Image recognition technologies
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a new way to park

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City Treasures

A treasure hunt surpassing
the traditional guided tours

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A new way to
experience fashion

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Mobile Image
Recognition

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Try it now!

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Photo Archive
Information
Retrieval

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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.

ParkingView

ParkingView is a flexible solution, which applies to public parking spaces or open spaces and allows you to know the free parking spaces, analyzing the information provided by the video sensors installed in the area.

ParkingView can be integrated with existing video surveillance and parking management systems.

VeSmartCamera: Complex visual analysis “at the edge”

Visual Engines provide technologies for visual analysis based on neural network.

Our solutions include: face recognition, person re-identification, early detection of dangerous or anomalous events, parking lots analysis, vehicle classification and counting, etc.. All solutions are fully executable by SBC on board of Smart Cameras.

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

VeMIR READYTOGO!

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

LARGE PHOTO ARCHIVES

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

NEWSPAPER SOCIAL

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.

WEB IMAGES

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