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00:00Smart Home Facial Recognition, How it Works and What You Need to Know
00:04Imagine your door unlocking at a glance.
00:07Facial recognition is moving from phones to homes, offering convenience with security
00:11and privacy risks.
00:13Facial recognition, powered by edge computing, is moving from phones to smart homes, unlocking
00:18doors, identifying visitors, and personalizing devices in over 77 million U.S. households.
00:25Edge computing enables fast, private facial recognition with 3D models like Lockly Visage
00:30using encrypted templates for 0.2 to 1 second, 99% accurate, spoof-resistant identification.
00:38Smart locks, cameras, doorbells, and displays like Echo Show, use facial recognition for
00:44hands-free access, familiar face identification, and personalized alerts.
00:49Facial recognition stores encrypted templates, not photos locally or in the cloud.
00:54Global processing, strong encryption, and clear data policies help mitigate breach and
00:58spoofing risks.
01:00Check compatibility, privacy, and installation needs before buying.
01:04Set up securely, manage profiles and guest access, and update regularly.
01:09Boost privacy by limiting cloud use, managing profiles and customizing alerts, while securing
01:14systems with backups, multi-factor locks, and IoT redundancy.
01:19Future FRT will combine adaptive AI, multimodal analysis, and environmental tuning, requiring
01:25consent, built-in privacy, backups, and updates amid evolving regulations like GDPR.
01:32Facial recognition is reshaping smart homes.
01:34Adopt it only if it fits your risk, needs, and privacy, staying informed and in control.
01:49Vocal recognition isďż˝ incorporated.
01:52We will send this package for people.
01:53What's the story?
01:54The informationоС updates is that we can do this.
01:57I Je sausun provides hands-free hearing this chat over time, listening area.
01:57LetÏslen is 14th pencil price.
01:59Bud needs a couple of issues you walking around.
02:01Since the windowless de maine FlĂśring.
02:02PetRL bleiben in dredge, transparency.
02:03Water Stern was making money out of the右 NGO's rights for example.
02:06Two green buildings and Frankel.
02:07Moving a couple of issues that have learned a lot of issues is that race-to- mira planet.
02:08Allך stepped in andConf poll welcome.
02:10Good morning.
02:11And after successful the primera device left in the code that
02:12the same language controller said we currently donkey heads to do that.
02:13We had to activist interesting zoom light,
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