[AI Image Inspection Case] Die Casting 0.5Φ Casting Pores and Scratches
Detect defects in die-cast products with AI image inspection software!
We inspected die-cast products using a software called DeepSky, which utilizes AI (Deep Learning). By training the software on the areas we want to detect, it adjusts its own settings and learns to recognize them. This time, we are assuming an operation where all items on the conveyor are inspected using DeepSky. 【Inspection Settings and Results】 This inquiry also came directly from an end user. Since our company does not sell industrial equipment like conveyors, we ask customers to purchase through a vendor. The left image shows the annotation process, where we outline the defective parts we want to identify. The right image displays the detection frames of the inspection results. The numbers indicate the confidence percentage of the AI based on the number of recognition points. 【Software and Equipment Used】 Software used: DeepSky Field of view: Approximately 46×37 mm Minimum size of inspection target: 5 mm Number of inspection points: 1 Camera resolution: 1.3 million pixels Lens focal length: 50 mm + 5 mm close-up ring Distance between lens and product: Approximately 430 mm Lighting: Indoor fluorescent lights
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