Dr Hans Geiger and Dr Ernst Pechtl
Imagine Mary, a visitor to Italy, enjoying a glass of wine on the terrazza of a ristorante on the shores of Lago di Garda. When looking to the opposite shore, she notices a huge, bizarre rock: “Oh, look, what is that?” Mary takes a picture with her smart phone, which is equipped with a special piece of software transforming it into an “eye-Phone”. Mary marks the rock with the cursor and clicks “Identify”. A few seconds later she reads on her display: “This is the Rocca di Manerba”. She wants to know more and clicks “More information”, and after a few seconds she reads: “Here, the Romans in 354 a.d…” Her smart phone has learned that she is interested in history and therefore does not provide geological, but historical information, which is retrieved from image archives combined with internet databases and sent to the eye-Phone. Her smart phone contains the unique “Apollo” software, which, for the first time in history, is capable of identifying any object in an image – architecture, landscapes, arts, technical objects, animals, plants etc. and even people – without tedious training or manual interaction. The eye-Phone combines GPS/Galileo positioning data with object recognition for fast and reliable identification of objects. Compared to a usual smart phone, three components have been added: GPS, Apollo software (fits easily on the chip) and angle sensors.
The innovative “Apollo” technology used by the eye-Phone is capable of identifying virtually any object in a digital image – from any angle, in different or bad lighting conditions or in a poor quality image. The eye-Phone’s unmatched capabilities promise a wide range of applications in business and private use, in security, education, science, and tourism, etc. The combination of Galileo/GPS positioning data with the advanced retrieval functions of the eye-Phone achieves high reliability and speed – even with very large image archives.
Target customers for the eye-Phone are users of smart phones and digital cameras. Comparable growth rates as for smart phones can be expected (500% in 4 years); this will lead to annual sales of more than 100 m units within 4 years from the start.
Target customers for the Apollo technology are manufacturers of smart phones as well as telcos, which provide the appropriate services.
Instant recognition of architecture, art, technical objects, landscape, plants, animals, etc.
Easy handling since “Apollo” knows from the GPS data, where the user is and from the compass and elevation-sensor, exactly in which direction she points the camera. From the camera data “Apollo” knows the focus length. So “Apollo” easily ecognises when the user takes a total viewpoint, or focuses on details
Access to a growing global data base
Personalisation of the information provided, as “Apollo” recognises users’ preferences