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MACHINE BUILDING








       Solves a cheesy challenge








                                                                   VISION-GUIDED ROBOTICS



       PRODUCTION ENVIRONMENTS
       OF EVERY SIZE AND IN EVERY
       INDUSTRY ARE STARTING TO
       BENEFIT FROM NEW FREEDOMS
       AS ROBOT-GUIDANCE SYSTEMS
       BECOME MORE ACCESSIBLE AND
       AFFORDABLE THAN THEY HAVE
       EVER BEEN BEFORE. HERE WE
       LOOK AT A 3D VISION-GUIDED
       SOLUTION FOR THE FOOD AND
       DRINK INDUSTRY

             oft, squidgy mozzarella cheese balls slither around
             a  brine-filled,  sealed,  glossy  tubular  bag.  Could
             there be a tougher challenge than automating the
       Ssecondary packaging of these delicate individual
       portions?  Such  was  the  task  facing  engineers  at  the
       German  packaging  machinery  manufacturer  A&F,
       Automation & Fördertechnik, who worked with specialists
       at Sick to develop a reliable high-speed 3D vision-guided
       solution, based on Sick’s IVC-3D smart camera and A&F‘s  damage and leakage, but resulted in highly inefficient use  and  height  to  the  FlexoPac’s  robot  controller,  which
       popular FlexoPac solution using 4-axis Delta 3 pick-and-  of the available packing space.  calculates where to pick up the mozzarella bags on the
       place robots. It handles 150 mozzarella bags per minute  Initial  testing  soon  demonstrated  that  the  glossy  moving conveyor.
       on two synchronized conveyers.           packaging  material  and  the  irregular  shape  – the  “The gripper arm always moves to the correct point of
          The  human  process  used  to  transfer  each  delicate  mozzarella  balls  do  not  always  lie  in  the  middle  of  the  the  product,”  explains  Sascha  Barkei,  A&F  software
       product from the conveyor into secondary packaging had  bag – was too challenging for 2D vision guidance. Instead,  engineer.  “Since  the  camera  reports  the  height,  we  can
       become too slow to keep up with rapidly-growing demand.  using the Sick IVC-3D enabled height-based detection of  adapt  the  gripping  position  to  take  account  of  the
       Alternatively,  dropping  them  in  bulk  from  the  end  of  a  the varying 4 to 44mm profile of the bags. The camera  mozzarella  ball  not  being  in  the  centre  of  the  bag  and
       conveyor  into  a  cardboard  box,  not  only  risked  product  sends  data  sets  including  the  object  centre,  orientation  guide  the  gripper  to  pick  it  gently  every  time,  without
                                                                                          risking a collision.” The 125g, 250g or 400g packs are
                                                                                          fed randomly onto the conveyor. Identified based on their
                                                                                          3D  measurements,  they  can  then  be  sorted  into  three
                                                                                          different  box  types  and  placed  according  to  five  pre-
                                                                                          determined packaging plans.
                                                                                            The  Sick  IVC-3D  delivered  a  quick  return  on
                                                                                          investment  for  A&F  not  only  due  to  its  measurement
                                                                                          performance,  but  also  because  the  camera’s  ease  of
                                                                                          configuration and integration into the machine and factory
                                                                                          network meant the project could be delivered using A&F’s
                                                                                          in-house know-how and resources. Further, using Smart
                                                                                          3D vision has widened the opportunities to automate pick-
                                                                                          and-place robotics solutions for applications like gripping
                                                                                          of complex shapes and profiles and picking products with
                                                                                          variable heights.
                                                                                            Combining,  imaging,  lighting  and  analysis  into  one
                                                                                          housing,  the  IVC-3D  is  a  smart  camera  that  measures
                                                                                          height,  volume,  and  shape  independent  of  contrast  and
                                                                                          colour, using the laser triangulation principle.  As one of
                                                                                          the  world’s  first  Smart  3D  cameras,  the  Sick  IVC-3D
                                                                                          makes advanced 3D image processing easy.  Applications
                                                                                          that  required  complicated  camera  and  illumination
                                                                                          technology are now mastered much more simply.
                                                                                          MORE INFORMATION: www.sick.com


       April 2020 •INDUSTRIAL TECHNOLOGY                                                                                       23
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