[AI Image Inspection Case] Metal Etching and Circuit Pattern Printing
Detecting and classifying defects through object recognition! Utilized for applications such as fully automated systems using an XY stage.
We would like to introduce a case study on AI image inspection related to metal etching and circuit pattern printing. DeepSky can classify and detect defects. It can also provide the number and coordinates of each defect. In actual operations, DeepSky is used to perform continuous inspections as an aid to visual inspection, while also allowing for manual slow movement for visual checks or complete automation using an X-Y stage. 【Software and Equipment (Excerpt)】 ■ Software Used: DeepSky (Learning Version) ■ Field of View: 30×20 to 60×40 mm ■ Minimum Size of Inspection Target: 0.2 mm ■ Number of Inspection Points: Entire screen (assuming detection of approximately 1 to 100 defects) ■ Camera Resolution: 1.3 million pixels *For more details, please refer to the related links or feel free to contact us.
basic information
【Other Software and Equipment】 ■Lens focal length: 25mm ■Distance between lens and product: approximately 100mm ■Lighting: Coaxial incident lighting ■Distance between lighting and inspection item: 50mm *For more details, please refer to the related links or feel free to contact us.
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For more details, please refer to the related links or feel free to contact us.