Fujitsu has developed a new AI-powered inspection device that determines the fat content of frozen albacore tuna with unprecedented speed and accuracy. Replacing the traditional practice of slicing and thawing tuna tails for human evaluation, the technology uses ultrasonic waves and artificial intelligence to analyse the internal marbling of the fish without causing damage.

The system scans each tuna from four angles, generating waveforms that an AI algorithm interprets to assess fat levels. Results are displayed in seconds with labels such as 'highly marbled' or 'low fat', dramatically reducing the time required compared to manual inspection. While visual assessment typically takes around a minute, Fujitsu's device completes the process in just 12 seconds.

Developed in partnership with Tokai University and with support from machinery firm Ishida Tech, the device promises greater consistency and the ability to inspect every fish in a catch, something previously considered too labour-intensive. Scheduled to launch in June, it will be priced between 30 million and 35 million yen (Pound 160,000-Pound 187,000). Fujitsu aims to expand the system to evaluate additional species like yellowfin and bonito, and to assess freshness and texture in future updates.