Bikers Condition Recognition System Powered by ML

Vasu Kumar

Abstract


This study discusses a new method for identifying and monitoring the safety of two-wheeler drivers. The Extreme Learning Machine Algorithm-based Driver Condition Recognition (ELMA-DCR) is suggested to identify three factors such as alcohol consumed by the driver, accident detection, and overweight detection (more than two persons). An alcohol sensor identifies the intoxicated driver, an accelerometer determines the accident, and a strain gauge determines whether or not the car is overloaded. The controller is connected to a communication device, which transmits the data to a specific recipient. In convolution a, the architecture of square pooling is utilized.

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Impact Factor : 

JCR Impact Factor: 5.9 (2020)

JCR Impact Factor: 6.1 (2021)

JCR Impact Factor: 6.7 (2022)

JCR Impact Factor: Under Evaluation (2023)

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