Arduino Nicla Vision
Tiny 22.86mm AI vision module with STM32H747 dual-core Cortex-M7/M4, 2MP camera, WiFi/BLE, 6-axis IMU, microphone, and time-of-flight sensor — runs TinyML image recognition and OpenMV/MicroPython at the edge.
$65.00
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Specifications
Components
STMicroelectronics STM32H747AII6 with Cortex-M7 at 480MHz and Cortex-M4 at 240MHz, 2MB flash, 1MB RAM.
GalaxyCore GC2145 2-megapixel CMOS image sensor for vision AI and image classification.
STMicroelectronics LSM6DSOX 6-axis IMU with embedded machine learning core.
STMicroelectronics VL53L1 long-range time-of-flight sensor for proximity and distance measurement.
Bus Interfaces
GPIO Map
Overview
The Arduino Nicla Vision packs a complete AI vision system into a 22.86×22.86mm module. Powered by the STM32H747AII6 dual-core processor (Cortex-M7 at 480MHz + Cortex-M4 at 240MHz), it integrates a 2MP GC2145 camera with support for TensorFlow Lite Micro and OpenMV for on-device image classification, object detection, and barcode reading.
Beyond vision, the module includes a 6-axis LSM6DSOX IMU with machine learning core, MP34DT06JTR MEMS microphone, VL53L1CBV0FY time-of-flight distance sensor, and WiFi/BLE connectivity via the Murata 1DX module. This sensor fusion enables sophisticated edge AI applications combining vision, motion, audio, and proximity data.
Compatible with the Portenta, MKR, and Nicla ecosystems, it supports MicroPython and OpenMV for rapid AI prototyping. Designed for quality assurance, predictive maintenance, access control, and smart automation where on-device visual intelligence eliminates the need for cloud processing.
Use Cases
3Security Camera
WiFi-connected camera for surveillance, motion detection, and remote video monitoring.
Industrial IoT
Build robust industrial IoT solutions using CAN bus, RS-485, Modbus, and wired Ethernet interfaces.
IoT
Internet of Things applications including connected sensors, actuators, and smart devices that communicate over WiFi, BLE, LoRa, or other wireless protocols.
Resources
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