TOMRA Food treated visitors to its stand at Fruit Logistica Berlin last week (Berlin, 8-10 February) with 3D footage of its sorting, grading, and packing solutions in action, and gave a presentation on the event’s Tech-Stage.
The company illustrated how the food industry can benefit from Artificial Intelligence (AI) and machine learning. TOMRA Food showcased solutions from both its business areas, TOMRA Fresh Food and TOMRA Processed Food.
Fruit Logistica is the world’s leading fresh produce industry event. Held annually at the Berlin ExpoCenter City, it typically attracts more than 40,000 trade visitors from over 120 countries.
Three-dimensional footage of sorting, grading, and packing
TOMRA’s exhibition focused on four key themes: Equipment efficiency and optimization through product solutions; innovation, most recently through Artificial Intelligence and the TOMRA Insight data platform; the voice of the customer, sharing customer case studies and highlighting how TOMRA puts customers’ needs at the heart of everything it does; and TOMRA’s commitment to working with key partners in many regions around the world.
In fact, TOMRA’s stand adjoined that of its integrated business partner ICOEL, which designs and manufactures fruit handling, processing, and packaging equipment.
The sophistication of TOMRA’s solutions could clearly be seen on the large, 2.2 meters-tall and 2.5 meters-wide hologram machine.
This showed, in 3D animations and video, a wide range of TOMRA’s solutions: the TOMRA 3A, TOMRA 5A, TOMRA 5B, TOMRA 5C, and TOMRA 5S Advanced sorters; the Cascade Singulator for cherry singulation; the CURO-16 small-fruit packing system; the KATO precision grading system for blueberries; the world’s most powerful fresh produce grading platform, Spectrim, with the UltraView inspection module; and the Inspectra² internal inspection system.
TOMRA’s stand also showed publicly for the first time its Adaptive Rate Controller for large fruit, and the next-generation user interface for Spectrim and for the InVision 9.0 Small Fruit Sorter for cherries. The Adaptive Rate Controller (ARC) optimizes sorter input, using an infeed-mounted camera and pre-trained AI models to maintain consistent incoming fruit volume by continuously counting fruits on a roller elevator and autonomously adjusting infeed speed.
Spectrim 5.0 is even easier to use than its predecessor, enabling the same grade rules and outcomes to be achieved with half the cutpoints, and has new algorithms which further improve blemish tracking, sizing, and grading.
Speech highlights the value of data and AI
On the second of Fruit Logistica’s three days, TOMRA Fresh Food’s Head of Innovation, James French, gave a 45-minute presentation on the event’s Tech-Stage. This opened by asking: “What sort of impact will Artificial Intelligence have on the food industry?” and concluded by reviewing what difference AI can make to day-to-day operations.
James reminded the audience that AI is essentially the ability of computers to mimic human thought and decision-making and that machine learning is a key AI technique made possible by a combination of software algorithms and data.
AI is well-suited to food processing because sorting and grading machines are rich sources of data – and because these machines have to solve complex optimization problems while responding to the impacts of seasonality and variable crop quality.
AI is already employed in some of TOMRA’s sorting and grading solutions, and is set to become increasingly important as a way of improving operational efficiency, reducing food waste, and maximizing value.
Source: TOMRA Food
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