[AI Image Inspection Case] Type Identification of Metal Coated Workpieces
It is possible to make judgments using DeepSky's inspection features! It is applied to various inspections.
We received two samples of metal coatings for truck and automotive parts from a customer engaged in low-volume, high-variety production. They were experiencing issues with shipping different products due to multiple part numbers flowing through the same line. Here, we present a case study on how we conducted verification to distinguish between the two samples. Using DeepSky's inspection capabilities, we were able to make determinations. DeepSky is designed solely for inspection functions, and by integrating it with PLCs and socket communication, it can be applied to various inspections. We have made commands available for input and output, allowing customers to create their own software for free. Additionally, we can also undertake software development, but this will be a paid service. 【Software and Equipment Used (Excerpt)】 ■ Software Used: DeepSky ■ Field of View: Approximately 447×335mm ■ Minimum Size of Inspection Target: 5mm ■ Number of Inspection Points: 1 ■ Camera Resolution: 1.3 Megapixels *For more details, please refer to the related links or feel free to contact us.
basic information
【Other software and equipment used】 ■Lens focal length: 6mm ■Distance between lens and product: approximately 400mm ■Lighting: indoor lighting *For more details, please refer to the related links or feel free to contact us.
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