[AI Image Inspection Case] Oden Ingredient Detection
Inspecting whether the ingredients for oden are properly placed in the container using AI!
We received an inquiry from a food manufacturer. In the process where the operator adds ingredients one by one, we check through image inspection whether the oden ingredients are properly placed in the container. Since daikon is added first, there is no risk of forgetting it, so we will verify the other four types: chikuwa, konnyaku, tsukune, and egg. We trained DeepSky on the four types of ingredients: chikuwa, konnyaku, tsukune, and egg, and set it up so that it is considered OK if it detects one of each. There are times when detection fails if the target ingredients are hidden, but it was generally able to detect them when more than half of the ingredients were visible. 【Software and Equipment Used】 Software Used: DeepSky Field of View: Approximately 163 x 130mm Minimum Size of Inspection Target: 40mm Number of Inspection Points: 4 Camera Resolution: 1.3 Megapixels Lens Focal Length: 12mm Distance Between Lens and Product: 330mm Lighting: Indoor lighting
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