One Bundle, Four Solutions - Build Smarter. Build Faster. With Arduino UNO Q
Start exploring Edge AI, computer vision, and IoT with a single Arduino UNO Q hardware setup. Powered by a Qualcomm Dragonwing processor and built for real-world AI workloads, the UNO Q brings serious edge compute into a familiar Arduino form factor. It pairs a real-time microcontroller with a Linux-capable application processor on one board, giving you the flexibility to run deterministic hardware control alongside AI inference and modern software workflows. Use the same bundle to work through four hands-on application solutions, from agentic automation to real-time vision systems, and build the skills to take your own project from concept to deployment. Whether you're prototyping your first edge AI use case or scaling toward production, this bundle gives you a practical, repeatable foundation to build on.
OpenClaw: Agentic AI for Arduino UNO Q
Transform the Arduino UNO Q into an AI-powered execution platform that turns natural language instructions into real development action. Explore agentic AI workflows that automate software installation, project management, code generation, and embedded development operations. No manual scripting required. DOWNLOAD GUIDE ►
Real-Time Edge AI Object Detection
Deploy real-time object detection applications using Edge AI and computer vision, running entirely on-device. Learn how to perform local inference directly on the Arduino UNO Q to enable low-latency detection and classification for smart automation, robotics, and monitoring systems, without relying on the cloud for every decision. DOWNLOAD GUIDE ►
Edge AI Face Detection with Avnet /IOTCONNECT™
Develop intelligent face detection applications that combine on-device Edge AI inferencing with cloud-based visualization and monitoring via Avnet /IOTCONNECT™. Explore practical implementations for access control, surveillance, attendance management, and smart environments, with live dashboards to track activity as it happens. DOWNLOAD GUIDE ►
Human Detection with Avnet /IOTCONNECT™
Build cloud-connected video analytics applications capable of identifying and classifying people in real time. Learn how to integrate Edge AI with IoT dashboards for occupancy monitoring, visitor insights, and intelligent building management. Turning raw video into actionable business data. DOWNLOAD GUIDE ►
Required Hardware:
- Arduino UNO Q 4GB
- USB Type-A to USB-C cable
- 8-in-1 USB-C hub
- USB-C cable for hub power
- USB hub power supply
- USB webcam (not supplied)
Your Own On-Device AI Agent
Build an On-Device AI Agent with Arduino App Lab. Create intelligent conversational embedded systems powered by local AI inference running directly on the Arduino UNO Q - no cloud round-trips, no latency compromises.
The UNO Q's dual-processor architecture lets you combine deterministic sensor and actuator control with on-device language-model reasoning, all in a single, self-contained setup. Learn how to combine hardware interaction, real-time control, and modern application development workflows to build AI-powered embedded experiences like HatchAgent, your own on-device conversational assistant. From chatting through a browser interface to triggering real sensor-driven automations, this bundle shows you how natural language can become a genuine hardware control layer. DOWNLOAD GUIDE ►
Required Hardwares:
- Arduino UNO Q 4GB
- Arduino® Modulino™ plug and play - Buttons, Pixels, Buzzer, Knob, Distance, Movement and Thermo boards
- Qwiic cables
