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One of the challenges of using IoT enabled MCU is the power consumption. However, on Ameba, you can keep the WiFi on while in sleep mode thus enabling power saving and connectivity. Here is a demo of how to achieve WiFi in sleep mode. Preparation Ameba x 1 DHT11/DHT22/DHT21 x 1 Example In deepsleep mode, the WiFi feature of Ameba is disabled. If you want to save power and keep the WiFi connection at the same time, please use the sleep API. Open "File" -> "Examples" -> "AmebaPowerSave" -> "SleepWithDHTUdpServ" Remember to set the ssid & password in the sample code. In this example, Ameba act as an UDP server, it establishes a wifi connection then enter sleep mode. When Ameba receives UDP packets with content "H", it replies the humidity value, and when it receives UDP packets with content "T", it replies the temperature value. When the sleep mode is enabled, Ameba goes to sleep or wakes up automatically. We use the "Sokit" tool to set the IP & port of Ameba, and request for temperature and humidity values in turn. Note that Ameba would check the status of pin D18, if it is connected to the GND, Ameba would not enter sleep mode. We compare the example with/without power-saving: (We use the Keysight 34465A multimeter in the experiment) NOTE: In reality, due to the energy loss in the voltage conversion and operation, the actual usage time may be different.

BLE connections use a server client model. The server contains the data of interest, while the client connects to the server to read the data. Commonly, a Bluetooth peripheral device acts as a server, while a Bluetooth central device acts as a client. Servers can contain many services, with each service containing a some set of data. Clients can send requests to read or write some data and can also subscribe to notifications so that the server can send data updates to a client. In this example, a basic battery service is set up on the Ameba Bluetooth stack. A mobile phone is used to connect the the Ameba peripheral device and read the battery data. GitHub page https://github.com/Realtek-AmebaApp/ Official pages https://www.amebaiot.com/en/ Facebook pages https://www.facebook.com/groups/AmebaIoT/

Ameba RTL8195AM has onboard NFC tag and run on ARM Cortex-M3 core with WiFi, just nice to make use of all these 3 powerful tool to make an useful applicaiton. Many models of Android smart phone support NFC feature, and numerous of NFC applications are developed for inspection and modification of NFC Tag. In this example, we establish NFC connection between Ameba and a smartphone, and open a webpage on the smartphone via a NFC event. Preparation Ameba x 1 Smartphone with NFC feature x 1 Note: Make sure the onboard NFC antenna is safely connected to the module. Then open the example, "File" -> "Examples" -> "AmebaNFC" -> "UriWebPage" and upload, you will see this message when you tap your NFC-enabled phone on Ameba For more details, refer to the offical website at https://www.amebaiot.com/en/ameba-arduino-nfc-open-web/ Also feel free to join the Facebook group to discuss with other makers! https://www.facebook.com/groups/AmebaIoT

With COVID-19 still wreaking havoc globally, causing thousands of deaths, millions hospitalized, any useful medical device is on high demand, especially household medical device like IR non-contact thermometer. Handheld thermometer usually is on high price point and is hard to come by these days, but the components needed to make thermometer are not that expensive, that give us the perfect reason to DIY one during this lockdown period. This ThermoGun project use Ameba Dev. board RTL8710AF from Realtek, which connects to an OLED display to show temperature data obtained from the MLX90615 IR sensor. Pushing the push button not only perform data acquisition and visualization, but also publish the data via MQTT to all subscribers. Note: The MQTT service used in this project is a FREE MQTT broker hosted at cloud.amebaiot.com, which need to register at www.amebaiot.com . Details of registration is at the link below, https://www.amebaiot.com/en/cloud-getting-started/ For details of step-by-step guide and connections, please refer to Github page here, https://github.com/Realtek-AmebaApp/Ameba_Examples/tree/master/RTL8195AM/007_THERMOGUN Demo Video: https://youtu.be/Yl3arBRmyYI

This project use Ameba Dev. board RTL8710AF, which connects to an OLED display to show temperature data obtained from the MLX90615 IR sensor. Pushing the push button not only perform data acquisition and visualization, but also publish the data via MQTT to all subscribers. The casing is using 3D printing all 3D design files will be open source on github page. GitHub page https://github.com/Realtek-AmebaApp/ Official pages https://www.amebaiot.com/en/ Facebook pages https://www.facebook.com/groups/AmebaIoT/

Accessing internet service is an easy job for a smart device like an android phone, tablet or a PC, but not so easy on microcontrollers since it usually requires better connectivity and processing power. However, we may offload the heavy part of the job to IFTTT to help us accomplish a great variety of internet service with ease. This tutorial will show you how to make use of IFTTT to do just that. Introduction to IFTTT IFTTT, known as If This Then That, is a website and mobile app and free web-based service to create the applets, or the chains of simple conditional statements. The applet is triggered by changes that occur within other web services such as Gmail, Facebook, Telegram, Instagram, Pinterest etc. Preparation Ameba x 1 An account from https://ifttt.com/ , in order to access IFTTT service* For detailed step-by-step guide, you may refer to link below, https://www.amebaiot.com/en/ifttt-via-ameba/

Now that most people stay at home to avoid close contact with potential COVID-19 virus carrier, air quality becomes an important factor to people’s well-being, especially in tropical countries where using air-con is a must during the day, as prolonged use of air-con may do more bad than good to people’s respiration system thus weakening our immunity and make people more susceptible to virus infection. Here I am going to show you how to make a simple yet powerful air quality monitoring system using Realtek Ameba RTL8195AM development board and PM2.5 module, together with a TFT LCD display to create a colourful interface. Preparation § Ameba x 1 § ILI9341 TFT LCD with SPI interface x 1 § Plantower PMS3003 or PMS5003 x 1 Example This example extends previous PM2.5 example to show the PM2.5 concentration on the LCD. Wiring of QVGA TFT LCD: (Note: PMS3003/PMS5003 sensor requires 5V voltage) Open the example, "Files" -> "Examples" -> "AmebaSPI" -> "PM25_on_ILI9341_TFT_LCD" Compile and upload to Ameba, then press the reset button. Then you can see the concentration value of PM1.0, PM2.5 and PM10 on the LCD. Code Reference In this example, first rotate the screen by 90 degrees, and draw the static components such as the circles, the measuring scale and the title text. After the concentration value is detected, it is printed inside the circle. To know more about the details, click the link below, https://www.amebaiot.com/en/ameba-arduino-spi-lcd-pm2-5/

MQTT (Message Queuing Telemetry Transport) is a protocol proposed by IBM and Eurotech. IBM® Watson™ IoT Platform is, by the official definition, “A foundational cloud offering that can connect and control IoT sensors, appliances, homes, and industries. Built on IBM Cloud, Watson IoT Platform provides an extensive set of built-in and add-on tools. Use these tools to process IoT data with real-time and historical analytics, extract key performance indicators (KPIs) from your data, add “smarts” in the cloud for non-smart products, and securely connect your own apps and existing tools to the Watson IoT Platform infrastructure.” (IBM, 2020) This platform provides easy web interface to register, connect and visualize our IOT devices. For quick start and simple try-out, registration is not necessary, we may just run our program to get the device ID needed for this platform. Preparation § Ameba x 1 Example In this example, we will take a look at how to make use of IBM Watson IOT platform for out IOT project. Open the MQTT example “File” -> “Examples” -> “AmebaMQTTClient” -> “ibm_watson_iot_quickstart” Make sure the Wi-Fi information is properly filled in and we are ready to upload the code to ameba. Once uploading finished, open a serial monitor and we shall see information as follows, Important: Please take note of the string of characters on the first line of the picture above -- “clientId:quickstart:iotsample-ameba:ac35ee15608e” “ac35ee15608e” is the device ID as well as the MAC address of the ameba board used here which will NOT be the same for other cases, so make sure to copy down the device ID displayed on your serial monitor. Next, we click the IBM IOT platform link provided here and open our browser: https://quickstart.internetofthings.ibmcloud.com/#/ Paste the device ID we just copied into the box highlighted below, If the device ID keyed in is correct, some fake temperature data that our ameba published will be visualized like this, Done! Now you have FREE and working IOT cloud platform to help you visualize your IOT data in realtime~

This project is the second one in the new IOT project series on Ameba RTL8195AM Dev. Board. The focus of this project is to demonstrates how easy it is for Ameba Wi-Fi Dev. board to communicate with our smart phone via MQTT protocol. Phone to microcontroller communication used to be very difficult as they use totally different hardware interface and phone get its data mainly through the network. Now with a Wi-Fi enabled microcontroller like Ameba RTL8195AM, communication with our phone becomes a bliss. Of course, in this project, only a mini hand-crafted window is used for demonstration purpose but controlling a real window should not be a problem if you simply replace the servo motor with a bigger DC step motor and change the source code accordingly. With this smart curtain system, you may, 1. Remotely control your curtain to open or close instantaneously 2. Check your curtain status according to the MQTT message received 3. Link with the previous weather station project and automate your room from there Hardware List of hardware needed Ameba 1 RTL8195AM x1 Servo motor x1 Jumper wires x3 DIY materials x3 Hardware connection is shown below, for the window, you may use a Lego house as substitute or simply build one using plywood or hard form board, the exact structure can also be found in this folder. Software 1. Check and make sure you have installed the ameba 1 board to Arduino IDE via adding this link into “additional boards manager URLs” under “Preference”, and install it in “board manager” under “Tools”, https://github.com/ambiot/amb1_arduino/raw/master/Arduino_package/package_realtek.com_ameba1_index.json 2. Upload source code to your Ameba1 RTL8195 board using arduino IDE 3. Install a MQTT client App on your smart device (android/iOS) a) To use a MQTT service, you must first get a free MQTT server address b) Go to www.amebaiot.com and register for a user c) Then go to cloud service tab and register your device d) Once approved, the same username and password used for registration can be used to make use of the MQTT service for free 4. Connect to your MQTT server by keying in the correct server address, port number, username and password • For Host name: cloud.amebaiot.com • For Port number: 1883 • For username: same as your amebaiot.com username • For password: same as your amebaiot.com password 5. Key in the topics that you specified in the code, always remember to swap the publish topic and subscribe topic when you want to monitor your microcontroller’s published data.

The focus of this project is to demonstrates how easy it is for Ameba Wi-Fi Dev. board to communicate with our smart phone via MQTT protocol. Phone to microcontroller communication used to be very difficult as they use totally different hardware interface and phone get its data mainly through the network. Now with a Wi-Fi enabled microcontroller like Ameba RTL8195AM, communication with our phone becomes a bliss. Of course, in this video, only a mini window is used for demonstration purpose, but controlling a real window should not be a problem if you simply replace the servo motor with a bigger DC step motor and change the source code accordingly. With this smart curtain system, you may, 1. Remotely control your curtain to open or close instantaneously 2. Check your curtain status according to the MQTT message received 3. Link with the previous weather station project and automate your room from there GitHub page https://github.com/Realtek-AmebaApp/Ameba_Examples/tree/master/RTL8195AM/005_SMART_CURTAIN Official pages https://www.amebaiot.com.cn/en/ https://www.amebaiot.com/en/ Facebook pages https://www.facebook.com/groups/AmebaIoT/ BiliBili channel https://space.bilibili.com/45777743

One of the most useful IoT applications is home security. Imagine a thief cutting your security camera wire while trying to break into your house. This won’t happen if your security system goes wireless and smart. This project demonstrates the capability of Realtek Ameba dev. board to conduct board-to-board communication via MQTT (FREE MQTT broker hosted at cloud.amebaiot.com). With this home security system, you will definitely be alarmed when your window/door is opened by the self-invited as the buzzer will make loud irritating noise while red LED flashes continuously. Of course, this project has left rooms to add your own logic to it. For example, sending MQTT messages to your phone to alert you, or to an IP camera to capture the image of the thief. Hardware Preparation - Ameba1 RTL8195AM x2 - Buzzer x1 - LED (red) x1 - Reed switch x1 - Magnet x1 - Jumpers x6 As 2 boards are needed to implement this project, there are 2 connection illustration as follows, https://github.com/Realtek-AmebaApp/Ameba_Examples/blob/master/RTL8195AM/006_HOME_SECURITY/WindowSecuritySystem_Switch_bb.png https://github.com/Realtek-AmebaApp/Ameba_Examples/blob/master/RTL8195AM/006_HOME_SECURITY/WindowSecuritySystem_Buzzer_bb.png Software Preparation 1. Check and make sure you have installed the ameba 1 board to Arduino IDE via adding this link into “additional boards manager URLs” under “Preference”, and install it in “board manager” under “Tools”, https://github.com/ambiot/amb1_arduino/raw/master/Arduino_package/package_realtek.com_ameba1_index.json 2. Copy the [buzzer source code](https://github.com/Realtek-AmebaApp/Ameba_Examples/blob/master/RTL8195AM/006_HOME_SECURITY/windowSecuritySystem_buzzer_Github.ino) and [switch source code](https://github.com/Realtek-AmebaApp/Ameba_Examples/blob/master/RTL8195AM/006_HOME_SECURITY/windowSecuritySystem_switch_Github.ino) you find in this repository to your Ameba1 RTL8195 boards respectively using arduino IDE 3. In order to connect to WiFi and MQTT server, you need to key in your WiFi SSID, WiFi passowrd, MQTT username and MQTT password, - username: same as your amebaiot.com username - password: same as your amebaiot.com password Done that's it! You have created a simple yet powerful home security system! To watch how how it is done, click link below,

The project demonstrates how an IoT device (Ameba RTL8195) is applied in real-life scenarios. If you have watched previous demo videos, you should have no problem understanding how an LCD display, a DHT Temperature Humidity sensor and our Ameba RTL8195. It can be put together to form a fully functional smart weather station. Simply follow the instructions in our examples as follows to DIY your own weather station, 1. LCD 24H Clock https://www.electronics-lab.com/community/index.php?/topic/47704-realtek-ameba-rtl8195-lcd-24h-clock/ 2. MQTT https://www.electronics-lab.com/community/index.php?/topic/47715-realtek-ameba-rtl8195-mqtt-demo/ 3. DHT+MQTT https://www.electronics-lab.com/community/index.php?/topic/47735-realtek-ameba-rtl8195-iot-system-with-dht-mqtt/ The key to integrate these 3 examples successfully is to make sure that you have set up your MQTT server correctly and note that here we are using a different set of MQTT topics, namely “dht_data” and “dht_status”. Also, when connect DHT sensor, D13 pin is used as data input pin. GitHub page https://github.com/Realtek-AmebaApp/Ameba_Examples/tree/master/RTL8195AM/004_WEATHER_STATION Official pages https://www.amebaiot.com.cn/en/ https://www.amebaiot.com/en/ Facebook pages https://www.facebook.com/groups/AmebaIoT/ BiliBili channel https://space.bilibili.com/45777743

Do you want to always keep track with the time of place of your interest without having to google it? Then this project is what you are looking for! This LCD Real-Time Network Clock make use of Network Time Protocol (NTP) together with a WiFi-enabled IOT microcontroller--Realtek Ameba 1 (RTL8195AM/ RTL8710AF) to create the product that you need. All you need to do is to let the microcontroller know which area's time that you would like to see and key in your WiFi SSID and password and that's it ! No matter how many time the power is off, or you have moved, as soon as it's powered back on and connected to the network, it will tell you the rigth time instantaneously! And of course, if you are arduino-savvy, you can program this product to read out the time or even control the lightings in your room accroding to the time bocause the soc used in the microcontroller is so powerful that it's able to connect more than dozens of devices and run multiple tasks simultaneously. For DIY upgrading this project, you may refer to www.amebaiot.com for more information.

MQTT is a machine-to-machine (M2M)/"Internet of Things" (IOT) connectivity protocol. It was designed as an extremely lightweight publish/subscribe messaging transport. With an Arduino-compatible wireless soc, e.g. Realtek Ameba1 (RTL8195/RTL8710) dev. Board, we can create a MQTT client that sends our sensor data to the cloud or any other MQTT clients. The source code is available on github at, https://github.com/ambiot/amb1_arduino/blob/master/Arduino_package/hardware/libraries/MQTTClient/examples/mqtt_basic/mqtt_basic.ino The things that need to take note of, · The "mqttServer" refers to the MQTT-Broker, we use the MQTT sandbox "test.mosquitto.org", it is provided by IBM eclipse for developers to test MQTT. · "clientId" is an identifier for MQTT-Broker to identify the connected device. · "publishTopic" is the topic of the published message, we use "outTopic" in the example. The devices subscribe to "outTopic" will receive the message. · "publishPayload" is the content to be published. · "subscribeTopic" is to tell MQTT-broker which topic we want to subscribe to. Here we can use a chrome plugin "MQTTLens" to be a second MQTT client. You can find it in Chrome Web Store at, https://chrome.google.com/webstore/detail/mq-tt-lens-the-best/cgmogjdjpnemdlijokkdomfapcodiohh?utm_source=chrome-ntp-icon After setting up a “connection” and key in the same topics we used on Ameba, we should be able to see a “Hello World” message printed on the MQTT message console.

Temperature and humidity are 2 of the most important factors affecting people’s comfort level in an enclosed space. The DHT humidity and temperature sensor can read the ambient temperature and humidity every 2-3 seconds, and then pass the data to Ameba who will forward them to the server using MQTT protocol. Whoever “subscribing” to the right topic gets the data almost instantaneously. Users can then adjust the aircon mode or temperature according to the readings received. An android phone was used as an MQTT client and the Ameba RTL8195 Dev. Board acted as another MQTT client communicating with the android phone. Both clients have to connect to the same MQTT server before proceeding to the next step. The DHT sensor updates its data every 10 seconds to stay as accurate as possible. Once sensor data is received, Ameba then “publishes” the data to the MQTT server where all clients “subscribing” to the right topic gets the data displayed on the console. GitHub page https://github.com/Realtek-AmebaApp/Ameba_Examples/tree/master/RTL8195AM/003_DHT_MQTT Official pages https://www.amebaiot.com.cn/en/ https://www.amebaiot.com/en/ Facebook pages https://www.facebook.com/groups/AmebaIoT/ https://www.facebook.com/groups/AmebaIoTWW/ BiliBili channel https://space.bilibili.com/45777743

This is a simple IoT project based on the “mqtt basic” example that comes with the Arduino package when you install the RTL8195 on Arduino IDE. In this project, simple passive components are used to aid in demonstrating the power of bidirectional communication of MQTT protocol which is widely used in modern IoT applications for its advantages in speedy response and lightweight. In the video, an android tablet was used as a MQTT client and our Ameba RTL8195. Board acted as another MQTT client communicating with the android tablet. Both client have to connect to the same MQTT server before proceeding to the next step, you may choose to set up own MQTT server or using an online free server. Please refer to the video link, GitHub source code, https://github.com/Realtek-AmebaApp/Ameba_Examples/tree/master/RTL8195AM/002_MQTT_BASIC Official pages https://www.amebaiot.com.cn/en/ https://www.amebaiot.com/en/

We live in an age where IoT is a growing phenomenon, and therefore we often come across terms like LoRa and LoRaWAN. Most people use these terms interchangeably as they seem alike. However, this is not perfectly true as they have some differences. In this article, we will take a look at the pertaining differences between LoRa and LoRaWAN. We will also look at some of their prospective applications, and prominent benefits. Before understanding the key differences, we will have to develop a keen understanding of some essential terminologies. LoRaWAN + BLE Technology for Location Solution An indoor location system is formed by integrating wireless communication, base station and inertial navigation positioning, and other technologies to identify and monitor the position of persons and objects in an indoor space. Common indoor wireless positioning technologies include WiFi, Bluetooth, infrared, ultra-wideband, RFID, ultrasound and Zigbee. but they are not ideal for accurate, low-cost, low power and long-range indoor location systems. Based on new generation BLE positioning and LPWAN technologies, we can provide a perfect and low-cost wireless location solution for both indoor and outdoor use by combining our LoRaWAN GPS tracker, BLE probe and Beacon product within the location system. How it works Scenario 1: For indoor positioning only, combine the Beacon and BLE probe. The BLE probe is placed in a fixed and known position where it will scan the nearby Beacon and send its MAC address, RSSI and raw data to the server. The Beacon position can be acquired using the Pythagoras theorem when the three BLE probes receive the same MAC address at the same time. Scenario 2: For both indoor and outdoor positioning, combine the LoRaWAN GPS tracker and BLE probe. The LoRaWAN GPS Tracker supports both BLE and GPS locations. The GPS positioning can be used for outdoor situations. With indoor situations, the LoRaWAN GPS Tracker can serve as a BLE beacon that can be scanned by the nearby BLE probe, which will send the information to the LoRaWAN server. The MOKOSMART LoRaWAN GPS Tracker position can be acquired using the Pythagoras Theorem when the three BLE probes receive the same MAC address at the same time.

AI Smart agriculture control Device Abstract: Agriculture is the broadest economic sector and plays an important role in the overall economic development of a nation. Technological advancements in the arena of agriculture will ascertain to increase the competence of certain farming activities. Smart Farming is a farming management concept using modern technology to increase the quantity and quality of agricultural products. Farmers in the 21st century have access to LoRa, soil scanning, data management, and Internet of Things technologies, web. Our device focuses on the measurement of physical parameters such as soil moisture content, nutrient content, automatic irrigation, pH of the soil and automatic sent notification phone application that plays a vital role in farming activities. Keyword: Agricultural innovation, IoT, LoRa, Power Management, ARM, Data Management Introduction: Smart farming based on IoT technologies will enable growers and farmers to reduce waste and enhance productivity ranging from the quantity of fertilizer utilized to the number of journeys the farm vehicles have made. In IoT-based smart farming, a system is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, etc.) and automating the irrigation system. The farmers can monitor the field conditions from anywhere using smart app. IoT-based smart farming device is highly efficient when compared with the conventional approach. The applications of IoT-based smart farming not only target conventional, large farming operations, but could also be new levers to uplift other growing or common trends in agricultural like organic farming, family farming (complex or small spaces, particular cattle and/or cultures, preservation of particular or high quality varieties etc.), and enhance highly transparent farming. Now, let’s discuss the major applications of IoT-based smart farming device that are revolutionizing agriculture. Hardware: Soil Sensor: The Soil Moisture Sensor uses capacitance to measure the water content of soil (by measuring the dielectric permittivity of the soil, which is a function of the water content). Simply insert this rugged sensor into the soil to be tested, and the volumetric water content of the soil is reported in percent. Temperature sensor (DHT 11): Measure the Temperature and humidity Photoresistor (LDR): Check day or night position LoRa ARM development board : This is a low power single board computer inbuild Wi-Fi, LoRa connectivity also has Digital and analog pins. Smart Agriculture Device Features: 1.This device no need external power (inbuild 5-volt Power bank & solar cell), 2. real-time Soil Moisture sensor measure the soil and sent data to the Server, 3.Temperature, photoresistor measure the weather condition. 4. Both way communication (device can send notification & received command from web or app) 5. Dual control (Device ca run manual mode and automatic mode). 6. Dual communication (LoRa and wi-fi mode) System Hardware Implementation: First configure the FreeRTOS on EFB-REV1 board after successful configure of operating system we need configure GPIO library(J-Tag) to access the its GPIO. Install 5-volt solar cell and power bank for powerup the device 24x7. Soil Sensor connected to analog pin of A0, DTH11 connected to A3, Photoresistor connected to A6. Analog sensors measure data and sent via wireless media. EFB_REV1 development come with LoRa, Wi-fi also Bluetooth, for our project we used Wi-Fi and LoRa. For Wi- fi communication need a wifi receiver module which receive and sent sensor data to the cloud server. Another hand implemented the device for loRa communication (data send rang up to 5km), here we need a loRa receiver to receive and sent sensor data to the cloud server. Wi-Fi and LoRa connective protocol of our smart agriculture device uses depend on different location & situation. Firmware & Application software implementation: Application Software: Here we used cloud server to store the data, and help of Rest API sent the command to the device. Device firmware has two measure function (i) Manual mode: In manual mode device will work, user pre set value of the sensor in device using web or smart app. (ii) Automatic Mode: In automatic mode device sent the sensor value to cloud server and machine learning algorithm take decision according the data. Conclusion Thus, the IoT agricultural applications are making it possible for ranchers and farmers to collect meaningful data. Large landowners and small farmers must understand the potential of IoT market for agriculture by installing smart technologies to increase competitiveness and sustainability in their productions. With the population growing rapidly, the demand can be successfully met if the ranchers, as well as small farmers, implement agricultural IoT solutions in a prosperous manner.

3 ways of playing games on ARM devices. Arcanum, Desciples II, Ceasar III, Fallout, Heroes and more in the article Gaming on Raspberry Pi (the guide works for any ARM device)

Are u looking for a way to connect the Arduino to the internet easily? Do you want to develop your IoT project quickly without much hassle? ARMA IoT might just be the thing for you! The simple and efficient Arduino shield is powered through a esp12f wifi module, which enables it to be connected to the wifi network. it also has an SD card slot for for extra data storage like its wired brethren the Ethernet Shield. The ARMA IoT goes a step further and provides an easy plug and play feature for most of the common devices such as sensors, motors, LCDs and relays. The ARMA IoT is a great place for beginners to start their IoT project, as it requires minimum time to setup the hardware all thanks to the plug and play feature. Even the programming is simplified through the help of apps such as Blynk, which provides easy feature of controlling the Arduino through your Android or iOS phone. Thingspeak an upcoming IoT platform is also supported by the shield. The ARMA IoT platform proves as a tool for aspiring beginners and also a prototyping tool for advanced users. IoT products can be developed much faster with the help of this board. Weather it is creating a simple IoT project such as blinking LEDs or controlling relays, or developing your own Home automation system, the ARMA IoT facilitates it all and things seem to happen rather quickly with all the features provided on the board. The wifi connection feature can provide fast communication between devices or two instances of ARMA itself, making it applicable for simple swarm robotics, wireless controllers etc. The applications can also be extended to simple robotics, Energy management systems and it does not stop there as it all depends upon the users creativity. To get started simple tutorials are provided on the YouTube page of ARMA IoT, the link below guides on the setup of Arduino and ARMA IoT with the help of Blynk app More tutorials and projects will be posted to help you make the most of the shield. Of Course there are also various DIY communities that can provide you with both support and inspiration for your upcoming IoT projects. thus ARMA is another simple board that has the ability to bind many devices together. The ARMA IoT is still undergoing a crowdfunding campaign in Indiegogo and is available for pre-order. https://www.indiegogo.com/projects/arma-iot-breakout-board-for-arduino#/