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Official Arduino Nicla Vision Development Board
Official Arduino Nicla Vision Development Board
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- Powerful STM32H747AII6 Dual ARM Cortex M7/M4 processor
- 2MP color camera with support for TinyML and on-device image processing
- Compact form factor: 22.86 x 22.86 mm, battery-operable
- Includes motion sensor, microphone, and distance sensor
- Compatible with Arduino Portenta and MKR boards
- Supports OpenMV and MicroPython for flexible development
- Built-in WiFi and Bluetooth Low Energy connectivity
- Fully integrates with Arduino IoT Cloud for remote monitoring and control
- Ideal for edge AI, smart environments, object detection, and predictive maintenance
Official Arduino Nicla Vision Development Board
The Official Arduino Nicla Vision is a compact and powerful board designed to bring machine vision and edge AI capabilities to your next smart project.
This Arduino microcontroller Equipped with an STM32H747AII6 Dual ARM Cortex M7/M4 processor and a 2MP color camera, it supports on-device TinyML for applications like object recognition and predictive maintenance.
It also features a 6-axis motion sensor, integrated microphone, and a distance sensor, making it ideal for smart environments such as automated homes and intelligent gardens.
The Nicla Vision development board is compatible with Arduino Portenta and MKR boards, integrates seamlessly with OpenMV, and supports MicroPython for rapid development.
With built-in WiFi and Bluetooth Low Energy, it enables remote connectivity and control via the Arduino IoT Cloud. Despite its advanced capabilities, it comes in a tiny 22.86 x 22.86 mm form factor and can be battery-powered for fully standalone applications.
Whether you're a beginner or a pro, Nicla Vision is your gateway to developing smart, connected solutions with ease.
Features:
- Ultra-Compact Size: Tiny 22.86 x 22.86 mm form factor – ideal for embedded applications
- Edge AI Capabilities: Powerful STM32H747AII6 Dual ARM® Cortex® M7/M4 processor for on-device intelligence
- Integrated sensors: 6-axis smart motion sensor, Built-in microphone, Distance sensor
- Wireless Connectivity: Equipped with Wi-Fi and Bluetooth® Low Energy for seamless IoT integration
- MicroPython Support: Program and prototype rapidly with MicroPython compatibility
- Battery Operable: Supports standalone operation with battery power for mobile or remote use
- Flexible Integration: Easily adds sensing and vision capabilities to existing projects
- Rapid Prototyping: Speeds up development of machine vision and edge AI prototypes
- Arduino Official Product: Part of the Arduino ecosystem – compatible with Portenta and MKR families
Arduino Nicla Vision Pinout Diagram:

Package Includes:
- 1 x Official Arduino Nicla Vision
Specifications:
Parameter | Details |
---|---|
Item Type | Development Board |
Model Type | Nicla |
Model No. | ABX00051 |
Microcontroller | STM32H747AII6 Dual ARM® Cortex® – M7 (480 MHz) + M4 (240 MHz) |
Sensors | - 2MP Color Camera - 6-Axis IMU (LSM6DSOX) - Distance / ToF Sensor (VL53L1CBV0FY/1) - Microphone (MP34DT05) |
I/O Ports | - 1x Serial Port - 1x SPI - 2x ADC - 1x I2C Bus - JTAG - ESLOV Connector - Castellated GPIO Headers - Programmable I/O Voltage: 1.8V–3.3V |
Security | NXP® SE050C2 Crypto Chip |
Operating Power | - High-speed USB (500 Mbps) - Pin Header - 3.7V Li-Po Battery - Integrated Charger & Fuel Gauge (MAX17262REWL) |
Connectivity | Wi-Fi / Bluetooth® Low Energy 4.2 (Murata® 1DX – LBEE5KL1DX-883) |
Memory | 2MB Flash, 1MB RAM, 16MB QSPI Flash (External Storage) |
Interface | USB with Debug Functionality |
Operating Temperature | -20°C to +70°C (-4°F to 158°F) |
Dimensions | 22.86 x 22.86 mm |
Shipping & Returns
Shipping & Returns
- All orders confirmed before 3 pm IST are shipped on the
same day, barring rare pickup delays on holidays or disturbances - Delivery time in Metro cities is 1-3 days, Others it is
3-7 days. It varies based on location, reliant on courier services - Return window: 7 days from receipt unless stated
otherwise. No refunds/replacements after - Returns only for non-working/damaged products are accepted
- Initiate return requests to our customer service team via Support ticket or contact us at +91-8123057137
- Refunds are processed within 3-4 working days post inspection and approval.
For more details, please check our Shipping and Return Policy
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