(2023-02-17) Monteiro, Lucas Paiva; Santos, Alyson de Jesus dos; Santos, Alyson de Jesus dos; Costa, Jaidson Brandão da; http://lattes.cnpq.br/4553321582341998; Compto, Gabriel Pinheiro; http://lattes.cnpq.br/5432787843953143
This work consists of the development of a vision system capable of identifying faults
in printed circuit boards. The system consists of a 2MP high-speed camera, a camera
controller to receive the image and apply computational vision tools, a PLC to process
camera information and an HMI to serve as an interface for the test operator, allowing a
monitoring of results and control of the camera trigger and reset of post-shift information. The
vision system is composed of the camera and the controller and works applying computer
vision tools, in this work we use a self-learning pattern identification tool that allowed us to
obtain a higher quality degree in the test results from a group of images.
