SmartCamera - Computer vision on Zynq

About

Computer vision on Zynq platfotm with OV7670 (or any other) digital image sensor.

This repository contains the sorce code of a basic computer vision pipeline implemented on Xilinx devices (e.g., Zynq) only with HLS tools (specifically, Vivado HLS). The input image stream from a OV7670 (or any other imaging device) is fed to the FPGA for processing and then transmitted (UDP) in real-time to a remote client (using the LWIp library) from the ARM processor of the Zynq device. The processed image stream is also sent to the VGA output available on the evaluation board (e.g., Zedboard). Tested with operating system Baremetal (Zynq ARM processor) but easily portable to Linux OS. An OpenCV client allows to visualize the image stream (raw image Luma, raw image Chroma, Color image and processed image) A client running on the remote computer enables to change (via TCP) parameters of the convolutional filter (separable or standard) implemeted into the FPGA.

Supported Boards and Images

Other Resources

• Create custom Linux Images

Other Informations

For more details see 06 - Embedded_Vision.pdf in Documentation

• https://www.youtube.com/watch?v=EG3NYqMJvZI
• https://www.youtube.com/watch?v=QFxjXWgBBcc
• https://www.youtube.com/watch?v=6HEgdZEHpsM

If you use this code please refer to:

06 - Embedded_Vision.pdf available at www.vision.disi.unibo.it/smatt

Credits to initial developers: Riccardo Albertazzi and Simone Mingarelli

OV7670 and PYNQ

At the following link is available a new project, developed by Mattia Mazzoli and Matteo Di Lorenzi, for the PYNQ Z2 board:

https://github.com/m-dilorenzi/OV7670-PynqZ2