A New Framework for Smart Doors Using mmWave Radar and Camera-Based Face Detection and Recognition Techniques
المؤلف | Akbari, Younes |
المؤلف | Al-Binali, Abdulaziz |
المؤلف | Al-Mohannadi, Ali |
المؤلف | Al-Hemaidi, Nawaf |
المؤلف | Elharrouss, Omar |
المؤلف | Al-Maadeed, Somaya |
تاريخ الإتاحة | 2024-06-06T10:04:25Z |
تاريخ النشر | 2023-12-28 |
اسم المنشور | Sensors |
المعرّف | http://dx.doi.org/10.3390/s24010172 |
الاقتباس | Akbari, Y., Al-Binali, A., Al-Mohannadi, A., Al-Hemaidi, N., Elharrouss, O., & Al-Maadeed, S. (2023). A New Framework for Smart Doors Using mmWave Radar and Camera-Based Face Detection and Recognition Techniques. Sensors, 24(1), 172. |
الرقم المعياري الدولي للكتاب | 1424-8220 |
الملخص | By integrating IoT technology, smart door locks can provide greater convenience, security, and remote access. This paper presents a novel framework for smart doors that combines face detection and recognition techniques based on mmWave radar and camera sensors. The proposed framework aims to improve the accuracy and some security aspects arising from some limitations of the camera, such as overlapping and lighting conditions. By integrating mmWave radar and camera-based face detection and recognition algorithms, the system can accurately detect and identify people approaching the door, providing seamless and secure access. This framework includes four key components: person detection based on mmWave radar, camera preparation and integration, person identification, and door lock control. The experiments show that the framework can be useful for a smart home. |
اللغة | en |
الناشر | Multidisciplinary Digital Publishing Institute (MDPI) |
الموضوع | camera face detection face recognition mmWave radar smart doors |
النوع | Article |
رقم العدد | 1 |
رقم المجلد | 24 |
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