Avnet Boards on element14
The Avnet Boards Community is a place for you to connect with your peers, engage in discussions that you’re interested in, participate in design challenges, get expert answers to your questions, and access a suite of on-line trainings around some of our most popular topics.
Avnet Boards Community Avnet Boards Training
Learn more
Hackster.io
Connecting Developers
From machine learning and edge computing to IoT security and automation, Hackster is the leading place where exploring tomorrow starts today.
Community of Innovators
According to our 2019 survey, the Hackster community is comprised of those looking to ideate, inspire, and invent solutions across a number of industries.
Hackster.io projects can be embedded on pages to provide appropriate and relevant content on the page.
70% - WORKING PROFESIONALS
36% - HARDWARE & SOFTWARE ENGINEERS
20% - LAUNCHED A COMMERCIAL PRODUCT
Learn More
Avnet Boards on element14 forums
- AVT9152 Cellular IoT
- Azure Sphere Starter Kit
- General Topics/Questions
- i.MX 8M+ Edge AI kit
- MaaXBoard Hardware
- MicroZed Hardware
- Mini-ITX Hardware
- MiniZed Hardware
- Monarch Go Hardware
- PicoZed Hardware
- RFSoC Development Kits
- RZBoard
- Software Application Dev
- Ultra96 Hardware
- UltraZed Hardware
- Using AMD Xilinx Tools
- ZUBoard
- ZedBoard Hardware
Recent Projects From Hackster.io
We’ve built a high-performance HDMI 2.0 pass-through system that supports 4K at 60Hz using the AMD Artix™ UltraScale+™ FPGA on the AUBoard
An engaging project that deploys the smallest DeepSeek model on the AMD Zynq™ UltraScale+™ MPSoC Processing System.
Get up and running with this kit, based on Qualcomm's powerful edge AI processor QCS6490
Debugging in hardware can be challenging but in this project we are going to learn how to debug effectively in hardware.
Implementation of Microblaze RISC-V with Zynq7 PS on Zedboard using Unified Vitis IDE 2024.2
Using NNStreamer to accelerate the camera pipeline
This project explores how to add support for the open-source LIBCAMERA project on our Zynq-UltraScale+ platform.
Getting a correct white balance is not an easy task. The project proposes a simple technque to validate our White Balance.