Cost-efficient Automated Visual Inspection system for small manufacturing industries based on SIFT

This paper presents a cost efficient automated visual inspection (AVI) system for small industriespsila quality control system. The complex hardware and software make current AVI systems too expensive to afford for small-size manufacturing industries. Proposed approach to AVI systems is based on an ordinary PC with a medium resolution camera without any other extra hardware. The scale invariant feature transform (SIFT) is used to acquire good accuracy and make it applicable for different situations with different sample sizes, positions, and illuminations. Proposed method can detect three different defect types as well as locating and measuring defect percentage for more specialized utilization. To evaluate the performance of this system different samples with different sizes, shapes, and complexities are used and the results show that proposed system is highly applicable to different applications and is invariant to noise, illumination changes, rotation, and transformation.