MHz CPU
processor, Broadcom Video Core IV GPU having 17
pins, 3.5W of power, and 512 MB of RAM memory.
This main processing chip connects a camera and
display. The Raspberry Pi design does not include a
built in hard disk or solid state drive, instead used an SD
card for booting and long term storage. This board is
intended to run Linux Debian based operating systems.
Python is used as main programming language for
raspberry pi .This Raspberry Pi module has a Samsung
class 4 micro SD card preloaded with the Raspberry Pi
NOOBS (New out of Box Software) package, and a
printed Micro SD card adaptor.
B. Camera interface
The camera module used in this paper is raspberry pi
camera module as shown in the Figure. 3. The camera
module plugs to the CSI connector on the Raspberry Pi.
It's able to deliver clear 5MP resolution image, or 1080p
HD video recording at 30fps. The camera module
attaches to Raspberry Pi by a 15 pin Ribbon Cable, to
the dedicated 15 pin MIPI Camera Serial Interface
(CSI), which was designed especially for interfacing to
cameras. The CSI bus is capable of extremely high data
rates, and it exclusively carries pixel data to the
BCM2835 processor.
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Fig. 4: Raspberry Pi camera board
C. Pushbutton switch set up
Fig.5 Circuit connection to Raspberry pi board.
In Figure.5, When the GPIO pin is set as input, it is
floating and has no defined voltage level, to detect
whether the input is high or low, simple resistive circuit
is needed so that it is always connected and reads either
high or low voltage. One of the terminals of switch S1
is connected to ground (GPIO pin 6) through pull-down
resistor R1 of 10 kilo ohm. The other terminal is
connected to 3.3V of GPIO pin 1.When S1 is pressed, a
high voltage is read on GPIO pin 16. When S1 is
released, GPIO pin 16 is connected to ground through
R1, hence a low voltage is read by GPIO pin 16.When
pushbutton S1 is pressed, the webcam takes a picture of
the text (after a delay of 10 seconds).
IV METHODOLOGY
The device consists of two main modules, the image
processing module and translator module (Figure.6).
Image processing module captures image using camera,
converting the image into text. Translate module
translates the text into any desired language and
processes it with specific physical characteristics so that
the sound can be understood. Figure 6 shows the block
diagram of the device, 1st block is image processing
module, where OCR converts .jpg to .txt form. 2nd is
voice processing module which translates and gives .txt
to speech output.
Fig.6 Image processing and translator modules
Figure 6 shows the block diagram of the device, 1st
block is image processing module, where OCR converts
.jpg to .txt form. 2nd is translate module which
translates the text and gives audio output.
IV.( i ) IMAGE PROCESSING MODULE USING
OPTICAL CHARACTER RECOGNITION
OCR is important element in this module. OCR or
Optical Character Recognition is a technology that
automatically recognize the character through the
optical mechanism, this technology imitate the ability of
the human senses of sight, where the camera becomes a
replacement for eye and image processing is done in the
computer engine as a substitute for the human brain [3].
Tesseract OCR is a type of OCR engine with matrix
matching [4]. The selection of Tesseract engine is
because of its flexibility and extensibility of machines
and the fact that many communities are active
researchers to develop this OCR engine and also
because Tesseract OCR can support 149 languages. In
this project we are identifying English alphabets. Before
feeding the image to the OCR, it is converted to a binary
image to increase the recognition accuracy. Image
binary conversion is done by using Image magick
software, which is another open source tool for image
manipulation. The output of OCR is the text, which is
stored in a file (speech.txt) .Machines still have defects
such as distortion at the edges and dim light effect, so it
is still difficult for most OCR engines to get high
accuracy text [5]. It needs some supporting and
condition in order to get the minimal defect.
a.Tesseract OCR Implementation
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The input image is captured by the 5 megapixel fixed
focus raspberry pi camera which supports 720p60,
1080p30 video modes. Based on the specifications of
the Tesseract OCR engine, the minimum character size
that can be read is 20 pixels uppercase letters. Tesseract
OCR accuracy will decrease with the font size less than
14pt.
b.Software Design
Software processes the input image and convert it into
text format. Then the text is translated into any desired
language. The software implementation is showed in
Figure. 7.The image is taken by the user via GPIO pin
(23) that is connected to the button, using interrupt
function. Furthermore, the picture can taken by using
raspistill program with sharpness mode to sharpen the
image. The resulting image has a .jpg format with a
resolution of 720 x 340 pixels.
c. The Translate Module
In this module text is converted to text of desired
language. The output of OCR is the text, which is stored
in a file (speech.txt). Here, Translate Shell software is
used to convert the text to translated speech output.
Translate Shell is an open source translate (TTS)
system, which is available in many languages. In this
project, English TTS system is used for reading the text.
V. DESIGN IMPLEMENTATION
The testing was done using Raspberry Pi platform with
the following specifications:
• SBU Raspberry Pi 2 900 MHz Quad Code ARM
Cortex-A7
• 5mp Raspberry pi b+ camera module
• Bootable SanDisk Ultra 8GB micro SD Card
Steps Followed:
1. Import and Initialization:
Import sub process, time and RPi. GPIO and initialize
GPIO pin 23 as input.
2. Main Program:
The main program [6] provides functions to retrieve and
process the input image, translate it and convert it into
an audio signal. Picture will be taken as soon as push
button switch is pressed then this Captured image is
threshold before feeding it to OCR to increase the
accuracy. The text from the captured image is extracted.
The extracted text is translated to desired language and
given out as audio signal. Overall flow of program is
done as in flowchart fig 7.
Fig.7 Flow chart of Image processing based translator device program
Screenshot Program execution for english to spanish
translation is shown in figure 8
Fig.8 : Program execution-Screenshot
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VI RESULT
From the present work, the following can be
inferred:
• Text is extracted from the image and
translated to any desired language.
• It recognizes both capital as well as small
letters.
• It recognizes numbers as well.
• Range of reading distance was 38-42cm.
• Character font size should be minimum
14pt.
• Maximum tilt of the text line is 4-5 degree
from the vertical.
• The audio of the translated text is
outputted.
VII CONCLUSION
Text-to-Speech device can change the text image input
into sound with a performance that is high enough and
a readability tolerance of less than 2%, with the average
time processing less than two minutes for A4 paper size.
This portable device can be used independently by
people. Through this method, international travelers can
hear the text images of sign boards, routes in their own
languages
REFERENCES
1. Archana A, Shinde D. Text pre-processing and text segmentation
for OCR. Int. Journal of Computer Science Engineering and
Technology. 2012, 2, 810–12.
2. Simon Monk ,Raspberry Pi Cookbook, published by O'Reilly, 2014
3.Mithe R, Indalkar S, Divekar N. Optical character recognition.
International Journal of Recent Technology and Engineering. 2013
,2,.72-75
4. Smith R. An overview of the Tesseract OCR engine, USA :Google
Inc; 2007.
5. Shah H, Shah A. Optical character recognition of Gujarati
numerical. Proc. Int. Conference on Signals, Systems and
Automation. 2009; 49–53.
6.Umesh P Image Processing in Python, CSI Communications,
December 2012.
![International Journal of Trendy Research in Engineering and Technology
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Fig. 1b. Procedural flow of image processing based translation
III SYSTEM HARDWARE DESIGN
The Raspberry Pi board is the central module of the
whole embedded image capturing and processing
system as given in figure. 2. Its main parts include: main
processing chip unit, memory, power supply HDMI Out
i.e. VGA display, Ethernet port, and USB ports. The
webcam is connected to Raspberry pi through one of its
USB ports and pushbutton switch S1 to its GPIO pin 16
(or GPIO23) through resistor R2 (1-kilo-ohm)
Fig. 2: Raspberry Pi board (Model B+).
Fig. 3: System Block Diagram
A. Raspberry pi board
The Raspberry Pi is a basic embedded system having a
credit card-sized single board computers developed in
the UK by the Raspberry Pi Foundation [2]. The
Raspberry Pi is based on the Broadcom BCM2835
system on a chip (SOC) which includes an
ARM1176JZF-S Core (ARM V6K)700 MHz CPU
processor, Broadcom Video Core IV GPU having 17
pins, 3.5W of power, and 512 MB of RAM memory.
This main processing chip connects a camera and
display. The Raspberry Pi design does not include a
built in hard disk or solid state drive, instead used an SD
card for booting and long term storage. This board is
intended to run Linux Debian based operating systems.
Python is used as main programming language for
raspberry pi .This Raspberry Pi module has a Samsung
class 4 micro SD card preloaded with the Raspberry Pi
NOOBS (New out of Box Software) package, and a
printed Micro SD card adaptor.
B. Camera interface
The camera module used in this paper is raspberry pi
camera module as shown in the Figure. 3. The camera
module plugs to the CSI connector on the Raspberry Pi.
It's able to deliver clear 5MP resolution image, or 1080p
HD video recording at 30fps. The camera module
attaches to Raspberry Pi by a 15 pin Ribbon Cable, to
the dedicated 15 pin MIPI Camera Serial Interface
(CSI), which was designed especially for interfacing to
cameras. The CSI bus is capable of extremely high data
rates, and it exclusively carries pixel data to the
BCM2835 processor.](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)