This project shows how to build Qwen AI agent to understand image and dialogue, locate objects, and generate code for robot grasping.
Are you having problems in compiling OpenCV in Raspberry PI? Here you can learn how to do it easily.
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 1.4 flow for Avnet Vitis 2021.1 platforms.
Linux, Python 3.8.5, ResNet18 at 20 FPS - Jetson Nano alternative for 7.9 USD?
Texas Instruments Deep Learning API and examples ported onto BeagleBone AI's default Debian distribution image and mjpg-streamer filters.
Get started with TensorFlow object detection in your home automation projects using Home-Assistant.
A simple lane detection system I had developed a while back.
This project walks through the build of an embedded Linux image for the Kria KV260 Vision AI starter kit using PetaLinux 2021.2
Use a webcam and a Raspberry Pi 4 to extract information from QR codes and even make your own with Python
Xilinx just announced Kria™, their newest product portfolio. This project takes a sneak peek at the adaptive and production ready SOM.
This project walks through the out-of-the-box capabilities of the Kria K260 SoM development kit.
Train your machine learning models in Google Colab and easily optimize them for hardware accelerated inference!
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 2.0 flow for Avnet Vitis 2021.2 platforms.
When Xilinx launched Kria™, they also provided a method for quickly deploying apps. This project takes a look at creating a custom app.
The title says it all! This project uses OpenCV and a convolutional neural network in PYNQ on an Ultra96 V2 to create a smart lock.
Push the arcade button to ring "the doorbell" and take a photo -then review on Google Cloud. Adding Vision enables powerful prototyping!
This project looks at Xilinx Kria SOM Vision AI Smart Camera Application evalution on Windows machine.
The M5Stick-V is an AIOT (AI + IOT) camera with machine vision capabilities.
Build a fun mini "Guess the Number" game machine using a micro:bit board and the compact MU Vision sensor, and program it using MakeCode!
Personal record of the project to achieve robotic arm recognition and tracking.
Connect your Raspberry Pi and the Pi Camera to MATLAB to run facial recognition.
This project is a Getting Started Guide to controlling a robot with hand signs that was presented in our Webinar series for ZUBoard.
Using a Raspberry Pi CM4 and an Arducam quad sync hat, a digital quadrascopic image can be taken, similar to the Nimslo and Nishika.
A getting started guide of vehicle recognition using OpenVINO on Raspberry Pi and Neural Compute Stick 2.
