Image recognition technologies for next generation apps
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A treasure hunt surpassing
the traditional guided tours

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A new way to
experience fashion

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Mobile Image

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Try it now!

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Photo Archive

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VisualEngines was started in 2013 by a group of researchers, developers and managers with the goal of building industrial products from the visual technologies developed by the Information Science and Technologies Institute (ISTI-CNR) of CNR (Italian National Research Council) in Pisa.

VeMIR: Fast Image Recognition on Mobile devices

VeMIR is a client-side mobile solution that doesn’t require any server side connection to recognize images because it runs on the mobile device itself. This makes VeMIR extremely fast and always available, even when no internet connection is available.

VePAIR: Perfect Solution for Large Photo Archives

VePAIR is a software solution for large photo archives (millions of photos) based on image recognition technologies. VePAIR may be used to build efficient and features reach products supporting search by similarities, check copyright infringement, recognize faces, and a lot more.

VisualEngines technologies may be used to enrich mobile users experience and build archive management applications with stunning new features


A simple mobile app allowing to test the extremely efficient recognition algorithms provided with the VeMIR SDK.


Management of very large photo archives enabling users to match similarities and find copies of an image among millions of archived photos.


A mobile app empowering people reading a newspaper. Moving the smartphone cam over a printed newspaper the user my discover many digital asset behind pictures and articles. Augmented reality based an image recognition.


A very huge archive of images built crawling the web. This sample application prove the efficiency of the VePAIR framework.