Cylindrical pot surface defect detection method and system, controller and industrial personal computer

Abstract

The invention discloses a cylindrical pot surface defect detection method, which comprises the following steps of: fixing a product to be detected on a rotating device, and enabling a detection surface of the product to be detected to be positioned on a focal plane of an area-array camera to synchronously rotate along with the rotating device; driving coaxial light source equipment to provide illumination for the to-be-detected product; driving the area-array camera to carry out image acquisition on the surface of the to-be-detected product to generate a target image; driving the industrial personal computer to recognize the target image so as to extract feature information of the target image; and driving the industrial personal computer to carry out dimension reduction and classification processing on the feature information so as to identify the defects of the to-be-detected product. The invention further discloses a controller, an industrial personal computer and a cylindrical pot surface defect detection system. By adopting the method, the classification of the surface defects of the high-brightness reflective metal cylindrical pot can be accurately completed.

Description

technical field [0001] The invention relates to the technical field of metal surface defect detection, in particular to a cylindrical pot surface defect detection method, a controller, an industrial computer and a cylindrical pot surface defect detection system. Background technique [0002] Pot-type kitchen utensils need to be polished and sanded to keep the surface beautiful and durable. In the production process, the irregular polishing operation is prone to defects such as scratches, concave deflation, wavy wrinkles, etc., and the sanding process can easily lead to dragging. The appearance of surface defects such as flowers, wrinkled bottoms, and browning. In the current production process, the surface defect detection of cookware is generally completed by manual visual inspection. The detection efficiency is low, and it is easily affected by subjective factors and missed inspections. It is no longer suitable for the small batch and customized production of products in t...

AI Technical Summary

Problems solved by technology

Therefore, when testing with a visual inspection system, it is necessary to adapt to cylindrical pans with different curvature specifications and heights. Especially after polishing and sanding processes, the surface defects of metal cylindrical pans are complex and diverse, and the scratch defects are subtle. The scratch detection accuracy is required to be 50% More than micron, the specular reflection on the surface of the pot body is very obvious, which will easily cause the image acquisition system to be seriously affected by ambient light

At present, when detecting surface defects on cylindrical pots with different calibers, the combination of line-scan cameras and line light sources is usually used to extract the surface features of the cylinders, which can avoid the uneven lighting of the detection area, but the linear When detecting cylindrical products, the scanning camera needs to stitch multiple images to realize the collection of complete cylindrical images. The image acquisition cycle is long and the efficiency is low, and the line scanning camera is expensive. The pits and protrusions in the collected cylindrical surface area It is not obvious, and it is easy to miss the obvious defect area with abnormal shape of the cylindrical surface, which increases the missed detection rate and false detection rate of the detection

Therefore, the visual inspection solution combined with a line-scanning camera and a line light source cannot meet the needs of fast and accurate online detection, and has never been practically applied in the production line of cylindrical pots.

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