Diseño e implementación de un sistema de segmentación de componentes electrónicos en tarjetas electrónicas mediante visión artificial

Abstract

This contemporary project aims to demonstrate how the use of artificial vision can help students and technicians in the process of identification and segmentation of electronic components found in electronic cards. The increasing complexity of electronic card designs and the demand for more efficient production in the electronics industry have generated the increase of more effective resources for the inspection and classification of components. The research begins with the analysis of the image processing method and machine learning strategies to identify the most appropriate procedure to develop the implementation. For the development of the proposed system, the Raspberry Pi is used as a hardware platform and a camera for acquiring images of electronic cards. The validation of the system is carried out through tests using real data sets from electronic cards and finally the precision and efficiency of the proposed algorithm is evaluated in comparison with traditional methods such as visual inspection.