Automated Meat and Poultry Inspection
Automatically grade meat and poultry to ensure correct pricing
Graphical programming environment for deep learning-based industrial image analysis
Organic meats and poultry are premium products sold to discriminating customers, but they are still packaged in large volumes with automation machinery. The label on the cut of meat or poultry part must be accurate. Accurate classification also ensures that the appropriate price is charged for each cut. Industrial packaging still suffers from the possible inclusion of physical contaminants.
Organic meat and poultry vary more in size, color, and other aspects than factory-raised products because of the range of ways in which they are raised and slaughtered. These variations in appearance make it difficult for conventional machine vision to accurately solve visual meat classification applications, particularly when they have already been packaged with a wrap containing a visually confusing logo with printing on it.
X-ray scanning can find metal contaminants, but plastic or polystyrene foam must be identified visually. Given their random appearance and location, conventional machine vision often misses such contamination.
Cognex AI-based vision systems and software are an effective solution for meat quality inspection. They train on labeled sets of images of each meat cut or poultry part. The classification tool will then accept the range of natural variation while accurately classifying each piece, ensuring that no part is graded lower than it should be, so the product can be sold at the highest fair price.
The defect detection tool quickly spots any bits of physical contamination, whether from damaged packaging, machinery, or other sources and flags them before the product moves on to shipping. This ensures that all cuts shipped are classified and priced correctly, improving both customer satisfaction and revenues.