Fujitsu & Tokai University develop ultrasound AI tech to test quality of frozen tuna
Summary
Joint research focused on the development of novel ultrasound AI technology, resulting in the worlds first technique to measure the meat quality of frozen tuna without the need to cut or damage the product. Most wild-caught, natural tuna is rapidly frozen on board commercial fishing boats, and subsequently delivered via distributers to restaurants and supermarkets to consumers. Cutting the tail of the tuna often damages and ultimately lowers the value of the fish, and the process relies heavily on a limited number of experts trained to accurately conduct quality inspection. To address these issues, Tokai University under the lead of Professor Keiichi Goto, Department of Fisheries, School of Marine Science and Technology and Fujitsu conducted joint research examining frozen tuna with low-frequency ultrasound waves with low attenuation to inspect the freshness of the fish. By analyzing the waveforms using machine learning, the two parties successfully developed the worlds first method to determine the freshness of frozen tuna without the need to cut the product.