Pothole detection
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The document proposes a pothole detection system using a Raspberry Pi camera to capture images of the road surface and detect potholes in real-time. When a pothole is detected, the system will alert the driver and notify municipal authorities, providing the location and dimensions of the pothole. This aims to help drivers avoid potholes and reduce accidents, while helping municipalities address infrastructure issues more quickly. The proposed system uses inexpensive, accessible hardware and computer vision algorithms to achieve this goal in a low-cost manner.
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Pothole Detection System
The goal of our project is to design a Pothole detection System which assists the driver in avoiding potholes on the roads, by giving him prior warnings.
Warnings can be like a buzzer or series of LED, if the driver is approaching a pothole, or driver may be warned in advance regarding road pothole.Due to weather conditions , improper construction and overloading of vehicles the roads are getting damaged.
The scope of the project lies , where the irregularity of the road affects public people .
This can be used in 4 wheeler , especially for ambulance drivers so that they could save many lives in time.
Pothole detection
The document proposes a pothole detection system using a Raspberry Pi camera to capture images of the road surface and detect potholes in real-time. When a pothole is detected, the system will alert the driver and also notify municipal authorities, providing the location and dimensions of the pothole. This aims to help drivers avoid potholes and reduce accidents, while helping municipalities address infrastructure issues more quickly. The proposed system is intended to be low-cost and provide real-time pothole detection and warning capabilities to improve road safety.
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This document presents a thesis on using YOLO v5 for real-time object detection of potholes, speed breakers, and vehicles. It discusses the objectives, methodology, and implementation of training a YOLO v5 model. The methodology section outlines the steps for preparing the dataset, environment setup, model training, inference on test images, and result visualization. The results section shows various performance metrics and detected objects on test images. It concludes the proposed method provides a preliminary solution for road object detection to help road maintenance agencies and drivers.
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2) The system uses a microcontroller, ultrasonic sensor, GPS, GSM module, accelerometer, LCD display, and buzzer. The ultrasonic sensor detects distances to humps while the accelerometer detects potholes. GPS records locations and GSM sends alerts.
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This document describes a density-based traffic light controller system that uses sensors to measure traffic load and detect emergency vehicles. The system uses a microcontroller to automatically adjust signal timing based on traffic density during normal operation. When an emergency vehicle is detected, the system overrides normal timing to provide a green light in the direction of the emergency vehicle while blocking other lanes. The system is intended to help reduce traffic jams by adapting to current traffic conditions. Key components include IR sensors to detect vehicles, a microcontroller to control signal timing, and an RF receiver to detect emergency vehicles like ambulances.
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This document describes a smart anti-theft system for vehicle security using GPS and GSM technologies. The system tracks the real-time location of a vehicle using a GPS module and sends alerts via GSM if unauthorized movement or accidents are detected. It consists of a GPS receiver, GSM module, microcontroller, webcam, vibration sensor and can send the vehicle's location, photos or videos to the owner. The system provides benefits like vehicle tracking, accident alerts, and theft prevention at a low cost. It has various applications in fleet management, transportation, security and more.
Care – Max for Drowsiness Detection and Notification
This project proposes drowsiness detection and notification system for vehicles and a mobile application for car maintenance. The major objective of the system is to prevent the road accidents caused by driver falling asleep during the travel. The system for drowsiness detection has a camera that monitors the driver’s eye continuously. It calculates the eye aspect ratio to detect if the driver is drowsy. If found drowsy, alarm rings. In this project, a Raspberry Pi board is used for drowsiness detection and alerting the driver. The IoT based mobile application built using android studio proposed here has certain settings like next service date, interval for wheel air checking, interval for wheel alignment. The app is connected to the system using IoT. The information is sent to the system. These settings are notified to the driver through a voice module. R N Susheel | B M Mathumitha | Mr. C Raju "Care – Max for Drowsiness Detection and Notification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30303.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/30303/care-%E2%80%93-max-for-drowsiness-detection-and-notification/r-n-susheel
IRJET- Raspberry Pi based Security System with Automatic Alert System in Road...
1. The document describes a Raspberry Pi-based security system that uses a CCTV camera to detect accidents on roadways in real-time and automatically sends alerts to ambulances.
2. The system analyzes video from the CCTV camera using computer vision techniques to detect accidents. When an accident is detected, it sends an alert message via GSM/GPRS to notify ambulance services.
3. The system aims to reduce response times for accidents by automating detection and alert compared to passive CCTV monitoring, in order to save lives.
IRJET - IoT based Smart Vehicle Alert System for Accident Prevention
This document describes a proposed IOT-based smart vehicle alert system to prevent road accidents. The system uses NodeMCU modules to connect vehicles via wireless connectivity. Ultrasonic sensors measure distance between vehicles and can trigger alarms if vehicles get too close. GPS tracks vehicle locations which are sent to a mobile app via cloud storage. The app displays locations of nearby vehicles to increase visibility and safety, especially in low visibility conditions. The system aims to reduce accidents by alerting drivers if vehicles approach too closely and by allowing drivers to see other vehicle locations even in poor visibility situations.
IRJET- IoT based Garbage Management System for Smart City using Raspberry Pi
This document describes an IoT-based smart garbage management system for cities using a Raspberry Pi. The system uses various sensors connected to the Raspberry Pi like an ultrasonic sensor to measure garbage levels, an IR sensor to count items thrown in bins, a gas sensor to detect harmful gases, and a GPS module. When garbage levels exceed a threshold, the Raspberry Pi sends an email alert to the local municipality via an internet connection. The system aims to automatically monitor garbage bins to promote cleaner cities and reduce human intervention in waste collection.
IRJET- Do not Park
This document describes a system to detect vehicles parked illegally and notify traffic authorities. The system uses ultrasonic sensors to detect parked vehicles, a Raspberry Pi for processing, a camera to capture images of illegally parked vehicles, and a servo motor to position the camera. When a vehicle is detected, the system issues warnings and captures an image of the vehicle to send to police. The goal is to help traffic authorities identify illegally parked vehicles more efficiently and reduce congestion caused by such parking. The system is intended to benefit not just traffic police but also organizations dealing with parking enforcement.
[IJET V2I3P2] Authors: Shraddha Kallappa Walikar, Dr. Aswatha Kumar M
[IJET V2I3P2] Authors: Shraddha Kallappa Walikar, Dr. Aswatha Kumar MIJET - International Journal of Engineering and Techniques
With the technology today, detection of pedestrian was introduced to decrease the accidents in the roads. It was implemented on the traffic lights and cars. In this paper, integration of face detection and pedestrian takes place on the device called Raspberry Pi. OpenCV was used for the detections and programmed in Python. The webcam was used to capture images in real-time. The image was processed at the microprocessor. When pedestrians were detected, the microprocessor played the recorded voice and outputs it to the connecting speaker to notify those pedestrians or the pedestrian to wait before crossing until such time. The microprocessor sends a signal to the Gizduino to process the time of the red lights on state. The microcontroller was programmed with the traffic signals. When it receives a signal from the microprocessor, it added an extra seconds to the red lights on state. Afterwards when it returned, it changed back to its original on state. The success rate was 80% this shows the two detection was integrated in the system successfully worked.SMART MONITORING OF AUTOMOBILE USING IOT
The document proposes a smart monitoring system for automobiles using IoT. It uses sensors connected to an Arduino board to monitor various vehicle components. The Arduino feeds sensor readings to a Raspberry Pi gateway and then to a server via Ethernet. If readings exceed thresholds, the server sends alerts to users by SMS. It also allows emergency requests if the vehicle breaks down. The service center can track vehicle status and location through a website. The system aims to promote vehicle safety and maintenance through low-cost, real-time monitoring of components.
Gutter Detection and Ranging
Automatic Gutter Detection System with sensitivity adjuster .
This is an innovative product which can be installed easily in an automotive system . The major highlight of our product is about its evolution ie; we take this public sector problem as social service through engineering point of view.
IRJET- Virtual Eye for Blind- A Multi Functionality Interactive Aid using Pi
This document describes a proposed system called Virtual Eye for Blind (VEB) that uses various sensors and a Raspberry Pi to help blind individuals navigate and perceive their surroundings. The key components of VEB include an IR camera to detect ditches, a GPS module for navigation, and a radar system to identify moving objects like vehicles. The Raspberry Pi processes input from these sensors and provides audio directions and alerts to the user via a Bluetooth headset. The goals of the system are to enable easy movement between locations, alert users about hazards, and inform them about approaching dangers to allow for an appropriate response. The system is still in development stages and faces challenges regarding GPS accuracy and power consumption of the radar system.
IRJET- GPS Tracker & Alcohol Detector with Engine Locking System using GSM
This document describes a GPS tracker and alcohol detector system with engine locking capabilities using GSM. The system uses an alcohol sensor to detect if the driver has been drinking. If alcohol is detected, the sensor will send a signal to a microcontroller which will then send a message via GSM to a preregistered mobile number. The message alerts that the driver is drunk. An alarm will sound in the car and the engine will lock. The GPS module tracks the car's location using longitude and latitude, which is sent via GSM to the user's phone. This allows the owner to view the car's location on Google Maps. The system aims to prevent drunk driving accidents.
Secured Spy for Highly Secured Areas
This document describes a smart and low-cost surveillance system using a Raspberry Pi, USB camera, PIR sensor, and motion detection algorithm. The system is designed for highly secured areas and overcomes issues with traditional CCTV like high storage requirements and 24/7 monitoring needs. When motion is detected by the PIR sensor or camera, the system sends a short link to the user's phone to view the live video stream. It also saves images for review and uses motion detection to only store images where motion occurred, reducing storage needs. The system is intended to provide a secure, affordable, and efficient surveillance solution.
IRJET- Real Time Video Surveillance Architecture for Secured City Automation
The document describes a real-time video surveillance system for securing cities using computer vision and IoT technologies. The system uses a Raspberry Pi single board computer connected to sensors like cameras, motion detectors, gas sensors and flame detectors. It can detect intrusions and environmental pollution in real-time. When motion or certain gases/fire is detected, it will stream live video, record footage and send alert messages using a GSM module. The system aims to provide automated security and monitoring for smart cities through object tracking, motion detection and pollution monitoring capabilities.
IRJET - Bus Indication for Blind People using RFID & Raspberry Pi
This document describes a system to help blind people identify approaching buses by using RFID and a Raspberry Pi. The system consists of an RFID reader placed 100 meters from bus stops that detects unique RFID tags attached to buses. When a bus is detected, the bus details are converted to speech and announced to blind people waiting at the stop. An infrared sensor also detects the presence of any blind people, causing an LED to light up and notify the bus driver. The goal is to allow blind travelers to independently identify the correct bus approaching without relying on others.
A Survey on Vehicle Tracking System using IoT
This document summarizes a survey on vehicle tracking systems using IoT. It discusses various approaches taken in previous research projects that implemented vehicle tracking using technologies like Arduino, Raspberry Pi, GPS, GSM, and databases. The survey compares using Arduino vs Raspberry Pi as the embedded platform and on-chip vs server-side data storage. It is concluded that Raspberry Pi provides faster processing and more RAM compared to Arduino, and server-side storage offers more security and flexibility than on-chip storage.
IRJET- GPS Based Vehicle Tracking and Monitoring System - A Solution for Tran...
This document describes a GPS-based vehicle tracking and monitoring system using Arduino. The system uses a GPS module to obtain location data and a GSM module to send the location to authorized users via SMS. When a registered user texts the system, it replies with the vehicle's current latitude and longitude, which can be viewed on a map. The system is intended to help with vehicle security, tracking salespeople, and monitoring private drivers. It provides location updates every 10 seconds while the vehicle is moving.
car accident-up EEE.pptx
This document outlines a project to create a vehicle accident detection device using a GPS receiver, gyroscope sensor, and GSM modem. The device would detect accidents by sensing abrupt vibrations with the gyroscope. It would then use the GPS receiver to determine the accident location and send this location via text message to predefined phone numbers using the GSM modem. The document describes the circuit components, working procedure, block diagram, circuit diagram, advantages and disadvantages, cost analysis, and future scope of the project.
IRJET- IoT based Adaptive Traffic Monitoring
This document describes an IoT-based adaptive traffic monitoring system that uses sensors and microcontrollers to optimize traffic light timing based on vehicle density, detect vehicles jumping red lights, capture images of those vehicles, and send the images via email. The system uses IR sensors to detect vehicle density on the road and adjusts green light times accordingly using an AVR microcontroller. An IR sensor also detects vehicles running red lights and triggers a Raspberry Pi to take a photo of the vehicle's license plate with a camera. The image is then emailed to authorized recipients. An IR remote control is also integrated to allow ambulances to change lights from red to green as needed. The system aims to reduce traffic and prevent violations of traffic laws.
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Pothole detection
- 2. As we all know, road safety is considered as one of the most important safety precautions that have to be taken to save our lives. To ensure road surface quality it should be monitored continuously and repaired as necessary. Well maintained roads contribute a major portion to the country’s economy. One of the major problem is potholes on roads. The problem is more scary in rainy season.
- 3. Every year we lose more than one lakh lives on Indian roads due to accidents and the proportion of the accidents due to potholes on the road is quite significant. Number of accidents are more when the potholes are covered by water during monsoon. If these potholes can be detected in real time while driving, it will help vehicle drivers to avoid it and thus to escape from a near danger.
- 4. Here we propose the design of ‘Pothole Detection System’ which assists the driver in avoiding potholes on the roads, by giving the prior warnings. Warnings can be like buzzer, if they are approaching a pothole. And the information is sent to municipal authorities with all the dimensions of pothole and location. The location of Pothole can be shown in Google map.
- 5. Hardware Requirements: Raspberry Pi Pi Camera LAN Cable Software Requirements : LINUX GPS
- 6. RASPBERRI PI 3: The Raspberry Pi 3 is a basic embedded system and used to reduce the complexity of systems in real time applications. The main signal processing chip unit used in Raspberry Pi system is a Broadcom BCM2837 1.2GHz chip in which cpu core is a 64bit ARM Cortex-A53 quadcore processor. The main processing chip connects camera and display.
- 7. PI CAMERA: The Camera Module can be used to take high-definition video, as well as stills photographs. It supports 1080p30, 720p60 and VGA90 video modes, as well as still capture. It attaches via a 15cm ribbon cable to the CSI port on the Raspberry Pi. The camera module used is able to deliver clear 5MP resolution image, or 1080P HD video recording at 30fps.
- 8. PYTHON: Python is an object- oriented, high- level programming language.Python has syntax that allows developers to write programs fewer lines than some other programming language. Here in this we are writing an algorithm to detect pothole. GPS: GPS has many major uses but here we are exclusively using it for locating the pothole in google maps.
- 9. In the proposed System design, pothole detection using Raspberry pi is depicted. when pothole occurs it senses and captures the image of the pothole. Then the image send to the cloud, and the information can be monitored by municipal authorities. Raspberry pi based module: Image capturing Monitoring phase
- 11. Vision based Sensor used Camera Response time High Sensing time While approaching the pothole Processing Complex image processing algorithms Maintenance cost Low Characterization of pothole Based on the size
- 12. The proposed idea will help to reduce accidents and make driving safe. It helps municipal administration to plan and act based on the notifications and public can keep a vigil on the performance of municipal administration in addressing the pothole complaints. The hardware model is cost effective which is an added advantage.