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2. Ray-Ban Meta Smart Glasses: We Tested the New Content ... - AOL

   www.aol.com/lifestyle/ray-ban-meta-smart-glasses...

   "Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." It’s been two years since the Ray-Ban Stories smart glasses made a debut. That $299 gadget combined ...

3. Ray-Ban Meta - Wikipedia

   en.wikipedia.org/wiki/Ray-Ban_Meta_Smart_Glasses

   Ray-Ban Meta is a range of smartglasses created by Meta Platforms and EssilorLuxottica. They include two cameras, open-ear speakers, a microphone, and touchpad built into the frame. [ 1 ] They are latest in a line of smartglasses released by major companies including Snap Inc and Google and are designed as one component of Facebook’s plans ...

4. Ray-Ban - Wikipedia

   en.wikipedia.org/wiki/Ray-Ban

   Website. ray-ban .com. Ray-Ban is a brand of luxury sunglasses and eyeglasses created in 1936 by Bausch & Lomb. The brand is best known for its Wayfarer and Aviator lines of sunglasses. In 1999, Bausch & Lomb sold the brand to Italian eyewear conglomerate Luxottica Group for a reported $640 million. [ 1][ 2]

5. Ray-Ban Wayfarer - Wikipedia

   en.wikipedia.org/wiki/Ray-Ban_Wayfarer

   Ray-Ban Wayfarer sunglasses and eyeglasses have been manufactured by Ray-Ban since 1952. Made popular in the 1950s and 1960s by music and film icons such as Buddy Holly , Roy Orbison and James Dean , Wayfarers almost became discontinued in the 1970s, before a major resurgence was created in the 1980s through massive product placements .

6. Mark Zuckerberg shows off Meta’s new AI Ray-Bans ... - AOL

   www.aol.com/news/mark-zuckerberg-shows-off-meta...

   AI Ray Bans have a camera that can record and speakers in the glasses’ arms

7. Facial recognition system - Wikipedia

   en.wikipedia.org/wiki/Facial_recognition_system

   Overall accuracy rates for identifying men (91.9%) were higher than for women (79.4%), and none of the systems accommodated a non-binary understanding of gender. [193] It also showed that the datasets used to train commercial facial recognition models were unrepresentative of the broader population and skewed toward lighter-skinned males.