Exactly two years have passed since Xiaomi presented its Mi 5C smartphone, which was equipped under the body with the first (and only) proprietary processor of the Xiaomi Surge S1 brand. An experiment, perhaps a fiasco, but since that March 2017 there have been many news that saw the company protagonist in the creation of mid-range self-produced SoCs, although to date there is no trace of the continuation in this adventure.
The rumors that led us to believe that the company could develop a new Surge S2 have been innumerable, but the most recent information from China, today put an end to the idea that Xiaomi continues the development project of its proprietary processors . Xiaomi would have abandoned its ambitions to launch a smartphone line up with a proprietary processor, to focus on other types of low-consumption chipsets like those Low-power Bluetooth, RF chip and other peripheral components, equally useful if not indispensable elements, inside smartphones and not, but certainly less expensive to develop and produce.
Goodbye Xiaomi Surge: the new investments will focus on DEEPerceptron
Research and development for Xiaomi will focus mainly on the photographic sector, starting from the sensors that during the year have gone from 48 MP to 64 and then 108 MP resolution, while the future already focuses on 150 MP sensors. The engineers of the Asian brand are also developing new retractable camera solutions, which range from patents relating to folding smartphones to pop up solutions and anything else the imagination suggests, but remaining with our feet on the ground Xiaomi works to improve traditional solutions.
Here then comes investments in the company DEEPerceptron, whose work ranges from artificial intelligence to new technologies used in cameras and lenses, of which Xiaomi holds 19,05% of the shares.
In particular, DEEPerceptron is working on a technology related to 3D cameras, in charge of making a 3D mapping of the frame. The fields of use are various, starting from the development of augmented reality and object recognition, but also to the increase of security based on Face Unlock.
