The TOMRA 5C premium sorter has won the machine category award in the prestigious annual Japan Food Journal Awards.
Mr. Eizo Oda, Chairman of the Japan Food Distribution Association, presented the prize yesterday afternoon to TOMRA Processed Food’s Regional Sales Director for the APAC region, Steven Van Geel, at the official awards ceremony at the Daiichi Hotel in Tokyo, where the guest of honor was Mr. Tetsuro Nomura, Japan’s Minister of Agriculture, Forestry and Fisheries.
Now in their 25th year, the Japan Food Journal Awards spotlight products that support the development of the food industry through innovation. Judges look for contributions to creating new food products, cost reductions, and improved manufacturing efficiency. The TOMRA 5C optical sorter won the Machine Award because it sets new industry standards in accuracy, efficiency, and ease of use by employing digital tools and AI technology.
The Awards’ machine category is open to food-related machines, robots, equipment, and software. There is also a category for packaging containers and materials, and another for food additives, flavors, and raw materials. The judges’ panel comprises six senior executives from Japan’s food industry and the President of The Japan Food News.
A combination of sophisticated detection technologies
The TOMRA 5C was introduced this June to Japan and other markets in the Asia Pacific region after first being rolled out across Europe and the USA. Initially tailored to sorting dried fruit and nuts, this machine was calibrated for sorting frozen vegetables and fruit. It delivers unrivaled sorting accuracy by combining industry-leading sensors and high-resolution lasers with TOMRA’s unique Biometric Signature Identification (BSI+) technology, AI machine learning, and big-data analysis.
With BSI+, every object passing down the processing line is assessed for color, shape, and biological characteristics. By looking inside materials with next-generation spectral imaging, BSI+ clearly contrasts good and bad materials and can detect smaller defects than conventional spectral technology.
Big-data analysis is made possible by connecting the TOMRA 5C to the cloud-based data platform TOMRA Insight. By accessing live data from the sorter, operators can make almost instant improvements to line efficiencies. And by accessing data retrospectively, it becomes possible to quantify the standards of raw materials from suppliers and to make better-informed business decisions.