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Archive for month: September, 2015

  • Russian face control technology sets sights on global markets

    Intense competition between Facebook and the Russian social network, Odnoklassniki, has given the visual recognition technology start-up, Kuznech, a chance to firmly establish itself on the Russian market and to enter the U.S. Market.

    The Russian-American startup, Kuznech, was founded in 2010, and since then the company has won 10 international IT awards. In 2014, its revenues reached $700,000.
    Kuznech’s success story began in 2012 when Facebook bought the face detection technology provider, Face.com. The latter then recalled its license from the Russian social network, Odnoklassniki, a popular competitor to Facebook on the local market. Kuznech, which is based in Boston and San Francisco, moved quickly to occupy that niche.

    Technology inspired by insects
    The company’s name derives from the Russian word for “grasshopper,” and the technology it uses truly has much in common with the green insect. Grasshoppers have multiple eyes and they see the world as a picture consisting of numerous dots. “Our technology is powered by neural networks that represent simplified models of the nervous system of living organisms,” said company co-founder, Michael Pogrebnyak. “In other words, the principles that our technology is based on are very similar to the processes that take place during visual recognition in the human brain: learning, generalization, abstraction.”

    The idea behind the technology belongs to one of the company’s co-founders, Alexander Valencia Campo. He was developing computer games and constantly came up against the problem of searching for similar images of illustrations. Initial investment in the project was $500,000, with a further $750,000 invested in 2011-2012 by the Skolkovo Foundation.
    Kuznech currently offers eight products, and the main ones are visual search and recognition for images and videos, as well as mobile recognition. The company holds four patents; one in Russia and three in the U.S.

    Future in medicine
    Kuznech’s main clients are news agencies, online stores, and social networks. The company’s development center is based in St Petersburg, and the big names on the Kuznech’s client list include Mail.ru Group (Russia), and PartsTown (USA). There are different ways to monetize the technology for various products. Annual non-exclusive licenses are the main one.
    On the world market, especially in North America, many competitors offer similar technology, such as Idee. According to Pogrebnyak, however, the advantage of Kuznech’s technology is that it’s practically universal and can be built into different applications.

    Pogrebnyak is convinced that this technology has huge potential in analyzing medical images. “We are trying to detect melanomas and other skin growths, and we plan to set up a melanoma cell detector for doctors,” added Pogrebnyak. “However, things have been rather slow as investors like the idea but are in no hurry to put money into it.”
    Konstantin Vinogradov, an analyst with Runa Capital venture fund, believes that one of the most crucial challenges for startup companies in this field is lack of scalable, profitable and unoccupied market niches. “Kuznech can capture a part of the international market if it focuses on a few cases that its competitors haven’t, but it will be difficult because there are already a lot of players on the U.S. market and local players from Southeast Asia,” Vinogradov said.

    fd-global-markets

    You can try Kuznech’s Face Detection and Face Recognition demo here: http://facedetection.kuznech.com/

    Read article оn rbth.com

  • 10 questions to a founder : Kuznech

    By Paul Melcher @Kaptur.co

    Image recognition, visual search and content classification have been around for a while with various degree of success. With mobile shopping exploding, as well as myriads of photo/video based platforms, it is now at the core of almost any online experience. While Google, Yahoo, Facebook and Microsoft throw millions in research for their own gain, independent companies offer powerful solutions to the rest of the market. 4 years old Russia-based Kuznech is one of them. We spoke with co-founder and CEO Michael Pogrebnyak to learn more:

    ­— Explain Kuznech. What does it solve?

    “Kuznech” is a shortened version of a Russian word “kuznechik”, which means grasshopper. The vision of grasshoppers is very different from that of human beings and many other creatures. Grasshoppers have 5 eyes in total: three small eyes on the top of the head and two large compound eyes. Each compound eye is made up of thousands of very tiny eyes called ommatidia. These miniature eyes take in small portions of light from the full image that a grasshopper is observing and build a big picture out of these “data”. We thought that a grasshopper could be a great symbol for a company working on image, video and object recognition.

    ­— What kind of companies use your technology?

    Mainly, these are companies that manage large databases of visual information (images and videos): dating sites, social networks, video and image hosting platforms. For all these types of companies, we provide content moderation services, like nudity detection (checking whether the UGC contains adult content or not), video and image search, avatar moderation. In this field, we work with Russian’s largest social networks Odnoklassniki and VKontakte (Mail.ru Group).

    Then, it’s e‐commerce market, where we present our mobile recognition solution: “See – Snap – Purchase”. For example, a US company PartsTown (they sell genuine OEM replacement parts for restaurants and commercial kitchens) and Russian HSC (Helicopter Service Company) use our recognition technology in their mobile applications.

    And the third use case is logo recognition in images and videos. Here we look towards sports sponsorship market and work with marketing managers of sports clubs.

    Read more

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