Project Title: Embedded Vision

• Abstract: Embedded vision refers to machines that understand their environment through visual means. By "Embedded" we're referring to any image-sensor-inclusive system that isn't a general-purpose computer. A diversity of robust embedded vision processing product options exist: microprocessors and embedded controllers, application-tailored SoC's, DSP's, Graphic Processors, ASICs and FPGAs. An FPGA is an intriguing silicon platform for realizing embedded vision, because it approximates the combination of the hardware attributes of an ASIC -- high performance and low power consumption -- with the flexibility and time-to-marker advantages of the software algorithm alternative running on a CPU, GPU or DSP.
• Typical Applications:
  1. Road Sign Detection, Pedestrian Detection and Tracking.
  2. Medical Applications.
  3. Surveillance.
  4. Robotics, Military drones.
  5. Assembly Line Inspection.
• Resources:
  1. Embedded Vision Alliance
  2. TI Embedded Processors for Vision Applications
  3. TYZX Systems that See
  4. Embedded Computer Vision
  5. An FPGA based Embedded Vision System for Real-Time Motion Segmentation, 2010
  6. An Embedded Vision System for an Unmanned Four-rotor Helicopter
• Faculty advisor(s): Shawki Areibi
• Students:

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This page is maintained by Shawki Areibi, sareibi@uoguelph.ca
Last modified Sept. 2019