Diseño e implementación de un prototipo de identificación de uso de casco en motociclistas

Abstract

One of the main causes of millions of deaths per year worldwide is undoubtedly traffic accidents, and motorcyclists are the most vulnerable users. Even though the use of safety helmets reduces mortality, the figures increase every year. Specifically in underdeveloped countries, the number of deaths is higher (1). To reverse this problem, it is important to implement innovative technologies such as artificial intelligence in prototypes designed to identify individuals who do not wear helmets and thus corroborate with road safety agents to apply the respective sanctions and thus improve road safety. Therefore, the main objective of this project is to design and implement a prototype to identify the use of helmets by motorcyclists. The project is based on the training of a model based on the image recognition pattern using Google's tactile machine tool, the implementation of the model inside a Raspberry computer and the integration of a camera. This technology allows identifying helmet use in motorcyclists in real time.