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BUSINESS NEWS




          TOMRA achieves worldwide industry first with groundbreaking

          food-grade plastics sorting solution

































                 eading global sorting solu-  rate. Hygiene concerns and increasing-  today. And the degrees of purity that
                 tions  provider,  TOMRA  Re-  ly stringent industry regulations add a  this solution is achieving – upwards of
                 cycling, has  announced  the  further layer of complexity to handling  95% for the packaging applications in
                 launch of three revolutionary  food waste in recycling.         customers’ plants across UK and Eu-
          applications to separate  food-grade   AUTOSORT™  with  GAINnext™  com-  rope – will open up opportunities for
          from non-food-grade plastics for PET,   bines object recognition with tradition-  new  revenue  streams  for  TOMRA’s
          PP and HDPE. The breakthrough was   al sensor-based sorting            customers.
          made  possible by the  company's  in-                                  TOMRA  is  also  launching  two  non-
          tensive  research and development in  However,  TOMRA’s  GAIN  technol-  food applications that  complement
          deep learning, a subset of AI.     ogy – today rebranded GAINnext™ to
                                             pay tribute to the product’s significant   the  company’s  existing  GAINnext™
          Thanks to TOMRA’s continued invest-  evolution – resolves all of these chal-  ecosystem: an application for deinking
          ment  in GAIN – the company’s  deep   lenges by further enhancing the sort-  paper for cleaner paper streams, and a
          learning-based  sorting  add-on  for  its   ing  performance of the company’s   PET cleaner application for even higher
          world-renowned AUTOSORT™ units –   AUTOSORT™ units so they are capa-   purity PET bottle streams.
          it is now possible for the first time to   ble of identifying objects that are hard  Bottle-to-bottle quality
          quickly  and  efficiently  separate  food-  and, in some cases, even impossible to
          grade  from non-food-grade  plastics   classify using traditional optical waste   Dr.  Volker  Rehrmann,  EVP, Head  of
          for PET, PP and HDPE on a large scale.                                 TOMRA  Recycling,  comments:  “We
                                             sensors.                            have used AI technology to improve
          Until  now,  food-grade  sorting  has   Purity levels of over 95%      sorting performance for decades, but
          proved a real challenge for the industry                               this latest groundbreaking application
          as food and non-food packaging are  By combining its traditional near-infra-
          often made of the same material and  red, visual spectrometry or other sen-  marks another industry first for us.
          visually  very  similar  which  makes  it  sors  with  deep  learning  technology,  AI has the power to transform resource
          difficult for any sorting system on the  TOMRA has developed the most ac-  recovery  as  we  know  it,  and  our  lat-
          market today to differentiate and sepa-  curate solution available on the market  est sophisticated applications of deep



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