TOMRA Sorting Solutions

Contact details

  • Romeinse straat 20
  • 3001 Leuven
  • Belgium

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About Us

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TOMRA Sorting Solutions designs and manufactures sensor-based sorting and process analytics machines for the food industry. Over 5,000 systems are installed at food growers, packers and processers worldwide.

The branch Process Analytics provides high-performance analysis equipment for the food industry specifically targeting meat, like small trim, diced and ground meat. The systems ensure an optimal quality and yield, resulting in increased productivity, throughput and an effective use of resources.

TOMRA Sorting Food is part of TOMRA Sorting Solutions which also develops sensor-based systems for the recycling, mining and other industries.

Range of services

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Nature supplies us with large variations in fat content. Even with carcass classification, cutting patterns and experienced employees, large variations in fat levels for manufacturing meat is unavoidable.


The QVision is a fat, protein and moisture analysis machine for the meat industry.


  • Consistent  product quality

  • Smarter purchasing through quality control of raw materials

  • Full quality traceability and documentation of meat batches

  • Remove lean give-away

  • Increased profitability

  • Data access with daily reports exported or integrated

  • Reduced human and sampling errors

  • Increased throughput

  • Automated and simplified process

  • Easy-to-use: minimal training required!

  • Hygienic, robust and open design



TOMRA will be introducing new and exciting technology and equipment at IFFA 2016. Through previously unavailable technology, TOMRA will bring ground breaking solutions to the meat industry. See us at IFFA for the official launch of these solutions



The QVision is a fat, protein and moisture analysis machine for the meat and seafood industry. ...

TOMRA Sorting Solutions Romeinse straat 20 3001 Leuven Belgium +32 16396396

Exhibitor at the following trade fair

IFFA 2016

07.05.2016 - 12.05.2016 Hall: 9.1 Stand: C 78