Sistema electrónico de control y monitorización de vehículos en caso de robo para la empresa confecciones Galar mediante visión artificial

Abstract

The present research project, an electronic vehicle control and monitoring system against theft is implemented for the company "Confecciones GALAR" using artificial vision. The system addresses the issue of vehicle security with an innovative solution that detects and monitors potential thefts on the company's premises, providing quick and efficient responses to risky situations. The implementation relies on security cameras equipped with artificial vision algorithms that automatically detect suspicious activities, especially those related to attempts to steal vehicles. The system analyzes people's behavior in the parking area and recognizes patterns associated with criminal activities. The electronic architecture of the system includes high-resolution cameras and a real-time image processing system. Deep learning techniques are used to identify and classify specific events, such as unauthorized presence near vehicles. The user interface provides real-time visualization and automatic alerts in suspicious situations. Technical aspects, such as the selection of artificial vision algorithms, hardware configuration, and effective integration into the operational environment of "Confecciones GALAR," are addressed. The system evaluation demonstrates a 95% effectiveness in simulated and real situations, highlighting its potential to reduce risks associated with vehicle thefts with a low margin of error.