This document summarizes research on using an automobile black box system to analyze vehicle accidents. It proposes using sensors like temperature, humidity, and gas sensors mounted on a Raspberry Pi 3 to continuously monitor vehicle and driver conditions. Video and location data would also be collected from external cameras and GPS. All sensor data would be stored on an SD card for retrieval after an accident occurs. The goal is to analyze accidents more accurately by objectively recording what happened leading up to the accident. This could help prevent future accidents by identifying risky driver behaviors from the collected data.
IRJET- A Methodology: Iot Based Drowsy Driving Warning and Traffic Collis...IRJET Journal
The document proposes an IoT-based system to detect drowsy driving and traffic collisions. The system uses a smartphone to continuously monitor the driver's face for signs of drowsiness like eye blinking and mouth position using image processing. If drowsiness is detected, an alarm is triggered. The system also uses ultrasonic sensors to monitor vehicle distance and warn of obstacles. An impact sensor detects collisions and sends an emergency message with location to nearby hospitals and police. The goal is to reduce accidents caused by drowsy driving and speed emergency response to collisions.
IRJET-A review of Face Recognition Based Car Ignition and Security SystemIRJET Journal
This document proposes a face recognition system to replace traditional car ignition keys. The system would use a Raspberry Pi and MATLAB algorithms to detect and track a user's face in order to start the car. It discusses how face recognition is a growing field in computer vision and security. The proposed system would work by detecting a user's face, recognizing it as an authorized user, and then enabling ignition. This adds security beyond a traditional key while maintaining convenience. It aims to prevent theft while incorporating modern computer vision techniques.
IRJET- Identification of Accident Prone Spots using Mobile ApplicationIRJET Journal
This document describes a mobile application called Road Gazer that aims to identify accident-prone areas on roads by allowing users to report issues. The application allows users to submit a complaint that includes a location, image, and description of the issue like poor road conditions, unauthorized median cuts, or accidents. This data is stored in a database. Authorities can then access the database to analyze complaint data, identify high-risk areas, and take preventive measures. The goal is to reduce road accidents and fatalities by addressing infrastructure problems before more accidents occur. The application was created using Android Studio and stores data in a SQLite database and Google Firebase. It allows real-time reporting of issues directly from roads to help authorities improve safety
This document summarizes a research paper that proposes an accident detection and emergency response system utilizing IoT (Internet of Things). The system uses sensors on a smartphone to detect if an accident has occurred. It then determines the user's location using GPS and sends this location to nearby hospitals and the user's emergency contacts. This allows emergency services to quickly locate and assist the injured user. The system was developed using Android Studio and utilizes Java and XML programming languages. It analyzes how IoT can help improve intelligent transportation systems by enabling real-time accident detection and emergency response.
1. The document describes a prototype for a smart travel automated vehicle (STAV) that uses sensors and a Raspberry Pi microcontroller to drive autonomously.
2. The STAV is designed to detect obstacles using ultrasonic sensors, identify traffic signs using computer vision, and send alerts to contacts if an accident occurs using GPS.
3. Features of the STAV include automated driving, fast response times through algorithms, traffic sign detection, obstacle avoidance, accident alerts, and automated headlights based on time of day.
Fighting Accident Using Eye Detection forSmartphonesIJERA Editor
This paper is an attempt to investigate an important problem and approaches of human eye detection, blinking, and tracking. A new system was proposed and implemented using android technology for smartphones. System creatively reduces accidents due to drivers’ fatigue by focusing on treating the driver after fatigue has been detected to achieve decrease in accident likelihood.
Smartphone's have been the important tools in our society for the abundant functions including communication, entertainment and online office etc. as the pivotal devices of mobile computing. Smartphone development has also become more important than before. Android is one of the emerging leading operating systems for smartphones as an open source system platform. Many smartphones have adopted this platform and more smartphones will do so in the future. The proposed system is well-suited for real world driving conditions since it can be non-intrusive by using video cameras to detect changes. Driver operation and vehicle behavior can be implemented by equipping automobiles with the ability to monitoring the response of the driver. This involves periodically requesting the driver to send a response to the system to indicate alertness. The propose system based on eyes closer count & yawning count of the driver. By monitoring the eyes and face, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident and providing the driver with a warning if the driver takes his or her eye off the road.
IRJET- Identification of Crime and Accidental Area using IoTIRJET Journal
This document summarizes a research paper that proposes a system to identify crime and accident-prone areas using IoT to improve traveler safety. The system would allow police to add accident and crime spots to a map based on location and assigned danger level. Using GPS, the system could notify travelers passing near high-risk areas via voice messages. The goal is to reduce accidents and crimes by making travelers aware of risky spots. The paper reviews existing accident detection systems and discusses how the proposed system aims to address their limitations such as always-on network requirements by leveraging IoT technologies like GPS and geofencing.
This document discusses car automation using Internet of Things technologies. It describes how sensors like ultrasonic sensors, GPS receivers, and IR sensors can be used with microcontrollers like Arduino and Raspberry Pi to monitor and control aspects of a vehicle. This allows for features like obstacle detection, speed control, automatic parking, and remote monitoring. The document also reviews several related works involving platforms for autonomous vehicles and discusses methods, results and applications of car automation systems.
IRJET- A Methodology: Iot Based Drowsy Driving Warning and Traffic Collis...IRJET Journal
The document proposes an IoT-based system to detect drowsy driving and traffic collisions. The system uses a smartphone to continuously monitor the driver's face for signs of drowsiness like eye blinking and mouth position using image processing. If drowsiness is detected, an alarm is triggered. The system also uses ultrasonic sensors to monitor vehicle distance and warn of obstacles. An impact sensor detects collisions and sends an emergency message with location to nearby hospitals and police. The goal is to reduce accidents caused by drowsy driving and speed emergency response to collisions.
IRJET-A review of Face Recognition Based Car Ignition and Security SystemIRJET Journal
This document proposes a face recognition system to replace traditional car ignition keys. The system would use a Raspberry Pi and MATLAB algorithms to detect and track a user's face in order to start the car. It discusses how face recognition is a growing field in computer vision and security. The proposed system would work by detecting a user's face, recognizing it as an authorized user, and then enabling ignition. This adds security beyond a traditional key while maintaining convenience. It aims to prevent theft while incorporating modern computer vision techniques.
IRJET- Identification of Accident Prone Spots using Mobile ApplicationIRJET Journal
This document describes a mobile application called Road Gazer that aims to identify accident-prone areas on roads by allowing users to report issues. The application allows users to submit a complaint that includes a location, image, and description of the issue like poor road conditions, unauthorized median cuts, or accidents. This data is stored in a database. Authorities can then access the database to analyze complaint data, identify high-risk areas, and take preventive measures. The goal is to reduce road accidents and fatalities by addressing infrastructure problems before more accidents occur. The application was created using Android Studio and stores data in a SQLite database and Google Firebase. It allows real-time reporting of issues directly from roads to help authorities improve safety
This document summarizes a research paper that proposes an accident detection and emergency response system utilizing IoT (Internet of Things). The system uses sensors on a smartphone to detect if an accident has occurred. It then determines the user's location using GPS and sends this location to nearby hospitals and the user's emergency contacts. This allows emergency services to quickly locate and assist the injured user. The system was developed using Android Studio and utilizes Java and XML programming languages. It analyzes how IoT can help improve intelligent transportation systems by enabling real-time accident detection and emergency response.
1. The document describes a prototype for a smart travel automated vehicle (STAV) that uses sensors and a Raspberry Pi microcontroller to drive autonomously.
2. The STAV is designed to detect obstacles using ultrasonic sensors, identify traffic signs using computer vision, and send alerts to contacts if an accident occurs using GPS.
3. Features of the STAV include automated driving, fast response times through algorithms, traffic sign detection, obstacle avoidance, accident alerts, and automated headlights based on time of day.
Fighting Accident Using Eye Detection forSmartphonesIJERA Editor
This paper is an attempt to investigate an important problem and approaches of human eye detection, blinking, and tracking. A new system was proposed and implemented using android technology for smartphones. System creatively reduces accidents due to drivers’ fatigue by focusing on treating the driver after fatigue has been detected to achieve decrease in accident likelihood.
Smartphone's have been the important tools in our society for the abundant functions including communication, entertainment and online office etc. as the pivotal devices of mobile computing. Smartphone development has also become more important than before. Android is one of the emerging leading operating systems for smartphones as an open source system platform. Many smartphones have adopted this platform and more smartphones will do so in the future. The proposed system is well-suited for real world driving conditions since it can be non-intrusive by using video cameras to detect changes. Driver operation and vehicle behavior can be implemented by equipping automobiles with the ability to monitoring the response of the driver. This involves periodically requesting the driver to send a response to the system to indicate alertness. The propose system based on eyes closer count & yawning count of the driver. By monitoring the eyes and face, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident and providing the driver with a warning if the driver takes his or her eye off the road.
IRJET- Identification of Crime and Accidental Area using IoTIRJET Journal
This document summarizes a research paper that proposes a system to identify crime and accident-prone areas using IoT to improve traveler safety. The system would allow police to add accident and crime spots to a map based on location and assigned danger level. Using GPS, the system could notify travelers passing near high-risk areas via voice messages. The goal is to reduce accidents and crimes by making travelers aware of risky spots. The paper reviews existing accident detection systems and discusses how the proposed system aims to address their limitations such as always-on network requirements by leveraging IoT technologies like GPS and geofencing.
This document discusses car automation using Internet of Things technologies. It describes how sensors like ultrasonic sensors, GPS receivers, and IR sensors can be used with microcontrollers like Arduino and Raspberry Pi to monitor and control aspects of a vehicle. This allows for features like obstacle detection, speed control, automatic parking, and remote monitoring. The document also reviews several related works involving platforms for autonomous vehicles and discusses methods, results and applications of car automation systems.
IRJET - Helmet Violation Detection using Deep LearningIRJET Journal
This document describes a proposed system to detect motorcycle riders without helmets using deep learning techniques and report violations. The system uses support vector machines (SVM) for vehicle classification, convolutional neural networks (CNN) and SVM for helmet detection, and optical character recognition (OCR) for license plate recognition. Motorcycles are classified, helmet use is identified, and license plate numbers of riders without helmets are captured and SMS fines are sent. The goal is to reduce accidents by increasing helmet compliance through automated detection and reporting of violations.
This document summarizes an embedded system-based robotic vehicle protection project using STISIM driving simulation software. Key aspects include:
- The project uses sensors like temperature, fuel level, speed and limit switches connected to an ATMEGA microcontroller to monitor a vehicle. If any abnormal readings are detected, the microcontroller transmits the data via GSM to a monitoring PC.
- STISIM driving simulation software is used to simulate the vehicle, sensors and monitoring system for testing purposes. It provides a real-time simulated experience.
- In the event of an accident, theft or abnormal behavior, the system can locate the vehicle using GPS, stop it using relays, and provide data to police for
This document summarizes an embedded system-based project for vehicle protection using STISIM driving simulation software. The project uses sensors to monitor a vehicle's temperature, fuel level, speed, and other parameters. If any parameters exceed safe thresholds, the microcontroller will send an alert to authorities using GSM. The monitoring unit receives the alerts using a modem connected to a PC. STISIM simulation software is used to provide a realistic driving experience to help prevent accidents and investigate incidents. The overall goal is to increase vehicle and road safety through monitoring and accident prevention/investigation capabilities.
Advanced Driver Assistance System using Vehicle to Vehicle CommunicationIRJET Journal
This document describes a proposed intelligent collision avoidance warning system using vehicle-to-vehicle communication. It involves developing an Android application for authentication to prevent cyberattacks. A virtual car environment is created using QT to test the collision avoidance algorithm in realistic traffic scenarios. Vehicles communicate over Wi-Fi to share location, speed and other data. An optimized algorithm analyzes overlapping "safety zones" to predict collisions and provide drivers with warnings. The system was tested and able to detect lane change, rear-end, front-end and intersection collisions through vehicle information sharing and safety zone analysis.
IRJET- Internet of Things based Emergency SystemIRJET Journal
The document proposes an Internet of Things (IoT) based emergency system to detect vehicle accidents. The system uses an accident sensor and microcontroller to detect accidents and transmit the information to an IoT module. The IoT module then sends an alert with the vehicle's GPS location to relatives or nearby hospitals. If the accident is minor, the driver can press a reset switch to continue driving. The system aims to quickly detect accidents and provide immediate medical assistance to reduce accident fatalities.
IRJET- Role of Human Factors in the Design of Blind Spot Detection TechnologyIRJET Journal
This document discusses the role of human factors in the design of blind spot detection technology. It provides background on blind spot zones and the evolution of blind spot detection systems. Some key issues with existing systems are identified, such as visibility of side mirror warnings and reliability in adverse weather. The document then analyzes various human factors implications, like declining driver focus, lack of exposure to the technology, and overdependence on the technology. It stresses the importance of considering human perceptual and cognitive abilities in the design of blind spot detection systems.
This document describes a proposed vehicle collision avoidance system that uses CAN (Controller Area Network) protocol for hybrid vehicle-to-vehicle communication. It aims to design a system that can detect rear-end collisions, indicate steering movements, detect fog conditions, and safely facilitate vehicle overtaking. The system would use an ARM microcontroller, IR transmission for rear collision detection between two vehicles, an accelerometer connected to the steering to indicate its movement via LED lights, a smoke sensor to detect fog and activate red headlights, and a Zigbee communication system between vehicles with LEDs and buttons to coordinate safe overtaking. The system aims to reduce accidents by automatically monitoring vehicle parameters and enabling communication between nearby vehicles.
This document discusses vehicle cyber security and the increasing risks posed by software-controlled systems in modern vehicles. As vehicles become more connected and automated, they are vulnerable to hacking through various access points like OBD ports, mobile apps, and over-the-air software updates. The document reviews past cases where vehicles have been hacked remotely and outlines the vehicle network architecture involving numerous ECUs. It proposes steps to improve security like firewalls, intrusion detection, and two-factor authentication to protect vehicles from unauthorized access and mitigate cyber threats.
IRJET-Drunk and Drowsy Detection of Drivers using Artificial IntelligenceIRJET Journal
This document describes a system to detect drunk and drowsy driving using computer vision techniques. The system uses a smartphone camera to capture video of the driver's face and body. It analyzes eye blinking using facial landmark detection to detect drowsiness. It also analyzes body and head movements using differential imaging to detect signs of drunkenness. If signs of drowsiness or drunkenness are detected based on severity thresholds, an alarm is sounded to alert the driver. The system aims to help prevent accidents by monitoring driver fitness in real-time using non-intrusive computer vision methods.
This document describes a proposed smart vehicle control system with several integrated features:
1. An adaptive headlight system that uses a steering sensor to automatically rotate the headlights based on the vehicle's turning movement for better visibility on curved roads.
2. A headlight intensity control system that adjusts brightness based on ambient light levels measured by an LDR sensor.
3. An automatic indicator system that turns indicators on and off automatically based on turning movements to ensure other vehicles are properly notified.
4. An anti-collision system using IR sensors to detect obstacles, warn the driver, and apply the brakes if needed based on obstacle distance.
5. A vehicle-to-vehicle communication system using GSM and
The document describes a proposed mobile app for carpooling/ridesharing. The app would allow drivers to post available rides between locations and allow riders to request spots on rides. It discusses features like payment options, safety measures like emergency contacts and driver/rider ratings. The proposed app architecture includes a REST API backend with a database to store user info and sync data. User interfaces would allow users to login, offer/request rides, and view ride history. The goal is to promote affordable transportation options while reducing traffic and pollution.
This document describes an automatic traffic management system that uses CCTV cameras, a Raspberry Pi microcontroller, and machine learning algorithms to optimize traffic signal times based on real-time traffic conditions. Video from CCTV cameras is processed using HAAR cascade algorithms to identify and classify vehicles in order to calculate traffic density on roads. Based on comparisons to threshold densities, the system can allocate more or less time for traffic signals. This aims to minimize vehicle delays and help reduce issues like traffic jams, pollution, and accidents.
This document discusses a research project to build a model of an autonomous vehicle using a Raspberry Pi and Pi camera for image processing and machine learning to enable the vehicle to detect road lanes, traffic lights, and obstacles. The brain of the system is the Raspberry Pi, which will analyze image data captured by the Pi camera using neural networks and machine learning algorithms. The car will be able to take turns accordingly and will overtake with LED indications if it encounters an obstacle. The document provides an abstract and introduction of the project as well as a literature review of several other papers related to self-driving cars.
The current scenario in the world is that almost all people have their own vehicle for conveyance. As, vehicle has become the most integral part of mankind. It travels as a part and parcel of man’s life. Theft happens increasingly at one place or the other, when there is improper surveillance. The safety of vehicles is extremely essential in all areas, especially in public places. In this work, the vehicle tracking and locking system are done in order to satisfy the needs of security of the vehicle. Vehicle theft handling is one of the important crises in today's world. Countries which are densely populated like India finds it very difficult to track the vehicle after theft. This system consist an advanced microprocessor board which is connected to the GPS to get the real time location of the vehicle which is then connected to the mobile application through IoT platform. Mobile application will show the location of the vehicle in a map and also the places surrounding the vehicle by capturing it through camera connected to the system. Not only to identify the theft but also it avoids the theft by having dual switching method both on vehicle and the mobile application connected to the vehicle via Bluetooth. It also gives the alert notification in the mobile if someone takes the vehicle when it is turned on in the mobile.
Using Artificial Intelligence to create a low cost self-driving carwilliam zhang
1) The document describes a project to create a low-cost, self-driving car using artificial intelligence to recognize traffic signs, lanes, and other vehicles in order to safely navigate without a human driver.
2) Road accidents cause millions of deaths each year, with human error being the leading cause. The self-driving car aims to reduce accidents by removing human error from driving.
3) Multiple computers using AI process data from low-cost cameras and a 3D radar to recognize the environment and calculate a path for the car to follow autonomously.
IRJET- Car Pooling : Real Time Ride SharingIRJET Journal
1) The document describes a proposed real-time ride sharing system called Car Pooling that aims to reduce traffic congestion.
2) It uses a genetic algorithm to match drivers and passengers for carpooling based on their routes and preferences.
3) The system allows users to register, post routes, get matched with suitable carpools, pay for the ride, and provide feedback, with security and privacy features built-in.
IRJET - Automobile Enhanced Security System using LabVIEW based on IoTIRJET Journal
This document summarizes an article about developing an enhanced automobile security system using LabVIEW based on IoT technology. The system aims to prevent vehicle theft using a microcontroller, GSM technology, and a password-based startup process. It would send alerts to the owner if an unauthorized person tries to start the vehicle. The system could block air flow to the engine to prevent starting if the wrong password is entered. It discusses using LabVIEW software to create a user-friendly interface and integrate the security system with IoT to allow remote monitoring and control of vehicles. The goal is to provide effective vehicle security at an affordable cost.
Advanced High Speed Black Box Based Vehicle Crash Investigation Systemijtsrd
This document describes a proposed vehicle black box system that records data during crashes to aid in accident investigations. It would include sensors to monitor speed, location via GPS, and video footage via front and back cameras. The data would be stored temporarily in memory and could then be retrieved for analysis after a crash. The system aims to objectively determine the causes and sequence of events leading up to and during accidents. This could help insurance claims and reduce pending cases by providing clear evidence.
A survey paper on Optimal Solution on Vehicular Adhoc Network for Congestion ...IRJET Journal
This document summarizes a survey paper on optimal solutions for congestion control in vehicular ad hoc networks (VANETs). It discusses how increasing numbers of connected vehicles can lead to more network congestion, higher error rates, and increased risks of accidents. The paper reviews existing approaches for congestion detection and control in VANETs, including algorithms that detect congested areas based on vehicle speed and density. It also discusses routing protocols and how distributed methods can enable vehicles to quantify congestion levels without relying on infrastructure. The document concludes that an effective congestion control solution in VANETs requires integrating both congestion detection and traffic management functionalities.
IRJET- Smart Technology for Vehicle SafetyIRJET Journal
The document proposes a smart system to avoid road accidents in hilly regions using vehicle-to-roadside (V2R) communication technology. The system would involve sensors on both vehicles and the roadside to detect hazards like excessive speed, foggy conditions, and landslides, and communicate warnings to prevent accidents. It describes the system design and components, including sensors to monitor speed, fog, and landslides, with the goal of reducing accidents through early detection of hazards and alerts to drivers.
Advanced Driver Assistance System using Vehicle to Vehicle CommunicationIRJET Journal
This document describes a proposed intelligent collision avoidance warning system using vehicle-to-vehicle communication. It involves developing an Android application for authentication to prevent cyberattacks. A virtual car environment is created using QT to test the system under realistic traffic conditions. Vehicles communicate over Wi-Fi to share parameters like location, speed, and direction. Safety zones are created around each vehicle based on size and braking distance. An algorithm analyzes overlapping safety zones to predict collisions and provide drivers with warnings. The system was tested and able to detect lane change, rear-end, front-end, and intersection collisions through vehicle communication and safety zone analysis.
This document discusses various methods that have been proposed for detecting vehicle accidents using video analysis and machine learning techniques. It reviews 17 different research papers that tested approaches using convolutional neural networks, bidirectional LSTM, Gaussian mixture models, and other algorithms to analyze frames from videos in order to identify accidents. The papers evaluated methods for detecting vehicle collisions, extracting vehicle trajectories, recognizing abnormal traffic events, and alerting emergency services when accidents were identified. Overall, the document provides an overview of the state-of-the-art in using computer vision and deep learning for automatic accident detection from video footage.
IRJET - Helmet Violation Detection using Deep LearningIRJET Journal
This document describes a proposed system to detect motorcycle riders without helmets using deep learning techniques and report violations. The system uses support vector machines (SVM) for vehicle classification, convolutional neural networks (CNN) and SVM for helmet detection, and optical character recognition (OCR) for license plate recognition. Motorcycles are classified, helmet use is identified, and license plate numbers of riders without helmets are captured and SMS fines are sent. The goal is to reduce accidents by increasing helmet compliance through automated detection and reporting of violations.
This document summarizes an embedded system-based robotic vehicle protection project using STISIM driving simulation software. Key aspects include:
- The project uses sensors like temperature, fuel level, speed and limit switches connected to an ATMEGA microcontroller to monitor a vehicle. If any abnormal readings are detected, the microcontroller transmits the data via GSM to a monitoring PC.
- STISIM driving simulation software is used to simulate the vehicle, sensors and monitoring system for testing purposes. It provides a real-time simulated experience.
- In the event of an accident, theft or abnormal behavior, the system can locate the vehicle using GPS, stop it using relays, and provide data to police for
This document summarizes an embedded system-based project for vehicle protection using STISIM driving simulation software. The project uses sensors to monitor a vehicle's temperature, fuel level, speed, and other parameters. If any parameters exceed safe thresholds, the microcontroller will send an alert to authorities using GSM. The monitoring unit receives the alerts using a modem connected to a PC. STISIM simulation software is used to provide a realistic driving experience to help prevent accidents and investigate incidents. The overall goal is to increase vehicle and road safety through monitoring and accident prevention/investigation capabilities.
Advanced Driver Assistance System using Vehicle to Vehicle CommunicationIRJET Journal
This document describes a proposed intelligent collision avoidance warning system using vehicle-to-vehicle communication. It involves developing an Android application for authentication to prevent cyberattacks. A virtual car environment is created using QT to test the collision avoidance algorithm in realistic traffic scenarios. Vehicles communicate over Wi-Fi to share location, speed and other data. An optimized algorithm analyzes overlapping "safety zones" to predict collisions and provide drivers with warnings. The system was tested and able to detect lane change, rear-end, front-end and intersection collisions through vehicle information sharing and safety zone analysis.
IRJET- Internet of Things based Emergency SystemIRJET Journal
The document proposes an Internet of Things (IoT) based emergency system to detect vehicle accidents. The system uses an accident sensor and microcontroller to detect accidents and transmit the information to an IoT module. The IoT module then sends an alert with the vehicle's GPS location to relatives or nearby hospitals. If the accident is minor, the driver can press a reset switch to continue driving. The system aims to quickly detect accidents and provide immediate medical assistance to reduce accident fatalities.
IRJET- Role of Human Factors in the Design of Blind Spot Detection TechnologyIRJET Journal
This document discusses the role of human factors in the design of blind spot detection technology. It provides background on blind spot zones and the evolution of blind spot detection systems. Some key issues with existing systems are identified, such as visibility of side mirror warnings and reliability in adverse weather. The document then analyzes various human factors implications, like declining driver focus, lack of exposure to the technology, and overdependence on the technology. It stresses the importance of considering human perceptual and cognitive abilities in the design of blind spot detection systems.
This document describes a proposed vehicle collision avoidance system that uses CAN (Controller Area Network) protocol for hybrid vehicle-to-vehicle communication. It aims to design a system that can detect rear-end collisions, indicate steering movements, detect fog conditions, and safely facilitate vehicle overtaking. The system would use an ARM microcontroller, IR transmission for rear collision detection between two vehicles, an accelerometer connected to the steering to indicate its movement via LED lights, a smoke sensor to detect fog and activate red headlights, and a Zigbee communication system between vehicles with LEDs and buttons to coordinate safe overtaking. The system aims to reduce accidents by automatically monitoring vehicle parameters and enabling communication between nearby vehicles.
This document discusses vehicle cyber security and the increasing risks posed by software-controlled systems in modern vehicles. As vehicles become more connected and automated, they are vulnerable to hacking through various access points like OBD ports, mobile apps, and over-the-air software updates. The document reviews past cases where vehicles have been hacked remotely and outlines the vehicle network architecture involving numerous ECUs. It proposes steps to improve security like firewalls, intrusion detection, and two-factor authentication to protect vehicles from unauthorized access and mitigate cyber threats.
IRJET-Drunk and Drowsy Detection of Drivers using Artificial IntelligenceIRJET Journal
This document describes a system to detect drunk and drowsy driving using computer vision techniques. The system uses a smartphone camera to capture video of the driver's face and body. It analyzes eye blinking using facial landmark detection to detect drowsiness. It also analyzes body and head movements using differential imaging to detect signs of drunkenness. If signs of drowsiness or drunkenness are detected based on severity thresholds, an alarm is sounded to alert the driver. The system aims to help prevent accidents by monitoring driver fitness in real-time using non-intrusive computer vision methods.
This document describes a proposed smart vehicle control system with several integrated features:
1. An adaptive headlight system that uses a steering sensor to automatically rotate the headlights based on the vehicle's turning movement for better visibility on curved roads.
2. A headlight intensity control system that adjusts brightness based on ambient light levels measured by an LDR sensor.
3. An automatic indicator system that turns indicators on and off automatically based on turning movements to ensure other vehicles are properly notified.
4. An anti-collision system using IR sensors to detect obstacles, warn the driver, and apply the brakes if needed based on obstacle distance.
5. A vehicle-to-vehicle communication system using GSM and
The document describes a proposed mobile app for carpooling/ridesharing. The app would allow drivers to post available rides between locations and allow riders to request spots on rides. It discusses features like payment options, safety measures like emergency contacts and driver/rider ratings. The proposed app architecture includes a REST API backend with a database to store user info and sync data. User interfaces would allow users to login, offer/request rides, and view ride history. The goal is to promote affordable transportation options while reducing traffic and pollution.
This document describes an automatic traffic management system that uses CCTV cameras, a Raspberry Pi microcontroller, and machine learning algorithms to optimize traffic signal times based on real-time traffic conditions. Video from CCTV cameras is processed using HAAR cascade algorithms to identify and classify vehicles in order to calculate traffic density on roads. Based on comparisons to threshold densities, the system can allocate more or less time for traffic signals. This aims to minimize vehicle delays and help reduce issues like traffic jams, pollution, and accidents.
This document discusses a research project to build a model of an autonomous vehicle using a Raspberry Pi and Pi camera for image processing and machine learning to enable the vehicle to detect road lanes, traffic lights, and obstacles. The brain of the system is the Raspberry Pi, which will analyze image data captured by the Pi camera using neural networks and machine learning algorithms. The car will be able to take turns accordingly and will overtake with LED indications if it encounters an obstacle. The document provides an abstract and introduction of the project as well as a literature review of several other papers related to self-driving cars.
The current scenario in the world is that almost all people have their own vehicle for conveyance. As, vehicle has become the most integral part of mankind. It travels as a part and parcel of man’s life. Theft happens increasingly at one place or the other, when there is improper surveillance. The safety of vehicles is extremely essential in all areas, especially in public places. In this work, the vehicle tracking and locking system are done in order to satisfy the needs of security of the vehicle. Vehicle theft handling is one of the important crises in today's world. Countries which are densely populated like India finds it very difficult to track the vehicle after theft. This system consist an advanced microprocessor board which is connected to the GPS to get the real time location of the vehicle which is then connected to the mobile application through IoT platform. Mobile application will show the location of the vehicle in a map and also the places surrounding the vehicle by capturing it through camera connected to the system. Not only to identify the theft but also it avoids the theft by having dual switching method both on vehicle and the mobile application connected to the vehicle via Bluetooth. It also gives the alert notification in the mobile if someone takes the vehicle when it is turned on in the mobile.
Using Artificial Intelligence to create a low cost self-driving carwilliam zhang
1) The document describes a project to create a low-cost, self-driving car using artificial intelligence to recognize traffic signs, lanes, and other vehicles in order to safely navigate without a human driver.
2) Road accidents cause millions of deaths each year, with human error being the leading cause. The self-driving car aims to reduce accidents by removing human error from driving.
3) Multiple computers using AI process data from low-cost cameras and a 3D radar to recognize the environment and calculate a path for the car to follow autonomously.
IRJET- Car Pooling : Real Time Ride SharingIRJET Journal
1) The document describes a proposed real-time ride sharing system called Car Pooling that aims to reduce traffic congestion.
2) It uses a genetic algorithm to match drivers and passengers for carpooling based on their routes and preferences.
3) The system allows users to register, post routes, get matched with suitable carpools, pay for the ride, and provide feedback, with security and privacy features built-in.
IRJET - Automobile Enhanced Security System using LabVIEW based on IoTIRJET Journal
This document summarizes an article about developing an enhanced automobile security system using LabVIEW based on IoT technology. The system aims to prevent vehicle theft using a microcontroller, GSM technology, and a password-based startup process. It would send alerts to the owner if an unauthorized person tries to start the vehicle. The system could block air flow to the engine to prevent starting if the wrong password is entered. It discusses using LabVIEW software to create a user-friendly interface and integrate the security system with IoT to allow remote monitoring and control of vehicles. The goal is to provide effective vehicle security at an affordable cost.
Advanced High Speed Black Box Based Vehicle Crash Investigation Systemijtsrd
This document describes a proposed vehicle black box system that records data during crashes to aid in accident investigations. It would include sensors to monitor speed, location via GPS, and video footage via front and back cameras. The data would be stored temporarily in memory and could then be retrieved for analysis after a crash. The system aims to objectively determine the causes and sequence of events leading up to and during accidents. This could help insurance claims and reduce pending cases by providing clear evidence.
A survey paper on Optimal Solution on Vehicular Adhoc Network for Congestion ...IRJET Journal
This document summarizes a survey paper on optimal solutions for congestion control in vehicular ad hoc networks (VANETs). It discusses how increasing numbers of connected vehicles can lead to more network congestion, higher error rates, and increased risks of accidents. The paper reviews existing approaches for congestion detection and control in VANETs, including algorithms that detect congested areas based on vehicle speed and density. It also discusses routing protocols and how distributed methods can enable vehicles to quantify congestion levels without relying on infrastructure. The document concludes that an effective congestion control solution in VANETs requires integrating both congestion detection and traffic management functionalities.
IRJET- Smart Technology for Vehicle SafetyIRJET Journal
The document proposes a smart system to avoid road accidents in hilly regions using vehicle-to-roadside (V2R) communication technology. The system would involve sensors on both vehicles and the roadside to detect hazards like excessive speed, foggy conditions, and landslides, and communicate warnings to prevent accidents. It describes the system design and components, including sensors to monitor speed, fog, and landslides, with the goal of reducing accidents through early detection of hazards and alerts to drivers.
Advanced Driver Assistance System using Vehicle to Vehicle CommunicationIRJET Journal
This document describes a proposed intelligent collision avoidance warning system using vehicle-to-vehicle communication. It involves developing an Android application for authentication to prevent cyberattacks. A virtual car environment is created using QT to test the system under realistic traffic conditions. Vehicles communicate over Wi-Fi to share parameters like location, speed, and direction. Safety zones are created around each vehicle based on size and braking distance. An algorithm analyzes overlapping safety zones to predict collisions and provide drivers with warnings. The system was tested and able to detect lane change, rear-end, front-end, and intersection collisions through vehicle communication and safety zone analysis.
This document discusses various methods that have been proposed for detecting vehicle accidents using video analysis and machine learning techniques. It reviews 17 different research papers that tested approaches using convolutional neural networks, bidirectional LSTM, Gaussian mixture models, and other algorithms to analyze frames from videos in order to identify accidents. The papers evaluated methods for detecting vehicle collisions, extracting vehicle trajectories, recognizing abnormal traffic events, and alerting emergency services when accidents were identified. Overall, the document provides an overview of the state-of-the-art in using computer vision and deep learning for automatic accident detection from video footage.
The Development Obstacles and Correction Strategies of Intelligent & Connecte...IRJET Journal
The document discusses the development of intelligent and connected vehicles and some obstacles to their growth. It notes that while such vehicles provide benefits like increased safety, efficiency and environmental friendliness, there are also challenges to address, such as difficulties with moral decision-making software, a lack of basic regulations, technical defects, and unclear liability in accidents. It argues these issues need to be resolved through measures like industry self-regulation standards, a comprehensive regulatory framework, improving technical competence, and mechanisms for identifying and assigning accident responsibility.
A TECHNICAL REVIEW ON USE OF VEHICLE MONITORING SYSTEM IN CONSTRUCTION INDUSTRYIRJET Journal
This document provides a technical review of using vehicle monitoring systems in the construction industry. It discusses the challenges currently faced in construction such as monitoring vehicles, fuel waste, safety issues, and increasing demand for technologies to address these problems. It then proposes implementing a vehicle tracking system using an Arduino chip, GPS receiver, and GSM modem to continuously monitor vehicle location, speed, distance traveled and send this data to users via SMS or a mobile app/website. The literature review covers previous research on GPS tracking systems and their use in industries like mining, oil/gas and transportation. It also discusses the methodology and components of the proposed system like the GPS receiver obtaining location from satellites and sending it to the GSM modem. The conclusion is
Traffic Monitoring Using Visual Big Data Analytics in Smart CitiesIRJET Journal
This document proposes a visual big data analytics framework for automatically detecting bike riders without helmets in city traffic using surveillance cameras. It involves a two phase process: 1) identifying bike riders in video frames using background subtraction, object segmentation and classification algorithms. 2) Identifying if the rider is wearing a helmet or not by detecting the head region and applying algorithms like HOG, SIFT and LBP for feature extraction and classification. The framework is designed to process large volumes of video data in real-time using distributed computing over cloud infrastructure for traffic monitoring in smart cities. Experimental results show the approach can detect 93.8% of cases with a processing time of 11.58ms per frame.
Vehicle Related Prevention Techniques: Pothole/Speedbreaker Detection and Ant...IRJET Journal
The document describes techniques for detecting potholes and speed breakers in real-time using a smartphone camera and algorithms like YOLOv4, YOLOv5, EfficientDet and ResNet. It discusses how the smartphone camera continuously captures video frames which are fed into a trained object detection model. When potholes or speed breakers are detected, the user is alerted with a sound notification. The document outlines the dataset creation process involving collection of over 20,000 images of potholes and speed breakers with annotations. It also discusses the training of models on this dataset using Google Collab and achieving highest accuracy of 96.9% using EfficientDet. The trained models are able to detect different types
An Overview of Traffic Accident Detection System using IoTIRJET Journal
This document discusses various technologies for automatic traffic accident detection using IoT (Internet of Things). It provides an overview of existing technologies such as the Gaussian mixture model, use of GPS and IoT, alcohol sensors with Arduino, support vector machines, MEMS, deep learning models, and image handling with machine learning. It then describes a proposed system that uses an Arduino microcontroller along with gyro sensors, GPS, and GSM to detect accidents and send location information and alerts to emergency services. The system aims to provide timely emergency response to save lives by automatically detecting accidents and notifying authorities.
Car Safety System Enhancements using Internet of Things (IoT)IRJET Journal
This document proposes enhancements to car safety systems using Internet of Things (IoT) technologies. It describes a system that would detect alcohol consumption by drivers using an alcohol sensor, and prevent ignition if alcohol is detected. It would also detect car accidents using a tilt sensor and GPS module. If an accident is detected, it would send an emergency SMS message with location details to emergency services. The system would also include improved seatbelt detection using infrared and encoder wheel sensors to ensure proper seatbelt use. The goal is to reduce accidents caused by drunk or unrestrained drivers and speed emergency response when accidents do occur.
IRJET- Smart Vehicle with Crash Detection and Emergency Vehicle Dispatch with...IRJET Journal
This document describes a smart vehicle system that detects vehicle crashes and dispatches emergency services. The system has two main parts: 1) crash detection and location identification, and 2) efficient traffic control for emergency vehicles. The first part uses sensors to detect crashes and obtain location and passenger health data from GPS and pulse sensors, sending this information via GSM to emergency services. The second part uses RFID to control traffic signals and prioritize lanes for approaching emergency response vehicles to reach the crash site more quickly. The overall goal is to minimize response times and reduce transportation accident deaths.
This document describes a proposed 3M secure transportation system that provides security for people (drivers), vehicles, and cargo. The system uses several technologies including face recognition, fingerprint verification, vehicle tracking via GPS and GSM, and QR scanning of cargo. An Android application would be developed to integrate these security features and monitor them. The system is intended for mid-sized transportation businesses to help prevent theft of vehicles and cargo.
SMART ACCIDENT DETECTION AND ALERT MESSAGE SYSTEMIRJET Journal
This document describes a smart accident detection and alert message system that uses sensors to detect vehicle accidents and send emergency alerts. The system uses an Arduino Uno controller interfaced with a GPS module, GSM module, and accelerometer. If an accident is detected by a change in vehicle orientation measured by the accelerometer, the GPS module transmits the accident location via the GSM module. This sends an SMS alert with a Google Maps link to pre-determined contacts like family members or emergency services, allowing them to locate the vehicle and respond quickly to the accident. The goal is to reduce accident fatalities by speeding up emergency response times.
After 1970, road accidents were increased suddenly, mainly due to the increase in the number of
vehicles on the road. The 11% of the world's accidents are happening in India, so we need to think more towards
reducing the accidents and reducing the number of deaths for which the Mobile Communicative Prototype can
play the important role. A survey on 100 peoples is carried out for checking the awareness and rating of the
automobile safety devices. Mobile Communicative Prototype is designed and developed in the project lab and
experimentally investigated the responses. Only after a few seconds of accident, the alert system delivered the
message of the accident to the emergency number, so that the people injured in the accident can get medical help
immediately. The cost of the retrofitting is approximately 100USD, which is very low 1-2% of the cost of the
vehicle. It is also stated that the energy consumption of the retrofit is very low. This can also help in reducing the
speed of vehicles.
IRJET- A Survey on Vehicle Security System using IoTIRJET Journal
This document describes a proposed vehicle security system using IoT technologies. The system uses several sensors and devices to enhance vehicle security and safety. It includes a fingerprint sensor for biometric door locking to prevent theft. An IR sensor is used to detect obstacles near windows to close them automatically. An ultrasonic sensor measures distance to obstacles to avoid collisions. A GPS device tracks the live location of the vehicle. The system only allows the engine to start if the driver is wearing a seatbelt for safety. It aims to address disadvantages of existing systems and provide enhanced security, safety and monitoring features through IoT technologies like sensors, microcontrollers and mobile apps.
IRJET- Car Accident Detection and Notification: An Analytical SurveyIRJET Journal
The document presents a proposed system for car accident detection and notification. The system has two phases: 1) Detection using vibration, speed and collision sensors to identify if an accident has occurred. 2) Notification which uses an Android application along with GPRS and GSM modules to determine the location of the accident and send messages to emergency services and relatives to request help. The system aims to provide faster emergency response to save lives by automating the accident detection and notification process.
IRJET - Automatic Car Insurance using Image AnalysisIRJET Journal
This document proposes an automatic car insurance system using image analysis. It discusses developing a convolutional neural network model to classify car damage types from images and estimate repair costs. The system would allow a policyholder to upload damage photos, get an estimated severity level and repair cost, and streamline the insurance claims process. The model is trained on a dataset of car damage images labeled with their class. It aims to accurately assess minor damage and provide cost estimates to give policyholders faster information after an accident. For major damage cases, further inspection by an insurance assessor would still be required.
IRJET- A Survey on Application of Automobile Safety FeaturesIRJET Journal
This document discusses automobile safety features and technologies. It begins with an abstract that outlines the goals of improving vehicle safety techniques to reduce road accidents and injuries. It then provides background on the large number of annual road deaths worldwide.
The document then analyzes advanced vehicular safety features and their importance, including both active safety features that help prevent crashes (e.g. electronic stability control, collision warning systems) and passive safety features that protect occupants during crashes (e.g. airbags, seatbelts). It discusses how these technologies can help significantly reduce road crashes if implemented widely.
Finally, the document discusses some promising active safety technologies currently used or in development, such as lane departure warning, blind spot monitoring,
This document discusses autonomous self-driving cars and deep learning models. It analyzes the current state of self-driving cars, addressing gaps that need to be filled before they are realized. The document describes collecting training data using a simulator, which provides images and steering angles. A convolutional neural network is trained on this data to predict steering angles and control the vehicle. The goal is to develop a model that can autonomously steer the vehicle through the use of deep learning techniques.
IRJET - Smart Car Parking System using ArduinoIRJET Journal
This document describes a smart car parking system using Arduino that detects available parking spots using IR sensors and updates the information online. The system uses an RFID reader to identify vehicles and a microcontroller to operate the IR sensors and update a webpage displaying available spots to users. When a user scans their RFID tag, it displays their information on the webpage and opens the gate. IR sensors detect when a spot is occupied and update the webpage. The system aims to help users find available parking more efficiently to reduce congestion and pollution from vehicles driving around searching for spots.
This document describes a vehicle assistance system called VASSIST that uses sensors and cameras to monitor the driver and detect accidents. It has several functions:
1) It detects if the driver is drowsy or not wearing a seatbelt and alerts them.
2) In the event of an accident, it analyzes crash data using cameras and sensors, generates an accident report, and immediately notifies nearby hospitals and police.
3) It acts as a smart assistant by providing route suggestions, location tracking, and trip planning features to drivers.
The goal is to develop an affordable system that promotes road safety, especially for commercial drivers who often travel alone. It is tested using simulated accident scenarios and sensor data analysis to avoid
1. The document discusses a method for detecting distracted drivers using computer vision and machine learning techniques. It proposes using a convolutional neural network (CNN), specifically modifying the VGG-16 architecture, to classify images and identify different types of driver distractions or safe driving behaviors.
2. The CNN would take images of the driver as input to extract features, which would then be classified by the network to determine if the driver is distracted or driving safely. The researchers evaluated their proposed system using the StateFarm distracted driver detection dataset.
3. Previous work on detecting distracted driving is discussed, including using features like hands, face, and mouth to identify cell phone use, as well as developing datasets and classifiers to detect other dist
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TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.