University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

1. University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

2. Team Members • Dan Mackin • Kyle Huston • Farhad Majdeteimouri • Muhammad Ahmad University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

3. Presentation Outline • High Level Project Discussion • Features • Project Overview • Components • System Block Diagram • Self Organizing Map (SOM) Discussion • SOM Block Diagram • SOM Demo • Auto-Calibration Device (“Tapper”) Discussion • Tapper Block Diagram • MSP430 Development Board Overview • Microstepping Motor Controller • 3-D Model • Project Administration Discussion • Division of Labor • Updated Timeline • Milestones • Status Update • Updated Costs • Risk Analysis and Safeguards • Questions? University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

4. Features • Self learning algorithm maps a strand of fiber and displays any touches on the fiber in real time on a computer monitor. • Robotic device provides auto-calibration by randomly deflecting the light through the fiber for a finite time. • A user is then able to put pressure on the fiber and have its exact location mapped out on the screen. University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

5. Project Overview • Uses Self Organizing Maps (SOM) to model Optical Fiber in Matlab • Laser is shone into the optical fiber which produces a speckle pattern that is recorded by a typical webcam which Matlab acquires • A robotic tapping device built using a stepper motor, a servo, and a microcontroller will tap on the fiber strand • The speckle pattern will change as the robotic tapping device puts pressure on the fiber strand in various locations • Hundreds of speckle patterns will be recorded as the tapping device produces random tapping along the fiber • The Self-Organizing Map algorithm then learns the topology of the fiber University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

6. Components • SOM Components • Personal Computer • Matlab Software • Optical Hardware • Optical Breadboard • USB Webcam • Multi-Mode Fiber Strand • Red Laser Diode • Collimating and Condensing Lens • Opaque Plexi-Glass Enclosure • Tapper Hardware • MSP430 Microcontroller and Development Board • MD2S-P High Resolution Micostepping Motor Controller • STH39C Stepper Motor • HS-422 Hi-Tec Deluxe Hobby Servos • Derlin Mini-Sprockets and Chains • Fiber Glass Enclosure University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

7. Pictorial Block Diagram MSP430 Microcontroller and Development Board Servo Powers mechanical tapping arm Microstepping Motor Controller Provides high resolution Stepper motor movement Feedback RS-232 Stepper Motor Drives sprocket and chain Which moves tapping arm Along its track Mechanical tapping arm USB Optical fiber PC running Matlab University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

8. SOM Block Diagram University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

9. SOM Demo University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

10. MSP430 Development Board Details about this here University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

11. MSP430 Board Schematic University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

12. MD2S-P Microstepping Motor Controller Put some details in here University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

13. 3D Model View University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

14. Interfacing Tasks • Microcontroller to Tapper Device • MSP430 sends digital signals to MD2S-P Microstepping Motor Controller • MSP430 sends pulse width modulated signal to hobby servo for tapping arm movement • MD2S-P sends required waveform to STH39C stepper motor for tapper device movement • Digital switch relays home position of tapping device to MSP430 • Fiber to PC (SOM Algorithm) • Camera captures image and transmits to the PC via USB. • Image is acquired as an 640x480 8 bit RGB image. • Image is pulled into Matlab using image acquisition toolbox extracts a 200x200 speckle pattern. • PC to MSP430 Microcontroller • Matlab sends commands to MSP430 using RS232 interface standard. University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

15. Division of Labor Hardware/Calibration – Kyle, Dan Image Processing – Muhammad, Farhad SOM Algorithm – Farhad, Kyle Display Routines – Dan, Muhammad Breadboard Enclosure Construction – Dan, Kyle Tapper Device Construction – Muhammad, Kyle Tapper Device Programming – Muhammad, Dan University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

16. Timeline University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

17. Milestones • Milestone One • SOM Algorithm Developed Using 50 Neurons • Robotic Tapping Device Construction Complete • Initial Programming of Tapping Device Complete • Milestone Two • SOM Algorithm Optimized and Tested Using 200 Neurons • Opaque Breadboard Enclosure Complete • Robotic Tapping Device Programming Complete • System Tested and Integrated University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

18. Current Status • SOM • Hardware setup complete • Image acquisition and front end image processing complete • Initial SOM prototype redesigned to include 50 neurons • Tapper • Initial control of stepper motor using microcontroller and microstepping motor controller complete • Enclosure and tapper schematics and part design 75% complete University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

19. Updated Costs University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

20. Risk Analysis and Safeguard Main Risk: It is impossible to save the configuration of the SOM once the algorithm has been calibrated with that specific speckle configuration. Safeguard: We are planning to lock the enclosure such that the laser and all corresponding filters and lenses can not be accessed by anyone thus preventing the need for re-calibration. University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007

21. Questions? University of Colorado at Boulder – ECE Capstone – CDR – October 16, 2007