{"product_id":"arduino-nano-33-ble-sense-rev2-board","title":"Arduino Nano 33 BLE Sense Rev2 board","description":"\u003cp\u003e\u003cstrong\u003eThe Arduino Nano 33 BLE Sense Rev2 (ABX00069) is a compact, AI-capable Bluetooth Low Energy development board with a Cortex-M4 MCU and onboard environmental and motion sensors for rapid prototyping.\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003eThis small-form-factor board combines a powerful ARM® Cortex®-M4 processor, Bluetooth Low Energy connectivity, and multiple integrated sensors so you can prototype wearables, smart-room devices, and gesture- or voice-enabled projects without adding separate sensor modules. The Rev2 adds durability and ready-to-use sensing hardware, letting makers and developers focus on algorithms and user experience instead of hardware assembly.\u003c\/p\u003e\n\n\u003ch3\u003eWhat built-in sensors and core electronics are available on the Nano 33 BLE Sense Rev2?\u003c\/h3\u003e\n\n\u003cp\u003eThe board features a set of environmental and motion sensors plus a microphone, all wired to the MCU for local processing. These inputs make it easy to run on-device inference or send processed data over BLE to a smartphone or gateway.\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eARM® Cortex®-M4 microcontroller optimized for real-time signal processing and lightweight ML models\u003c\/li\u003e\n  \u003cli\u003eOnboard microphone for voice and sound event detection\u003c\/li\u003e\n  \u003cli\u003eMotion and gesture sensors to detect orientation, steps, and movement patterns\u003c\/li\u003e\n  \u003cli\u003eTemperature and environmental sensing for indoor monitoring prototypes\u003c\/li\u003e\n  \u003cli\u003eBluetooth Low Energy radio for low-power wireless connectivity\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eHow can I use it to build wearables and AI-enabled projects?\u003c\/h3\u003e\n\n\u003cp\u003eThe Nano 33 BLE Sense Rev2 is designed for low-power, sensor-driven applications such as activity recognition and voice-activated controls. You can run lightweight machine learning models on the Cortex-M4 to classify gestures or sounds locally, reducing latency and preserving privacy.\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eTrain small neural networks and deploy with Arduino libraries for on-device inference\u003c\/li\u003e\n  \u003cli\u003eUse the microphone and gesture sensors for voice or motion-triggered actions\u003c\/li\u003e\n  \u003cli\u003eIntegrate BLE to send alerts or stream summaries to phones or hubs\u003c\/li\u003e\n  \u003cli\u003eLeverage built-in sensors to cut down on external components and assembly time\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWhat practical projects are ideal with this board?\u003c\/h3\u003e\n\n\u003cp\u003eThe combination of sensors and BLE makes this board a fit for prototypes where compact size and intelligent sensing matter. Typical projects include smart thermostats, indoor environment monitors, wearable activity trackers, and interactive gesture controls for consumer devices or art installations.\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eRoom temperature logging and context-aware thermostat suggestions\u003c\/li\u003e\n  \u003cli\u003eWearable movement classifiers that recognize specific activities or poses\u003c\/li\u003e\n  \u003cli\u003eGesture- or voice-controlled prototypes for home automation or accessibility\u003c\/li\u003e\n  \u003cli\u003eSound event detection systems that trigger notifications or record snippets\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eHow do I get started programming and connecting the Nano 33 BLE Sense Rev2?\u003c\/h3\u003e\n\n\u003cp\u003eSetup is straightforward using the Arduino IDE or Arduino Pro Ecosystem tools; example sketches and libraries help accelerate development. The board supports common machine learning and sensor libraries that simplify data capture, preprocessing, and model deployment.\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eInstall the Arduino board package for Nano 33 BLE Sense in the Arduino IDE\u003c\/li\u003e\n  \u003cli\u003eLoad example sketches to test sensors, BLE, and microphone input\u003c\/li\u003e\n  \u003cli\u003eUse Arduino's TinyML and sensor libraries to develop and flash models\u003c\/li\u003e\n  \u003cli\u003ePair the board over BLE to mobile apps or gateways for remote control and telemetry\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eWho is this for: The Nano 33 BLE Sense Rev2 is aimed at makers, product designers, educators, and embedded developers who need a small, robust board with integrated sensing and BLE connectivity for quick prototyping of intelligent, sensor-driven applications. It's especially useful when you want to test on-device machine learning, build compact wearables, or create interactive environmental monitors without wiring multiple separate sensors.\u003c\/p\u003e\n\u003csection class=\"product-faq-snippet\"\u003e\u003ch3\u003eFAQ\u003c\/h3\u003e\n\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eQ: Does the Nano 33 BLE Sense Rev2 support on-device machine learning?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eA: Yes. Its Cortex-M4 MCU can run lightweight ML models; Arduino libraries simplify training and deployment for tasks like gesture and sound classification.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"faq-item\"\u003e\n\u003cp class=\"faq-q\"\u003eQ: Can I connect the board to a smartphone?\u003c\/p\u003e\n\u003cp class=\"faq-a\"\u003eA: Yes. The board includes Bluetooth Low Energy for pairing with mobile apps, gateways, or other BLE-enabled devices.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/section\u003e","brand":"Arduino","offers":[{"title":"Default Title","offer_id":48413414981789,"sku":"B0BQHXVSGM","price":54.65,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0766\/9596\/1757\/files\/arduino-nano-33-ble-sense-rev2-front-view.jpg?v=1781264357","url":"https:\/\/nexoltic.com\/products\/arduino-nano-33-ble-sense-rev2-board","provider":"Nexoltic","version":"1.0","type":"link"}