Abstract
In many production systems, the products are inspected by human operators who observe faults with their naked eye while most of the other manufacturing activities are automated. However, manual inspection is slow and yields subjective results. To defeat this problem, image processing based visual control systems have been integrated to the production systems. The visual system performance depends on the robustness of the image processing techniques. Especially, the thresholding technique plays crucial role if you are inspecting scratches on the products. Since utilizing the constant threshold fails in many cases, we have proposed an adaptive thresholding technique based visual inspection system to detect production faults rapidly and efficiently without hampering the manufacturing process. The proposed visual system also includes rotation invariant properties, which is important to get high speed processing.