[AI Image Inspection Case] Rice Ingredient Presence Inspection
The AI image inspection software detects and evaluates the ingredients of fried rice (egg)!
A sample product has arrived from the frozen food manufacturer. It has been considered difficult to inspect food items due to their unstable shapes. The AI (deep learning) inspection software DeepSky can demonstrate its strengths against various shapes of parts and defects, and it is easy to set up. Please try the "DeepSky Learning Service." 【Inspection Settings and Results】 We were able to determine the presence or absence of ingredients (eggs) in room temperature fried rice. Although there were some false detections because we could not create an image with the eggs perfectly removed, there was a clear difference in the quantity detected between the presence and absence of eggs. In this verification, we are judging OK/NG based on the premise that there may be some false detections; if the quantity found is small, it is NG, and if it is large, it is OK.
basic information
【Software and Equipment Used】 Software Used: DeepSky Learning Edition Field of View: Approximately 278 x 223 mm Minimum Size of Inspection Target: 5 mm Number of Inspection Points: 1 location to find eggs from the entire screen Camera Resolution: 1.3 million pixels Lens Focal Length: 8 mm Distance Between Lens and Product: Approximately 370 mm Lighting: Indoor Fluorescent Light
Price range
Delivery Time
Applications/Examples of results
For more details, please refer to the related links or feel free to contact us.
