[AI Image Inspection Case] Detection of Coating Defects
This is a case study of inspection for painted parts used in interior decoration! Our image inspection system has been adopted by various paint manufacturers.
This is a request for verification of painted parts used in the interiors of luxury cars. The increase in inquiries about "paint defects" is one example of this trend. Various paint manufacturers have adopted our image inspection technology. We offer a "simple evaluation service" free of charge, provided by our technical staff. If defects or judgments can be detected during the simple evaluation, we recommend conducting a "feasibility verification" test that simulates actual operations to evaluate processing time and judgment accuracy. Additionally, we can lend demo units free of charge, allowing users to experience the deep learning inspection software firsthand. By using DeepSky's inspection capabilities, inspections were possible. The workpieces to be inspected are conveyed on a conveyor, and one side is magnified for imaging. Adjusting the lighting when imaging painted products is a key point.
basic information
【Software and Equipment Used】 Software Used: DeepSky Field of View: Approximately 50x 40mm Minimum Size of Inspection Target: 0.3mm Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Lens Focal Length: 50mm + 5mm Close-up Ring Distance Between Lens and Product: Approximately 380mm Lighting: Linear Fluorescent Lamp Distance Between Lighting and Inspection Item: Illuminated from 90mm diagonally above the conveyor
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