Desarrollo de un sistema de seguridad para controlar el encendido de un vehículo subcategoría L3, basado en un método de autenticación por reconocimiento facial

Abstract

The theft of subcategory L3 vehicles is one of the crimes that has grown very considerably in recent years, mainly due to the fact that their security systems are incipient and/or are not always effective, which makes them very vulnerable vehicles. In addition to being targets for robberies, they are also used as tools to carry out other criminal acts, thanks to the high speeds that can be achieved, their ease of maneuverability and the speed with which these vehicles can be boarded or abandoned. Although anti-theft security systems for motorcycles already exist, it has been detected that they are easily breached by criminals due to their exposure and their type of construction, which is almost always mechanical. Thus, we have the locks on the discs or the locks on the steering wheel; the same ones that present no challenge to criminals. This situation is a reality that requires the implementation of a highly innovative anti-theft security system that takes advantage of technology; making use of facial recognition authentication techniques for the recognition of the owner or other authorized persons. To achieve this, a Raspberry Pi microcomputer will be used, in which a programmed neural network will be trained and a database created using the "Python" programming language will be hosted. The trained and programmed neural network will allow the validation of the user, comparing the detected face with the database and thus allowing the vehicle to start or deny it. In its design, various climatic and lighting factors of the environment will be considered, which will allow to demonstrate the effectiveness of the system, and its behavior in the different conditions, in order to achieve an effective result and emphasize its effectiveness of operation. The trained and programmed neural network will allow the validation of the user, comparing the detected face with the database and thus allowing the vehicle to start or deny it. In its design, various climatic and lighting factors of the environment will be considered, which will allow to demonstrate the effectiveness of the system, and its behavior in the different conditions, in order to achieve an effective result and emphasize its effectiveness of operation.