The Fuzzy Control of LED Lights in Machine Vision System

With the vast applications of artificial intelligence technology in industrial manufacture domains, lots of machine vision system are used in the fields. Due to different lights conditions on different sites, it costed many times to adjust the machine vision system to a good performance. To decrease the adjustment time a fuzzy control method to automatically adjust the lights illuminance was proposed. In the method the industrial camera captured image was set as the control target. And the real-time quality assessment of the image was designed with the combination of objective method and subjective method. The lights illuminance of the machine vision system was automatically adjusted using the fuzzy logic to get qualified image satisfying the post image process requirements. The fuzzy logic was designed and verified using Matlab and the whole approach was practiced in a machine vision training device. The whole approach was proven feasible and provided valuable reference to the similar engineering applications.