THREAD QUALITY IDENTIFICATION OF 2.5 MM THICK STEEL PLATE USING IMAGE RECOGNITION

Abstract

Currently, the image recognition systems in the industry for identifying the characteristics of manufactured parts are very diverse, but the quality of their recognition is most influenced not by the image recognition camera itself, since their operation is similar, but by the conditions of the environment in which the product is examined. Such as dust, vibration, lighting. To find out the influence of the illumination of the part under investigation on determining its quality, the image recognition camera used in the study was the "SICK Inspector PIM60" image recognition camera, the "YONGNUO" LED YN-160S” light source and the camera dome and filters of various colors: red, blue, green, transparent, and variable ND filter. The obtained results show that using a green camera filter and external illumination of the part from one side is the best way to identify the thread quality of the part. The results obtained show that using a green filter and external illumination of the test piece, it is possible to obtain ~100% recognition of the part and its holes dimensions quality if the part is always placed in the same place and the same lighting conditions are used.