AI-Powered Smart Biker Safety and Monitoring Platform

Abstract: Accidents causing severe injuries are mostly caused by two-wheelers, with inadequate response to emergencies being another issue here. Several factors cause this problem, including failure to wear helmets, accident monitoring, and reporting. Conventional approaches to solving this problem rely heavily on human intervention such as human-based monitoring and rider vigilance. It may be insufficient in case of emergencies.

In this context, AI-Based Smart Bike Safety and Accident Detection System Using IoT and Deep Learning will be proposed. This approach uses Artificial Intelligence to monitor helmet use, detect any accidents, track location and provide alert when necessary. Helmet detection is used to ensure that the rider is using the helmet before operating the motorcycle. Sensor detection detects the occurrence of accidents through the detection of collision, tilt, and stationary. In case of an accident, the system notifies people and gives the location of the accident.

This paper discusses the implementation of AI-based smart bike safety and accident detection system.

Keywords: Smart bike safety, helmet detection, accident detection, IoT, deep learning, GPS tracking, emergency alert system, rider safety.