[AI Image Inspection Case] Cabbage Appearance Inspection
We will conduct an appearance inspection of cabbage using AI image inspection software.
In food manufacturing, irregularly shaped work (ingredients) is commonplace, and even minor defects or foreign matter can lead to significant accidents. This time, we have received a request for a simple inspection of food. The ongoing societal issues of a declining workforce and the aging of skilled workers show no signs of stopping, and efforts to support productivity improvement are increasingly in demand. Image inspection technology has gradually become more sophisticated. Please consider the introduction of image inspection to maintain the Japanese quality that allows us to consume safe and secure food. 【Inspection Settings and Results】 This is a verification based on the images provided. The areas of interest to be detected were enclosed in frames and labeled by type. This time, we annotated the images into four categories: "discoloration," "flower buds," "length," and "length 2." Since the verification was conducted by dividing the existing images into labeled and unlabeled data, the accuracy was not very high, but it can be inferred that increasing the sample size will improve accuracy to some extent. 【Software Used】 Software used: DeepSky Learning Edition
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