[This article belongs to Volume - 55, Issue - 02, 2023]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-26-07-2023-02

Title : SMART SENSORS BASED VEHICLE SAFETY WITH AUTO ALERT USING WIRELESS NETWORK
K Avinash Babu1, G Eswara Rao2

Abstract :

The most vulnerable groups to falling asleep behind the wheel include shift workers, business car drivers, and truck drivers. The majority of collisions are caused by intoxicated drivers. Since the business owner is held accountable, the burden falls on them. It can result in financial loss. We demonstrate an adaptive driver and business owner alert system in this presentation, together with an application that informs the business owner about their driving habits. The two main factors that cause serious accidents that result in injuries, fatalities, and property damage are alcohol use and drowsiness. We recommend a system that makes use of a variety of sensors to address this issue. These sensors are utilised for seat belt monitoring, drowsy driver detection, and alcohol detection. The buzzer is used to warn the driver if they feel sleepy, their seatbelt isn't fastened, or alcohol is detected. The motor stops whenever the sensor values fall outside of the threshold value range. In an emergency, the GPS module pinpoints the location and sends this information to the designated person or person in charge of the ward through GSM. Cortex M3 will have complete control over the entire system. By warning the motorist, this technology can help to reduce serious traffic accidents.