Diseño de un prototipo basado en inteligencia artificial para la detección del uso de celulares en conductores

Abstract

Abstract: The objective of this research is to contribute to the reduction of road accidents, associated injuries and deaths. For this, a system is developed based on algorithms artificial vision that allows to detect accurately and in real time the improper use of mobile devices by drivers on the move. This methodology seeks improve road safety by identifying irresponsible behavior that may generate distraction and put the safety of pedestrians at risk. The system uses the YOLO algorithm for real-time detection, being flexible to various driving scenarios, lighting variations and road conditions. When cell phone use is detected, the system emits an audible alert and sends a text message to the owner of the vehicle, informing about the behavior detected. During the development of this research, an analysis of the precision, time response and effectiveness of the algorithm in different conditions. The results demonstrate the reliability and effectiveness of the system, providing an intuitive and efficient for the end user.