Diseño, desarrollo e implementación de un dispositivo IoT para la automatización de espacios de estacionamiento vehicular con visión por computador y aprendizaje profundo

Abstract

The internship report presents the design and implementation of a prototype IoT device, with the acquisition of images or videos of cameras in parking spaces, allows the training of a neural network with deep learning for the extraction of characteristics and the classification of the zones in two classes (busy, empty), with the implementation of a web application to know the real-time occupation of the parking spaces, in addition to other environmental variables and alternative energies.