1. Micro-triangulation for high accuracy short range measurements of dynamic objects Vasileios Vlachakis 1 st PACMAN Workshop 2 - 4 February 2015 CERN, Geneva, Switzerland

2. 2 Outline What we measure?Angles What we can do with such observations?Geodetic Networks How precise the system can be?Micrometres Why μ-Triangulation and QDaedalus?O bject T arget R ecognition What this system can contribute to PACMAN?Fiducials + Wire Are there any potential for improvement?Yes, as always!

3. Horizontal angles

4. Vertical angles

5. α Minimum constraints - DoF Y Z X Position Orientation Scale

6. Relative interferometer Absolute interferometer Scale bars CMM

12. QDaedalus Developed at the Institute of Geodesy and Photogrammetry, ETH Zurich Consists of hardware and software developments Replaces eye piece with CCD camera, non destructively Object Target Recognition

13. Why micro-triangulation and QDaedalus has been chosen for this project? Using the OTR, in principle it can measure whatever is visible (emits radiation) (images of targets) Can measure spheres (fiducials) Has the potential to measure the stretched wire Can measure even well machined holes on the objects Can measure targets around the object in case we need absolute reference frame (image of module+instruments) Why QDaedalus in PACMAN? Object Target Recognition (OTR) Can measure spheres Can measure circles Can possibly measure the stretched wire

14. How μ-Triangulation can contribute to PACMAN? Can measure targets (fiducials) and the stretched wire in a common coordinate system

15. Which are the main advantages?  Portable metrology solution  Automatic measurements Without observer, remote control, cheap targets  Massive measurements  Accurate measurements High precision instruments, targets and algorithms Without human error  Low cost

16. Software improvements Improve Graphical User Interface (GUI) Upgrade QDaedalus - LGC communication (input, output) Visualize network adjustment results

17. Leica Nova TS50 Hardware improvements Control several instruments simultaneously Develop online, remote control Reduce cabling / increase precision and portability

18. Algorithms improvements Enhance auto-focus functionality Implement automatic intensity adjustment Drive instrument through the image Improve points management

19. Stretched wire detection & measurement Combine focusing techniques Determine which pixels depict the centre of the wire (image processing) Extract angle measurements Estimate the plane (surface) that passes through the wire and the instrument Reconstruct the wire as a section of these planes (surfaces) Calculate the precision of the measurement Compare results with FSI and CMM

20. Conclusion Thank you!