[AI Image Inspection Case] Detection of Terminal Defects
The AI image inspection software detects the condition of terminal crimping and determines it as OK/NG!
We received an inquiry from a manufacturer of automotive and construction machinery harnesses. They would like to conduct inspections using our software based on a request from the client, as they cannot confirm the state of terminal crimping through image inspection. A free preliminary evaluation was conducted. In the free sample evaluation, we first perform a simple verification using the samples or images provided, and we report the verification results. The simple verification assesses whether the desired detection/judgment can be achieved using our internal equipment. If detection or judgment is possible in the simple verification, we recommend conducting a test (feasibility verification) assuming actual operation, and evaluating processing time and judgment accuracy. If feasibility verification is to be conducted, you can choose to continue with our company (for a fee) or use our loaned equipment for verification at your company. 【Inspection Settings and Results】 We conducted verification using our "DeepSky" equipped with deep learning capabilities. As a result, we were able to detect and judge each NG item. The left image shows detection frames indicating two types of abnormalities. The right image displays the number of detections that can be confirmed on the settings screen. However, in this verification, there were some instances of false judgments. Therefore, I believe it will be necessary to increase the number of verifications in the future.
basic information
【Software and Equipment Used】 Software Used: DeepSky Field of View: Approximately 49 x 39mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Lens Focal Length: 25mm Distance Between Lens and Product: Approximately 205mm
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