This document describes a proposed military spy robot with intelligent destruction capabilities. The robot would use cameras and image processing techniques like histograms of oriented gradients and grey level co-occurrence matrices to identify authorized versus unauthorized trespassers on a military border. If an unauthorized trespasser is detected, the robot would send a signal to an Arduino board via a relay to activate a "bomb destructor" to destroy the trespasser within 100m. The goal is to enhance border security and reduce loss of human army men through automated surveillance and targeted destruction capabilities.
Black Box for Accident Analysis Using MATLAB-Image ProcessingEditor IJCATR
The main purpose of this paper is to develop a prototype device that can be installed in automobile for accident analysis .in this paper I proposed a method to analysis the face of driver that weather he was felling doziness while driving. This is done by taking the image from the raspberry pi device and put it in an image processing method using MATLAB. Also, I used the method to store the data into the cloud as well as device which can be further used for analysis the cause of accident.
Optimized mapping and navigation of remote area through an autonomous roboteSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Uncompressed Video Streaming in Wireless Channel without Interpolation using ...IJASRD Journal
Uncompressed video transmission recently paying attention because low end-to-end latency, good video quality and low convolution. In this method put forward a real-time uncompressed video diffusion system, where Unequal bit Allocation (UBA) approach are adopted to the end-to-end mean square error (MSE). Based on the Full search and logarithm search algorithm using the method. Video is improved largely and it provides that the different-level UBA scheme outperforms the conservative two-level of unequal bit allocation scheme in the stipulations of the average peak-signalto-noise (PSNR) at restrained SNRs, and the proposed adaptive UBA approach can good visual quality and the wireless communication.The pixel motion estimation is used correct the motion vector prediction in the H.264/AVC video coding. The proposed method solves the more complexity of the calculation of the fractional-pixel motion estimated video coding resolution is increased.
Black Box for Accident Analysis Using MATLAB-Image ProcessingEditor IJCATR
The main purpose of this paper is to develop a prototype device that can be installed in automobile for accident analysis .in this paper I proposed a method to analysis the face of driver that weather he was felling doziness while driving. This is done by taking the image from the raspberry pi device and put it in an image processing method using MATLAB. Also, I used the method to store the data into the cloud as well as device which can be further used for analysis the cause of accident.
Optimized mapping and navigation of remote area through an autonomous roboteSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Uncompressed Video Streaming in Wireless Channel without Interpolation using ...IJASRD Journal
Uncompressed video transmission recently paying attention because low end-to-end latency, good video quality and low convolution. In this method put forward a real-time uncompressed video diffusion system, where Unequal bit Allocation (UBA) approach are adopted to the end-to-end mean square error (MSE). Based on the Full search and logarithm search algorithm using the method. Video is improved largely and it provides that the different-level UBA scheme outperforms the conservative two-level of unequal bit allocation scheme in the stipulations of the average peak-signalto-noise (PSNR) at restrained SNRs, and the proposed adaptive UBA approach can good visual quality and the wireless communication.The pixel motion estimation is used correct the motion vector prediction in the H.264/AVC video coding. The proposed method solves the more complexity of the calculation of the fractional-pixel motion estimated video coding resolution is increased.
2D mapping using omni-directional mobile robot equipped with LiDARTELKOMNIKA JOURNAL
A room map in a robot environment is needed because it can facilitate localization, automatic navigation, and also object searching. In addition, when a room is difficult to reach, maps can provide information that is helpful to humans. In this study, an omni-directional mobile robot equipped with a LiDAR sensor has been developed for 2D mapping a room. The YDLiDAR X4 sensor is used as an indoor scanner. Raspberry Pi 3 B single board computer (SBC) is used to access LiDAR data and then send it to a computer wirelessly for processing into a map. This computer and SBC are integrated in robot operating system (ROS). The movement of the robot can use manual control or automatic navigation to explore the room. The Hector SLAM algorithm determines the position of the robot based on scan matching of the LiDAR data. The LiDAR data will be used to determine the obstacles encountered by the robot. These obstacles will be represented in occupancy grid mapping. The experimental results show that the robot is able to follow the wall using PID control. The robot can move automatically to construct maps of the actual room with an error rate of 4.59%.
Travsafe-An Electronic Security Monitoring System Using GPS-GSM and RF Commun...IJLT EMAS
Nowadays Travel baggage safety has become the need
of the hour. Monitoring and tracking are the two key parameter
for any safety mechanism . Loosing the baggage in the absence of
passenger’s attention is increasing day-by-day. This study
considers receiver’s ability to act in the absence of signal from
transmitter using RF communications . A micro-controller is
used to process the signals from receiver. Accordingly an SMS
will be send to the owner using Global system for mobile
communication (GSM). The proposed methodology produced
significantly favourable results.
Traffic Light Detection and Recognition for Self Driving Cars using Deep Lear...ijtsrd
Self driving cars has the potential to revolutionize urban mobility by providing sustainable, safe, and convenient and congestion free transportability. Autonomous driving vehicles have become a trend in the vehicle industry. Many driver assistance systems DAS have been presented to support these automatic cars. This vehicle autonomy as an application of AI has several challenges like infallibly recognizing traffic lights, signs, unclear lane markings, pedestrians, etc. These problems can be overcome by using the technological development in the fields of Deep Learning, Computer Vision due to availability of Graphical Processing Units GPU and cloud platform. By using deep learning, a deep neural network based model is proposed for reliable detection and recognition of traffic lights TL . Aswathy Madhu | Sruthy S ""Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning: Survey"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30030.pdf
Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/30030/traffic-light-detection-and-recognition-for-self-driving-cars-using-deep-learning-survey/aswathy-madhu
Road traffic jam becomes a serious issue for highly crowded metropolitan cities. India is that the
second most populated country within the world and may be a fast growing economy. it's facing terrible road
congestion within the cities. consistent with Times of India about 30 percent of deaths are caused thanks to delayed
ambulance to succeed in at hospital. In proposed system we try to scale back the delay for the ambulance. To
smoothen the ambulance movement, we come up with “Auto Traffic Management System”. We try to supply the
green signals for ambulance by switching the signals. We are getting to use the technologies like RFIDs. Whenever
signal detects the ambulance almost signal, then signal switches to green. As this technique is fully automated, it
recognize the ambulance and control traffic signals. this technique controls traffic signal and saves the time in
emergency period. Also we've automated camera which can help in monitoring the traffic jam . Thus it act as a
life saver project.
Automatic Robot System In Industries Using Rf Module iosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Dynamic Communication of Wireless Sensor Network IJERA Editor
The aim of present this paper is to the describes the design of a wireless sensor network and RFID communication based on ZigBee technology. It is mainly used for dynamic communication with various nodes. For communication and connected coverage here used various algorithms which improves the efficiency of the system. Here temperature sensor are used for sensor nodes for observation and analysis of node communication with real time application. Verifying the dynamic communication between the nodes and overcome the collision problems between master and slaves. To demonstrate the effectiveness of the proposed method in terms of balancing energy consumption and maximization of network lifetime, it compare approach with the shortest path and RANDOM algorithm with nearest neighbor approach. Simulation results demonstrate that the network lifetime achieved by the proposed method could be increased by nearly Twenty five percent more than that obtained by the RANDOM and by nearly Twenty percent more than that obtained by the Local Connect Then Cover (LCTC)
Development of a portable community video surveillance systemIJECEIAES
In 2016, a crime rate has been evidently increasing particularly in Kuala Lumpur areas, including reports on house break-ins, car thefts, motorcycle thefts and robbery. One way of deterring such cases is by installing CCTV monitoring system in premises such as houses or shops, but this usually requires expensive equipment and installation fees. In this paper a cheaper alternative of a portable community video surveillance system running on Raspberry Pi 3 utilizing OpenCV is presented. The system will detect motion based on image subtraction algorithm and immediately inform users when intruders are detected by sending a live video feed to a Telegram group chat, as well as sound the buzzer alarm on the Raspberry Pi. Additionally, any Telegram group members can request images and recorded videos from the system at any time by sending a get request in Telegram which will be handled by Telegram Bot. This system uses the Pi NoIR camera module as the image acquisition device equipped with a 36 LED infrared illuminator for night vision capability. In addition to the Python language, OpenCV, a computer vision simulation from Intel is also used for image processing tasks. The performance analysis of the completed system is also presented computational complexity while offering improved flexibility. The performance time is also presented, where the whole process is run with a noticeable 3 seconds delay in getting the final output.
With the rapid development of smartphone industry,
various positioning-enabled sensors such as GPS receivers,
accelerometers, gyroscopes, digital compasses, cameras, WiFi and Bluetooth have been built in smartphones for
communication, entertainment and location-based services.
Smartphone users can get their locations fixed according to
the function of GPS receiver.
With the rapid development of
smartphone industry, various positioning-enabled
sensors such as GPS receivers, accelerometers,
gyroscopes, digital compasses, cameras, Wi-Fi and
Bluetooth have been built in smartphones for
communication, entertainment and location-based
services. Smartphone users can get their locations
fixed according to the function of GPS receiver.
2D mapping using omni-directional mobile robot equipped with LiDARTELKOMNIKA JOURNAL
A room map in a robot environment is needed because it can facilitate localization, automatic navigation, and also object searching. In addition, when a room is difficult to reach, maps can provide information that is helpful to humans. In this study, an omni-directional mobile robot equipped with a LiDAR sensor has been developed for 2D mapping a room. The YDLiDAR X4 sensor is used as an indoor scanner. Raspberry Pi 3 B single board computer (SBC) is used to access LiDAR data and then send it to a computer wirelessly for processing into a map. This computer and SBC are integrated in robot operating system (ROS). The movement of the robot can use manual control or automatic navigation to explore the room. The Hector SLAM algorithm determines the position of the robot based on scan matching of the LiDAR data. The LiDAR data will be used to determine the obstacles encountered by the robot. These obstacles will be represented in occupancy grid mapping. The experimental results show that the robot is able to follow the wall using PID control. The robot can move automatically to construct maps of the actual room with an error rate of 4.59%.
Travsafe-An Electronic Security Monitoring System Using GPS-GSM and RF Commun...IJLT EMAS
Nowadays Travel baggage safety has become the need
of the hour. Monitoring and tracking are the two key parameter
for any safety mechanism . Loosing the baggage in the absence of
passenger’s attention is increasing day-by-day. This study
considers receiver’s ability to act in the absence of signal from
transmitter using RF communications . A micro-controller is
used to process the signals from receiver. Accordingly an SMS
will be send to the owner using Global system for mobile
communication (GSM). The proposed methodology produced
significantly favourable results.
Traffic Light Detection and Recognition for Self Driving Cars using Deep Lear...ijtsrd
Self driving cars has the potential to revolutionize urban mobility by providing sustainable, safe, and convenient and congestion free transportability. Autonomous driving vehicles have become a trend in the vehicle industry. Many driver assistance systems DAS have been presented to support these automatic cars. This vehicle autonomy as an application of AI has several challenges like infallibly recognizing traffic lights, signs, unclear lane markings, pedestrians, etc. These problems can be overcome by using the technological development in the fields of Deep Learning, Computer Vision due to availability of Graphical Processing Units GPU and cloud platform. By using deep learning, a deep neural network based model is proposed for reliable detection and recognition of traffic lights TL . Aswathy Madhu | Sruthy S ""Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning: Survey"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30030.pdf
Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/30030/traffic-light-detection-and-recognition-for-self-driving-cars-using-deep-learning-survey/aswathy-madhu
Road traffic jam becomes a serious issue for highly crowded metropolitan cities. India is that the
second most populated country within the world and may be a fast growing economy. it's facing terrible road
congestion within the cities. consistent with Times of India about 30 percent of deaths are caused thanks to delayed
ambulance to succeed in at hospital. In proposed system we try to scale back the delay for the ambulance. To
smoothen the ambulance movement, we come up with “Auto Traffic Management System”. We try to supply the
green signals for ambulance by switching the signals. We are getting to use the technologies like RFIDs. Whenever
signal detects the ambulance almost signal, then signal switches to green. As this technique is fully automated, it
recognize the ambulance and control traffic signals. this technique controls traffic signal and saves the time in
emergency period. Also we've automated camera which can help in monitoring the traffic jam . Thus it act as a
life saver project.
Automatic Robot System In Industries Using Rf Module iosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Dynamic Communication of Wireless Sensor Network IJERA Editor
The aim of present this paper is to the describes the design of a wireless sensor network and RFID communication based on ZigBee technology. It is mainly used for dynamic communication with various nodes. For communication and connected coverage here used various algorithms which improves the efficiency of the system. Here temperature sensor are used for sensor nodes for observation and analysis of node communication with real time application. Verifying the dynamic communication between the nodes and overcome the collision problems between master and slaves. To demonstrate the effectiveness of the proposed method in terms of balancing energy consumption and maximization of network lifetime, it compare approach with the shortest path and RANDOM algorithm with nearest neighbor approach. Simulation results demonstrate that the network lifetime achieved by the proposed method could be increased by nearly Twenty five percent more than that obtained by the RANDOM and by nearly Twenty percent more than that obtained by the Local Connect Then Cover (LCTC)
Development of a portable community video surveillance systemIJECEIAES
In 2016, a crime rate has been evidently increasing particularly in Kuala Lumpur areas, including reports on house break-ins, car thefts, motorcycle thefts and robbery. One way of deterring such cases is by installing CCTV monitoring system in premises such as houses or shops, but this usually requires expensive equipment and installation fees. In this paper a cheaper alternative of a portable community video surveillance system running on Raspberry Pi 3 utilizing OpenCV is presented. The system will detect motion based on image subtraction algorithm and immediately inform users when intruders are detected by sending a live video feed to a Telegram group chat, as well as sound the buzzer alarm on the Raspberry Pi. Additionally, any Telegram group members can request images and recorded videos from the system at any time by sending a get request in Telegram which will be handled by Telegram Bot. This system uses the Pi NoIR camera module as the image acquisition device equipped with a 36 LED infrared illuminator for night vision capability. In addition to the Python language, OpenCV, a computer vision simulation from Intel is also used for image processing tasks. The performance analysis of the completed system is also presented computational complexity while offering improved flexibility. The performance time is also presented, where the whole process is run with a noticeable 3 seconds delay in getting the final output.
With the rapid development of smartphone industry,
various positioning-enabled sensors such as GPS receivers,
accelerometers, gyroscopes, digital compasses, cameras, WiFi and Bluetooth have been built in smartphones for
communication, entertainment and location-based services.
Smartphone users can get their locations fixed according to
the function of GPS receiver.
With the rapid development of
smartphone industry, various positioning-enabled
sensors such as GPS receivers, accelerometers,
gyroscopes, digital compasses, cameras, Wi-Fi and
Bluetooth have been built in smartphones for
communication, entertainment and location-based
services. Smartphone users can get their locations
fixed according to the function of GPS receiver.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
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.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
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
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers