[AI Image Inspection Case] Detection of Black Spots on Oyster Flesh and Eggs
We will conduct defect assessment of shucked oysters using AI image inspection software!
Seafood and fruits have a rough similarity in shape, but in image inspection, their shapes are not stable, and variations in size and ripeness can change their color and bulge, making them difficult to assess. Our inspection software, DeepSky, excels in inspecting items with slightly different shapes. This time, we evaluated the defect detection of shucked oysters based on an inquiry from a manufacturer that produces automation robots used in food factories. Since it is not the shipping season for oysters, the inspection was conducted using the images provided. 【Inspection Settings and Results】 Upon verifying the sample images you sent, we were able to detect eggs and black spots. The inspection was performed using software that employs AI (Deep Learning). By training the software on the areas we wanted to detect, it adjusts its own setting parameters and learns to recognize them. Our software does not only detect based on color; it also incorporates texture (surface quality) into its judgment. Additionally, there is no need for fixed positioning, allowing for detection even if multiple oysters flow on a conveyor in various positions and orientations.
basic information
【Software Used】 Software: DeepSky (Learning Version) Number of Inspection Points: One location on the entire screen (Detection of eggs and black spots)
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