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AI-Enabled IoT System for Smart Surveillance and Security

The AI-Enabled IoT System for Smart Surveillance and Security is a smart four-layer door-locking project designed to improve safety in homes, offices, laboratories, and other restricted areas. The system combines RFID card verification, password entry, fingerprint scanning, and face recognition before giving access. An ESP32 microcontroller controls the hardware, while Firebase stores and updates data in real time. A Flutter mobile application allows users to check the lock status, manage users, update passwords, and control the system remotely. This project brings together IoT, artificial intelligence, biometrics, cloud technology, and mobile development in one practical security solution.

99 views 2026-07-20T07:08:18.962354 26 technologies
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AI-Enabled IoT System for Smart Surveillance and Security
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The AI-Enabled IoT System for Smart Surveillance and Security is a smart four-layer door-locking project designed to improve safety in homes, offices, laboratories, and other restricted areas. The system combines RFID card verification, password entry, fingerprint scanning, and face recognition before giving access. An ESP32 microcontroller controls the hardware, while Firebase stores and updates data in real time. A Flutter mobile application allows users to check the lock status, manage users, update passwords, and control the system remotely. This project brings together IoT, artificial intelligence, biometrics, cloud technology, and mobile development in one practical security solution.

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AI-Enabled IoT System Smart Surveillance Smart Security System IoT Security ESP32 Project Smart Door Lock Four-Layer Security Multi-Factor Authentication RFID Authentication Password Security Fingerprint Recognition Face Recognition AI Face Detection Python Face Recognition Firebase Integration Flutter Mobile App Cloud-Based Security Biometric Security Embedded Systems Solenoid Lock Remote Access Control Real-Time Monitoring Home Security Office Security Access Control System Final Year Project
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