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
Detect visual anomalies and explain them in natural language using a locally running Language Model on the Arduino UNO Q.
A glowing pumpkin that spots visitors, hears their questions, describes what it sees and replies spookily, running models on Dragonwing NPU.
Qualcomm IM SDK GStreamer plugins turn Dragonwing IQ-9075 NPU inference into a pipeline element, driving real-time Recamera gimbal tracking
Teach JBR-001 to recognize objects with Arduino® UNO™ Q and Edge Impulse in this hands-on computer vision guide.
An AI-powered automated PCB/PCBA inspection system built on Arduino Uno Q and Edge Impulse.
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 :)
Train LeRobot policies from real demonstrations and deploy on the Dragonwing IQ-9075 NPU for autonomous pick and place task.
Control a Gazebo simulated TurtleBot 4 using a VLM running on the Dragonwing IQ-9075, translating prompts into autonomous ROS 2 navigation.
Drive the robotic hand to mirror live gestures via NPU-accelerated Qualcomm AI optimized model
Run Meta's 30B vision-language model entirely on a Dragonwing IQ-9075. Zero-shot defect inspection, tool calling and 128K context, no cloud.
Run YOLO26 on the Dragonwing IQ-9075: from 4.9 FPS on the CPU to 153.6 FPS on the NPU, a 31x speedup.
A potted cedar with a face, a pincer, senses, and a voice: a full AI agent on the Arduino UNO Q, held inside firmware-enforced limits.
This Arduino App Lab project cascades a lightweight TinyML model with a local VLM to bring contextual descriptions of the scene.
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
A vision ML–enabled garden robot that detects slugs and automatically sprays an organic garlic solution to stop them from reaching plants
myCobot 280 robotic arm that uses computer vision to detect, pick up, and slam dunk a basketball.
Build a voice-controlled AI assistant using an ESP32, Xiaozhi and MCP
CamThink smart camera + Home Assistant use Edge AI to detect drinks and trigger refills automatically.
Autonomous robotic dog leverages ROS 2 and Edge Impulse-trained YOLO-Pro model for real-time ball detection and pursuit on the Arduino Uno Q
Exploring Hand-Controlled Tele-Operation of a Robotic Arm on the Tria Vision AI-KIT 6490
Learn to build a gate opener that reacts to facial emotions using Huskylens V2 and ESP32 P4.
Train a domain-specific image to keywords model that is 200x lighter (9MB) and runs with low latency on hardware such as Raspberry Pi 4.
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.
