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Making retail smarter: build context-aware experiences with the Arduino® VENTUNO™ Q board

Detailed view of a circuit board highlighting electronic components.
Illustrative photo.Photo by Júlio Riccó on Pexels

What happened

It begins as a personalized style advisor, but it also points towards a new kind of retail experience: one in which physical spaces can understand what customers are doing and offer relevant guidance in real-time . You like each piece, but you are not sure they work together – and which jacket is better.

This is the experience behind the Smart Mirror example running on VENTUNO Q . A mirror that understands what it sees The Smart Mirror application operates with a USB camera to provide a live video feed.

When you tap “Scan your look”, the latest camera frame is analyzed locally on VENTUNO Q by the Qwen3-VL Model, accessed through the Arduino VLM Brick. The model is built to analyze the image, identify the most prominent garment and its color, and return two short sentences: a description of the outfit and a related styling suggestion.

Key facts

  • A mirror that understands what it sees The Smart Mirror application — uses: a USB camera to provide a live video feed

Sources & evidence