A beginner's guide to follow along step-by-step.
AI-powered robot that autonomously tracks and follows people using computer vision and PI control. No programming needed—just visual blocks.
Long-range AI monitoring with reCamera + Wi-Fi HaLow: real-time video/detection over 1 km, no network needed.
My experience using ML/AI with Arduino UNO Q is quite positive (with some glitches). The learning curve is much simpler than Raspberry Pi.
AI device for mass fever screening.
Learn how to deploy the best object detection algorithm to Jetson Nano and start building powerful edge computing applications.
This project is an example of how AI can be used for counting objects in a quick and efficient way using embedded Machine Learning.
Sensitive Pulse Induction metal detector which is based on ARM STM32 microcontroller. It can detect metal coih at distance of 30cm.
When Xilinx launched Kria™, they also provided a method for quickly deploying apps. This project takes a look at creating a custom app.
Learn how to easily set up machine learning inference capabilities on the AMD/Xilinx KV260 Vision AI starter kit running Ubuntu desktop
Easy object detection framework that can be used to create a La Croix Flavor Detector or any other object detection project in Python!
Star Wars Pit Droid powered by NVIDIA Jetson Orin Nano and vision AI.
This tutorial is on "How to install Petalinux 2021.1, Building Petalinux BSP Project of Kria KV260 with SmartCam & run FaceDetection App"!
Computer Vision Exploration with the help of Edge Impulse and Arduino.
Exploring Computer Vision applications such as Image Classification, Object Detection, and Pose estimation.
Get started using a Pi 3 with Intel's Neural Compute Stick 2, to detect objects and faces.
It's a robot cat toy that starts when motion detection and object recognition confirm a cat is present. It also has a camera & web app.
Multiple Object Tracking with the use of the DeepSORT algorithm based on YOLOv4 object detector tested and benchmarked on edge devices.
Use an antenna and SDR to get satellite imagery data from NASA satellites, then run object detection on the images to identify rain clouds!
Towards Spatial-guided Vision based Assistive Robotics using EdgeImpulse and LEGO Mindstorms.
Deploying YOLOv8 on Raspberry Pi Zero 2W for Real-Time Bee Counting at the Hive Entrance.
Dual AI Camera using Grove Vision AI V2 and Xiao ESP32S3 Sense to detect and capture images of hummingbirds.
A machine vision-based blob analysis method is explained to track an object in real-time using MATLAB and webcam.
Introducing LabGuard, a safety device designed for laboratory settings. With advanced technology, LabGuard can detect the usage of lab coats
