Real time measurements for quality control of industrial rod manufacturing

This work proposes a fully automated approach for vision-based quality control of manufactured metal rods. The proposed approach is able to detect the features of the rod (holes) and calculate the curvature of the object versus specifications. The proposed algorithm utilizes a single mono-ocular image. Initial results show that the proposed algorithm can operate under various camera geometric setups, as well as illumination conditions and backgrounds. This methodology is capable of processing an image in less than 0.2 second, using a general purpose laptop. Thus, we provide the capability for real time processing of manufactured parts on a moving conveyor.