ycliper

Популярное

Музыка Кино и Анимация Автомобили Животные Спорт Путешествия Игры Юмор

Интересные видео

2025 Сериалы Трейлеры Новости Как сделать Видеоуроки Diy своими руками

Топ запросов

смотреть а4 schoolboy runaway турецкий сериал смотреть мультфильмы эдисон
Скачать

How Does Your Phone Know It's You?

Silicon Up Close

dot projector

face id

face id explained

face id in the dark

face id sunglasses

face recognition

how does face id work

how face id works

infrared

iphone face id

neural engine

secure enclave

truedepth camera

Автор: Silicon Up Close

Загружено: 2026-10-18

Просмотров: 3604

Описание: How does Face ID work on iPhone, even in the dark and through sunglasses? Every time you glance at your phone, it throws a net of invisible infrared dots across your face (Apple put the count at more than 30,000), reads the shape of your face from where they land, and checks it inside a sealed room in the chip.

We follow one glance: the flood illuminator, the dot projector and the infrared camera, a depth map built from the dots, why many sunglasses let infrared through, the Secure Enclave and the Neural Engine, how a neural network turns a face into a list of numbers, and why a photograph can't fool it while twins and children sometimes can.

WATCH NEXT
How Did Phone Cameras Get This Good?    • How Did Phone Cameras Get This Good?  
What Happens Inside an AI Chip When You Ask a Question    • What Happens Inside an AI Chip When You As...  
How Does AI Actually Know Anything?    • How Does AI Actually Know Anything?  
Playlist, How Everyday Tech Works:    • How Everyday Tech Works  

CHAPTERS
0:00 How does your phone know it's you?
0:54 Light you can't see: infrared
2:14 A net of dots: the dot projector
4:55 Through your sunglasses
6:00 Down into the chip: the Secure Enclave
7:58 What it sees: your face as numbers
10:33 Tricksters: photos, masks and twins
11:59 It grows with you
12:35 One yes
13:08 Credits

CREDITS
All animations and illustrations in this film are original works of Silicon Up Close, made in Blender from Blender Studio's free Human Base Meshes (CC0): no real person's face is shown in them. The dots, the lasers, the depth landscape, the chip drawn as a city and the map of faces are our illustrations, not the design or layout of any product; infrared, which our eyes can't see, is drawn in red. The phone in them is a plain one with no maker's mark.
Footage from Pexels (Pexels License): Engin Akyurt, Rafael Martinez, cottonbro studio, K, Orhan Pergel, Florian Delée, KATRIN BOLOVTSOVA, MART PRODUCTION, German Korb, Julia M Cameron, Artem Podrez.
NASA's "Black Marble" (2012), the Earth at night: NASA Earth Observatory, via Wikimedia Commons (public domain).
Thumbnail: conceptual AI-generated artwork; the man is not a real person.

RESEARCH
Apple: "About Face ID advanced technology" (support.apple.com/102381); Apple Platform Security ("Biometric security", "Facial matching security", "The Secure Enclave"); "If Face ID isn't working on your iPhone or iPad Pro"; "About Touch ID advanced security technology"; Apple Newsroom, "The future is here: iPhone X" (12 September 2017), Finisar and VCSELs (13 December 2017), iPhone 15 Pro (12 September 2023).
Patents Apple owns, from PrimeSense: US 8,749,796 and US 8,150,142 (they describe methods, not the phone).
Pyo, Kim, Oh, Mah and Jang, "Evaluation of Optical and Thermal Properties of NIR-Blocking Ophthalmic Lenses Under Controlled Conditions", Sensors 25(11):3556 (2025).
Schroff, Kalenichenko and Philbin, "FaceNet: A Unified Embedding for Face Recognition and Clustering", CVPR 2015 (our map of faces pictures that published idea, not Apple's network, which Apple doesn't publish).
WIRED (Andy Greenberg), 14 November 2017: the boy on Staten Island. Coors Field: MLB.com (50,144). San Francisco: US Census Bureau, 1 July 2025 estimate (826,079).
For iPhone 18 Pro owners: Apple says these models also use extra image data, handled in a separate part of the chip it calls the Secure Exclave. This film follows the system Apple has described since 2017.

Our sums: about 8.2 billion people doing one sum a second would need about 73 seconds to match one second of 600 billion operations; a billion pictures at one a second is about 31.7 years.

#FaceID #iPhone #HowItWorks

Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...
How Does Your Phone Know It's You?

Поделиться в:

Доступные форматы для скачивания:

Скачать видео

  • Информация по загрузке:

Скачать аудио

Похожие видео

© 2025 ycliper. Все права защищены.



  • Контакты
  • О нас
  • Политика конфиденциальности



Контакты для правообладателей: [email protected]