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articles/iot/concepts-iot-device-selection.md

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ms.author: timlt
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ms.service: azure-iot
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ms.topic: conceptual
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ms.date: 04/04/2024
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ms.date: 11/08/2024
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# IoT device selection list
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| ---- | ---- | ---- | ----| ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- |
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| [Azure Sphere MT3620 Dev Kit](https://aka.ms/IotDeviceList/Sphere) | ~$40 - $100 | Highly secure applications | C/C++, VS Code, VS | 500 MHz & 200 MHz | MT3620 (tri-core--1 x Cortex A7, 2 x Cortex M4) | 4-MB RAM + 2 x 64-KB RAM | Certifications: CE/FCC/MIC/RoHS | 4 x Digital IO, 1 x I2S, 4 x ADC, 1 x RTC | - | Dual-band 802.11 b/g/n with antenna diversity | - | 5 V | 1. [Azure Sphere Samples Gallery](https://github.com/Azure/azure-sphere-gallery#azure-sphere-gallery), 2. [Azure Sphere Weather Station](https://www.hackster.io/gatoninja236/azure-sphere-weather-station-d5a2bc)| N/A |
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| [Adafruit HUZZAH32 – ESP32 Feather Board](https://aka.ms/IotDeviceList/AdafruitFeather) | ~$20 - $25 | Monitoring; Beginner IoT; Home automation | Arduino IDE, VS Code | 240 MHz | 32-Bit ESP32 (dual-core Tensilica LX6) | 4 MB SPI Flash, 520 KB SRAM | Hall sensor, 10x capacitive touch IO pins, 50+ add-on boards | 3 x UARTs, 3 x SPI, 2 x I2C, 12 x ADC inputs, 2 x I2S Audio, 2 x DAC | - | 802.11b/g/n HT40 Wi-Fi transceiver, baseband, stack and LWIP, Bluetooth and BLE || 3.3 V | 1. [Scientific freezer monitor](https://www.hackster.io/adi-azulay/azure-edge-impulse-scientific-freezer-monitor-5448ee), 2. [Azure IoT SDK Arduino samples](https://github.com/Azure/azure-sdk-for-c-arduino) | [Arduino Uno WiFi Rev 2 (~$50 - $60)](https://aka.ms/IotDeviceList/ArduinoUnoWifi) |
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| [Arduino Nano 33 BLE Sense](https://aka.ms/IotDeviceList/ArduinoNanoBLE) | ~$30 - $35 | Monitoring; ML; Game controller; Beginner IoT | Arduino IDE, VS Code | 64 MHz | 32-bit Nordic nRF52840 (Cortex M4F) | 1 MB Flash, 256 KB SRAM | 9-axis inertial sensor, Humidity and temp sensor, Barometric sensor, Microphone, Gesture, proximity, light color and light intensity sensor | 14 x Digital IO, 1 x UART, 1 x SPI, 1 x I2C, 8 x ADC input | - | Bluetooth and BLE | - | 3.3 V – 21 V | 1. [Connect Nano BLE to Azure IoT Hub](https://create.arduino.cc/projecthub/Arduino_Genuino/securely-connecting-an-arduino-nb-1500-to-azure-iot-hub-af6470), 2. [Monitor beehive with Azure Functions](https://www.hackster.io/clementchamayou/how-to-monitor-a-beehive-with-arduino-nano-33ble-bluetooth-eabc0d) | [Seeed XIAO BLE sense (~$15 - $20)](https://aka.ms/IotDeviceList/SeeedXiao) |
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| [Arduino Nano RP2040 Connect](https://aka.ms/IotDeviceList/ArduinoRP2040Nano) | ~$20 - $25 | Remote control; Monitoring | Arduino IDE, VS Code, C/C++, MicroPython | 133 MHz | 32-bit RP2040 (dual-core Cortex M0+) | 16 MB Flash, 264-kB RAM | Microphone, Six-axis IMU with AI capabilities | 22 x Digital IO, 20 x PWM, 8 x ADC | - | WiFi, Bluetooth | - | 3.3 V | - |[Adafruit Feather RP2040 (NOTE: also need a FeatherWing for WiFi)](https://aka.ms/IotDeviceList/AdafruitRP2040) |
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| [ESP32-S2 Saola-1](https://aka.ms/IotDeviceList/ESPSaola) | ~$10 - $15 | Home automation; Beginner IoT; ML; Monitoring; Mesh networking | Arduino IDE, Circuit Python, ESP IDF | 240 MHz | 32-bit ESP32-S2 (single-core Xtensa LX7) | 128 kB Flash, 320 kB SRAM, 16 kB SRAM (RTC) | 14 x capacitive touch IO pins, Temp sensor | 43 x Digital pins, 8 x PWM, 20 x ADC, 2 x DAC | Serial LCD, Parallel PCD | Wi-Fi 802.11 b/g/n (802.11n up to 150 Mbps) | - | 3.3 V | 1. [Secure face detection with Azure ML](https://www.hackster.io/achindra/microsoft-azure-machine-learning-and-face-detection-in-iot-2de40a), 2. [Azure Cost Monitor](https://www.hackster.io/jenfoxbot/azure-cost-monitor-31811a) | [ESP32-DevKitC (~$10 - $15)](https://aka.ms/IotDeviceList/ESPDevKit) |
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| [Wio Terminal (Seeed Studio)](https://aka.ms/IotDeviceList/WioTerminal) | ~$40 - $50 | Monitoring; Home Automation; ML | Arduino IDE, VS Code, MicroPython, ArduPy | 120 MHz | 32-bit ATSAMD51 (single-core Cortex-M4F) | 4 MB SPI Flash, 192-kB RAM | On-board screen, Microphone, IMU, buzzer, microSD slot, light sensor, IR emitter, Raspberry Pi GPIO mount (as child device) | 26 x Digital Pins, 5 x PWM, 9 x ADC | 2.4" 320x420 Color LCD | dual-band 2.4Ghz/5Ghz (Realtek RTL8720DN) | - | 3.3 V | [Monitor plants with Azure IoT](https://github.com/microsoft/IoT-For-Beginners/tree/main/2-farm/lessons/4-migrate-your-plant-to-the-cloud) | [Adafruit FunHouse (~$30 - $40)](https://aka.ms/IotDeviceList/AdafruitFunhouse) |

articles/iot/tutorial-devkit-stm-b-l475e-iot-hub.md

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#Customer intent: As a device builder, I want to see a working IoT device sample connecting to IoT Hub and sending properties and telemetry, and responding to commands. As a solution builder, I want to use a tool to view the properties, commands, and telemetry an IoT Plug and Play device reports to the IoT hub it connects to.
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SUCCESS: Connected to IoT Hub
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```
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> [!IMPORTANT]
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> If the DNS client initialization fails and notifies you that the Wi-Fi firmware is out of date, you'll need to update the Wi-Fi module firmware. Download and install the [Inventek ISM 43362 Wi-Fi module firmware update](https://www.st.com/resource/en/utilities/inventek_fw_updater.zip). Then press the **Reset** button on the device to recheck your connection, and continue with this tutorial.
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> If the DNS client initialization fails and notifies you that the Wi-Fi firmware is out of date, you'll need to update the Wi-Fi module firmware. Download and install the Inventek ISM 43362 Wi-Fi module firmware update from [STMicroelectronics](https://www.st.com/). Then press the **Reset** button on the device to recheck your connection, and continue with this tutorial.
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Keep Termite open to monitor device output in the following steps.

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