Implementación de un robot inteligente capaz de reconocer señales de tránsito mediante el uso de inteligencia artificial

Abstract

Abstract:The purpose of this research work is the development of an intelligent robot capable of detecting traffic signals through an artificial intelligence process which will be in charge of detecting traffic signals (STOP, Turn Signals and Traffic Lights) through the use of a microcontroller and Python programming language with the Open CV library through its detection protocol based on the Haar-Cascade algorithm; this algorithm as a machine learning based approach where the cascade function is trained from many positive and negative images. It is then used to detect objects in other images.On the other hand, programming will be used which will allow activating the camera to obtain images of the environment. Depending on the signal found or if no signal is found, the signal that is sent for motor control is determined. The most important part is the image processing since it is through this that the object is detected. Haar similarity features are used for object detectio.