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Case Study & Specifications

Face Recognition Attendance System

IoT ESP32-CAM Wireless Streaming & OpenCV Recognition System

Wireless ESP32-CAM video capture, real-time face matching, automated Excel logging, and email intrusion alerts.

System Specs

App CategoryComputer Vision & IoT
Hardware UsedESP32-CAM Module
Recognition EngineOpenCV Face Recognition
Alert SystemSMTP Mail Dispatcher

Compiled Stack

PythonOpenCVESP32-CAMArduinoSMTP APIExcel DB

Project Overview

The Face Recognition Attendance System is an integrated IoT security and management platform. An ESP32-CAM module, programmed in Arduino C, captures high-resolution video frames and streams them wirelessly over local IP addresses. A backend Python server captures this live stream, processes each frame via OpenCV to identify and match faces against a local database, logs verified attendance dynamically into Excel sheets, and dispatches automated email alerts (with attached stranger face snapshots) to administrators upon detecting an unknown person.

Code Access & Guidance Support

Want to build this or acquire the source?

Whether you are looking for the full production source code, circuit schematic diagrams, component list guidance, or custom feature integration, feel free to reach out. We are happy to help you build or customize this project.

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