Multi-functional prefab home approaches with facial recognition security
Product Details:
Place of origin: China
Certification: CE, FCC
Model Number: Model E7 Capsule | Model E5 Capsule | Apple Cabin | Model J-20 Capsule | Model O5 Capsule | QQ Cabin
Payment and shipping terms:
Minimum order quantity: 1 unit
Packaging Details: Film wrapping, foam and wooden box
Delivery time: 4-6 weeks after payment
Payment terms: T/T in advance
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Product Name
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Multi-functional prefab home approaches with facial recognition security |
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Exterior Equipment
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Galvanized steel frame; Fluorocarbon aluminum alloy shell; Insulated, waterproof and moisture-proof construction; Hollow tempered
glass windows; Hollow tempered laminated glass skylight; Stainless steel side-hinged entry door. |
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Interior Equipment
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Integrated modular ceiling &wall; Stone plastic composite floor; Privacy glass door for bathroom; Marble/tile floor for bathroom;
Washstand /washbasin /bathroom mirror; Toilet /faucet /shower /floor drain; Whole house lighting system; Whole house plumbing &electrical system; Blackout curtains; Air conditioner; Bar table; Entryway cabinet. |
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Room Control Unit
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Key card switch; Multiple scenario modes; Lights&curtains with intelligent integrated control; Intelligent voice control; Smart
lock. |
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Website:pdfs.semanticscholar.org
Introduction:which provides limited protection for home security. Therefore, this project proposed a design for smart home multi-factor authentication using facial rec-ognition and a one-time password sent to smartphones for a home security sys-tem. Rapid application development was the methodology for conducting this study.
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Facial recognition security systems Ericsson
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(PDF) Smart Home Security Using Facial Authentication and
Website:www.researchgate.net
Introduction:This paper presented a home automation security system that employs the Internet of Things (IoT) for remote access to one's home through an Android application, as well as Artificial
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An efficient multimodal 2D + 3D feature-based approach to
Website:www.sciencedirect.com
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Website:link.springer.com
Introduction:Applicable facial recognition technology was first rooted in biometrics, or the study of converting physical features into mathematical structures using measurements and geometry. In the late 20th century, the concept of the eigenface was introduced which pioneered this approach to facial recognition . Translating the features of the face into
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Deep Convolutional Neural Network-Based Approaches for Face
Website:www.researchgate.net
Introduction:Abstract and Figures. Face recognition (FR) is defined as the process through which people are identified using facial images. This technology is applied broadly in biometrics, security
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Website:www.researchgate.net
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Website:link.springer.com
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(PDF) A hybrid approach for face recognition using a
Website:www.researchgate.net
Introduction:Facial recognition technology has been used in many fields such as security, biometric identification, robotics, video surveillance, health, and commerce due to its ease of implementation and
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Frontiers EmotionNet Nano: An Efficient Deep Convolutional
Website:www.frontiersin.org
Introduction:While recent advances in deep learning have led to significant improvements in facial expression classification (FEC), a major challenge that remains a bottleneck for the widespread deployment of such systems is their high architectural and computational complexities. This is especially challenging given the operational requirements of various FEC applications, such as safety, marketing
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Multi-functional prefab home approaches with facial recognition security
which provides limited protection for home security. Therefore, this project proposed a design for smart home multi-factor authentication using facial rec-ognition and a one-time password sent to smartphones for a home security sys-tem. Rapid application development was the methodology for conducting this study. d problem of identifying or verifying a person in digital images or video frames through the facial biometric pattern and data. The technology collects a set of unique biometric data of each person associated with their face and facial expression to authenticate a person. Face recognition technology is mostly used for
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