Helmet based vehicle safety system
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1) The document proposes a helmet-based vehicle safety system to enforce traffic rules in Tamil Nadu and reduce deaths from head injuries in accidents by not allowing a bike to start unless the rider is wearing a helmet. 2) The system uses a PIR sensor and wireless communication between a transmitter on the rider's helmet and a receiver on the bike to determine if a helmet is being worn and will only allow the bike to start if so. 3) The goal of the system is to induce perfect rule following on roads and make biking safer by enforcing helmet usage.
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Web : http://www.lemenizinfotech.com
web : http://www.lemenizinfotech.com/embedded-ieee-projects-2016-2017/
Web : http://ieeemaster.com
Web : http://ieeemaster.com/embedded-ieee-projects-2016-2017/
Address: 36, 100 Feet Road(Near Indira Gandhi Statue), Natesan Nagar, Pondicherry-605 005
Contact numbers: +91 95663 55386, 99625 88976 (0413) 420 5444
Mail : projects@lemenizinfotech.com
Mobile : 9566355386 / 9962588976
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IoT BASED SMART HELMET
This document describes a smart helmet system that uses IoT technology to provide safety features for motorcycle riders. The system uses sensors to detect if a helmet is being worn, test for alcohol consumption, detect nearby vehicles, and sense if an accident has occurred. If an accident is detected, the system sends an alert message with GPS location to emergency contacts. The goal is to help prevent accidents, detect accidents quickly, and facilitate emergency response. The system is designed using components like an Arduino, RF module, alcohol sensor, IR sensor, GPS and GSM modules. It aims to encourage safe riding practices and reduce accident rates.
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The document proposes a system to enforce helmet usage for two-wheeler riders using IoT. It involves circuits in the helmet and vehicle that use IR sensors and a relay module. An Arduino in the helmet transmits a signal to another in the vehicle if a head is detected, activating the relay and allowing the vehicle to start. A Python script on a server could send notifications. The system aims to automatically reduce accidents by requiring helmets without human intervention like challans. It presents the hardware, modules, workflow, advantages in reducing deaths and future potential for electric vehicles.
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This document describes a vehicle accident prevention system with an embedded alcohol detector. The system is designed to avoid accidents caused by drunk driving. It includes an alcohol sensor connected to a microcontroller that will detect if the driver has been drinking. If alcohol is detected, the vehicle will not start and a message will be sent by GSM to authorized individuals. The system aims to provide a more effective way to prevent drunk driving compared to existing external devices. It functions as an internal system connected to the vehicle's ignition to automatically check the driver for alcohol consumption before allowing the vehicle to start.
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This document describes a smart helmet system for motorcycles that uses sensors to ensure safety requirements are met before the ignition can start. The system uses an FSR sensor to detect if a helmet is being worn and an alcohol sensor to test the rider's breath. If the helmet is not worn or alcohol is detected, the ignition will not start. The system aims to reduce accidents by enforcing helmet usage and preventing drunken driving. It transmits sensor data wirelessly from the helmet to the motorcycle using an RF module. The system could provide remote accident detection and reduce theft by only allowing startup via a password.
TITLE : SMART HELMET USING ARDUINO BY SUBASH
The document describes a smart helmet using Arduino that aims to improve motorcycle safety. The helmet detects accidents and alerts guardians through messages with GPS location. It also prevents drunk driving and monitors speed. The system first checks if a rider is wearing a helmet, and if not, prevents the vehicle from starting. This helps reduce accidents and saves lives through low-cost safety measures.
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An accident is a specific, unexpected, unusual and unintended external action which occurs in a particular time and place, with no apparent and deliberate cause but with marked effects. Carelessness of the driver is the major factor of such accidents. The traffic authorities give a lot of instructions to the vehicle operators. But many of them do not obey the rules. Nowadays most of the countries are forcing the motor riders to wear the helmet and not to use the vehicles when the person is in drunken condition. But still the rules are being violated by the users. In order to overcome this we propose a new intelligent helmet system, which automatically checks whether the person is wearing the helmet and has non- alcoholic breath while driving. Here we have a transmitter at the helmet and the receiver at the bike .The project aims at the security and safety of the bikers against road accidents. The circuit is so designed that the bike wont’ start without wearing helmet. Also, if the driver is drunk, the bike will not start thereby preventing drunken drivers. And in case of accident, immediate message will be sent to the family members about the accident using a GSM modem.
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This document describes a vehicle safety, security, and tracking device created using an Arduino board. The device uses various sensors to monitor driver safety and prevent accidents. It includes a pressure sensor to check for seatbelt use, an IR sensor to detect accidents, and an alcohol sensor to check for intoxication. If unsafe conditions are detected, the device prevents the vehicle from starting. In the event of an accident, the GPS and GSM modules send the vehicle's location to emergency contacts. The system aims to encourage safe driving behaviors and notify authorities quickly in emergency situations.
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In this research paper, we are focusing on automobile thief evidence giving and recovery of stolen vehicles. The main purpose of this paper is to introduce new system i.e. automatic thief evidence giving system in automobile. In this system we are using IR (Infrared) pair. Transmitter of IR pair is placed at driver’s seat and receiver is placed on speedometer in such a way that they will correspond to each other. Whenever person sits on driving seat and starts the car, power supply automatically will get to the circuit mounted inside the car and circuit gets started. As circuit is on, light emitted by transmitter will not be received by receiver mounted in circuit on speedometer, as the person is sitting on driving seat, therefore it creates barrier between transmitter and receiver. Now the generated signals go to circuit and camera will automatically turned on and starts to capture the three pictures in short span. This captured picture will send to the owner of the car in the form of MMS (Multimedia Messaging Service). Then owner receives MMS and decides the person driving the car is known personality or not. If not, then owner will report to the police with evidence of picture got via MMS. Therefore, it will be easy task for police department to find thief and stolen vehicles. So this system would be very helpful to the owner and police department too. Therefore, use of automatic thief identification system in automobile will increase the recovery of stolen vehicle.
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This document describes a smart helmet system that aims to improve motorcycle safety. The system uses sensors to check if the rider is wearing a helmet before allowing the bike to start. It also checks if the rider has been drinking alcohol. The system contains an Arduino microcontroller, alcohol sensor, IR sensor, vibration sensor, GPS and GSM modules. If an accident occurs, the GPS detects the location which is then sent as a text message via GSM to emergency contacts. The goal is to enforce helmet usage and prevent drunk driving, while facilitating quicker emergency response times after an accident. The system provides safety benefits and could help reduce traffic violations and casualties from motorcycle accidents.
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This document describes a smart helmet controlled vehicle system that aims to increase road safety for motorcyclists. The system uses sensors in the helmet and vehicle to detect accidents and send alerts. It utilizes an ESP-12E microcontroller, GSM modem for communication, and GPS for location tracking. When an accident is detected, the system sends SMS alerts with the rider's location to emergency contacts to help facilitate faster response times. The system is intended to address the growing issue of motorcycle accidents and help reduce fatalities through automated accident detection and emergency notification.
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This document describes a smart helmet called "Tara" that detects accidents, alcohol levels, and whether the helmet is being worn. It uses sensors like an alcohol sensor, breath analyzer, MEMS sensor, touch sensor, and rain sensor connected to a microcontroller. The MEMS sensor detects accidents by measuring tilts. The breath analyzer and alcohol sensor check for a human and alcohol levels in their breath. A touch sensor confirms the helmet is worn. It connects via Bluetooth to send emergency alerts with location data if an accident or high alcohol is detected. The system aims to reduce accidents by promoting safer riding behaviors like wearing a helmet and preventing drunk driving.
Biometric Vehicle Authentication System
This document proposes and describes a biometric vehicle access system using fingerprint recognition. The system uses a fingerprint module connected to a microcontroller to control ignition access and start the vehicle engine only upon a matching fingerprint. If an unauthorized fingerprint is used, the microcontroller sends a SMS alert to the vehicle owner using an onboard GSM module. The system provides increased vehicle security over traditional keys and prevents unauthorized vehicle access and theft.
innovation
The document proposes a life saving system to reduce accidents caused by mobile phone use while driving. The system would detect if a driver is using a mobile phone based on radio frequency and camera detection. It would then gradually slow the speed of the car, light warning lights, record the incident, and send it to traffic authorities. The goal is to decrease mobile phone use by drivers and increase safety through deterrence and awareness of risky behavior.
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VEHICLE SAFETY, SECURITY MONITORING AND TRACKING DEVICE USING ARDUINO
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Helmet based vehicle safety system
- 1. HELMET BASED VEHICLE SAFETY SYSTEM ABSTRACT In Tamilnadu, there are many rules and regulations are made by the government, but no one is ready to follow the rules. We focus on traffic rules in this project. When we take a survey regarding death in accidents, it is mainly due to injury on head. That is mainly because of not wearing helmet. As an Engineer, it is our prime duty to protect people with a device. As per the rules, every bike rider should wear helmet, but many of us are not following that. To make them follow the rules, our automated traffic rule control device going to keep a check mate. “Only if people wear a helmet they can start their bike else they can’t start”. So our device will make the people perfect in following the rules. Our device works by means of wireless communication and PIR sensor which sense the human and supply a signal to relay. The main concept of our project is to induce a perfect vehicle to drive on road. The prime motive of our project is: 1. Every citizen must follow the traffic rules 2. To avoid death because of accidents 3. To make a bike which is said to be “king of rules”