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C Y cyle Safe

C Y cyle Safe. Visit our site: http://seniord.ece.iastate.edu/may1211. The Team – May1211. Team Leader John Sedig Communications / Documentation Kevin Nennig Webmaster / Software Design Matt Graves. Hardware / Electrical Design Josh Mandich Software Design Alex Wesenberg

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C Y cyle Safe

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  1. CYcyle Safe Visit our site: http://seniord.ece.iastate.edu/may1211

  2. The Team – May1211 Team Leader John Sedig Communications / Documentation Kevin Nennig Webmaster / Software Design Matt Graves Hardware / Electrical Design Josh Mandich Software Design Alex Wesenberg Team Advisor ArunSomani Visit our site: http://seniord.ece.iastate.edu/may1211

  3. The Story

  4. The Story

  5. Problem Statement Many bicyclists are injured due to car related accidents on the road each year. If a bicyclist could be warned of rear approaching vehicles, this could greatly reduce number of bicyclist involved in accidents. Primary Goal - To design and develop a low cost vehicle alert accessory for cyclists

  6. Concept Sketch

  7. Functional Specs The device must communicate via the ANT+ protocol to an Edge 500 Garmin head unit Must be able to detect cars going from speeds 10mph-70mph Must detect vehicles within 100m behind the rear of the bicycle

  8. Non-Functional Specs The device should be mounted under the bicycle seat The device will reduce accidents for both cyclists and vehicles by promoting awareness of road conditions to the cyclist The enclosure hosts the device and batteries behind the bicycle

  9. Market Survey Mirror Basic solution for viewing cars behind bicycle Not aerodynamic Requires user to orient correctly Cerevellum Digital Bike Camera Rear-facing digital video camera Does not detect vehicles, only displays them Allows user to record what is behind them Useful for determining faults of vehicle accidents

  10. General Sensors Laser Radar Sonar Image Processing

  11. Our Design Power

  12. Hardware ANT+ Transceiver 1000mAh 7.4 V Li-Po battery Edge 500 Head Unit Beagleboard -XM Logitech WebCam

  13. Power Module • BeagleBoard voltage input: 5V • Average current Draw : 700mA • Power Consumption : 3.5 W • Rechargeable and mobile system

  14. Power Module • 1000mAh Lithium-ion polymer 2S 7.4V battery • Switching Voltage Regulator • Minimum 1.25 hour life cycle

  15. Case / Interlock

  16. Capture Module • Went from 5M Aptinacamera board to Logitech c310 • Emphasis changed later on in semester to focus on algorithms and car detection 5M MT9P031 Camera Board Logitech WebCam

  17. Algorithm Module Previous Sobel Hough PCA Optical Flow

  18. Sobel Edge Detection

  19. Sobel Edge Detection

  20. Hough Line Detection

  21. Hough Line Detection

  22. Principal Component Analysis (PCA) Averaged Image =

  23. Principal Component Analysis (PCA) Averaged Image =

  24. Algorithm Module Actual Optical Flow Haar Object Detection HaarTraining

  25. Optical Flow on BB

  26. Haar Object Detection • Uses a precompiled cascade classifier • Scans the ROI for the object

  27. HaarTraining

  28. ANT+ • Communicate with ANT+ Transceiver over USB, using USB Serial LKM • Use of high Heart Rate signal due to lack of programming interface on the head unit

  29. Defining Success • Be able to successfully detect a car in our worst case (car going 70mph, detection distance of 100m) • Be able to detect each car at least once within this interval

  30. Test Results • Cyclist Performance • Module • Platform • System • Requirements

  31. Test Results • First Detection • Worst Case Detection Time • Algorithm Time

  32. Test Results • Reaction Time • ANT+ High Heart Rate Time • Total Time .459 + 2.07 + 2.2 = 4.7 seconds < 5.07 seconds

  33. Product Profitability • Gross margin : 33% • Does not account for increase in inventory, capital, staff, or marketing

  34. Lessons Learned • Know your team’s abilities • Bottlenecks in the development process • Ask the right questions

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