Sorting potatoes with AI
Karevo's AI-powered optical recognition system can sort up to 10 tons of potatoes per hour with 95% accuracy. The founder's journey took him from a potato farm to the Technical University of Munich (TUM) and ultimately to his own startup.
Karevo, a startup founded by Benedikt Keßler, has developed an AI-powered optical recognition system for sorting potatoes. The technology can process up to 10 tons of potatoes per hour with 95% accuracy, identifying damage, foreign objects, and seven defect types. Keßler, who grew up on a potato farm, knew the challenges of manual sorting firsthand.
His project began as a master's thesis at the Technical University of Munich, where he collaborated with co-founders Johannes von Wittke and Felix Beck. The system's modular, compact design makes it affordable and easy to maintain for small farms, a common issue with existing sorting machines. The AI model was trained on over 100,000 images to adapt to various conditions and potato types.
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