6/13/2023 0 Comments Arduino camera recognition![]() If this is the first time you use ESP32-CAM, you should read how to stream video using ESP32-CAM. Image recognition is an important branch of computer vision. From the images captured by the ESP32-CAM, applying image recognition, it is possible to extract information such as:Īnd much more. This machine learning model is capable to identify and classify more than 10,000 concepts. The advantage of this method is that it is not necessary to train a model to classify the images by ourselves, but the ESP32-CAM uses a pre-trained model built by Clarifai. Parse the response and extract the information.Invoke an API exposed by the machine learning cloud platform, sending the image acquired by the ESP32.Serial.How the ESP32-CAM Image classification works Serial.println("received'Turn off the light',command flag'104'") //The serial transmits "received"Turn off the light",command flag"104"" Serial.println("received'Turn on the light',command flag'103'") //Serial transmits "received"Turn on the light",command flag"103Ĭase 104: //If the command is “Turn off the light”ĭigitalWrite(Led, LOW) //Turn off the LED Void loop() Get the ID corresponding to the command Return the obtained command word ID, returning 0 means no valid ID is obtainedĬase 103: //If the command is “Turn on the light”ĭigitalWrite(Led, HIGH) //Turn on the LED asr.playB圜MDID(1) // Wake-up Play the corresponding reply audio according to the CMDID - command word ID * voc - Volume Set mute mode - Mute mode set value 1: mute, 0: Set wake-up wakeTime - Wake-up duration Get wake-up The currently-set wake-up period Serial.println("Communication with device failed, please check connection") ![]() PinMode(Led, OUTPUT) //Init LED pin to output modeĭigitalWrite(Led, LOW) //Set LED pin to low Each wake word and voice command has its own ID, and that’s what we’d use in an Arduino Sketch as shown below after having installed the DF2301Q Arduino library: So far we have not done any programming, and only used our voice to customize the module. The DF2301QG offline voice recognition module is shown connected to an Arduino clone over I2C board, but it could support any other hardware with UART or I2C including other Arduino boards, Raspberry Pi boards or SBCs, ESP32 modules, and boards, etc… Everything is explained in detail in the wiki. You’ll also be asked to repeat the voice command three times to register it. and so on, but the user can also have the module learn up to 17 new custom commands using the voice command “Learning command word” for a specific ID. The module comes with over 100 preset commands such as “Turn left ninety degrees”, “Tag recognition”. The default wake word is “Hello robot”, but you can change it to another one with the voice command “learning wake word” and you’ll be asked to repeat your new wake word such as “hello, there” three times. The important part is that it is much easier to work with than the earlier offline voice modules. Misc – Power LED (red), recognition status LED (blue).Host interface – I2C (0圆4 address) and UART via 4-pin “Gravity” connector 3.3V and 5V compatible.Input – Dual microphones with -28dB sensitivity.Output – Built-in speaker and external speaker interface.Support for 1 learned wake-word, 17 user-defined commands.121 commonly used fixed voice commands, one-fixed wake word.Voice recognition module – WS-2520-TR module with.Gravity Voice Recognition DF2301QG module specifications: But today, I’ve noticed DFRobot is now selling the “Gravity: Offline Voice Recognition Sensor – I2C & UART” module with support for Arduino programming, and it looks fairly easy to customize as we’ll see further below. Those are great in theory, but at the time (April 2022) documentation was lacking or only in Chinese, and they were fairly hard to use based on some of the comments in my earlier posts. We’ve already covered inexpensive offline voice recognition modules based on US516P6 or TW-ASR ONE microcontrollers that allow people to add smarts to their projects without a network connection for improved privacy and lower latency.
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