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Flexible Automation: Integrating Vision and Robot Technology for Enhanced Handling Solutions

This document explores the integration of vision systems and robotics in flexible automation, particularly for managing various product variants on standard conveyors. It discusses the primary tasks of vision systems, including object location and identification, using 2D and 3D dimensions. The setup features a camera and robot communicating via RS-232, with practical examples, such as scrabble piece sorting and automatic palletizing. It emphasizes the advantages of cost-effective vision systems, calibration techniques, and the role of software solutions in optimizing robot performance.

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Flexible Automation: Integrating Vision and Robot Technology for Enhanced Handling Solutions

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Presentation Transcript

  1. Vision + Robot=Flexible Automation

  2. Flexible Automation The vision about robots, vision and automation handling many products variants on a running standard conveyor

  3. What is the task for the vision? The primary task – Locate object • 3D – six dimensions • 2D – x,y and angle When located - Identification

  4. Classical Scenario One camera – above the conveyor – and a robot Communication – rs-232 Robot master : Get Part Vision answer : x,y,angle

  5. Scrabble Example • A PC with a monochrome 640 x 480 pixels firewire camera • Camera height 900 mm • Lens – 8 mm • Rexroth Bosch AR6 robot • Scorpion Vision Software • RS-232 communication • Cycletime - 200 ms – P4 2.0 GHz

  6. Image processing • Segmentation • Blob • Pattern Matching • Orientation • Pattern Matching • Line Finders • Result x,y and angle

  7. Vision – Robot Calibration • A standard four-point calibration dominates the 2D robot vision • Calibration done manually when system is offline • Vision works i robot coordinates

  8. Identification • Identificates the letter using a template-matcher • A smart resampling means that the system handles rotation, perspective and size changes with ease.

  9. Other examples • Automatic palleting with Motoman robot

  10. Blockdiagram

  11. System Protocol • PLC transmits trigger to Scorpion • Scorpion capture image return one of the following over RS 232 • OK Angle • Error tag • Angle not OK • Cannot Measure

  12. Flexible Picking • Randomly feeding products on 8 conveyors. • 2 robots picking and packing guided by Scorpion Vision Software • Video

  13. Mounting contacts • Bosch robot mount contact • Vision checks that the pins are OK

  14. Measure Angle • Motoman Robot holds object • Vision measure angle

  15. Conclusion • Many possibilities for the innovative • Cost of robot vision is dropping • Standard hardware • Proven and configurable software

  16. One solution for all Vision Systems • Configurable Software • MMI • Vision Tools • Process Insight • Communication • Standard • Cameras • PC • Windows 2000/XP

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