ESP32-S3 Camera Face Detection Kit: Build a Real-Time AI Vision System

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

This kit turns an ESP32-S3 microcontroller into a real-time face detection system. Using the on-board OV2640 camera and a pre-trained MobileNet TensorFlow Lite model, it achieves 10fps face detection on a microcontroller. A red LED illuminates when a face is detected, providing immediate visual feedback — perfect for smart doorbells, attendance systems, or home automation.

What You'll Build

You will assemble a compact embedded AI system that captures live video, processes frames to detect human faces using a lightweight neural network, and controls LEDs based on detection results. By the end, you'll have a self-contained module that can be integrated into a wide range of DIY AI projects, from automated lighting to interactive installations.

What You'll Learn

• Deploying TensorFlow Lite models on ESP32-S3
• Interfacing OV2640 camera module over ESP-IDF/Arduino
• Real-time image processing and inference optimization
• GPIO control for LED feedback based on AI output

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This kit is ideal for CBSE Class 11-12 students exploring AI applications, B.Tech ECE/EEE students working on embedded systems or Smart India Hackathon projects, and ATL Tinkering Labs wanting a ready-to-go computer vision experiment. If you've dabbled with Arduino and want to step into real-time AI on a microcontroller, this kit bridges the gap.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.