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Eye-safe projection system with flexible architectureFormat | Member Price | Non-Member Price |
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Paper Abstract
Nowadays multimedia projectors of various types are widely used in many areas of human life. Significant part of all
projector devices are used in two main areas: education (e. g. on lectures) and business (e. g. on all sorts of meetings).
What makes projector a demanded device? It provides a user with high quality full color large diagonal image for a much
lower price than display devices that based on other popular non-projecting technologies. However the absolute majority
of projectors share a significant disadvantage. If human steps into the beam two major negative effects appear: a
distorted image appears on human’s body and human’s eyes become glared by bright light. The first effect is undesirable
by the audience and the second effect is undesirable by the presenter. To avoid the abovementioned effects short throw
projectors can be used but they are more expensive than regular ones and have significant limitations on the placement
spot: usually the lens of a short-throw projector is designed so that it has to be placed on a fixed distance to the screen.
We propose a different solution of similar problem: instead of moving the projector towards the screen let us black out
the human (or other obstacle) from it. To do so our system must know the exact position of human. In this paper we
propose a system with flexible architecture that realizes the above-mentioned solution.
Paper Details
Date Published: 7 March 2014
PDF: 8 pages
Proc. SPIE 9024, Image Processing: Machine Vision Applications VII, 902408 (7 March 2014); doi: 10.1117/12.2036096
Published in SPIE Proceedings Vol. 9024:
Image Processing: Machine Vision Applications VII
Kurt S. Niel; Philip R. Bingham, Editor(s)
PDF: 8 pages
Proc. SPIE 9024, Image Processing: Machine Vision Applications VII, 902408 (7 March 2014); doi: 10.1117/12.2036096
Show Author Affiliations
Viacheslav Sabirov, Skolkovo Institute of Science and Technology (Russian Federation)
Published in SPIE Proceedings Vol. 9024:
Image Processing: Machine Vision Applications VII
Kurt S. Niel; Philip R. Bingham, Editor(s)
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