Get the latest tech news

YOLOv5 on FPGA with Hailo-8 and 4 Pi Cameras


See it live: The demo described in this post will be displayed live at the EBV Elektronik booth at Embedded World 2024 on April 9-11. I’ll be attending too, so get in touch if you’re keen to meet up. Over the last few months I’ve been lucky to work with two very talented people on an interesting project for multi-camera machine vision applications: Gianluca Filippini and Mario Bergeron. Back in 2022, I was contacted by Gianluca, an engineer from EBV Elektronik.

The idea was to take the Zynq UltraScale+, a powerful MPSoC geared for video applications, and arm it with a top performing AI accelerator to run intelligent vision algorithms on the edge. The ISP Pipeline IP performs BPC (Bad Pixel Correction), gain control, demosaicing and auto white balance, to output the image frames in RGB888 format. Based on our experience with GStreamer on the Zynq UltraScale+, at any substantial resolution and frame rate, it is essential to use hardware acceleration to perform all resizing, color conversions and any other image processing.

Get the Android app

Or read this on Hacker News

Read more on:

Photo of FPGA

FPGA

Photo of hailo-8

hailo-8

Photo of pi cameras

pi cameras

Related news:

News photo

A trustworthy, free (libre), Linux capable, self-hosting 64bit RISC-V computer

News photo

Swan – A Lightweight Language Model Execution Environment Using FPGA

News photo

Intel and Altera unveil AI-optimized edge processors and FPGA chips