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A New Framework for Smart Doors Using mmWave Radar and Camera-Based Face Detection and Recognition Techniques.

Younes Akbari¹, Abdulaziz Al-Binali¹, Ali Al-Mohannadi¹

¹Department of Computer Science and Engineering, Qatar University, Doha P.O. Box 2713, Qatar.

Sensors (Basel, Switzerland)

|January 11, 2024

Summary

This study introduces a new smart door lock system using mmWave radar and cameras for accurate person detection and identification. The integrated approach enhances security and convenience for smart homes.

Keywords:

camera face detection face recognition mmWave radar smart doors

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Area of Science:

Computer Science
Electrical Engineering
Internet of Things (IoT)

Background:

Smart door locks offer convenience and remote access but face limitations with camera-based security.
Challenges include accuracy issues due to lighting and overlapping in camera-only systems.

Purpose of the Study:

To present a novel framework for smart doors integrating mmWave radar and camera sensors.
To improve the accuracy and security of face detection and recognition for smart access systems.

Main Methods:

A framework combining mmWave radar for person detection and camera sensors for face recognition.
Key components include mmWave radar person detection, camera integration, person identification, and door lock control.

Main Results:

The integrated system accurately detects and identifies individuals approaching a door.
Demonstrated improved accuracy and security over camera-only methods, addressing limitations like lighting conditions.

Conclusions:

The proposed framework offers a robust and secure solution for smart home access control.
The integration of mmWave radar and camera technology enhances the functionality and reliability of smart door locks.