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Nicla Vision projects and builds

Compact machine-vision board with a 2 MP camera, dual-core STM32H7, microphone, IMU and time-of-flight distance sensor.

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Nicla Vision product photograph
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Why it belongs on the bench

Arduino Nicla Vision is a compact machine-vision board built around a dual-core STM32H747, two-megapixel camera, microphone, six-axis motion sensor, time-of-flight distance sensor, Wi-Fi and Bluetooth LE. Its OpenMV and MicroPython support suits the catalogue’s camera getting-started workflow and custom Edge Impulse image-classification project. Firmware choice matters: uploading an Arduino sketch replaces the shipped OpenMV environment, and returning to OpenMV requires a DFU recovery and firmware reinstall. Models also need to fit the board’s internal flash; Arduino’s classification guide recommends a small MobileNetV2 configuration and warns that larger ROM footprints are unlikely to fit.

Explore more Arduino devices and projects.

Nicla Vision projects and open-source builds

Guides for Nicla Vision

Start an edge-AI camera project: XIAO Sense vs Nicla Vision vs Watcher

Choose XIAO ESP32S3 Sense for the lowest-cost camera prototype, Nicla Vision for a compact OpenMV/TinyML development board with richer onboard sensing, and SenseCAP Watcher for a packaged event-detection appliance that integrates with automation systems. Prove capture and lighting first, then measure an inference model on examples from the real deployment rather than trusting a demo score.

3 devices

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