Diagnóstico del estado de tarjetas madre a través de inteligencia artificial y termografía

Abstract

Performing a diagnosis by equipment is approximately 2 hours in the Computronik company, taking into account the number of equipment that enters daily for its review are approximately between 10 to 15 equipment for repair, for this reason it was proposed to make a device that helps in the technical service with the diagnosis of the equipment according to the required needs. The device that will help in the technical service is made up of a Raspberry, two cameras where artificial intelligence will be applied in the main electronic devices of a motherboard and thermography, this device was suggested to reduce time in the diagnosis of the equipment, as part of its development, Python was used for the programming part with its libraries and configuration of the cameras, the necessary tests were carried out to verify its performance in the work area and verify the efficiency of the device.