May 8, 2014
The paper version of Il Tirreno comes alive. The editor of “Il Tirreno” newspaper Roberto Bernabo and the director of the Pisa branch of CNR (National Research Council) Domenico Laforenza, officially presented the mobile application “IL TIRRENO SOCIAL” based on the image recognition framework and products from Visual Engines (VeMIR).
| 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 |
Newspaper pages images loaded on the VeMIR Recognizer Repository
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.
TIRRENO SOCIAL APP STARTS
When the user launches the Tirreno Social app it immediately checks if it is updated and, if necessary, download the daily data from the server.
Tirreno Social splash screen
Mobile device is ready to scan the newspaper
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.
Found something …
When the app recognizes the newspaper page we are looking at, it immediately stop scanning and load the associated digital content.
Front page was recognized. It is linked to the Facebook account.
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