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Shape Recognition

Shape Recognition . March Program Review Team Tillamook. The Team. Team Members: Kim Tabac (Spring Team Lead) Bethany Nemeth (Fall Team Lead) Hailee Kenney (Web Master) Ross Hallauer ( VIP ) Advisors: Aziz Inan (Faculty) Walt Harrison (Industry). Background.

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Shape Recognition

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  1. Shape Recognition March Program Review Team Tillamook

  2. The Team Team Members: • Kim Tabac (Spring Team Lead) • Bethany Nemeth (Fall Team Lead) • Hailee Kenney (Web Master) • Ross Hallauer (VIP) Advisors: • Aziz Inan (Faculty) • Walt Harrison (Industry)

  3. Background Recognizes and counts the number of shapes (circle, triangle, or square) that pass under the camera

  4. Methods • Sense-Process-Display • Determined components • MOSIS - EEPROM • Arduino MEGA • ArduCAM • LCD • Stepper Motor • Design and Implementation

  5. Architecture Hardware Components Software Components Mechanical Components

  6. Results • No quantitative data • Data represented by comparing expected shape with shape that was recognized

  7. Hardware Issues • MOSIS • Large schematic • B^2 Logic Limitations • LCD Display • ArduCAM shield • Power supply • Hardware Placement

  8. Software Issues • Arduino memory limitations • Image data • Large numbers • Poor Documentation • Coordinating Hardware Components • Track, LCD, Camera, On/Off Switch

  9. Demonstration https://www.dropbox.com/s/uy1qmxnhpcagp3t/00001.MTS

  10. Conclusion • Methods for building project • Architecture (hardware, software, mechanical components) • Results • Issues encountered with hardware & software • Successful in recognizing shapes

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