ARKit is not enough, 4 technologies that can fully utilize AR potential

Apple released the ARKit suite at the WWDC 2017 Developer Conference, which has officially debuted with iOS 11, and users can already download AR applications on the AppStore. At the same time, Google also released ARCore, allowing developers to develop applications for Android devices. It is expected that 100 million Android phones will experience the appeal of AR applications.

Although AR is still in its infancy, it differs from VR (virtual reality) in that it has a lower threshold and does not require the purchase of an expensive heads-up or PC to achieve a new human-computer communication experience. Of course, AR still needs to do four key parts in order to be truly popular and provide a good experience to use. Let's take a look.

New form of display

At present, the AR experience with the mobile phone screen as a carrier may be a bit elementary, but the tech giants are making active attempts and innovations. For example, Google and Apple have invested in mobile OLED screen companies. Samsung, LG and others are also developing new forms of displays, such as flexible screens.

The ultimate goal of advanced display is to change the shape of existing equipment. Such as smart glasses, more energy-efficient, flexible screen can bring about evolution in the design and use experience, change the shortcomings of the first generation of products such as Google glasses. You know, using a mobile phone for AR interaction is never as comfortable and natural as glasses.

5G network

The coming 5G network will affect people's lives in all aspects. The AR experience is also one of them. Compared with 4G, the 5G network is faster than the 4G. The greater improvement is that the bandwidth is greatly increased and the delay is extremely low, which provides a solid foundation for real-time data transmission. The significance of AR lies in the stable high-speed data transmission, which allows the AR content to be highly interactive with the real environment. Whether it is a game or a self-driving car, the user will feel that the AR is not just a superimposed image but a real interaction.

Deep learning

Deep learning based on artificial intelligence (AI) is also a key aspect of AR development. The significance of deep learning is to give AR a more realistic and advanced interactive experience. For example, it can automatically adjust the AR image display effect according to the actual environment (such as lighting, area); or in an AR game like “Princess Pokemon Go”. , generate and track AR content more intelligently, reduce the phenomenon of inhumanity (such as allowing users to go to dangerous places or private homes to find treasure dreams).

Interactive way

Finally, AR needs to explore the most suitable way to interact with itself, so that virtual content can be more perfectly integrated with the real world. This is the key to interaction and experience.

The performance of VR in this section is obviously not good enough. This is one of the reasons why consumers do not buy it. AR clearly can learn from it. From the current point of view, advanced interaction methods include gestures, eyeballs or motion tracking, as well as indirect manipulation through tools such as handles. Obviously, what is currently the easiest to implement is the so-called "handle," but obviously not the best solution.

Relatively speaking, 3D gestures and even eye tracking are more promising, especially in the mobile domain, without the need to carry extra tools, allowing users to interact with AR content in a more natural way. Of course, this will take some time.

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