Object recognition

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Object recognition is an important feature in both Augmented reality and virtual reality. AR uses object recognition to deliver contextually aware information and multimedia. In VR, many systems are designed in such a way so that they are aware of their surroundings, which is in some cases essential for safe operation.

Augmented Reality

Google Glass

Google Glass was the first system to demonstrate how object recognition can be used in AR. First released by Google in February 2013, the system uses a special liquid crystal on silicon (LCoS), optical head-mounted display with 640x360 pixels resolution to display information from many existing Google applications, as well as those created by third-party developers. Google Glass is able to recognize an image in a scene, track its position, and augment the display by displaying appropriate information. This may be a map with navigation, price information for shoppers, office and business hours, or nutrition information of food items.

Development of augmented reality apps for Google Glass is made very accessible thanks to several SDKs that are currently available with Wikitude SDK being the most popular. The SDK enables developers to take advantage of built-in image recognition and tracking technology, position-aware services with geo-referenced data, embed videos from YouTube or Vimeo, and more. It is a very quick way how anybody who is interested in augmented reality and object recognition can develop a new practical application and showcase just how this technology could be integrated with our daily lives. Other solutions include, for example, CraftAR, which is a suite of tools created for agencies, publishers, and companies that would like to leverage technological possibilities of AR and IR to create ads, magazines, and catalogs. The technology works on all major mobile operating systems and supports the most popular programming languages and 3D engines.