News Sony patent reveals multiple-camera PlayStation VR headset
Oct 11 2019
Now it's the turn of Sony Interactive Entertainment (SIE) with possible new designs for PlayStation VR which include possible improved tracking and wireless options.
Sony shared the announcement on its PlayStation blog, confirming not only the release date and official name but also a few other crucial details about the next-generation home console. In this article, we're going to look at the latest rumours and consider how much the PS5 will cost to buy at launch.
With a beefy PlayStation 5 indicate reputedly confirmed for 2020, followers are now left to wonder when Sony will snatch the veil. Even though numerous patent diagrams show a wire connecting the new headset to a games console, wireless is being considered. The company has launched PlayStation, PS One (redesigned PlayStation), PlayStation 2, PlayStation 2 Slimline, PlayStation 3, PlayStation 3 "Slim" model, "Super Slim" PlayStation 3, PlayStation 4, PlayStation 4 Slim and PlayStation 4 Pro. Particularly for the controller, Sony will replace the current rumble technology with a more advanced variant it calls haptic feedback that will apparently offer a "broader range of feedback". Developers can programme the resistance of these triggers so that users can feel the tactile sensation of drawing a bow and arrow, for example, or of accelerating an off-road vehicle through rocky terrain. For now, it's critical to narrate what the company might perhaps perhaps perhaps even have in retailer, but don't be shocked if the first understanding on the DualShock 5 comes courtesy of a Twitter post or Wired interview. According to Cerny, there is ray-tracing acceleration in the GPU hardware, which means the console won't resort to software tricks for ray-tracing.
While minor, fans will also be happy to know that the PlayStation 5 will be able to play 4K Blu-rays.
Layoffs also appear to have affected Sony teams in America. This time it will be more granular and the downloaded files won't be treated as a large chunk of data.