Solutions |

Visual Products

Visual Engines produces tool-kits and frameworks allowing the inclusion of image search, recognition and retrieval in existing applications and brand new projects. The two main product lines are VeMIR and VePAIR. VeMIR is an SDK for mobile image recognition apps while VePAIR is a framework for the management, search and retrieval of very large image archives.

Visual Applications

The Visual Engines technologies may be exploited in many application domains such as cultural heritage, smart tourism, visual archives management, augmented newspapers, copyright infringement detection, visual shopping and many more. We are continuously experimenting with new projects and initiatives.

PRODUCTS

ParkingView

ParkingView is a flexible solution, which applies to public parking spaces or open spaces, and which can be integrated with existing video surveillance and parking management systems.

SEE FEATURES

VeMIR

VeMIR (Mobile Image Recognition Application) is a client-side SDK to develop accurate and extremely fast mobile image recognition applications. The platform is available on both iOS and Android supporting the same capabilities.

SEE FEATURES

VePAIR

VePAIR (Photo Archive Information Retrieval)

You can do every design solutions that you desired easily, with Mana Theme by using Theme Options, Page Builder, and Page Customizer

SEE FEATURES

Applications

City Treasures

City Treasures is an innovative app that allows you to have a guided tour of the city in an interactive and fun way!

SEE FEATURES

Fashion+

Fashion+ is an application supporting services like online shopping stores and fashion websites by using visual recognition, thus enhancing the offer of fashion companies by making it easier to shop on their websites and to enjoy additional services.

SEE FEATURES

APPLICATIONS

VeMIR READY-TO-GO

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

NEWSPAPER SOCIAL

A mobile app empowering people reading newspaper. Moving the smartphone cam over a printed newspaper the user my discover many digital asset behind pictures and articles. A proof of concept app for the “Il Tirreno” (italian newspaper) is currently under development.

WEB IMAGES

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

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.

Here are some smartphones apps developed using our visual recognition technology.