The Nicla Vision is an Arduino microcontroller designed for edge processing and machine vision applications, featuring a compact form factor and a range of embedded sensors and connectivity options. Here are the key technical specifications:

Specifications:

• Microcontroller: STM32H747AII6 with a Dual ARM® Cortex®- M7 core (up to 480 MHz) and M4 core (up to 240 MHz).
• I/O: Includes castellated pins featuring 1x I2C bus (with ESLOV connector), JTAG, Power and GPIO pin headers, 1x serial port, 1x SPI, and 2x ADC. The programmable I/O voltage ranges from 1.8V to 3.3V.
• Dimensions: 22.86 mm x 22.86 mm.
• Security: Equipped with an NXP® SE050C2 Crypto chip for enhanced security.
• Power: Supports high-speed USB (500mbps), Pin Header, and a 3.7V Li-Po battery with an integrated battery charger and fuel gauge (MAX17262REWL).
• Connectivity: Wi-Fi® / Bluetooth® Low Energy 4.2 (Murata® 1DX – LBEE5KL1DX-883) for wireless communication.
• Memory: Comes with 2 MB Flash / 1 MB RAM and 16 MB QSPI Flash for storage.
• Interface: USB interface with debug functionality.
• Operating Temperature: Ranges from -20 °C to +70 °C (-4 °F to 158 °F).

Sensors:

• 2MP Color Camera (GC2145 sensor)
• 6-Axis IMU (LSM6DSOX)
• Distance / Time Of Flight sensor (VL53L1CBV0FY/1)
• Microphone (MP34DT05)

The Nicla Vision’s small size, combined with its powerful processing capabilities, advanced sensors, and wireless connectivity, make it suitable for a wide range of applications including asset tracking, object recognition, predictive maintenance, and more. It supports MicroPython, making it easier to develop and deploy applications, and it’s designed to be compatible with Arduino Portenta and MKR products.

Learning Resources:

Nicla Vision Documentation

Applications and Projects:

The Nicla Vision, with its compact and versatile design, is well-suited for a variety of applications across different industries. Its key features, including a 2MP color camera, smart 6-axis motion sensor, integrated microphone, and distance sensor, make it an ideal tool for projects in asset tracking, object recognition, and predictive maintenance. The device’s capabilities are enhanced by its support for Wi-Fi and Bluetooth Low Energy connectivity, allowing for easy integration into existing systems and projects.

Here are some Projects:

• Advanced Machine Vision and Edge Computing Applications: It is designed for processing images directly on the device, supporting applications like image detection, facial recognition, automated optical inspection, and vehicle plate reading. Its powerful dual processor and range of embedded features enable a wide array of applications in building and industrial automation, safety and security, and rapid prototyping.
• Asset Tracking and Predictive Maintenance: The combination of its onboard sensors with the connectivity options makes the Nicla Vision a powerful tool for tracking assets and predicting maintenance needs. Its ability to analyze surface wear and other physical indicators can help businesses implement predictive maintenance strategies, reducing downtime and operational costs.
• Prototyping and Integration: The Nicla Vision is designed to speed up the prototyping of machine vision applications. Its compatibility with other Arduino products, like the Portenta and MKR series, alongside support for MicroPython, ensures that it can be seamlessly integrated into a wide range of projects. Its small size and battery-powered option enhance its flexibility, making it suitable for deployment in challenging environments or locations where power access is limited.