Red kidney beans, plump and round, are an excellent ingredient for making porridge, fillings, and processed red bean products. But there is one defect that processing plants find most troublesome – wormholes in kidney beans. These wormholes are tiny, with a color nearly identical to that of sound beans. Traditional color sorters, which rely solely on color differentiation, are almost powerless against such "normally colored but defective" wormhole beans. The AI Deep Learning Color Sorter is designed specifically to tackle insect damage in beans. Sorting Made Easy in Four Steps – Wormhole Beans Have No Place to Hide Step 1: Feeding Red kidney beans are poured into the hopper. The vibratory feeder evenly spreads the material, allowing it to fall smoothly into the sorting channels. Step 2: Imaging High-definition lenses scan each bean one by one, with a minimum resolution of 0.015 mm. Wormholes and insect-bored holes are all captured. The system looks not only at color but also at shape and surface texture – this is the key to distinguishing "sound beans" from "wormhole beans." Step 3: Judgment The built-in deep learning algorithm automatically analyzes each bean without requiring manual parameter adjustments, completing the decision in milliseconds. The system continuously evolves during operation – the more it sorts, the more accurate it becomes. Step 4: Rejection The high-speed nozzle system responds precisely, instantly blowing wormhole beans into the reject channel. Traditional color sorters look at color; AI color sorters look at substance. Small as they are, wormholes make a big difference. The AI Deep Learning Color Sorter eliminates the "wormhole blind spot" in red kidney bean sorting – ensuring every finished bean is pure and reliable. HAWIT Technology – Making Sorting Smarter, Making Food Safer.