[AI Image Inspection Case] Appearance Inspection of Chinese Cabbage
We will conduct an appearance inspection of cabbage using AI image inspection software!
The introduction of appearance inspection systems is rapidly increasing even among food manufacturers. It has been considered difficult to conduct appearance inspections due to unstable shapes, but we expect inquiries to continue to rise due to technological advancements and labor shortages caused by population decline. It is our mission to contribute to the manufacturing industry, which is directly linked to our comfortable lives. 【Inspection Settings and Results】 A total of 31 images were used as training data, consisting of 10 OK and 29 NG samples. As shown in the left image, the areas of interest to be detected were framed and labeled by type. The label names were set as follows. There were no false detections in the judgment based on the training data. Among the 61 non-training images, there were 15 instances where NG was judged as OK. For workpieces with unstable shapes, increasing the number of training images and conducting additional learning can improve detection accuracy. 【Software and Equipment Used】 Software Used: DeepSky Learning Version Number of Inspection Points: 1 point searching for defects across the entire screen Camera Resolution: 1.3 million pixels Lens Focal Length: 12mm
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