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Food Production Chain Optimization (Industry 4.0)

Optimization of the flow in a robotized food production chain.

System regrouping machine vision, optimization and robot control to optimizing the flow of items on a conveyor belt.





Robot arm with vision system


3 Parts System

1) Vision

  • Image acquisition of 3 food/ingredients container.

  • Processing of ingredients level (in pixels) within the 3 containers.

  • Data communication server (socket) to exchange data between processes

2) Optimization

  • Optimization of the robot positioning depending (not only) of containers level and ingredients flow

  • Timing of the command to be sent to the robot, provided by the optimization algorithm

  • Data reception for vision and Serving to Robot control

3) Robot Control

  • Robot control depending of the optimization commands

  • Data reception process


System architecture





Authors (alphabetical order)

  • Ashhadul Islam (Ph.D Student)
  • Brenno Castrillon Menezes (Assistant Professor)
  • Maxime Clement (Software Engineer)
  • Mohammad Yaqot (Ph.D Student)
  • Robert Eduard Franzoi Junior (PostDoc)
  • Shaymaa Fawzi M. Khalifa (Software Engineer)

Notable technologies used here

  • OpenCV
  • IMPL
  • ZeroMQ
  • FCN model
  • Python

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