Arduino Nicla Vision is a compact, high-performance AI vision and sensing board designed to build smart, connected projects with on-device intelligence. Available in Bangladesh from BDTronics, Nicla Vision enables edge machine vision, TinyML, motion sensing, audio detection, and distance measurement in a tiny 22.86 × 22.86 mm form factor. Fully compatible with Arduino IoT Cloud, it allows device connectivity, data visualization, remote control, and sharing from anywhere. BDTronics supplies original Arduino Nicla Vision for rapid prototyping and production-ready solutions.

Powered by the STM32H747AII6 dual-core processor (Arm Cortex-M7/M4), Nicla Vision integrates a 2MP color camera with TinyML support, a smart 6-axis IMU, microphone, and Time-of-Flight distance sensor. With Wi-Fi and Bluetooth Low Energy connectivity, MicroPython support, OpenMV integration, and ultra-low power operation suitable for battery use, BDTronics brings a complete edge AI platform to developers, educators, startups, and industrial teams in Bangladesh.

Features:

• Ultra-compact 22.86 × 22.86 mm form factor for space-constrained designs

• Dual-core STM32H747AII6 Arm Cortex-M7/M4 processor for edge intelligence

• Integrated 2MP color camera supporting TinyML and on-device image processing

• 6-axis IMU for motion, vibration, and activity detection

• Integrated microphone for audio sensing and event detection

• Time-of-Flight distance sensor for ranging and presence detection

• Wi-Fi and Bluetooth Low Energy connectivity for IoT applications

• MicroPython and OpenMV support for fast development

• Battery-powered standalone operation with integrated charger and fuel gauge

• Seamless compatibility with Arduino Portenta and MKR ecosystems

• Arduino IoT Cloud compatible for remote monitoring and control

• Supplied by BDTronics Bangladesh for reliable sourcing

Applications:

• Edge AI and machine vision at the device level

• Object recognition, asset tracking, and visual inspection

• Smart home automation and security systems

• Smart agriculture, crop monitoring, and irrigation control

• Industrial monitoring, predictive maintenance, and vibration analysis

• Gesture recognition and human-machine interaction

• Smart kiosks, access control, and PPE detection

• Remote surveillance, doorbell vision, and wildlife monitoring

• Educational AI, TinyML, and embedded vision projects

How to Use:

• Power Nicla Vision via USB, pin header, or Li-Po battery

• Program using Arduino IDE, MicroPython, or OpenMV

• Connect to Arduino IoT Cloud for data visualization and control

• Train TinyML models for vision, audio, or motion tasks

• Deploy standalone or integrate with Portenta and MKR boards

• Use Wi-Fi or Bluetooth Low Energy for connectivity

• Optimize power usage for battery-powered applications

Specifications:

• Microcontroller: STM32H747AII6 Dual Arm Cortex-M7/M4

  • Cortex-M7 up to 480 MHz

  • Cortex-M4 up to 240 MHz

• Sensors:

  • 2MP Color Camera

  • 6-Axis IMU (LSM6DSOX)

  • Time-of-Flight Distance Sensor (VL53L1CBV0FY/1)

  • Microphone (MP34DT05)

• Memory:

  • 2MB Flash

  • 1MB RAM

  • 16MB QSPI Flash for storage

• Connectivity:

  • Wi-Fi

  • Bluetooth Low Energy 4.2 (Murata 1DX)

• I/O:

  • Castellated pins

  • I2C with ESLOV connector

  • JTAG, GPIO pin headers

  • Serial port

  • SPI

  • 2x ADC

  • Programmable I/O voltage 1.8V–3.3V

• Power:

  • High-speed USB 480 Mbps

  • Pin header input

  • 3.7V Li-Po battery support with charger and fuel gauge (MAX17262REWL)

• Security: NXP SE050C2 Crypto chip

• Interface: USB with debug functionality

• Operating Temperature: -20°C to +70°C

• Dimensions: 22.86 mm × 22.86 mm

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