Trend 1: Mobile ar continues to grow

Apple released arkit4, and rival Google’s arcore technology is also in a leading position in the industry. Since its launch in 2017, these tools have helped developers easily enter the AR market. Due to more application support, the number of devices with AR function and their users has increased greatly.

Since 2017, Apple has revealed other updates to arkit, such as arkit2.0 for wwdc2018, arkit3.0 for wwdc2019, and arkit4.0 for wwdc2020. Some of the latest developments related to arkit4.0 include position anchors, new depth APIs, and improved face tracking. This allows Apple’s arkit developers to take advantage of the power of the latest iPhone’s lidar hardware.

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At the same time, Google’s arcore continues to innovate, and has launched publicly produced Street View Photos. As long as Android users have smart phones that support arcore, Google will accept Street View Photos submitted. Although these must meet specific quality criteria, it shows that arcore has made enough improvements. In motion capture, simultaneous use of front and rear cameras and tracking of multiple faces. Compared with Google play store, Apple App store also has ar enabled applications, providing more than 2000 applications to users. However, given Android’s larger global market share on IOS, arcore is used more widely. But it varies from region to region. By 2020, for example, IOS will have more market share in the United States than Android.

In terms of active users, the numbers vary widely, according to artistry intelligence. Arkit has 950 million active users, while arcore has only 122 million.

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Trend 2: the combination of AR and retail shopping

Providing consumers with virtual shopping choices has become an important trend of many retailers, such as American Apparel, UNIQLO, lacoste, Kohls, Sephora. It’s not just for clothing. IKEA’s app allows customers to use AR technology to see the appearance of their furniture and other products.

Virtual fitting room technology will not disappear soon. It is estimated that the global market will reach US $10 billion by 2027. The advantages, convenience and growing acceptance of virtual fitting room technology indicate that it will continue to be popular in the next few years.

Augmented reality technology improves accuracy, accuracy and fidelity, so it is more attractive to customers. By taking advantage of the lighting conditions around users, advanced facial recognition and personalized suggestions, AR retail experience will be set to fundamentally change the shopping experience of consumers.

According to the 2020 IBM U.S. retail index report, 41% of respondents are interested in trying to use virtual fitting rooms to enhance their shopping experience, while 18% of respondents have tried the technology.

Trend 3: navigation with AR

With the increase of bandwidth and the control of indoor environment, the advantages of AR for indoor navigation are obvious. A variety of tools can be used to enhance experiences of different sizes, such as Bluetooth beacons, ceiling antennas and QR codes. Arkit and arcore based apps help consumers find their routes at airports, shopping malls and other locations.

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Advances in augmented reality technology have greatly improved in store navigation. This can help customers find exactly what they want when shopping in person.

Google’s arliveview walk route has been improved since it first entered beta in August 2019. In October 2020, Google announced a number of new features to improve the outdoor arliveview experience. These include the ability to overlay landmarks and extend real-time display to more cities. Integration between liveview and Google Maps location sharing will also be available to consumers in the near future. In addition, in arkit4, Apple introduced a powerful outdoor ar navigation tool geotracking, which uses street view to ensure the best positioning. The AR navigation of Gaode in China has also been fully launched.

Tencent map and didi also share some key technologies about AR navigation (the technology behind didi ar live navigation); Foreign Google has recently updated and improved the AR navigation function, with more friendly interaction, more intuitive and efficient navigation: Google ar navigation map update: landmarks, user interface optimization

Trend 4: further integration of AR and AI

The role of artificial intelligence in augmented reality cannot be underestimated. The high requirements of augmented reality software can not only rely on manual programming to display virtual objects in the real world. Neural network and machine learning can complete these tasks with higher efficiency, and can greatly improve the augmented reality experience.

Without a strong team of data science engineers, machine learning and artificial intelligence will not work. The analysis and collection of training data is crucial to the success of machine learning programs designed to support ar software. Engineers also need to fine tune and optimize the model carefully before integration and deployment.

AI can also play a supporting role with AR. For example, you can use the AR experience on your smartphone to provide automated advice to shoppers in the store. These suggestions will be supported by chat robots with natural language processing (NLP) technology.

Without AI support, AR driven virtual fitting room technology will not be realized. AI plays a crucial role in analyzing the user’s facial features and contours and, if necessary, the rest of the body.

Trend 5: deep integration of AR and automobile industry

Ar has a huge impact on the automotive industry. One of the clearest applications of the technology is through the use of head up display (HUD), which will provide practical services for drivers, enabling them to process information that supports their vision, rather than hindering them.

For drivers, the most important practical application of arhud is safety. HUD can make drivers aware of potential dangers that may not be noticed without distracting them or preventing them from looking at the road. Nissan’s invisible light (I2V) technology has used AR and AI to make drivers aware of potential dangers such as nearby objects. If the driver’s attention begins to drift, the system can also divert the driver’s attention to the road.

In addition to AR’s driving app, AR can also be used for car marketing. BMW and Accenture have designed an AR app that allows customers to experience new cars in their own lanes without going to the dealership. They can also see the appearance of the virtual car in different colors. In 2021, Mercedes Benz S-class will adopt ar navigation and 3D eye tracking

Trend 6: more application scenarios of lidar

Lidar technology has gained more support on consumer devices such as iphone12pro and iphone12promax and iPad pro2020. The usage trend of lidar in the scale of consumer devices provides a wide range of possibilities for enhancement. Lidar is integrated into a more portable platform and more comfortable head mounted ar devices, such as glasses.

Editor in charge: CC

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