Arduino UNO Media Carrier for Multimedia Applications

Extend the multimedia capabilities of UNO Q and VENTUNO Q by enabling advanced vision, display, and audio applications with plug-and-play simplicity. 

UNO Media Carrier connects to the board through the JMEDIA and JMISC high-speed connectors – both passthrough, to keep all pins available for additional modules or carriers. 

Equipped with two MIPI CSI connectors for standard 22-pin MIPI CSI 4 lanes cameras (like Raspberry Pi cameras), it opens the door to dual-camera computer vision projects, from stereo depth mapping to multi-angle image capture. A MIPI DSI interface provides compatibility with 22-pin 4 lanes MIPI DSI displays, making it easy to add rich, interactive visual output to your projects without additional adapters. 

For audio, UNO Media Carrier includes three dedicated 3.5 mm jacks: one combined microphone input and headphone output for flexible audio capture and monitoring, one line out for connecting to amplifiers or powered speakers, and one ear out enabling Class-AB differential earpiece output. 

Together, these interfaces turn your UNO Q into a complete edge multimedia hub, ideal for AI-powered kiosks, object tracking, interactive installations, and more.

Key benefits

• Add capabilities, not limits: Passthrough connectors mean all pins remain available to further expand your UNO board.
• Plug-and-play integration: Vastly compatible with Arduino, Raspberry Pi, and other popular brands’ peripherals.
• Affordable multimedia expansion: Ideal for prototyping and for educators teaching image, video, and audio processing.
• High-speed video and audio I/O: Top performance in a compact form factor.
• Fast path from proof-of-concept to product validation: No custom PCB design required, easy hardware integration and setup, well-documented, reliable.

Application examples to explore

• AI and computer vision: Create smart dual-camera vision systems for tracking objects or people from multiple angles, real-time facial recognition for access control or personalization, stereo-depth perception for robot navigation, or advanced object inspection for quality control.
• Digital signage and interactive displays: Convert displays into intelligent, responsive interfaces for emotion-aware digital signage, design museum installations with presence and gesture recognition, or AI-powered smart mirrors for virtual try-on.
• Automation and robotics: Leverage vision-guided automation for a variety of industrial applications – from pick-and-place systems for accurate object identification to agricultural monitoring stations, and from autonomous robot navigation to warehouse inventory scanning.
• Education and research: Accelerate learning with hands-on multimedia projects. Teach computer vision fundamentals and real-time audio signal processing and voice recognition capabilities, or combine visual, audio, and additional sensor data in comprehensive IoT experiments.
• Product prototyping and development: Fast-track product validation with integrated multimedia. Prototype smart retail checkout systems with product scanning and visual confirmation, rapidly develop AI-enhanced security camera MVPs with local processing and display, or create interactive vending machines with voice control interfaces.