ESP-EYE 人臉識別、語音識別開發板，搭載ESP32芯片 DFRobot

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ESP-EYE 人臉識別、語音識別開發板，搭載ESP32芯片

ESP-EYE是用於圖像識別和語音信號處理的開發板，在其上集成了板載ESP32芯片，2百萬像素攝像頭和數字麥克風，8MByte PSRAM和4MByte閃存。該板還支持通過Wi-Fi傳輸圖像和通過Micro-USB端口進行調試。

此外，該產品還有一個完整的AIoT解決方案，包括ESP-EYE開發板，ESP-WHO AI框架和ESP-IDF軟件SDK，使用戶能夠探索將AI技術與IoT應用程序相結合的好處。

ESP-WHO是專為AIoT應用而設計的面部檢測和識別開發框架。與ESP-EYE開發板或其他基於ESP32的開發板結合使用，然後僅添加一些外圍設備（如攝像頭和屏幕），即可輕鬆構建完整的AIoT應用程序。

ESP-EYE支持Windows或Linux PC上的固件刻錄，您也可以使用Raspberry Pi來開發基於該板的項目。例如，使用ESP-WHO實現人臉檢測和識別，在使用Windows或Raspberry Pi燒寫ESP-EYE的固件後，您可以使用移動設備連接開發板的WIFI以傳輸圖像或檢測人臉。

 

特徵

• ESP32芯片
• 2百萬像素相機
• 4 MB閃存
• 8 MB PSRAM
• 支持通過WiFi傳輸圖像
• 通過Micro USB調試和供電
• 支持Windows和Raspberry Pi
• ESP-IDF軟件SDK
• ESP-WHO AI框架
• 人臉檢測與識別

 

規格

• 電源：5V
• 工作電流：0.5A
• I / O總電流輸出：1200mA
• 工作溫度：-40〜125℃
• 儲存溫度：-50〜150℃
• 尺寸：41.00×21.00×6.50mm / 1.61×0.83×0.26”

 

出貨清單

• ESP-EYE開發板 x1
• Micro USB傳輸線 x1

 

Documents

• Product wiki
• 產品維基

 

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ESP-EYE Development Board

ESP-EYE is a development board for image recognition and speech signal processing, on which it integrates an on-board ESP32 chip, a 2 megapixel camera, and a digital microphone, 8MByte PSRAM and 4MByte flash. The board also supports image transmission via Wi-Fi and debugging through a Micro-USB port.

What’s more, there is a complete AIoT solution for the product, including the ESP-EYE development board, ESP-WHO AI frameworks, and ESP-IDF software SDK, which enables users to explore the benefits of combining of AI technology and IoT applications.

ESP-WHO is a face detection and recognition development framework designed for AIoT applications. Combining with the ESP-EYE development board, or other ESP32-based development board, then by adding only a few peripherals, such as camera and screens, you can easily build a complete AIoT application.

ESP-EYE supports firmware burning with a Windows or Linux PC, also you can use a Raspberry Pi to develop projects based on this board. For instance, use ESP-WHO to realize face detection and recognition, after burning firmware for ESP-EYE with Windows or Raspberry Pi, you can use mobile device to connect the board’s WIFI to transmit image or detect face.

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