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- Compact AI-Enabled Microcontroller: The Arduino Nano 33 BLE Sense Rev2 is a versatile 3.3V board designed for developers seeking a compact solution for AI and IoT projects. With its small form factor, this board is perfect for prototyping wearable devices and smart applications that require minimal space and powerful capabilities, allowing you to dive into development right away.
- Comprehensive Sensor Suite: Equipped with an array of built-in sensors, including an IMU for motion detection, a microphone for audio processing, and sensors for temperature, humidity, light, color, and pressure, the Nano 33 BLE Sense Rev2 allows you to create innovative projects without the need for additional components. This comprehensive suite enables projects like gesture recognition and environmental monitoring.
- Edge Computing with TinyML: Take advantage of the board's capability to run Edge Computing applications using TinyML, making it possible to process data directly on the device. Leverage TensorFlow Lite to build AI models for recognizing movements, sounds, and other inputs, ensuring real-time responses and functionality without reliance on cloud services.
- Flexible Connectivity Options: Featuring Bluetooth Low Energy (BLE) connectivity, the Arduino Nano 33 BLE Sense Rev2 can seamlessly communicate with smartphones, tablets, and other devices. This connectivity opens the door to a range of applications, including remote monitoring, smart home integration, and interaction with mobile apps, enhancing the versatility of your projects.
- Robust Performance and Development Ease: Powered by the nRF52840 microcontroller with a clock speed of 64MHz, this board offers 1MB of flash memory and 256KB of SRAM for efficient processing and storage. With 14 digital input/output pins, 8 analog input pins, and comprehensive PWM capabilities, the Arduino Nano 33 BLE Sense Rev2 supports a wide variety of applications, making it a valuable tool for hobbyists and professionals alike.
Arduino Nano 33 BLE Sense Rev2 - [ABX00070] is a 3.3V AI-enabled chip in the smallest form factor available, with sensors that allow you to start programming your next project right away without any external hardware.
