Automated Template Matching for External Thread Surface Defects with Image Processing

Artificial Intelligence is a fast-growing domain that facilitates the innovation in various fields of business and manufacturing industries. This field of Machine learning provides the automatic inspection of the manufactured products for the detection of dimensionality measurement of the products. Human visual inspection on finding imperfect dimensions at micro level scratches, dents and quantification variations of engine valve are prone to errors. Here, we propose complete automation to find conventional dimension variations of the product with the traditional machine vision algorithms. Two approaches are adopted here for Edge detection for dimension measurement from the pixel processing and template matching for the identification of deviations for the anomaly detection in the product. As a result, a new automation technique is obtained, that will be used at various levels of quality inspections for the dimensions measurement.