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RESEARCH, ANALYSIS & TRENDS































             With artificial intelligence into a new


             age of automation


            Artificial  intelligence  (AI)  and  machine  learning   also  crucial  for  AI-based  robotics  applications.  For
            arrived in industrial production a long time ago –   many years, vision systems have been the prerequisite
            at  least  in  theory.  In  any  case,  it  is  undisputed   for the autonomy and flexibility of robots. If robots are
            that  AI-based  automation  solutions  will  be  the   to act intelligently, powerful image processing is one of
            big  topic  in  the  coming  years.  However,  the   the basic requirements.
            question  arises  as  to  how  quickly  the  immense   … with AI computing power
            potential of this technology can be tapped for the
            producing industry.                                  Other  characteristics  robots  need  to  have  for
                                                                 integration into intelligent production environments are
            A  survey  by  Longitude  Research  and  Siemens     image or force data. However, most robots today work
            revealed  that  more  than  half  of  business  leaders   blind  by  default.  In  the  future,  the  integration  of
            assume  that  industrial  plants,  machines  and  critical   cameras and force sensors must be part of the scope
            infrastructures  will  be  controlled  by  AI  in  the  next  five   of  performance  of  a  standard  robot  for  the  smart
            years,  provided  that  the  end-to-end  digital  networking   factory.
            of  all  components  involved  in  production  takes  place.
            Once this hurdle has been cleared and the autonomous   To  be  able  to  act  autonomously,  the  virtual  training
            data exchange of all systems involved is ensured, the   environment is also crucial. In order for the real robot to
            basis for intelligent production is created.         be  productive  immediately,  industrial  robots  need  a
                                                                 digital twin to generate training data in the simulation.
            Act smart …                                          After  all,  robotics  is  always  cycle  time-critical,  which
                                                                 means  it  requires  real-time  AI  with  low  latencies.
            Even  if  digital  networking  is  often  not  yet   Therefore,  AI  with  large  computational  resources  is
            comprehensive,  nothing  stands  in  the  way  of  the   migrating  from  the  cloud  to  the  edge.  This  requires
            realization  of  isolated  AI  solutions  today.  One  of  the   computing power in the robot controller to run and train
            pioneers  for  intelligent  production  processes  is   AI models.
            industrial image processing, as a trip into space shows
            us  how  far  advanced  imaging  is.  From  2023,  ten   Overall,  the  megatrends  of  digital  networking  and
            satellites  equipped  with  ABB  multispectral  imaging   artificial  intelligence  are  ushering  in  a  new  era  of
            systems  will  orbit  the  earth  and  map  our  planet's   automation.  They  enable  the  realization  of  highly
            ecosystem. The system delivers first-class images with   flexible intralogistics and production concepts that were
            a resolution of up to five meters. An AI-based analysis   previously not possible. ◊
            system,  managed  by  the  satellite  operator,  evaluates
            changes on our globe – of a natural nature or caused                                By Daniela La Marca
            by human intervention – in almost real time. Imaging is

                                                             4         April 2022: Marketing Automation: AI, Big Data & Deep Learning
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