Advanced Facial Recognition Systems for Real-Time Embedded Applications by Guerbaoui Mohammed, Misbah Nouhaila, Selmani Abdelouahed, El Faiz Samira, Benhala Bachir, Ed-Dahhak Abdelali, Lachhab Abdeslam

“…Addressing mounting concerns in security and surveillance, this project aims to develop an advanced facial recognition system using a 2D detection approach. Leveraging the Intel RealSense 415 camera connected to a Raspberry Pi 3. …”
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The impact of digital technologies on modern society. An example of a social credit rating system in China by A. P. Klimovich

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Personal Identification Using Embedded Raspberry Pi-Based Face Recognition Systems by Sebastian Pecolt, Andrzej Błażejewski, Tomasz Królikowski, Igor Maciejewski, Kacper Gierula, Sebastian Glowinski

“…This study focuses on the development and validation of a facial recognition system utilizing a Haar cascade classifier and the AdaBoost machine learning algorithm. …”
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USING ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT PROCESSES by A. V. Blinnikova, D. K. Ying

“…Practical examples of the use of artificial intelligence tools such as chatbots, mood analysis technologies, voice assistants, facial recognition system in the field of human resource management have been given.…”
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Facial Recognition Databases: Recent Developments and Review of Methods by Waleed Ayad, Siraj Qays, Asanka G. Perera, Ali Al-Naji

“…Standard datasets of images of appropriate size for a subject should be accessible to the public to compare the performance and assessment of identification or verification of a facial recognition system. This paper aims to present a review of the most popular 2D unmasked and masked face datasets available in the current century that are accessible for free download or can be certified with an acceptable effort, where these databases are suitable for training and testing 2D face recognition approaches. …”
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Reliable detection of doppelgängers based on deep face representations by Christian Rathgeb, Daniel Fischer, Pawel Drozdowski, Christoph Busch

“…Abstract Doppelgängers (or lookalikes) usually yield an increased probability of false matches in a facial recognition system, as opposed to random face image pairs selected for non‐mated comparison trials. …”
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Effective preprocessing techniques for improved facial recognition under variable conditions by Afolabi I. Awodeyi, Omolegho A. Ibok, Idama Omokaro, Jones U. Ekwemuka, Michael O. Ighofiomoni

“…Facial recognition systems are increasingly used across various applications; however, their performance often degrades in challenging conditions such as poor lighting and occlusions. …”
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Machine learning and facial recognition for down syndrome detection: A comprehensive review by Khosro Rezaee

“…The findings suggest that while AI-driven facial recognition systems hold promise in enhancing diagnostic accuracy, they must be complemented with traditional clinical methods and improved datasets to ensure reliable and equitable healthcare outcomes.…”
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Prototype Of DPO Search Information System (People Search List) On CCTV Cameras Using Face Recognition by Tri Reski Anugraha, Dedy Atmajaya, Lilis Nur Hayati, Nurhajar Anugraha

“…So on that basis, researchers are developing existing technologies with facial recognition systems using the face recognition method for housing security. …”
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Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50 by Eiman Wahab, Wajeeha Shafique, Habiba Amir, Sameena Javed, Muhammad Marouf

“… In today's rapidly evolving world, where technology is progressing swiftly, there is an increasing demand for facial recognition systems. Technologies are similar to digital forensics in that they can recognize people by scanning faces. …”
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Generating and Improving a Dataset of Masked Faces Using Data Augmentation by Waleed Ayad, Siraj Qays, Ali Al-Naji

“…To evaluate the masked dataset and data augmentation, an accuracy of 96.4% was achieved by training one of the latest and most important facial recognition systems, FaceNet, on the masked dataset. …”
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