ESP32 P4 Face Detection Explained: Inside the CrowPanel Advanced 7 Inch Display Code

This video explains how real time face detection and pedestrian detection work on the CrowPanel Advanced 7 inch display using the ESP32 P4 microcontroller. All processing runs locally on the device, with no internet connection, no cloud services, and no external computer involved. I walk through Elecrow’s official example project and explain how the demo applications are structured, how the system starts up, and how the face detection pipeline works at a high level. You do not need to know C++ to follow along. The goal is to understand the architecture and design decisions behind embedded AI on low power hardware. Chapters 00:00 Real time face detection on a standalone ESP32 P4 board 00:43 CrowPanel Advanced 7 inch display and ESP32 P4 overview 01:35 Face detection demo and live tracking behaviour 02:39 Pedestrian detection and practical use cases 03:23 Demo applications and touchscreen performance 04:11 Project structure and components folder overview 05:16 main.cpp and application startup flow 07:07 Inside the face detection component and AI model 08:13 Detection pipeline, thresholds, and limitations Links and Resources ESP32-P4 datasheet https://www.elecrow.com/download/product/DHE04107D/esp32-p4_datasheet_en.pdf CrowPanel Advanced 7-inch GitHub repository https://github.com/Elecrow-RD/CrowPanel-Advanced-7inch-ESP32-P4-HMI-AI-Display-1024x600-IPS-Touch-Screen/tree/master CrowPanel Advanced 7-inch course PDF https://www.elecrow.com/download/product/DHE04107D/Advance_HMI_P4_7inch_Course.pdf CrowPanel Advanced 7-inch product page https://www.elecrow.com/crowpanel-advanced-7inch-esp32-p4-hmi-ai-display-1024x600-ips-touch-screen-with-wifi-6-compatible-with-arduino-lvgl-micropython.html If you are interested in embedded computer vision, ESP32 P4 development, or understanding how small AI models run on microcontrollers, this video provides a clear and practical walkthrough.