Explore how META-aivi optimizes waste management with AI, reducing errors and avoiding contamination while enhancing the efficiency of plastic parts recycling.
In a nationwide supermarket chain, META-aivi revolutionized shelf organization by addressing challenges such as misplaced products, stock shortages, and new employee training.
Vegetable AI visual inspection with SolVision achieved 100% accuracy in artichoke orientation in just 50 milliseconds, elevating efficiency in food production.
META-aivi transforms cable inspection with AI, ensuring precision in recognition, classification, and defect detection for efficient electronics manufacturing.
META-aivi uses artificial intelligence to accurately identify size variations of the pipes instantaneously. Using the fast counting feature, all the different parts are classified and counted within seconds.
SolVision can recognize different coins despite oxidation and condition. Once trained, the AI model accurately categorizes batches of coins by denomination.
SolVision recognizes defects and categorizes eggs, enabling automated AI inspection on a fast moving production line for better food safety and quality control.
