Design and VLSI Implementation of DIP Based Rod Quality Inspection

The inspection of product quality in majority of cases is based on human factor because of complexities of problems of inspection and quality and demands for the changeability during decision about the quality of product. As the product comes from automated production chain to final manufacturing line its surface and edges are inspected by the stuff employed to detect the defects. In order to avoid human errors in the system, complete automation of production is required. Digital image segmentation can be a versatile, reliable and a low-cost tool for the quality identification of materials, with the potential to replace other all other costly techniques. In this paper, select different types of materials like tiles and rods, the images are acquired and calibrated. The image without defect is kept as a reference image. Then the sample which is to be tested is checked by comparing with the reference image by using techniques like Thresholding, Histograms and Spatiogram Similarity and Cell Segmentation in Matlab environment. The variation in the images shows the defect in the material. By using this system can identify the quality of the industrial materials. The same procedure can also be adopted with digital camera for the quality identification of various other industrial materials. The design based on using FPGA for the hardware implementation of the architecture using VHDL. FPGA Spartan 3E starter Kit has been used for the hardware implementation. The proposed method is an improvement over traditional software package based approaches in that of image comparison.