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Night Vision

Team Bender. Night Vision. James Stacy Brian Herre Maurio Grando Eric Faller Chris Bawiec. James. Objectives. Implement A CCD (Charge Coupled Device) Imaging System Provide VGA Output Provide User Interface. James. Goals. Low Light Vision Still Image Capture. James.

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Night Vision

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  1. Team Bender Night Vision James Stacy Brian Herre Maurio Grando Eric Faller Chris Bawiec James

  2. Objectives • Implement A CCD (Charge Coupled Device) Imaging System • Provide VGA Output • Provide User Interface James

  3. Goals • Low Light Vision • Still Image Capture James

  4. Resource Management James

  5. Commercially Available Models James

  6. Functions • User Interface: • Computer Interface via RS-232 • Still Image Output via RS-232 • Output Video Stream via VGA James

  7. Possible Use • Surveillance • Search and Rescue • Property Management James

  8. Biological Applications James

  9. Surveillance James

  10. Additional Functionality • X-Ray Vision • Motion Sensing • Anti-Saturation Brian

  11. Night Vision System Brian

  12. Outline of Approach Sensors Optics Storage Video Out HC11 Computer Brian

  13. I/O of System Blocks • Optics (lens) • Input: Photons from the environment • Output: Focused light • Infrared Sensors • Input: Infrared Information • Output: Digital Image Data • HC11 • Input: Computer commands -Turn on, Test Connection, Take a picture, etc. RAM - Still Image Data • Output: Still Image • Video Out • Input: Digital Image Data • Output: Video Image Brian

  14. lens • Needed to focus light onto CCD sensor • Need to optimize distance between lens and CCD • More research is needed Further details Filters • Not needed in dark areas • Still useful for dimly lit areas • Filter types: red #25 (transparent), infrared #89b (nearly opaque), and infrared #87c (completely opaque). Maurio

  15. CCD Example of an affordable CCD $25 • Question: • How can we tell if the CCD is sensitive enough to near infrared light emitted from objects in a dark room? • We know that companies sell LED’s in a wide range of frequencies in the infrared spectrum. • These can be used the “light up” the room with infrared light at a frequency (more or less) of our choice. Maurio

  16. Transfer the info • We don’t know how fast the CCD will transfer the data yet so.. • We feed the output of the CCD into some gate logic (like an FPGA) • This gate logic in turn feeds the incoming picture into a 2-port RAM and stores it there. Maurio

  17. Video & Computer interfaces 512K x 8 2-port RAM Bus To CCD subsystem Status LEDs 32K RAM 32K ROM 68HC11 μController VGA logic RS-232 interface Computer workstation VGA output Still image data Input commands Eric

  18. HC11 Microcontroller • Standard Capstone component • Controls other components • Disables video while taking still shots • Interface to computer • Reads input commands • Uploads images Eric

  19. VGA Output • Real-time preview of image • Driven either by software or logic • Framerate & resolution will depend on component speeds • 640x480 @ 60 FPS = 18 MB/sec • 320x240 @ 30 FPS = 2 MB/sec • 160x120 @ 30 FPS = 0.5 MB/sec Eric

  20. Computer interface • RS-232 provided by microcontroller • Download software updates • Upload still images to computer • Send commands to camera • Reset • Enable/disable video preview • Take picture Eric

  21. Division of Labor • Lens/Sensor - Maurio, Brian • RAM/FPGA - Maurio, James • VGA output – James, Chris • Microcontroller – Brian, Eric • Software - Eric, Chris Chris

  22. Schedule Chris

  23. Risks • Lens – too expensive • CCD – not sensitive enough to infrared • VGA – Bandwidth too high for component speeds • HC11 – Can’t get it performing all necessary tasks. Chris

  24. Contingency Plan • Lens – Find a low grade camera lens • CCD – Take picture at different frequency • VGA – Output at lower frame rate • HC11 – Simplify HC11’s tasks Chris

  25. Questions ?

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