Researchers from the University of Tartu helped Nõo Meat Factory implement AI-based quality control

In the food industry, where production lines can move at speeds of up to 80 packages per minute and products are frequently changed, many errors can go unnoticed by the human eye. During the AIRE demo project, a solution was tested at Nõo Meat Factory under the leadership of Ardi Tampuu, lecturer of artificial intelligence at the Institute of Computer Science. The system uses real-time video from two 8MP cameras and machine vision technologies to automatically detect defects—such as missing or incorrect dates, labels, and products, as well as empty or incorrectly assembled packages.

The system significantly reduces the amount of defective products and labor costs, while increasing the reliability of the production process. The project confirms that artificial intelligence has real value in industrial digitalization and that collaboration with researchers can lead to the development of practical and impactful solutions.

Watch the video: