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Estimation of the intelligent camera computing power for the real-time image preprocessing

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Advances development of visual sensor technology, digital communications and networking technique has enabled the deployment of a growing number of high-tech varied kind visual systems. One of this advances vision systems are smart cameras. Smart cameras refer to the new generation cameras with high capabilities. Image sensors combined with processors create a new vision solution of all-in-one type. The objects of statements were a test of intelligent camera functionality on the computing power benchmark. The authors tested other hardware pieces like a memory or storage functionality. All possesses results was compare with stand alone PC tower in variety kind. The piloted test may give answer about smart cameras suitability in application for material handling devices. The tested SmartCam is ideal devices for built vision application for monitoring material handling devices or types non standard vision application or operation parameters. Small dimension (tested camera dimension is only 110 x 55 x 55 [mm] and low level of power consumption with relatively enough computing power are ideal for use with non standard vision application, especially for material handling devices in variety usage. Small dimension (tested camera dimension is only110 x 55 x 55 mm) and low level of power consumption with relatively enough computing power are ideal for use with non standard vision application, especially for material handling devices in variety usage.
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  • AGH University of Science and Technology Faculty of Mechanical Engineering Mickiewicza Av.30, PL 30-059 Krakow, Poland tel.: + 48 12 6173103, + 48 12 6173104, fax: + 48 12 6173531, szpytko@agh.edu.pl
Bibliografia
  • [1] Blebachir, A. N. (ed.), Smart Cameras, Springer, ISBN 978-1-4419-0952-7, New York 2010.
  • [2] Bramberger, M., Pflugfelder, R. P., Maier, A., Rinner, B., Strobl, B., Schwabach, H., A Smart Camera for Traffic Surveillance, Proceedings of the first Workshop on Intelligent Solutions in Embedded Systems (WISES), pp.1-12, 2003.
  • [3] Broers, H., Caarls, W., Jonker, P., Kleihorst, R., Architecture Study for Smart Cameras, Proceedings EOS Conference on Industrial Imaging and Machine Vision European Optical Society, pp. 39-49, Munich, Germany 2005.
  • [4] de Sousa, A., Smart Cameras as Embedded Systems, Proceedings First International Conference On Computer Applications (ICCA2003), Session 4: Embedded Systems, pp. 105-112, 2003.
  • [5] Hornberg, A. (ed), Handbook of Machine Vision, WILEY-VCH Verlag GmbH & Co KgaA, ISBN 978-3-527-40584-8, Weinheim, 2006.
  • [6] Kleihorst, R., Broers, H., Abbo, A., Ebrahimmalek, H., Fatemi, H., Corporaal, H., Jonker, P., An SIMD-VLIW smart camera architecture for real-time face recognition, In proceedings of Research on Integrated Systems and Circuits (ProRISC ‘03), pp. 1-7, 2003.
  • [7] Lally, E. F., Mosaic Guidance for Interplanetary Travel, In: Space Flight Report to the Nation, American Rocket Society, pp. 2249-2261, 1961.
  • [8] Levis, I., The Myths and Realities of Image Acquisition, Photonics Spectra, ISSN: 0731-1230, pp. 70-72, November 2006.
  • [9] Szpytko, J., Hyla, P., Material handling devices operation environment 3D-type presentation based on laser scanning systems, Journal of KONES, Vol. 17, No. 2, pp.451-458, 2010.
  • [10] Szpytko, J., Hyla, P., Odwzorowanie Przestrzeni Roboczej środka Transportu Technologicznego z Użyciem Układu Wizyjnego, Czasopismo Techniczne, Wydawnictwo Politechniki Krakowskiej, T. II, Z. 7, s. 505-514, Kraków 2011.
  • [11] Szpytko, J., Hyla, P., Rola i funkcjonalność wbudowanych środowisk operacyjnych w systemach wizyjnych, Logistyka, Nr 3, s. 2659–2670, 2011.
  • [12] Szpytko, J., Hyla, P., Work space supervising for material handling devices with machine vision assistance, Journal of KONBiN, Safety and reliability systems, No. 3-4, pp. 7-16, Warsaw 2009.
  • [13]Wittke, M., Hoffmann, M., Hähner, J., Müller-Schloer, Ch., MIDSCA: Towards a Smart Camera Architecture Of Mobile Internet Devices, 2nd ACM/IEEE International Conference On Distributed Smart Cameras (ICDSC-08), pp. 1-10, Stanford University 2008.
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bwmeta1.element.baztech-article-BUJ5-0041-0060
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