Instant Medical Pill Recognition on Mobile Phones

Andreas Hartl, Clemens Arth, and Dieter Schmalstieg


Object Recognition, Applications, Mobile Computer Vision


Smartphones have attracted a lot of interest recently as they are becoming more and more computationally powerful platforms for all kinds of tasks in mobile environments. Due to the availability of high quality mobile phone cameras, the use of these platforms even for critical applications leveraging Computer Vision techniques is justified. In this paper we present an application of Computer Vision techniques for instant and interactive medical pill detection and recognition on mobile phones. Our approach is designed to help trained or untrained personnel outside of medical facilities to perform the task of identifying tablets interactively with or without the help of online resources. By describing our application in detail and giving results on the recognition task we are proofing the plausibility of our approach.

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