|Tirreno Social is an innovative application of image recognition and mobile technologies targeted to printed newspapers. Visual Engines has made available the framework VeMIR to build an iOS and Android App empowering printed newspaper readers by augmenting the newspaper with digital assets such as online articles updates, videos and discussions on social networks.The partner in this experience is Il Tirreno, an Italian regional newspaper featuring sixteen local editions around Tuscany. It was founded in 1877 under the name Il Telegrafo it is currently part of the Gruppo Editoriale L’Espresso.|
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how it works
BEHIND THE SCENE
The VeMIR recognizer need to be instructed to recognize the newspaper pages. Every morning the newspaper editors prepare an archive file with the images of the pages and the reference to linked digital assets. The archive is loaded on the VeMIR repository and properly processed.
Ready to scan
When the device is ready, tapping the “Scan” button will open the video cam and start the scanning process. The app would take fraction of seconds to get an image, check if it knows it (it tries 6 times for each image). If the image is recognized, it jump to the digital asset linked to the recognized part of the newspaper page, otherwise it restart the process.