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.
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.
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.
A simple mobile app allowing to test the extremely efficient recognition algorithms provided with the VeMIR SDK.
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.
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.
A very huge archive of images built crawling the web. This sample application prove the efficiency of the VePAIR framework.