Elaboración de un módulo de video vigilancia con inteligencia artificial.

Abstract

This project addresses the creation of a video surveillance module that uses artificial intelligence to improve both event detection and efficiency in the surveillance of spaces. A system was developed that combines video cameras with AI algorithms to identify patterns, recognize faces and objects, and alert about risk situations in real time. The research focuses on the implementation of deep learning techniques and neural networks to achieve a more advanced and effective video surveillance system. Nowadays, security systems have made great technological advances in which it is noteworthy that certain parameters such as the physiognomy of each person who has got common elements such as glasses, mask, whether they be a woman or a man, boy, girl in different places as a security measure are recognized by the cameras or also known as video surveillance. In this case to develop a communication language with the XVR recorder is a security system with the camera and the computer which allows the entry through parameters to authorize the access of people or visitors who are registered and those who are not included in the command of the AI assistant. Finally, images are included to proceed to perform the command of entry to eligible and ineligible personnel, which will be placed in the internal storage of the recorder for its proper function with the artificial intelligence system.