{"product_id":"espressif-esp32-s3-eye-esp32-s3-camera-board","title":"Espressif ESP32-S3-EYE - ESP32-S3 Camera Board","description":"\u003cp\u003eEver wanted to dabble in face and\/or speech recognition? \u003ca href=\"https:\/\/www.espressif.com\/\"\u003eEspressif's\u003c\/a\u003e ESP-S3-EYE is a miniature AI development board. It is based on the \u003ca href=\"https:\/\/www.espressif.com\/en\/products\/socs\/esp32-s3\"\u003eESP32-S3\u003c\/a\u003e SoC and \u003ca href=\"https:\/\/github.com\/espressif\/esp-who\"\u003eESP-WHO\u003c\/a\u003e, Espressif’s AI development framework. It features a 2-megapixel camera, an LCD display, and a microphone, which are used for image recognition and audio processing.\u003c\/p\u003e \u003cp\u003eESP32-S3-EYE offers plenty of memory for image management, with an 8 MB Octal PSRAM and an 8 MB flash. It also supports image transmission via Wi-Fi and debugging through a Micro-USB port. With ESP-WHO, you can develop various AIoT applications, such as smart doorbells, surveillance systems, facial recognition time clocks, etc.\u003c\/p\u003e \u003cp\u003eUnlike some boards, this codebase does not require internet connectivity - you don't have to send video or audio data to 'the cloud' - it's all processed on-chip! The built-in demo shows off what it can do:\u003c\/p\u003e \u003cp\u003eBefore powering up your board, please ensure it is in good condition with no obvious signs of damage. Both the main board and the sub-board should be firmly connected together. Then, follow the instructions described below:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eConnect the board to a power supply through the USB Port using a USB cable. While the board is powered up, you will notice the following responses:\u003c\/li\u003e \u003cli\u003eThe Module Power LED turns on for a few seconds, indicating that the default firmware is being loaded.\u003c\/li\u003e \u003cli\u003eThe Module Power LED turns off, indicating the default firmware has been loaded. The board enters human face recognition mode by default.\u003c\/li\u003e \u003cli\u003eThe LCD display shows live video streaming.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eAt this point, the board is ready for further instructions. You can control the board with either function buttons or voice commands. Function button control is described first:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eFace the camera so a whole human face is visible on the screen for the board to detect. Once a human face is detected, the board displays a blue rectangle.\u003c\/li\u003e \u003cli\u003ePress MENU so the board enters an ID (starting from 1) for a detected human face.\u003c\/li\u003e \u003cli\u003ePress UP+ so that the board starts face recognition. Once a face is recognized, the board displays the entered face ID. If it doesn’t know the face, it displays “WHO?”.\u003c\/li\u003e \u003cli\u003ePress PLAY to delete the latest face ID. The board displays \"XXX ID(S) LEFT\".\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eTo control the board with voice commands, follow the instructions below:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eComplete step 1 described previously and notice responses from the board.\u003c\/li\u003e \u003cli\u003eActivate the board with the default English wake word “Hi ESP”. When the wake word is detected, the Module Power LED will turn on, indicating that the board is ready for a speech command.\u003c\/li\u003e \u003cli\u003eSay an English speech command to control the board. Once a speech command is recognized, the Module Power LED will blink.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eOnce you get the demo going, check out the \u003ca href=\"https:\/\/github.com\/espressif\/esp-who\/blob\/master\/docs\/en\/get-started\/ESP32-S3-EYE_Getting_Started_Guide.md#1-getting-started\"\u003esource code and ESP development platform\u003c\/a\u003e to customize your very own DIY voice\/speech recognition project.\u003c\/p\u003e \u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"\/\/www.youtube.com\/embed\/sHUD_KeoNhM?si=FE4LxFxvFSeO4EgM\u0026amp;start=340\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"allowfullscreen\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e \u003ch2\u003eResources\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e\u003ca href=\"https:\/\/github.com\/espressif\/esp-who\/blob\/master\/docs\/en\/get-started\/ESP32-S3-EYE_Getting_Started_Guide.md#1-getting-started\"\u003eGetting Started Guide (Github)\u003c\/a\u003e\u003c\/li\u003e \u003c\/ul\u003e","brand":"Adafruit","offers":[{"title":"Default Title","offer_id":50847329222929,"sku":"ADA5955","price":52.4,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0901\/6285\/6209\/files\/espressif-esp32-s3-eye-esp32-s3-camera-board-the-pi-hut-ada5955-42384276324547.jpg?v=1735211062","url":"https:\/\/abcd3032.myshopify.com\/nl\/products\/espressif-esp32-s3-eye-esp32-s3-camera-board","provider":"Tayyab Zak","version":"1.0","type":"link"}