This diploma thesis deals with the options of image processing on mobile platforms, especially on Android operating system, and their use in a driver drowsiness detection system. The introductory part analyses the influence of drowsiness on drivers, focusing chiefly on the microsleep, and describes the already existing driver drowsiness detection systems. The thesis proceeds by the description of possibilities of image processing on mobile platforms with the emphasis on Android operating system together with the OpenCV library, known from the desktop interface. This is followed by comparison of various options of library implementation on a mobile platform. The chapter on image processing describes the algorithms for the detection of objects in the image, usable for detection of face, eyes and their posture. The practical part implements the selected methods for the Android operating system. A referential application was created to provide an explanatory demonstration of these methods on a real device. The individual methods are compared on the basis of time consumption, error rate and other factors.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:219790 |
| Date | January 2012 |
| Creators | Hošek, Roman |
| Contributors | Číka, Petr, Beneš, Radek |
| Publisher | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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