Desarrollo de un sistema inteligente para la identificación y trazabilidad de placas electrónicas en procesos de reciclaje

Abstract

Within Block C, the problem of recycling electronic computer boards that have been reported as out of service or have reached the end of their working life has been identified. Although there is currently no correct way to classify and store this specific type of electronic waste, the university has attempted to implement recycling systems. Several institutional-level projects have been carried out in each of the areas that make up the Salesian Polytechnic University, Quito South Campus, without obtaining effective results. Many proposals have been put forward by the engineering departments to contribute to recycling at the institutional level. The proper management of waste, such as computer boards generated by each of the departments, has not yielded positive results due to the lack of an efficient and optimal system that prevents users from mixing all types of waste, resulting in poor control of the waste and preventing it from being recycled or reused in remanufacturing processes. For this reason, the project detailed below in this document seeks to propose a recycling system using convolutional neural networks and learning and prediction techniques for the recognition of computer circuit boards, not only identifying them, but also extracting all the traceability information from this electronic component to keep detailed track of the product's journey and then pass it on to a storage system which will collect them so that the company responsible for processing the out- of-service boards can come and remove them when the container is at maximum capacity.