{"id":4037,"date":"2024-10-23T16:02:18","date_gmt":"2024-10-23T14:02:18","guid":{"rendered":"https:\/\/cim-atlantique.com\/chicken-wings-and-sleeves-inspection-system\/"},"modified":"2024-10-24T11:05:51","modified_gmt":"2024-10-24T09:05:51","slug":"chicken-wings-and-sleeves-inspection-system","status":"publish","type":"page","link":"https:\/\/www.cim-atlantique.com\/en\/chicken-wings-and-sleeves-inspection-system\/","title":{"rendered":"Chicken wings and sleeves inspection system"},"content":{"rendered":"

Deep learning industrial vision for the food industry<\/b><\/p>\n<\/div>

<\/div><\/div>

Deep Capture enables the identification <\/b>and detection <\/b>of multiple defect classes in real-time at a rate of approximately 5,000 pieces per hour<\/b>.<\/p>\n

The deep learning industrial vision system is integrated on a conveyor at the output of an aerial cutting and deboning system.<\/p>\n<\/div>

Examples of detected defect classes include<\/b><\/p>\n<\/div>

Bruises & hemorrhages<\/span><\/a><\/div><\/div><\/div>
Presence of whip marks<\/span><\/a><\/div><\/div><\/div>
Presence of feather(s)<\/span><\/a><\/div><\/div><\/div>
Identification of broken bones<\/span><\/a><\/div><\/div><\/div>
Improperly deboned sleeves<\/span><\/a><\/div><\/div><\/div><\/div>

<\/span><\/p>\n

The complexity of the task lies in the variability of<\/span> product shapes<\/span><\/b> and <\/span>appearances<\/span><\/b>, as well as the fact that certain defects are subject to interpretation.<\/span><\/p>\n<\/div>

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