Image identification

Main article: Artificial intelligence

The market of technologies for image identification

According to Markets And Markets published in 2017, the size of the market of image identification will reach $29.98 billion by 2020 with average CAGR at the level of 19.1%. Sensing technologies of images comprise recognition of patterns, optical images, the code, objects and digital photos. They or separately, or in the integrated type are used in such spheres as security and observation, scanning and creation of images, marketing and advertizing, augmented reality and search of images.

The key driver of this market is leaving of all processes both in business, and in consumer segment in clouds and also growth of influence of the Internet, smartphones, social media. Actors of this market are such large corporations as NEC, Google, Honeywell, Hitachi and Qualcomm. Also there is a great number of players, smaller by the size, such as LTU Technologies, Attrasoft, Blippar and SLYCE, and such vendors as Catchoom and Wikitude.

VisionLabs Luna

Main article: VisionLabs Luna

The platform of face recognition VisionLabs LUNA - a flagship product of VisionLabs company. LUNA allows to analyze in real time enormous volumes of the photo and video given with the purpose of determination of persons of people in them and their comparison with multimillion databases. Based on this technology the cloud service of FACE_IS which can connect clients with the previous history of their purchases is also created and help to build interaction with a brand. Solutions of the company are plug’&’play, by default have integration into the majority of databases, CRM and BI systems, and do not demand from users of replacement of the equipment as they are integrated into their existing IT infrastructure.

The company was founded in 2012 and Skolkovo is a resident of an IT cluster. The company specializes in the solutions allowing to distinguish persons of clients in the most fast-growing segments of the market: banking sector and retail. By 2016 the University of Massachusetts (USA) included VisionLabs in the three of the best world systems in the field of face recognition for dealing purposes.

N-Tech Lab

Main article: N-Tech Lab

The Russian company N-Tech Lab was founded in 2015 and is engaged in face recognition using neural networks. In December, 2015 the algorithm FaceN won first place in the world The MegaFace face recognition championship, having managed to bypass Google developers. The task was in selecting in million base of photos of the image of the same people.

According to representatives of the company, the developed algorithm allows to recognize photos even better than the person. In addition to traditional invariant signs (value of eyes, the size of lips, etc.), a system finds such invariant signs which a human eye is not capable to select.

In February, 2016 the company started the new FindFace project which, using an algorithm FaceN, allows to find according to the photo user profiles in social network "VKontakte".

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