With ROS 2 integration, the YOLO-Pro model from Edge Impulse powers real-time hand tracking on the Rubik Pi 3, accelerated by Qualcomm AI.
An industrial automation system for block sorting, utilizing Computer Vision and Finite State Machines, implemented with Edge Impulse.
This guide provides detailed instructions for implementing face detection on two (2) cameras using the Ultra96-V2 and Dual-Camera Mezzanine.
This project takes a look at using marker-based augmented reality to activate a simple white balance algorithm.
Explore Intel's OpenVINO platform by seeing how to set it up and run an example project.
In order to add support for V3, HQ, and AI cameras on your Zynq-UltraScale+ platform, leverage Raspberry Pi's linux kernel repository.
WAiT is a project that track the movement of wild animal at the application area, identify the animal class and report it on the webserver.
Deploying a CNN based Satellite image classification approach on Sony's Spresense with the recent announcement of Spresense going to space.
A computer vision model using Edge Impulse to assist the driver to park the vehicle in parking space.
This project explores how to add support for the open-source LIBCAMERA project on our Zynq-UltraScale+ platform.
An autonomous drone that uses deep learning to identify if people are maintaining social distancing or not. High Degree of Red = High Risk.
Build a desk-sized robot that detects a human face using on-device ML and steers toward it in real time, all running on the Arduino UNO Q
Unlock real-time fall detection on Jetson Nano with customized YOLOv8! Dive into edge AI and safeguard lives with cutting-edge technology
A computer vision algorithm using tinyML to enable drone autopilot landing on a target surface with obstacle avoidance.
In this project, we will create our own Face Mask Detection system using the Edge Impulse's FOMO algorithm and deploy to OpenMV Cam H7 Plus.
Open-licensed hardware that gives Ultra96-V2 dual MIPI CSI and USB video class interfaces to realize a stereo vision system.
See how to take an existing edge machine vision project from the Jetson Nano to the SK-TDA4VM starter kit
A compact edge AI solution to help keep you and your loved ones out of harm's way on those sweet long rides and weekend getaways.
This work implements face mask recognition system on the Jetson Nano using Jupyter Lab headlessly.
Auxi is an ML-powered rover that uses computer vision for autonomous navigation and transporting loads in various environments.
Imagine if anyone bringing a robot to market could "drop in" a self docking solution - both software and hardware!
This step by step tutorial is on "how to design the VIVADO system and Petalinux System" for DPU 3.0 TRD for ZCU106 FPGA Boards/
A real time Shibuya Crossing (Tokyo) traffic segmentation demo using Xilinx Zynq UltraScale+ MPSoC development board (Ultra96V2).
Get machine vision running on your MaaXBoard using OpenCV.
