Implementación de un sistema de comunicación inalámbrico para la identificación y búsqueda de automotores integrables a una red de video vigilancia utilizando visión artificial.

Abstract

The objective of the research was to implement a wireless communication system for the identification and search of cars that can be integrated into a video monitoring network using artificial vision. By the bibliographic review of the video monitoring systems over the internet protocol (IP) with automatic recognition applications of existing boards, a wireless network system with star topology was designed to automatically captures the license plates of the cars. The system was implemented through the image processing stage that consists of a camera, two sensors, and a development card, which interact through the Python language. The data transmission stage uses two antennas to send the information under the IEEE 802.11 (Wi-Fi) standard. The monitoring stage receives the information sent by the file transfer server (FTP) and is hosted on a Web server that is sent over the internet. The proposed prototype issues an email to a previously defined Unidad de Policia Comunitaria (UPC) when a car theft is recorded. A Web page was developed in CPANEL under the PHP language, where different levels of users can access to register and monitor the information generated. An experimental review was carried out to validate the operation of the wireless network system with ten samples. It was found that the prototype has no errors in image processing and obtaining characters from the board, thus demonstrating that the implemented system is competitive with commercial equipment of similar characteristics. In the simulation its scalability up to 55 nodes without overload of the 6 Mbps link. It is concluded that the prototype is a tool to help identify and search for a car in real-time. It is recommended to extend the test period to identify possible improvements to the prototype.