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
1. How to get started with the Arduino Nicla Vision Development Board?
To begin using the Arduino Nicla Vision, you should connect it to your computer via USB and open the Arduino IDE. Install the required board package and libraries to start programming and exploring its powerful edge AI and computer vision capabilities. This compact board is ready to handle vision tasks right out of the box.
2. How to use the camera on the Arduino Nicla Vision?
The onboard camera of the Nicla Vision Board can capture high-quality images and process them locally. You can use OpenMV or Arduino libraries to perform tasks such as object detection, image recognition, or motion tracking directly on the device. This eliminates the need for cloud processing in many vision applications.
3. How to connect the Nicla Vision Board to other Arduino boards?
The Arduino Nicla Vision supports communication protocols like I2C, SPI, and UART, allowing it to integrate seamlessly with other Arduino boards such as Portenta or MKR series. You can use these connections for more advanced IoT or AI projects that require distributed processing or data sharing.
4. How to deploy AI models on the Arduino Nicla Vision?
You can train AI models using platforms like Edge Impulse and deploy them on the Nicla Vision Development Board. The onboard STM32H7 microcontroller and vision processor enable real-time inference without relying on external hardware. This on-device processing ensures low latency and enhanced privacy for your applications.
5. How to power the Arduino Nicla Vision Board?
The Nicla Vision Board can be powered through a USB connection or an external battery. Its low-power design makes it suitable for portable AI applications like smart cameras or embedded vision systems. The efficient power management extends operational time in battery-powered deployments.
6. How to access sensor data from the Arduino Nicla Vision?
Besides the camera, the Arduino Nicla Vision Development Board features onboard sensors such as an accelerometer and gyroscope. You can access this data through the Arduino IDE and use it to create motion-aware or environmental AI applications. These sensors complement the vision capabilities for richer contextual awareness.
The Arduino Nicla Vision is a compact development board designed for computer vision and edge AI applications, enabling devices to process images and video data locally. You can use it for real-time visual analysis in smart cameras, robotics, or industrial systems. Its on-device processing reduces latency and eliminates cloud dependency.
2. What makes the Nicla Vision board unique?
The Nicla Vision board integrates a powerful microcontroller, a camera module, and motion sensors in a tiny footprint, allowing real-time image recognition and machine learning on the device. You can run neural networks for object detection, facial recognition, or gesture control directly on the board. This all-in-one design simplifies development for vision-based projects.
3. Can the Arduino Nicla Vision be used for IoT projects?
Yes, the Arduino Nicla Vision is ideal for IoT projects that require visual data processing, such as smart surveillance, object detection, and industrial automation systems. You can deploy it in remote monitoring setups where immediate, local decision-making is critical. It connects seamlessly to networks for data logging or alerts.
4. How does the Nicla Vision support edge AI applications?
The Nicla Vision board is optimized for edge AI, allowing it to run machine learning models locally using TensorFlow Lite for Microcontrollers. You can perform image classification, motion detection, and pattern recognition efficiently without sending data to the cloud. This ensures privacy, low latency, and reliable operation in bandwidth-constrained environments.
5. Is the Arduino Nicla Vision compatible with other Arduino boards?
Yes, the Arduino Nicla Vision works seamlessly with other Arduino products and cloud services, making it easy to integrate into larger IoT systems or multi-sensor networks. You can pair it with gateways, actuators, or displays for expanded functionality. Its compatibility ensures smooth interoperability across the Arduino ecosystem.
6. What types of projects can be built with the Nicla Vision board?
You can use the Arduino Nicla Vision for AI-driven cameras, robot vision systems, quality inspection tools, and environmental monitoring applications requiring image-based decision-making. Build smart doorbells, defect detectors, or autonomous robots with visual feedback. Its compact size and powerful processing make it ideal for embedded vision solutions.
This product comes with a 1-year manufacturer warranty from the date of purchase, covering manufacturing defects only.
Warranty Void If:
The product shows signs of physical damage, mishandling, exposure to water/moisture, fire, natural calamities, unauthorized repairs, improper storage near heat or direct sunlight, or alteration in any way.
The module is working fine i wished you guys had a soldered one and i think you missed the anntena for this module so make sure to provide one with this module