Programa OpenCV Python para detección de vehículos en un cuadro de video

Abstract

Traffic congestion is a growing problem on Colombia's streets and highways Current transportation management systems are not sufficient to improve urban mobility. To improve urban mobility, it is necessary to implement transport management systems that are more comprehensive and take into account factors such as transport demand, road infrastructure, road safety, and environmental sustainability. These systems must use intelligent technologies to collect data, analyze it, and make decisions in real time. For this reason, the present project describes the development process of a program capable of detecting and tracking vehicles in a video frame, allowing the identification and analysis of vehicle movement patterns. The proposal will be developed using Python® software and OpenCv library which will be based on visual computing for image processing, will have a development time of 6 months with a cost of $ 20,800,000 which will be divided into the cost of personnel, equipment and software acquisition. It will be presented as a monograph.