Apple is reportedly gearing up to enter into a new market this year with its first AR/VR headset. The device is one of the most talked-about products from the company. Apple is not known to reveal anything about its upcoming products but the rumors around the company’s AR/VR headset have been in circulation for a while now. As per a latest report by Bloomberg’s Mark Gurman, SharePlay and Memojis may be central to the FaceTime Experience on Apple’s mixed-reality headset. Introduced with iOS 15, the SharePlay feature gives users the ability to stream movies, TV, music and other media using FaceTime. When a user plays media, playback immediately starts for the whole group at the same time.
For those who don’t know, Apple introduced personlised Animoji called Memoji a few years ago. You can customize a Memoji as per your choice of head shape, brows, nose, eye color and several other facial features. Guraman suggests that FaceTime will revolve around these existing experiences in the upcoming headset that will allegedly run on ‘realityOS’.
As per previous report by known Apple analyst Ming-Chi Kuom the tech giant will likely launch the gadget in late 2022 with limited supplies. As per the report, he believes that the shipment of the product won’t begin until the first quarter of 2023, suggesting that only a limited number of headsets will be available to customers at the time of the launch. A paper Shared Display Supply Chain (DSCC) last week also suggested the same launch timeline for the headset.
The report also revealed that the upcoming device will have a three-display configuration. As per the reports, Apple will combine two Micro OLED displays and one AMOLED panel in the headset. According to a previous report by Ming-Chi Kuo, the Apple headset will weigh between 300 and 400 grams. He also said that the headset will be able to deliver performance compared to the M1 chipsets that the company uses in the MacBooks. Other rumors suggest that the device will also be equipped with advanced sensors for environment and gesture detection.
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