Phan, H.-H. and Vinh, N.N. and Huu, N.N. (2023) An Efficient System for Personal Information Search in Cyberspace Using Facial Recognition Technology. In: UNSPECIFIED.
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The paper presents an artificial intelligence (AI) system, MTAFaceSearch, which finds images or videos containing a specific person's face among an extensive collection of online data. The proposed system integrates three main components: a Data Storage Mechanism, a Data Collection Module, and a Search Module. The system employs state-of-the-art deep learning models that can detect and recognize faces with high accuracy and robustness. The system also leverages advanced processing technologies such as parallel and cloud computing to speed up the face search process and handle large-scale data. The experiments show that our system achieves high accuracy and speed. © 2023 IEEE.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Divisions: | Offices > Office of International Cooperation |
| Identification Number: | 10.1109/ICCAIS59597.2023.10382379 |
| Uncontrolled Keywords: | Data acquisition; Deep learning; Digital storage; Search engines, Artificial intelligence systems; Cyberspaces; Data storage; Face searching; Faces detection; Facial recognition; High-accuracy; Information search; Online data; Personal information, Face recognition |
| Additional Information: | cited By 0; Conference of 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023 ; Conference Date: 27 November 2023 Through 29 November 2023; Conference Code:196337 |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/11109 |
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