[AI Image Inspection Case] Determining Gear Chipping

The AI image inspection software will determine the chipping of gears!

We received an inspection request from a manufacturer of production equipment. The inspection is for determining the chipping of a metal product, specifically a "gear." They sent us images of 20 defective items and 5 acceptable items. For some workpieces that are difficult to send as samples, verification can sometimes be done through photographs. 【Inspection Settings and Results】 Using DeepSky's inspection function, we were able to accurately determine the chipping of the metal workpiece (gear). The process of setting up the areas to be detected by enclosing them in rectangles is called annotation; in this case, we only enclosed the defective parts for training. The images show the detection frames. The numbers indicate the AI's confidence level percentage (number of recognition points). If the number of recognition points is low or if there are misjudgments, further training can be conducted. DeepSky, released in 2020, is easy to set up, does not require fixed positioning, can detect various types of defects in shapes, and is particularly good at detecting defects in shiny workpieces like metal products. We have reported numerous evaluations of metal product inspections. 【Software Used】 Software Used: DeepSky Learning Version Number of Inspection Points: 1 (detecting defects from the entire screen)

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