SMART SAFETY: AI SEAT BELT MONITORING & DROWSINESS DETECTION

This research introduces an innovative Smart Safety system that integrates artificial intelligence (AI) technologies for enhanced driver and passenger safety. The focus of this system lies in AI Seat Belt Monitoring and Drowsiness Detection. By employing advanced sensors and machine learning algorithms, the system ensures the proper usage of seat belts and monitors the driver's alertness level. The AI Seat Belt Monitoring component employs to detect whether the seat belt is fastened securely. In the absence of proper seat belt engagement, the system triggers safety protocols, preventing the vehicle's engine from starting. This feature aims to reduce the likelihood of accidents and injuries by promoting responsible seat belt usage. The Drowsiness Detection aspect utilizes sophisticated algorithms to analyze driver behavior and physiological indicators. In the event of identified drowsiness or fatigue, the system activates alerts to prompt the driver to take necessary breaks, thereby mitigating the risks associated with impaired driving.

The seamless integration of AI Seat Belt Monitoring and Drowsiness Detection not only enhances vehicular safety but also contributes to a proactive approach in accident prevention. By combining state-of-the-art technologies, this Smart Safety system represents a significant step forward in leveraging AI for creating a safer and more responsible driving environment.

Keywords: Seatbelt, Drowsiness Detection, Deep learning Network, CNN layers, Seat belt and Drowsiness Dataset.