Desarrollo de un sistema de seguridad y monitoreo que permita la identificación de placas vehiculares mediante visión artificial en tiempo real

Abstract

The implementation of systems based on proximity sensors and license plate identification at the entrance to parking lots and parking areas has the primary objective of improving several key aspects of user control and operation. These systems promise increased security by enabling the accurate detection of vehicle license plates, which contributes to the effective identification of unauthorized or stolen vehicles. In addition, a significant improvement in operational efficiency is anticipated by automating the entry and exit process, reducing waiting times and optimizing the flow of vehicles through checkpoints. However, this innovative approach also faces significant challenges. Effective detection of license plates in adverse conditions, such as bad weather, dirt or damage to the plates, is essential for the success of these systems, which requires advanced and sophisticated technologies. In addition, data privacy is a constant concern, as the collection and storage of sensitive information linked to vehicle license plates raises ethical and legal questions about its use and protection.