Fix device table

Author: edlamie80

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

@@ -157,27 +157,27 @@ Terminology and acronyms are listed in alphabetical order.
 
 ## MCU device list
 
-Following is a comparison table of MCUs in alphabetical order. This isn't an exhaustive list and is intended to be short.
+Following is a comparison table of MCUs in alphabetical order. Please note this is an intentionally brief list, it is not intended to be exhaustive. This list is for educational purposes only, it is not intended to endorse any products. 
 
-| Board Name | Price (USD) | What is it used for? | Software| Speed | Processor | Memory | Onboard Sensors and Other Features | IO Pins | Video | Radio | Battery Connector? | Operating Voltage | Getting Stated Guides | **Alternatives** |
+| Board Name | Price Range (USD) | What is it used for? | Software| Speed | Processor | Memory | Onboard Sensors and Other Features | IO Pins | Video | Radio | Battery Connector? | Operating Voltage | Getting Stated Guides | **Alternatives** |
 | ---- | ---- | ---- | ----| ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- |
-| [Azure Sphere MT3620 Dev Kit](https://aka.ms/IotDeviceList/Sphere) | $43 - $94 | 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 |
-| [Adafruit HUZZAH32 – ESP32 Feather Board](https://aka.ms/IotDeviceList/AdafruitFeather) | $20 | 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](https://aka.ms/IotDeviceList/ArduinoUnoWifi) |
-| [Arduino Nano 33 BLE Sense](https://aka.ms/IotDeviceList/ArduinoNanoBLE) | $33 | 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 ($16)](https://aka.ms/IotDeviceList/SeeedXiao) |
-| [Arduino Nano RP2040 Connect](https://aka.ms/IotDeviceList/ArduinoRP2040Nano) | $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) |
-| [ESP32-S2 Saola-1](https://aka.ms/IotDeviceList/ESPSaola) | $9 | 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](https://aka.ms/IotDeviceList/ESPDevKit) |
-| [Wio Terminal (Seeed Studio)](https://aka.ms/IotDeviceList/WioTerminal) | $37 | 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 ($35)](https://aka.ms/IotDeviceList/AdafruitFunhouse) |
+| [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 |
+| [Adafruit HUZZAH32 – ESP32 Feather Board](https://aka.ms/IotDeviceList/AdafruitFeather) | ~$20 | 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](https://aka.ms/IotDeviceList/ArduinoUnoWifi) |
+| [Arduino Nano 33 BLE Sense](https://aka.ms/IotDeviceList/ArduinoNanoBLE) | ~$30 | 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 ($16)](https://aka.ms/IotDeviceList/SeeedXiao) |
+| [Arduino Nano RP2040 Connect](https://aka.ms/IotDeviceList/ArduinoRP2040Nano) | ~$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) |
+| [ESP32-S2 Saola-1](https://aka.ms/IotDeviceList/ESPSaola) | ~$10 | 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](https://aka.ms/IotDeviceList/ESPDevKit) |
+| [Wio Terminal (Seeed Studio)](https://aka.ms/IotDeviceList/WioTerminal) | ~$40 | 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 ($35)](https://aka.ms/IotDeviceList/AdafruitFunhouse) |
 
 ## SBC device list
 
-Following is a comparison table of SBCs in alphabetical order. This table isn't an exhaustive list and is intended to be short.
+Following is a comparison table of SBCs in alphabetical order. Please note this is an intentionally brief list, it is not intended to be exhaustive. This list is for educational purposes only, it is not intended to endorse any products.
 
-| Board Name | Price (USD) | What is it used for? | Software| Speed | Processor | Memory | Onboard Sensors and Other Features | IO Pins | Video | Radio | Battery Connector? | Operating Voltage | Getting Started Guides | **Alternatives** |
+| Board Name | Price Range (USD) | What is it used for? | Software| Speed | Processor | Memory | Onboard Sensors and Other Features | IO Pins | Video | Radio | Battery Connector? | Operating Voltage | Getting Started Guides | **Alternatives** |
 | ---- | ---- | ---- | ----| ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ----|
-| [Raspberry Pi 4, Model B](https://aka.ms/IotDeviceList/RpiModelB) | $35/$55/$75 | Home automation; Robotics; Autonomous vehicles; Control systems; Field science | Raspberry Pi OS, Raspbian, Ubuntu 20.04/21.04, RISC OS, Windows 10 IoT, more | 1.5 GHz CPU, 500 MHz GPU | 64-bit Broadcom BCM2711 (quad-core Cortex-A72), VideoCore VI GPU | 2GB/4GB/8GB LPDDR4 RAM, SD Card (not included) | 2 x USB 3 ports, 1 x MIPI DSI display port, 1 x MIPI CSI camera port, 4-pole stereo audio and composite video port, Power over Ethernet (requires HAT) | 26 x Digital, 4 x PWM | 2 micro-HDMI composite, MPI DSI | WiFi, Bluetooth | √ | 5 V | 1. [Send data to IoT Hub](https://www.hackster.io/jenfoxbot/how-to-send-see-data-from-a-raspberry-pi-to-azure-iot-hub-908924), 2. [Monitor plants with Azure IoT](https://github.com/microsoft/IoT-For-Beginners/tree/main/2-farm/lessons/4-migrate-your-plant-to-the-cloud)| [BeagleBone Black Wireless ($55)](https://aka.ms/IotDeviceList/BeagleBoard) |
-| [NVIDIA Jetson 2 GB Nano Dev Kit](https://aka.ms/IotDeviceList/NVIDIAJetson) | $54/$99 | AI/ML; Autonomous vehicles | Ubuntu-based JetPack | 1.43 GHz CPU, 921 MHz GPU | 64-bit Nvidia CPU (quad-core Cortex-A57), 128-CUDA-core Maxwell GPU coprocessor | 2GB/4GB LPDDR4 RAM | 472 GFLOPS for AI Perf, 1 x MIPI CSI-2 connector | 28 x Digital, 2 x PWM | HDMI, DP (4 GB only) | Gigabit Ethernet, 802.11ac WiFi | √ | 5 V | [Deepstream integration with Azure IoT Central](https://www.hackster.io/pjdecarlo/nvidia-deepstream-integration-with-azure-iot-central-d9f834) | [BeagleBone AI ($116)](https://aka.ms/IotDeviceList/BeagleBoneAI) |
-| [Raspberry Pi Zero W2](https://aka.ms/IotDeviceList/RpiZeroW) | $15 | Home automation; ML; Vehicle modifications; Field Science | Raspberry Pi OS, Raspbian, Ubuntu 20.04/21.04, RISC OS, Windows 10 IoT, more | 1 GHz CPU, 400 MHz GPU | 64-bit Broadcom BCM2837 (quad-core Cortez-A53), VideoCore IV GPU | 512 MB LPDDR2 RAM, SD Card (not included) | 1 x CSI-2 Camera connector | 26 x Digital, 4 x PWM | Mini-HDMI | WiFi, Bluetooth | - | 5 V | [Send and visualize data to Azure IoT Hub](https://www.hackster.io/jenfoxbot/how-to-send-see-data-from-a-raspberry-pi-to-azure-iot-hub-908924) | [Onion Omega2+ ($13)](https://onion.io/Omega2/) |
-| [DFRobot LattePanda](https://aka.ms/IotDeviceList/DFRobotLattePanda) | $99/$159 | Home automation; Hyperscale cloud connectivity; AI/ML | Windows 10, Ubuntu 16.04, OpenSuSE 15 | 1.92 GHz | 64-bit Intel Z8350 (quad-core x86-64), Atmega32u4 coprocessor | 2 GB DDR3L RAM, 32 GB eMMC/4GB DDR3L RAM, 64-GB eMMC | - | 6 x Digital (20 x via Atmega32u4), 6 x PWM, 12 x ADC | HDMI, MIPI DSI | WiFi, Bluetooth | √ | 5 V | 1. [Getting started with Microsoft Azure](https://www.hackster.io/45361/dfrobot-lattepanda-with-microsoft-azure-getting-started-0ae8fb), 2. [Home Monitoring System with Azure](https://www.hackster.io/JiongShi/home-monitoring-system-based-on-lattepanda-zigbee-and-azure-ce4e03)| [Seeed Odyssey X86J4125800 ($218)](https://aka.ms/IotDeviceList/SeeedOdyssey) |
+| [Raspberry Pi 4, Model B](https://aka.ms/IotDeviceList/RpiModelB) | ~$30 - $80 | Home automation; Robotics; Autonomous vehicles; Control systems; Field science | Raspberry Pi OS, Raspbian, Ubuntu 20.04/21.04, RISC OS, Windows 10 IoT, more | 1.5 GHz CPU, 500 MHz GPU | 64-bit Broadcom BCM2711 (quad-core Cortex-A72), VideoCore VI GPU | 2GB/4GB/8GB LPDDR4 RAM, SD Card (not included) | 2 x USB 3 ports, 1 x MIPI DSI display port, 1 x MIPI CSI camera port, 4-pole stereo audio and composite video port, Power over Ethernet (requires HAT) | 26 x Digital, 4 x PWM | 2 micro-HDMI composite, MPI DSI | WiFi, Bluetooth | √ | 5 V | 1. [Send data to IoT Hub](https://www.hackster.io/jenfoxbot/how-to-send-see-data-from-a-raspberry-pi-to-azure-iot-hub-908924), 2. [Monitor plants with Azure IoT](https://github.com/microsoft/IoT-For-Beginners/tree/main/2-farm/lessons/4-migrate-your-plant-to-the-cloud)| [BeagleBone Black Wireless ($55)](https://aka.ms/IotDeviceList/BeagleBoard) |
+| [NVIDIA Jetson 2 GB Nano Dev Kit](https://aka.ms/IotDeviceList/NVIDIAJetson) | ~$50 - $100 | AI/ML; Autonomous vehicles | Ubuntu-based JetPack | 1.43 GHz CPU, 921 MHz GPU | 64-bit Nvidia CPU (quad-core Cortex-A57), 128-CUDA-core Maxwell GPU coprocessor | 2GB/4GB LPDDR4 RAM | 472 GFLOPS for AI Perf, 1 x MIPI CSI-2 connector | 28 x Digital, 2 x PWM | HDMI, DP (4 GB only) | Gigabit Ethernet, 802.11ac WiFi | √ | 5 V | [Deepstream integration with Azure IoT Central](https://www.hackster.io/pjdecarlo/nvidia-deepstream-integration-with-azure-iot-central-d9f834) | [BeagleBone AI ($116)](https://aka.ms/IotDeviceList/BeagleBoneAI) |
+| [Raspberry Pi Zero W2](https://aka.ms/IotDeviceList/RpiZeroW) | ~$15 | Home automation; ML; Vehicle modifications; Field Science | Raspberry Pi OS, Raspbian, Ubuntu 20.04/21.04, RISC OS, Windows 10 IoT, more | 1 GHz CPU, 400 MHz GPU | 64-bit Broadcom BCM2837 (quad-core Cortez-A53), VideoCore IV GPU | 512 MB LPDDR2 RAM, SD Card (not included) | 1 x CSI-2 Camera connector | 26 x Digital, 4 x PWM | Mini-HDMI | WiFi, Bluetooth | - | 5 V | [Send and visualize data to Azure IoT Hub](https://www.hackster.io/jenfoxbot/how-to-send-see-data-from-a-raspberry-pi-to-azure-iot-hub-908924) | [Onion Omega2+ ($13)](https://onion.io/Omega2/) |
+| [DFRobot LattePanda](https://aka.ms/IotDeviceList/DFRobotLattePanda) | ~$100 - $160 | Home automation; Hyperscale cloud connectivity; AI/ML | Windows 10, Ubuntu 16.04, OpenSuSE 15 | 1.92 GHz | 64-bit Intel Z8350 (quad-core x86-64), Atmega32u4 coprocessor | 2 GB DDR3L RAM, 32 GB eMMC/4GB DDR3L RAM, 64-GB eMMC | - | 6 x Digital (20 x via Atmega32u4), 6 x PWM, 12 x ADC | HDMI, MIPI DSI | WiFi, Bluetooth | √ | 5 V | 1. [Getting started with Microsoft Azure](https://www.hackster.io/45361/dfrobot-lattepanda-with-microsoft-azure-getting-started-0ae8fb), 2. [Home Monitoring System with Azure](https://www.hackster.io/JiongShi/home-monitoring-system-based-on-lattepanda-zigbee-and-azure-ce4e03)| [Seeed Odyssey X86J4125800 ($218)](https://aka.ms/IotDeviceList/SeeedOdyssey) |
 
 ## Questions? Requests?