In this Project Accident Prevention, detection and reporting system is designed and implemented. The concept of our project is to help people in emergency time by giving instructions to us and third person before the occurrence of an accident due to Alcohol consumption (Drink and Drive) and Drowsiness. To implement this project, we have used sensors which detect Alcoholic consumption, Sleepiness. We are adding sensors such as flame sensor, Alcohol detecting sensor, panic button, tilt sensor for the safety of the people inside the car. We have used an MQ-3 sensor which detects alcohol presence in the surrounding, if the driver has consumed alcohol, the alcohol sensor fixed in the system detects the alcohol and then it sends a warning message through GSM, Driver drowsiness detection to prevent accidents from happening because of Driver fatigue and sleepiness. Dashing sensor is used to detect whenever a vehicle is being stroked by another vehicle or any object. If something crashes or strikes the car hard enough then through the dashing sensor we get a message via GSM, flame sensor is used in the system to detect flame or smoke coming out of the engine due to overheating or whenever a car catches fire in an accident. Tilt sensor is used detect the position of the driver while driving, if driver is falling asleep, he/she tends to face downwards or upwards, if the position of driver changes from the range of standard position, then relay installed in system gets triggered and the buzzer gets turned on and it makes sound in order to wake or alert the driver. To overcome the accidents due to the above causes we are creating a project to make lives aware and secure.
A Novel Intelligence System for Accident Prevention, Detection, and Reporting System for Smart City
Techno-Societal 2016, International Conference on Advanced Technologies for Societal Applications ; 2022 ; Mumbai, India December 09, 2022 - December 10, 2022
Techno-Societal 2022 ; Chapter : 18 ; 175-181
2023-11-19
7 pages
Article/Chapter (Book)
Electronic Resource
English
Fatal Accident Reporting System
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