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fpga-vision's Introduction

fpga-vision

Goal: Perform optical character recognition (OCR) on simple character set (0-9) entirely on FPGA.

This project was inspired by the computer vision demo on the Hello FPGA Kit from Microchip (Microsemi).

Initial setup:

  • Digilent Basys 3 board with a Xilinx Artix-7 FPGA
  • Omnivision OV7670 640x480 CMOS camera
  • TFT SPI OLED display or VGA display

Goals:

  • Interface FPGA with OV7670 camera
  • Control VGA display
  • Display camera data on VGA display
  • Control SPI OLED display
  • Display camera data on SPI OLED display
  • Draw overlays on (e.g. bounding boxes) on camera data
  • Develop CNN logic for FPGA
  • Train OCR model in Python
  • Port Python-trained weights to FPGA CNN
  • Translate CNN output to numeric overlays for image
  • Port logic designs to Intel Cyclone 10 architecture

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