Visual inspection of cut vegetables, dried fruits, and almonds.
Detection of abnormalities that color sorters could not identify, such as food crop decay, insect damage, pinholes, chips, scratches, and shape defects, is also possible!
Our "Appearance Inspection Solution TESRAY G Series" conducts inspections using AI during the brief moment when the inspection target falls through the air, allowing for the expulsion and sorting of defective items before they land. By enabling AI to learn the concept of the inspection target, we can detect abnormalities that traditional rule-based technologies could not identify. 【Examples of detectable abnormalities】 Cut vegetables: - Decay (items with colors similar to normal parts) - Insect damage - Shape defects, etc. Nuts abnormalities: - Shape abnormalities due to underdevelopment - Very small pinholes caused by insect damage - Insect residue (remnants or secretions from insect damage) Dried fruits and other dried items abnormalities: - Surface mold - Foreign matter contamination from similar plants, etc. - Localized deformation due to insect or mold effects 【Ability to aggregate detected defects】 - Detected abnormalities can be aggregated by type of defect. This allows for feedback of information to the supplier. 【Ability to adjust yield rates】 - Abnormalities can be categorized by level, allowing for decisions on whether to expel items based on level, thus enabling yield rate adjustments.
- Company：ロビット
- Price：Other
