Learn to build and program a Quarky Intellio Obstacle Avoider Robot using PictoBlox Python and OpenCV.
A self-driving mobile robot built on the LeKiwi omni-base and the Qualcomm Rubik Pi 3, with LiDAR, a depth camera, and live sensor streaming
Project Diya is a wearable AI device that sees obstacles, faces, and currency for its user, while guiding them with voice and haptic cues.
We ran real-time depth estimation on two Qualcomm Dragonwing edge AI boards, one on a moving robot and one on a desk.
Detect visual anomalies and explain them in natural language using a locally running Language Model on the Arduino UNO Q.
Deploying and Profiling AI Models with AMD Vitis AI 6.3 and 6.2 for Versal.
Point and say "here", "that one", "this big". One open core turns it into a place a robot can act on: a vacuum, a pen plotter and an arm.
We are sharing some highlights from the specific sessions that caught my attention at AMD ECS 2026.
An open ESP32-S3 camera in a hanging solar trap photographs fruit flies over 4G; OpenCV 5 counts them and a person approves the next move.
Zero-cloud WebRTC surveillance platform with YOLOv8s kinematic tracking, YuNet/SFace 128-D biometrics, FBI watchlist sync, & RTX 3060Ti VLM
A glowing pumpkin that spots visitors, hears their questions, describes what it sees and replies spookily, running models on Dragonwing NPU.
A chest X-ray goes in, a written report comes out, on one Jetson Orin Nano Super. Two models share 8 GB, and nothing leaves the board.
Implement seamless high-speed MIPI CSI-2 image sensor bridging and signal integrity using the Meticom MC20901 and FPGA.
An AI-powered automated PCB/PCBA inspection system built on Arduino Uno Q and Edge Impulse.
Teach JBR-001 to recognize objects with Arduino® UNO™ Q and Edge Impulse in this hands-on computer vision guide.
Autonomous AI sentry on Arduino UNO Q that tracks wildlife in 180°, triggers humane deterrents, and logs photo alerts via App Lab.
Can an AI coding agent build software that has to work in the physical world?
Train LeRobot policies from real demonstrations and deploy on the Dragonwing IQ-9075 NPU for autonomous pick and place task.
Inspired to develop this local AI agent after failing to remove a yellowjacket nest with my custom bee vacuum due to my lack of knowledge :)
We will learn step by step, how to use a PiCam to recognize faces in real-time.
IoT Raspberry Pi security camera running OpenCV for object detection. The camera will send an email with an image of any objects it detects.
A robotic arm that uses Google's Coral Edge TPU USB Accelerator to run object detection and recognition of different recycling materials.
Track your face using OpenCV's facial recognition.
Autonomous drone using real-time VSLAM on Jetson Orin Nano to navigate GPS-denied areas via visual-inertial sensing and onboard mapping.
