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Motion and Vision Convergence
The document discusses the convergence of motion and vision technologies, highlighting the integration of these systems in various applications such as bottle inspection, lab automation, and automated storage and retrieval. Key challenges include speed, accuracy, and communication, while benefits encompass reduced design cycles and less technical conflict. It emphasizes collaboration between companies like Omron and PBC Linear to enhance product compatibility and functionality.
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Motion and Vision Convergence
- 1. M ot ionand V is ion C onv er gence
- 2. Introduction Moderator: Miles Budimir Senior Editor Presenters: DavidKaley Commercial Marketing Manager Jonathan R. Schroeder Business Development Manager
- 3. Agenda • Introduction • MOVIas a concept – Elements – Typical Applications – Challenges • Application 1 – Bottle Inspection • Application 2 – Inspection In Motion • Application 3 – Automated Storage & Retrieval
- 4. Inspection History • Inthe past: – Inspect & Reject • Today: – Vision Guided Motion – Cameras In Motion
- 5. = Motion +Vision • Taking Vision beyond Inspect and Reject • Integrating Motion and Vision – – – – Move, Inspect and Reject Move, Inspect and Orient Inspection in Motion Storage and Retrieval
- 6. Not A NewConcept Automated Optical Inspection (AOI) • Critical Inspection of precision products like Circuit boards and Semi Conductor Wafers • Either the camera or the product is moved for precise inspection
- 7. 3 Key Elements MotionControl • Controller • I/O • Drives • Motors Mechanical • Actuators • Gear boxes • Couplings • Sensors • Cable carriers • Mounting Hardware Vision • Controller • Cameras • Lighting • HMI
- 8. Challenges • Speed • Accuracy •Communication • Selection • Software • Speed • Accuracy • Selection • Torque Calculations • Wear • Environment • FOV • Triggering • Color Discrimination • Communication • Selection • Environment
- 9. Speed • Network data •Processing • Acceleration • Deceleration • Function of load • Trigger time • Processing time • Measured in uSec update cycles •Measured in meters per second •Measured in mSec
- 10. Accuracy • Overshoot • Hysteresis •Settling time • Backlash • Repeatability • Rigidity • Color discrimination • Resolution
- 11. Not every companydoes it all Many only do 1 of the 3 disciplines
- 12. Collaboration Is Key •Companies are beginning to leverage each other’s strengths – Customers receive products designed to work together • Omron Industrial Automation and PBC Linear collaboration – Omron controls and PBC Linear mechanicals • By combining strengths, it is easier for customers – This focus on strength helps each company to reduce energy spent on non-core products
- 13. Why Customers WantConvergence • Reduced selection time – Shorter design cycles • Fewer technical support conflicts – Less finger pointing between vendors • Common communication protocols – Faster communication between devices • Vision systems that speak directly to the motion controller – Easier to program and less hardware
- 14.
- 15. The Application • Bottlefilling • Cap inspection • Varying bottle sizes
- 16. Static Mount, ManualAdjust Manual Adjustment w/set screw
- 17. The Problem • Systemused manual adjustments for change-over – Time consuming – Inaccurate – Enclosure integrity – Limited space
- 18. The Solution Linear Actuatorwith built in motor and coupling MLB Series by PBC Linear
- 19. Dynamic Mount, AutomaticAdjust Upper Position
- 20. Dynamic Mount, AutomaticAdjust Lower Position
- 21. The Result • Eliminatederrors during change over • Reduced change over time from 10 minutes or more to roughly a minute • Improved water ingress resistance resulting in fewer moisture related repairs • Smaller footprint for total enclosure • Parts count reduction by 40%, justifying the added cost
- 22.
- 23.
- 24. The Application • Labautomation • Inspecting cultures • Logging the data – Date & Time – Color – Physical Size • Diameter • Area – Change from previous size
- 25.
- 26. The Problem • Manualprocess • 24/7 human monitoring – One hour increments • Manual measurements – Subjective measurements, not typically repeatable from one person to the next (due to frequent odd shape/size) • Image logging data base manually input – Time intensive & data entry error prone
- 27.
- 28. The Solution • Cartesianrobot • Trajexia controller • X and Y planes • Low profile, high precision linear actuators • FZ Vision System • Vision system can auto guide motion controller to ensure optimal image capture (offset move)
- 29.
- 30. The Result • AutomaticProcess • Eliminated 24-hour staff – Reduced Cost • Auto measured culture size and color – Improved accuracy • Auto logged images – Reduced data entry errors
- 31.
- 32.
- 33. The Application • Automatedpharmaceutical dispensing machine • Robot picks drug to be dispensed • Vision system records bottle barcode, locates edge and calculates offset movement distance
- 34. The Problem • Incorrectdispensing is a major liability Complicated by… • Mechanical Tolerances – Inexpensive frame creates huge tolerance stack up • Recording Barcodes • Label Verification
- 35. The Solution • TheCartesian Robot was installed with a home sensor located on a sheet metal component • The vision system provided final move coordinates to the controller • The vision system reads the barcode which is then verified against the order • The vision system also verifies the printing on the label • The vision system stores applicable images/data using onboard PC (for liability reasons)
- 37. The Result • Thevision system’s ability to do edge detection and calculate offset moves reduced assembly tolerances and decreased assembly cost • The motion and vision interface ensure accuracy of the medicine picked – Allows for minimized levels of liability • Fast, accurate medicine dispensing without the need for costly pharmacist staff
- 38. Other Storage &Retrieval Systems • Automated Parking System • High Bay Storage
- 39.
- 40. 3 Key Elements MotionControl • Controller • I/O • Drives • Motors Mechanical • Actuators • Gear boxes • Couplings • Sensors • Cable Carriers • Mounting Hardware Vision • Controller • Cameras • Lighting • HMI
- 41. Challenges • Speed • Accuracy •Communication • Selection • Software • Speed • Accuracy • Selection • Torque Calculations • Wear • Environment • FOV • Triggering • Color Discrimination • Communication • Selection • Environment
- 42. Benefits Of Convergence BetterCommunications = Faster Machines Easier Selection = Faster Design Unified Tech Support = Less Wasted Time Networked Cameras = Less Hardware
- 43. Stay Tuned S Motion +Vision + Safety
- 44. QUESTIONS www.pbclinear.com 1.800.962.8979 Jonathan R. Schroeder BusinessDevelopment jonathan.schroeder@pbclinear.com www.omron247.com 1.800.556.6766 David Kaley Commercial Marketing Manager david.kaley@omron.com
- 45. Thank y oufor at t ending!