espressif/esp-who

Face detection and recognition framework

What it solves

ESP-WHO is an image processing development platform designed for Espressif chips. It provides a set of pre-built examples to help developers implement computer vision tasks on embedded devices, reducing the complexity of deploying AI-driven image analysis on low-power hardware.

How it works

Built on top of the ESP-DL deep learning library, the platform integrates camera drivers and deep learning models to perform real-time image analysis. Recent updates have introduced asynchronous execution of camera and deep learning models to increase frames per second (FPS) and added support for the LVGL graphics library for creating user interfaces.

Who it’s for

Embedded developers and engineers working with Espressif SoCs (such as the ESP32-P4 and ESP32-S3) who want to integrate vision-based AI features into their hardware projects.

Highlights

  • Vision Examples: Includes ready-to-use examples for human face detection, human face recognition, pedestrian detection, and QR code recognition.
  • Hardware Support: Compatible with various development boards including ESP32-P4 Function EV Board, ESP32-S3-EYE, and ESP32-S3-Korvo-2.
  • Performance: Asynchronous processing of camera feeds and AI models for higher FPS.
  • UI Integration: Support for LVGL to develop graphical applications.

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