Super resolution based low cost vision system

Machine vision (MV) is the technology which provides camera based analysis of images for various applications such as automatic quality inspection, pattern recognition, process flow control and pattern classification. The machine vision system is expensive as it contains high resolution camera and lenses. The paper proposes an algorithm to develop a low cost web camera based vision system for screw thread inspection. The Bayesian super-resolution method is used to super-resolute the images captured using low resolution web cameras. The parameters such as major, minor and pitch diameters, depth and thread angles are measured by using the proposed dimension measurement method. The results of web camera based automatic inspection of major diameter, minor diameter, pitch diameter, thread and depth of hex lag screw thread shows an error of range 0.000 to 0.310 mm. The comprehensive experimental results reveal that the proposed approach is suitable for real-time high speed quality analysis in various industries.