IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400

IoT applications revolutionize industries by enhancing operations, enabling data-driven decisions, and fostering innovation. This study explores the growing potential of IoT-based facial recognition for mobile devices, a technology rapidly advancing within the interconnected IoT landscape. The inves...

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Vydáno v:	Journal of low power electronics and applications Ročník 14; číslo 3; s. 46
Hlavní autoři:	Mohammad, Ahmad Saeed, Jarullah, Thoalfeqar G., Al-Kaltakchi, Musab T. S., Alshehabi Al-Ani, Jabir, Dey, Somdip
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.09.2024
Témata:	Accuracy Algorithms Artificial intelligence Big Data Biometry Computational linguistics Computer vision Deep learning Electronic health records Energy consumption Equipment and supplies Face recognition FaceNet facial identification Facial recognition technology Identification Information management Innovations Internet of Things Internet-of-Things applications Language processing Machine learning MobileNetV2 Multilayer perceptrons Natural language interfaces Neural networks Optimization techniques Raspberry Pi type-400 Real time Smart phones Smartphones Software Support vector machines Surveillance Technology application User experience United Kingdom Iraq
ISSN:	2079-9268, 2079-9268
On-line přístup:	Získat plný text
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