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Found 11 results

  1. MQTT is one of the most popular IoT network protocol thanks to its light-weight and Publish-subscribe model. However, some doubts the security of MQTT as it is usually unprotected to reduce overhead, this can be easily fixed with the use of TLS (Transport Layer Security), here we are using Realtek's RTL8722 dual-band WiFi and BLE5.0 microcontroller as example and see how it achieve security with MQTT, Preparation Ameba x 1 Example In this example, we connect Ameba to a MQTT broker using TLS authentication. Then send messages as a publisher and receive messages from as a subscriber. Open the MQTT example “File” -> “Examples” -> “AmebaMQTTClient” -> “MQTT_TLS” Please modify the WiFi-related parameters to connect to your WiFi network. Modify the MQTT parameters to fit your application: The “mqttServer” refers to the MQTT-Broker, we use the free MQTT sandbox “test.mosquitto.org” for testing. “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. Next, compile the code and upload it to Ameba. Press the reset button, then open the serial monitor After Ameba is connected to MQTT server, it sends the message “hello world” to “outTopic”. To see the message, use another MQTT client. Refer to the MQTT_Basic example guide on how to setup a PC-based MQTT client. If you wish to use TLS client authentication in addition to server authentication, you will need to generate an OpenSSL private key and obtain a signed certificate from the server. For testing purposes, signed certificates can be obtained from test.mosquitto.org by following the guide at https://test.mosquitto.org/ssl/. Replace the character strings “certificateBuff” and “privateKeyBuff” with your signed certificate and OpenSSL private key, ensuring that they are formatted the same way as the shown in the example code. Also uncomment the highlighted code to enable client authentication, and to change the MQTT port number.
  2. There are a lot of online IoT platform out there, google is one of the first few platforms that provide free and easy-to-use IoT services to maker and developer, here is an example using Realtek' RTL8195 development board for Google IoT service, Google Cloud IOT Preparation Ameba x 1 Example This example illustrates how to use Cloud IoT Core on AMEBA. It doesn't need extra Library and use WiFiSSLClient and PubSubClient to connect. Before compiling to Ameba, we need to register and set up Google Cloud IoT Platform. Please refer to Standard SDK examples: https://www.amebaiot.com/google-cloud-iot/ Open the example “File” -> “Examples” -> “AmebaMQTTClient” -> “google_cloud”, we can get project_id, registry_id, device_id and private.pem.key if Google Cloud IoT Platform has been set up. In the example, fill in amebago-193913 for project_id, amebago-registry for registry_id and amebago-rs256-device for device_id as follows. Remember to fill in private.pem.key for privateKeyBuff. Compile and download to Ameba after updating these parameters. Then open the terminal, start to connect to Google Cloud and it shows ” This is Ameba's x message!!” when the connection is successful as follows. The "x" is the increment value for each loop. Verify: Key in with Google Cloud SDK Shell: $ gcloud beta pubsub subscriptions pull --auto-ack \ projects/amebago-193913/subscriptions/amebago-subscription The following are the messages sent by Ameba. Code Reference In setup(), we set up Certificate, which means setting RootCA and Private Key wifiClient.setRootCA((unsigned char*)rootCABuff); wifiClient.setClientCertificate(NULL, (unsigned char*)privateKeyBuff); In loop(), each loop checks the Internet status and re-connect to it when the environment has a problem. if (WiFi.status() != WL_CONNECTED) { while (WiFi.begin(ssid, pass) != WL_CONNECTED) { delay(1000); } Serial.println("Connected to wifi"); } It requires mqtt_id , clientPass and pub_topic to publish: produce mqtt_id: mqtt_id = (char *)malloc(strlen("projects/") + strlen(project_id) + strlen("/locations/us-central1/registries/") + strlen(registry_id) + strlen("/devices/") + strlen(device_id) + 1); sprintf(mqtt_id, "projects/%s/locations/us-central1/registries/%s/devices/%s", project_id, registry_id, device_id); produce clientPass(via JWT Format): clientPass = jwt_generator((unsigned char*)privateKeyBuff, project_id, 3600*1); produce pub_topic: pub_topic = (char *)malloc(strlen("/devices/") + strlen(device_id) + strlen("/events") + 1); sprintf(pub_topic, "/devices/%s/events", device_id); MQTT Server setting: client.setServer(GOOGLE_MQTT_SERVER, GOOGLE_MQTT_PORT); client.setPublishQos(MQTTQOS1); client.waitForAck(true); Start to connect to google cloud if (client.connect(mqtt_id, clientUser, clientPass) ) { .......... for(int i = 0; i < count; i++){ .......... sprintf(payload, "This is Ameba's %d message!!", i); ret = client.publish(pub_topic, payload); ..........  } .......... client.disconnect(); } free(mqtt_id); free(pub_topic); Publish the payload with client.publish method. Remember to disconnect, free mqtt_id and pub_topic buffer。
  3. WiFi microcontroller usually consume a lot more power than ones without WiFi connection. Even in sleep mode, 2 AA batteries would only last a week, but RTL8722 from Realtek has 2 cores, a cortex M4 core handling user application and a cortex M0 core that help to conserve power by entering the deep sleep mode to extend battery life to few months, here is an example of it, Power Management – Enter Deepsleep After Uploading DHT Data To LASS Preparation Ameba x 1 DHT11/DHT22/DHT21 x 1 Example In this example, we will get the humidity and temperature data from DHT, connect to AP, retrieve NTP time, upload the data to LASS MQTT server, then enter deepsleep mode every 10 minutes. Open "File" -> "Examples" -> "AmebaPowerSave" -> "DeepSleepWithDHTLass" Modify detailed settings in the sample code: - Model of DHT sensor: DHT11/DHT22/DHT21 - Connection to WiFi AP: ssid, password - GPS position: latitude & longitude Compile and upload to Ameba. The actual power cosumption depends on many factors such as network condition, the time it takes for the server to respond. In our case, the program completes in 13 seconds, the power consumption of the Ameba Module is 1.3mA. This number is larger than the one we get in the "DeepSleepWithDHT" example. This is because the power consumption of Ameba in operation is usually larger than 29mA, and when Ameba is using wifi connection the power consumption is larger than 68 mA, which are considerably larger than the 0.018 mA power consumption in deepsleep mode. Therefore, we should keep Ameba in the deepsleep mode as far as possible to save energy. To compare the result with the case without entering power-saving mode, we modify the sample code as below. We keep the network connection and get the data from DHC sensor every 10 minutes, then upload the MQTT server. void setup() { dht.begin(); reconnectWiFi(); retrieveNtpTime(); initializeMQTT(); } void loop() { if (gatherHumidityAndTemperature() == DATA_CNT_FOR_UPLOAD) { reconnectWiFi(); while(!sendMQTT()) { delay(1000); } mqttClient.loop(); pDhtData->dataCount = 0; } // store data back to flash memory FlashMemory.update(); delay(measureInterval * 1000); } As a result, the average power consumption is 67 mA. Use 2 AA batteries to compare the results: (We use the Keysight 34465A multimeter in the experiment) According to the result, the energy of 2 AA batteries can only last for about 1 day without power-saving, and it can last about 2.8 months with power-saving. NOTE: In reality, due to the energy loss in the voltage conversion and operation, the actual usage time may be different.
  4. As clean energe continue to attract huge attention due to the foreseeable demise of fossil fuel, harvesting clean energy , particularly solar energy, for embedded system make sense in many IOT applications for its low power consumption and sometime awkward placement, this example will guide you through how to harvest solar energy for an IOT project, Solar Panel – Upload Temperature And Humidity Data To LASS System Preparation Ameba x 1 DHT11 x 1 Solar Panel (1W) x 1 Lipo rider pro x 1 Li-Po battery (1100 mAh) x 1 DS3231 RTC x 1 AMS1117-3.3V x 1 (Optional) Solar Panel The solar panel we use is: http://www.seeedstudio.com/depot/1W-Solar-Panel-80X100-p-633.html The difference of the models with different power is the time it takes to charge the lithium battery. In general, solar panels with 1W power is sufficient for the weather in Taiwan. Lithium Battery In the night, we use lithium battery to provide power. Take the occasional cloudy days into account, we choose the lithium battery of size 1100mAh. Note that batteries with capacity smaller than 500mAh are not recommended. Lithium Charge-Discharge Module In the daytime, besides providing power to Ameba, we expect the solar panel to supply power to charge the lithium battery. On the other hand, if the solar panel cannot provide enough power, we rely on the lithium battery to supply power. Therefore, we need a Charge-Discharge Module for the lithium battery. Here we use Lipo Rider pro, it uses JST 2.0 joint. There are a number of alternatives: Lipo Rider: http://www.seeedstudio.com/depot/Lipo-Rider-v13-p-2403.html PowerBoost 500C: https://www.adafruit.com/product/1944 PowerBoost 1000C: https://www.adafruit.com/product/2465 DS3231 RTC We use DS1307RTC library supports DS1307/ DS1337/DS3231, here we use DS3231. AMS1117-3.3V The default output of Lipo Rider Pro is 5V, hence can be connected to Ameba directly. If you wish to provide only 3.3V to Ameba module to save power, you can use AMS1117 to step-down the voltage to 3.3V. Example In this example, we use solar panel to supply power for Ameba. When the power output of the solar panel exceeds the power demanded by Ameba, surplus power charges the lithium battery, which can supply power at night. Open the sample code in "File" -> "Examples" -> "AmebaMQTTClient" -> "lass_for_dht_plus_ps_nfc" Note that when you choose to supply power only to Ameba module, the 3.3V on Ameba board would be unavailable. For the modules that require 3.3V power, you need to step-down the voltage to 3.3V to supply power. If you do not want to use AMS1117, you can supply power to 5V directly (note this enables DAP and leads to additional power consumption). Another noteworthy point is that the antenna in the figure is cut down from Ameba, and is connected to Ameba through wires. To run the example, a few settings should be done: Please provide the ssid/password for WiFi connection. The clientId of LASS is set to FT_LIVE_12345678 by default, please replace it with a different value. Compile and upload the sample to Ameba and press reset button. Wait for a while, then you should see the data in the website: http://g0vairmap.3203.info/map.html The sample code uses the location of Realtek by default. For the NFC function, you can use your android phone to scan the NFC antenna to download the NFC APP from google play. (Or you can download from: https://play.google.com/store/apps/details?id=com.realtek.sensortag) After the APP is installed successfully, use your phone to scan the Tag to read the latest temperature and humidity. Press the button at the bottom to get the temperature and humidity information of the day. Energy consumption analysis The power efficiency of the solar panel The measure of brightness here is Illuminance(LUX), light with different wave length have different illuminance. We use Halogen bulbs to simulate sun light. In Taiwan, in the time between 10am to 2pm, the measured illuminance is about 100 LUX on average. At 4pm, the measured illuminance is about 10 LUX on average. Using 100W Halogen bulb, we measure 10k LUX illuminance in distance 20cm, and 100k LUX in distance 5cm. However, the shorter the distance between light source and solar panel, the higher the temperature of the solar panel. As the temperature of solar panel increases, the power efficiency decreases. We keep the distance 20cm in our experiment here. When the illuminance is 100k LUX, the solar panel outputs 210mA current, with voltage 4.8V. 4.8V x 0.21 A = 1.008 W. When the illuminance is 10k LUX, the solar panel outputs only 40~60mA current Power consumption of NFC In this example, the NFC function is kept available when Ameba enters deepsleep. The power consumption of NFC is about 7mA, which is considerably high compared with deepsleep. Power consumption of RTC Normally, RTC uses battery to hold the time precision. However, when RTC is connected to Ameba, Ameba enables its I2C interface by default, which leads to additional 2mA power consumption. Total power consumption If you step-down power source to 3.3V and connect to Ameba module, the measured current in deepsleep is 12mA, and long-term average is 13mA. If you supply 5V power to Ameba, the measured current in deepsleep is 17mA, long-term average is 18mA. Besides NFC and RTC, voltage step-down module and LED light also consumes power. Not considering the power consumed by the battery charge-discharge module, assume that the solar panel provides 40mA current and the 1100mAh lithium battery has used up half of its capacity. Then we need 550mA / (210mA - 13mA) = 2.8 hours to fully charge the lithium battery. If the solar panel cannot provide sufficient current output to supply power for Ameba and the lithium battery, and the Ameba board relies on the lithium battery as power source. Then the battery can provide power for 550 mAh / 13mA = 42 hours. Code Reference The program is composed by previous examples. The execution flow is as follows: At the beginning, we setup watchdog and activate a GTimer to feed/kick watchdog every second, and if the total execution flow is not completed in 30 seconds, go into deepsleep. Note that we put the WiFi connection part in the rear of the flow. Since turning on WiFi consumes relatively more power, to design low-power project, it is recommended that put WiFi-unrelated parts at the beginning of the execution flow.
  5. IR (Infrared) is often used in our remote controller to control TV, fans and light etc for its easy-to-use and affordibility. However, we can also use it for some other purposes like sending and receiving sensor data in a close range, and Realtek's Ameba RTL8722 equiped with dual band WiFi and BLE 5.0 also comes with special designed registers just for IR transmissions, here is demo, IR – Infra-Red Receiver And Emitter Preparation Ameba x 1 Grove - Infrared Receiver x 1 Grove - Infrared Emitter x 1 Principle Infra-red refers to the invisible light with wavelength 770nm~1mm. It is commonly used in our life, for example the remote control in our home. In general, the infra-red emitter and receiver specify the frequency used in transmission. There are some widely used frequency regulations such as NEC, Philips RC5, RC6, RCMM, Toshiba, Sharp, JVC, Sony SIRC,...etc. Among them, NEC uses 38KHz frequency and is commonly used in appliances. The demodulator in the IR receiver outputs 0V when it receives signals with specified frequency, otherwise it outputs 3.3V(or 5V). For the IR emitter, it needs to emit signal with specified frequency (generally PWM signal), since IR receiver would only respond to the specified frequency, The figure below shows a complete Infra-red signal emitted from the IR emitter: First it sends the start signal, which contains a start high and a start low. Start high is PWM signal with frequency 38KHz. Start low is digital signal output, usually we output 0V signal for start low. Then it sends the data a byte at a time. A byte is sent in the order from LSB (Least Significant Bit) to MSB (Most Significant Bit). A bit 1 is represented by a 560us-long PWM signal, and stop for 1.69 ms. A bit 0 is represented by a 560us-long PWM signal, and stop for 560 us. When the data transmission is finished, send a bit 1 as the stop bit. At the receiver side, through demodulation, the received PWM signals are converted to general digital input: And those signals other than PWM signals, are put at 3.3V (or 5V). Example: IR receiver For implementation, Ameba uses a GPIO Interrupt pin and hardware Timer 4. Open the example in "File" -> "Examples" -> "AmebaIRSendRecv" -> "recv" In this example, we use Grove Infrared Receiver, other infra-red receiver works similarly. In general, we will use 3 pins: VCC(connects to 3.3V), GND, RX. In the example, we connect RX to D3 (which has GPIO Interrupt function). Wiring diagram: RTL8710 Wiring diagram: Compile the code and upload to Ameba, then press reset. If you have NEC remote control in hand, you can test that whether the Ameba IR receiver works. Or you can follow next example to use another Ameba board to make an IR emitter yourself. Note that the received messages of the IR receiver will be shown on the serial monitor. Example: IR emitter A typical IR emitter has 2 pins. However, the Grove Infrared Emitter has 3 pins: VCC, GND and TX. In practice, we can only use GND and TX. To transmit 38KHz signal in real time, Ameba uses TX of UART to emit the signal. Hence, when we are using Ameba to emit IR signal, D0 pin (UART RX) would be unavailable. Following is the wiring diagram: However, since the TX of UART is usually on 3.3V, this leads to unnecessary power consumption. Therefore, we rearrange the wires to connect Ameba UART TX to the GND pin of Grove Infrared Emitter, and connect the signal wire of emitter to 3.3V: RTL8710 Wiring Diagram: In this case, when the emitter is not emitting signal, GND and TX are both at 3.3V, voltage difference is 0. Open the example "File" -> "Examples" -> "AmebaIRSendRecv" -> "send". Compile and upload to Ameba, and press reset. In this example, the IR emitter emits signal every 2 seconds. You can test it with the previous IR receiver example. Code Reference We refer to Grove infra-red Send Recv library to design our API. The original source code can be found here. Although the API of Ameba looks similar to that of Arduino, the implementation details is different. IR receiver First, we have to specify the pin used to receive data. Since it needs GPIO interrupt, we have to select a pin with GPIO interrupt function. We use D3 pin in the example. IR.Init(pinRecv) In the loop, we keep checking if there is incoming signal. IR.IsDta() When we receive signal, put the data into user buffer. IR.Recv(dta) The format of the buffer: Byte 0: Data length of whole packet. Byte 1: Length of start high, unit is 50us. Byte 2: Length of start low, unit is 50us. Byte 3: The stop length after the PWM signal when the data bit is 1, unit is 50us. Byte 4: The stop length after the PWM signal when the data bit is 0, unit is 50us. Byte 5...: Data. IR emitter Use Send() API to transmit data. The first argument is the data to be transmitted, and the second argument is the frequency(unit is 1K), in the example we use 38KHz. IR.Send(dtaSend, 38) The transmission format of the data: Byte 0: Data length of whole packet. Byte 1: Length of start high, unit is 50us. Byte 2: Length of start low, unit is 50us. Byte 3: The stop length after the PWM signal when the data bit is 1, unit is 50us. Byte 4: The stop length after the PWM signal when the data bit is 0, unit is 50us. Byte 5: Length of data to transmit. Byte 6...: Data to transmit.
  6. MCU is often considered not powerful enough to communicate with smartphone, yet many projects actually works a lot better if MCU can communicate with smartphone in some way. RTL8722 WiFi+BLE microcontroller from Realtek can do just that with the help of Firebase Messaging Service, and here is how it is done, Use Firebase To Push Messaging Services Preparation Ameba x 1 Android Studio Smart phone with Google Play Service x 1 Example In the era of the popularity of smart phones, people often receive reminders from specific apps. In this example, we will teach how to use Google Firebase to send messages from the Ameba Client to mobile phones. First, we use Firebase Cloud Messaging (FCM) as a cross-platform messaging solution that lets you deliver messages for free and reliably. With FCM, you can notify your client application (App) to sync emails or other data. You can send a message to drive user engagement. For instant messaging content, a message can transfer up to 4KB of payload to the client application. The FCM implementation includes two main parts for sending and receiving: 1. A trusted environment, such as Cloud Functions for Firebase or an application server for building, locating, and sending messages. 2. Receive iOS, Android or Web (JavaScript) client applications for messages. You can use Admin SDK or HTTP&XMPP API to send messages.To test or send marketing or engagement messages with powerful built-in targeting and analytics, you can also useNotifications composer We know that Ameba can send messages to specific apps as long as it implements the http client function. First of all, we must first set up an environment for developing Android apps. Please download Android Studio first on Android official website. https://developer.android.com/studio/install Then we can use the Android example provided by Firebase to download Firebase Quickstart Samples. https://github.com/firebase/quickstart-android Open Android Studio and click on Import Project, select the messaging project in Firebase Quickstart Samples. Since we won't use other functions, we can only choose the messaging project. Android Studio will need to install the SDK and Google repository for the first time to start the messaging project. You can refer to the following page for update. https://developer.android.com/studio/intro/update Wait until the required components for compiling the app are installed, you can open the messaging project, and Android Studio comes with the Firebase registration function. As shown above, open the toolbar and click Tools->Select Firebase. Open Firebase Assisant in the right pane, then see Cloud Messaging, select Set up Firebase Cloud Messaging to start the registration process. Click Connect to Firebase Then bring out the page, and click on Firebase on the left and log in to the Gmail account. Once you log in, you will be taken to the Firebase homepage. Let's keep the homepage first, we need to go to the Firebase Console and go back to Android Studio. We can see that when the webpage is successfully logged in, Android Studio also brings up the login information dialog box, click connect to Firebase You can see Dependencies set up correctly in the right pane and see a google-service.json file in the left pane, indicating that the app has been registered successfully. At this point, you can connect your phone to your computer (press Shift+F10) or press the Runs App in the toolbar. Please note here that Firebase requires a mobile phone to provide Google play service (GPS) service. An example of not being able to use Firebase without installing Google Play. As shown above, the messaging app is installed and executed successfully on the phone. Click LOG TOKEN at this time. There will be a Token ID, which is the Access Token required to send the message, representing the ID of the FCM service APP installed on a particular phone. This ID is unique and will be reassigned when the app is removed and re-installed. It means that the message can be sent to a specific phone. The FCM service can also push messages to a NEWS (Topic). This section can be found in Firebase topic-messaging: https://firebase.google.com/docs/cloud-messaging/android/topic-messaging Therefore, we need to save this Access Token, return to Android Studio as shown below, select Debug at the log level of the Logcat. When you press the LOG TOKEN button on the App, Logcat will print out the Access Token ID. We will save the code after the InstanceID Token: in the Log message. Then we have to go back to the page that was brought when we first logged into Firebase. Click in the upper right corner to go to the console At this point, You can see that Android Studio has just built the messaging project for us in the operation. Click to enter the messaging project with settings page, as shown above. Select Set up Go to the Settings page and select the Cloud Messaging page. We will see the Legacy server key. This Server key also needs to be used in the program. Let's save it and start editing the code. Open the example "File" -> "Examples" -> "AmebaWiFi" -> "Firebase.ino" As shown above, ACCESS_TOKEN and SERVER_KEY are defined in the reverse white part, that is, the ACCESS token ID that we just saved from the APP and the Server Key saved in the Firebase console page. We fill in the two sets of IDs, compile and upload them to Ameba. Press the Reset button and open the terminal. Connect to FCM Server after connecting to AP After showing Connect to Server successful, it means that the FCM connection is successful and the message will be sent. During the process, HTTP/1.1 200 OK will be received to indicate that the message is successfully pushed. At this time, the mobile phone screen is opened and the App receives the message from Ameba. Code Reference Firebase.ino This example uses the HTTP protocol to push messages. Users can learn the payload format from the Firebase development website. https://firebase.google.com/docs/cloud-messaging/send-message The main payload format in the program is as follows. The user can freely change the Title and Body of the message. Body represents the content of the message. char const* payload = "{" \ "\"to\": \"" ACCESS_TOKEN "\"," \ "\"notification\": {" \ "\"body\": \"Hello World!\"," \ "\"title\" : \"From Realtek Ameba\" " \ "} }" ; setup() if (client.connect(server, 80)) { Serial.println("connected to server"); // Make a HTTP request: sprintf(message,"%s%s%s%s%s%d%s%s%s","POST /fcm/send HTTP/1.1\nContent-Type: application/json\nAuthorization: key=",SERVER_KEY,"\nHost: ",HOST_NAME,"\nContent-Length: ",strlen(payload),"\n\n",payload,"\n"); printf("\nRequest:\n%s \n",message); client.println(message); client.println(); } The sprintf part puts the payload into the HTTP POST content and sends the message out after connecting to the FCM Server. loop() while (client.available()) { char c = client.read(); Serial.write(c); } Waiting for the response from Server and printing out the response
  7. Most of time when we use WiFi, we only use our WiFi device as a "station"(STA) that mainly receive information sent from "access point" (AP). Ameba Microcontroller from Realtek can not only connect to WiFI as a station, but also broadcast its own signal and become an AP, here is how, In AP mode, Ameba can accept at most 3 station connections, and can be set to open mode or security mode (WPA2). Preparation Ameba x 1 Example In this example, we turn on the AP mode of Ameba and connect station to Ameba. Open the WiFi AP example, "File" -> "Examples" -> "AmebaWiFi" -> "WiFiAPMode" In the snippet highlighted in yellow, fill in your SSID, PASSWORD and CHANNEL. The snippet highlighted in pink is the API we used to turn on the AP mode in security mode. If you want to turn on the AP mode in open mode, please modify the code to status = WiFi.apbegin(ssid, channel); Then upload the sample code and press reset, and you can see related information shown in serial monitor. In the figure below, we show the messages shown in serial monitor when two stations connect to Ameba AP in open mode: In the figure below, we show the messages shown in serial monitor when a station connects to Ameba AP in security mode:
  8. Use Ameba As UDP Server When surfing on internet, most of us are using TCP as its reliable and secure, however, UDP could also shine in some other area where speed is more important than integrity, and here is how Realtek's Ameba RTL8722 WiFi+BLE microcontroller works with UDP, Preparation Ameba x 1 Example In this example, we connect Ameba to WiFi and use Ameba to be an UDP server. When Ameba receives a message from UDP client, it replies "acknowledged" message to client. Open the WiFi Web Server example. “File” -> “Examples” -> “AmebaWiFi” -> “WiFiUdpSendReceiveString” Modify related information, including ssid, pass, keyindex Compile the code and upload it to Ameba. After pressing the Reset button, Ameba connects to WiFi and starts the UDP server with port 2390. After the UDP server starts service, Ameba prints the "Starting connection to server" message and waits for client connection. As to the UDP client, we use "sockit" program in the computer to connect to UDP server. Choose client mode and fill in the IP of UDP server (which is the IP of Ameba) and port 2390, then click "UDP Connect". After the connection is established, fill in "Hello World" in the Buf 0 field in sockit and click "Send". Then you can see the Ameba UDP server replies "acknowledged". Code Reference Ameba uses the WiFiUdp class which is compatible with Arduino WiFi Shield, so the Refer to the Arduino tutorial for detailed information about this example. https://www.arduino.cc/en/Tutorial/WiFiSendReceiveUDPString First, use begin() to open an UDP port on Ameba. https://www.arduino.cc/en/Reference/WiFiUDPBegin Use parsePacket() to wait for data from client. https://www.arduino.cc/en/Reference/WiFiUDPParsePacket When a connection is established, use remoteIP() and remotePort() to get the IP and port of the client. https://www.arduino.cc/en/Reference/WiFiUDPRemoteIP https://www.arduino.cc/en/Reference/WiFiUDPRemoteIP Then use read() to read the data sent by client. https://www.arduino.cc/en/Reference/WiFiUDPRead To send reply, use beginPacket(), write(), end(). https://www.arduino.cc/en/Reference/WiFiUDPBeginPacket https://www.arduino.cc/en/Reference/WiFiUDPWrite https://www.arduino.cc/en/Reference/WiFiUDPEndPacket
  9. E-ink display comes in very handy in cutting power consumption when not refreshing the screen, it becomes more power conserving when combined with ARM Cortex M33 microcontroller-- RTL8722 from Realtek. This microcontroller sports dual-band WiFI and BLE 5.0 withh max clock at 200MHz, which make it possible to parse long string of a URL and generate a QR code locally. In this demo, we will show how to generate QR code and display it on a E-ink display. https://youtu.be/KYI5WBmC6ac
  10. Many interesting projects are coded on Arduino IDE thus making it very easy to get a head start with project. Just like Realtek Ameba RTL8722, there are many interesting project worth trying out, like BLE, MQTT with TLS etc. However, once the project grows in length and complexity, it becomes super inconvenient with the lack of code completion, hinting and jumping to definition features that are commonly available on most popular code editors. However, there is actually a way to have all those features with only 3 steps, here is how, (Note: there are probably other ways of achieving the same goal, so share your method if you know a better way;) 1. Go to “preference” under Arduino IDE and select “use external editor” With this option selected, you will see the arduino editor grey out and become unable to edit code anymore, don’t worry, this is ok. 2. Download and open any of your favourite editor which has all these “smart features” In this case, Visual Studio Code is used for demonstration. 3. Create a folder to store all your sketches and add Ameba RTL8722 ‘s arduino library to the workspace (this 3.0.4 is the ameba library folder and it is usually located in you C drive under “C:\Users\YOURUSERNAME\AppData\Local\Arduino15\packages\realtek\hardware\AmebaD”) And also don’t forget to add your own sketch folder to the workspace (here my sketch folder is named “arduino_sketch” as seen above). With these steps done, it will only takes a couple of seconds before the editor parse each and every files in the folders added and link all symbols together. Now you will be able to code in your favourite editor and also to have these convenient features, # Code Completion # Code Hinting # Jump to definition Every time you save the sketch you just modified, just click anywhere of the grey area on the arduino editor and it will be automatically updated with your latest modifications, so you will still be able to one-click compile/download your code using the “Verify” or “Upload” button. Hope you find it useful and share with me how you like to code for Arduino project 🙂
  11. BLE -- WiFi &nbsp;Config &nbsp;Demo Video Realtek's RTL8722 microcontroller is a dual-core, dual-band WiFi and BLE 5.0 capable embedded platform suitable for Internet of Things application. For many non-professional developer, setting up WiFi AP information for WiFi microcontroller might be a hassle as there is no user interface to manually select the AP we want. However, RTL8722 has BLE 5.0 which give it an edge to pass WiFi information to the board prior to connecting to WiFi, making WiFi connection as easy as simply tapping few button on your mobile phone, here is how, Materials AmebaD [RTL8722 CSM/DM] x 1 Android / iOS mobile phone Example Introduction In this example, a WiFi configuration service is set up on the Ameba Bluetooth stack. A mobile phone with the configuration app connects to the Ameba device using BLE and configures the Ameba to connect to the correct WiFi access point. Procedure Ensure that the Realtek WiFi configuration app is installed on your mobile phone, it is available at: - Google Play Store: https://play.google.com/store/apps/details?id=com.rtk.btconfig - Apple App Store: https://apps.apple.com/sg/app/easy-wifi-config/id1194919510 Open the example, "Files" -> "Examples" -> “AmebaBLE” -> “BLEWifiConfigService”. Upload the code and press the reset button on Ameba once the upload is finished. On your mobile phone, open the Realtek WiFiConfig app and tap the round button to scan for Ameba boards. Select the correct Ameba board from the scan results. The app will connect to the Ameba board and ask the board to scan for WiFi networks and send the scan results back to the app using BLE. If your phone is currently connected to a WiFi network, the app will ask for the WiFi password to connect the Ameba board to the same WiFi network. Tap “Select AP” to choose another WiFi network, or enter the password and tap continue to connect Ameba to the selected WiFi network. After the Ameba board connects to the WiFi network, the following message will be shown. Tap “Try another AP” to connect to another WiFi network or tap “Confirm” to keep the current WiFi network and disconnect BLE from the Ameba board. Code Reference BLEWifiConfigService is used to create an instance of the WiFi configuration service to run on the Bluetooth device. BLE.configAdvert()->setAdvType(configService.advData()) is used to set the correct advertisement data necessary for the phone app to find the Ameba Bluetooth device.
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