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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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CYcyle 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 Team Advisor ArunSomani Visit our site: http://seniord.ece.iastate.edu/may1211
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
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
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
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
General Sensors Laser Radar Sonar Image Processing
Our Design Power
Hardware ANT+ Transceiver 1000mAh 7.4 V Li-Po battery Edge 500 Head Unit Beagleboard -XM Logitech WebCam
Power Module • BeagleBoard voltage input: 5V • Average current Draw : 700mA • Power Consumption : 3.5 W • Rechargeable and mobile system
Power Module • 1000mAh Lithium-ion polymer 2S 7.4V battery • Switching Voltage Regulator • Minimum 1.25 hour life cycle
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
Algorithm Module Previous Sobel Hough PCA Optical Flow
Principal Component Analysis (PCA) Averaged Image =
Principal Component Analysis (PCA) Averaged Image =
Algorithm Module Actual Optical Flow Haar Object Detection HaarTraining
Haar Object Detection • Uses a precompiled cascade classifier • Scans the ROI for the object
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
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
Test Results • Cyclist Performance • Module • Platform • System • Requirements
Test Results • First Detection • Worst Case Detection Time • Algorithm Time
Test Results • Reaction Time • ANT+ High Heart Rate Time • Total Time .459 + 2.07 + 2.2 = 4.7 seconds < 5.07 seconds
Product Profitability • Gross margin : 33% • Does not account for increase in inventory, capital, staff, or marketing
Lessons Learned • Know your team’s abilities • Bottlenecks in the development process • Ask the right questions