ACCIDENT PREVENTION AND ALERT SYSTEM
Abstract : The expanding number of road mishaps is because of an expanding populace and a huge number of vehicles on the street. We can't stop mishaps yet we can find a way to forestall it. As indicated by the statistics, an enormous number of individuals lose their life since they don't get legitimate or quick assistance. This paper presents a method to prevent and provide the necessary help immediately. This is an IoT(Internet of Things) based system consisting of Arduino board, Ultra Sonic sensor, temperature sensor, accelerometer GPS(Global Positioning System) module, and GSM(Global System for Mobile communication) module. At the point when an accident will happen, the location of the accident is detected by a GPS module and an alert message will be sent with location via GSM module to the registered mobile numbers. This alert message will help in giving quick assistance to the victim. The response time of the proposed device is too little, it implies when the vehicle meets mishap, within a couple of moments the message is transmitted, hence helps in saving the lives of a large number of people.
Drowsiness is main thing to simulate whether the accident happened due to the driver asleep. Each and every second number of accidents happened due to driver drowsiness/speed of the vehicle. Drowsiness detection system can identified through non-intrusive machines and the kit having camera that was fixed to record your head movements to detect the asleep.When the vehicle met with any accident the sensor will detect the vibration depending upon the crashes. Then the vibration will sends to microcontroller/ chip to find the location of the accident. The main purpose of the chip is used to find the latitude and longitude of the accident by using GPS.GPS will helps to send an alert message to the ambulance which is located nearest to the accident. The ambulance immediately finds the location by using Google Maps and rescues the accidents.
• Less expensive
• Face detection is not more accurate
• It is complex to use
Another method to detect drowsiness is by observing the eye blinking actionof the driver. In this system, the eye blinks of the person are determined and the resulting output is analyzed to finalize whether that person is sleeping or not.The proposed algorithm is developed to minimize the complexity level from existing system while efficiency has given prime importance which was a main objective of this project by tracking the blinks of the eye.In addition to that, an alert will also be given to the user to inform him not to sleep while driving. Intel Galileo gen 2 is used along with some sensors and motors to detect and alert the drowsy driver. If any accidents occur because of the environment or third party, then an alert message and an image of the accident occurred will be sent to the nearby ambulance unit.The accident occurred is detected by the vibration sensor and the alert message will be sent to the nearest hospital.
• Intelligent and safe transportation
• Accident can be avoided
• Cost Reduction
• Eye blink sensor is used to detect the eye movement.
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