Object Sorting Mechanism In Manufacturing Industry By Using Computer Vision

Abstract

Various product outputs are the main cause of a poor quality and difficulty to the manufacturer. Inspection process is done on these are mostly non-automatic and very time consuming. To reduce error on identifying various product defects requires more automatic and accurate inspection process. By considering these defects, the research improve a various product defect recognizer, which uses computer vision for the defect detection. The recognizer identifies the various product defects within economical cost. In this firstly, the camera capture the digital images by image acquisition device and converts the image to binary image by local threshold techniques. Later, the outputs of the processed image are the area of the faulty portion and compute the possible defective and non –defective product as an output.