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Light-Adaptive Vision System for Remote Surveillance Using an Edge Detection Vision Chip

  • Choi, Kyung-Hwa (Department of Sensor and Display Engineering, Kyungpook National University) ;
  • Jo, Sung-Hyun (School of Electronics Engineering, Kyungpook National University) ;
  • Seo, Sang-Ho (Samsung Mobile Display) ;
  • Shin, Jang-Kyoo (School of Electronics Engineering, Kyungpook National University)
  • Received : 2010.12.30
  • Accepted : 2011.05.16
  • Published : 2011.05.31

Abstract

In this paper, we propose a vision system using a field programmable gate array(FPGA) and a smart vision chip. The output of the vision chip is varied by illumination conditions. This chip is suitable as a surveillance system in a dynamic environment. However, because the output swing of a smart vision chip is too small to definitely confirm the warning signal with the FPGA, a modification was needed for a reliable signal. The proposed system is based on a transmission control protocol/internet protocol(TCP/IP) that enables monitoring from a remote place. The warning signal indicates that some objects are too near.

Keywords

References

  1. H. Y. Hyun, J. S. Kong, and J. K. Shin, "Fundamental research of the target tracking system using a CMOS vision chip for edge detection", J. Kor. Sensors Soc., vol. 18, no. 3, pp. 190-196, 2009. https://doi.org/10.5369/JSST.2009.18.3.190
  2. C. Y. Wu and C. F. Chiu, "A new structure of the 2-D silicon retina", IEEE J. Solid-State Circuits, vol. 30, pp. 890-897, 1995. https://doi.org/10.1109/4.400431
  3. J.S. Kong, H.Y. Hyun, S.H. Seo, and J.K. Shin, "Retina-motivated CMOS vision chip based on the column parallel architecture and switch-selective resistive network," ETRI Journal, vol. 30, no. 2, pp. 783-789, December 2008. https://doi.org/10.4218/etrij.08.0108.0263
  4. C. Y. Wu and C. F. Chiu, "A new structure of the 2-D silicon retina", IEEE J. Solid-State Circuits, vol. 30, pp. 890-897, 1995. https://doi.org/10.1109/4.400431
  5. J.S. Kong, H.Y. Hyun, S.H. Seo, and J.K. Shin, "Retina-motivated CMOS vision chip based on the column parallel architecture and switch-selective resistive network," ETRI Journal, vol. 30, no. 2, pp. 783-789, December 2008. https://doi.org/10.4218/etrij.08.0108.0263
  6. S.H. Suh, J.H. Kim, J.S. Kong, and J.K. Shin, "Vision chip for edge detection with a function of pixel FPN reduction", J. Kor. Sensors Soc., vol. 14, no. 3, pp. 191-197, 2005. https://doi.org/10.5369/JSST.2005.14.3.191
  7. J.S. Kong, S.H. Suh, S.H. Kim, J.K. Shin, and M.H. Lee, "Resolution improvement of a CMOS vision chip for edge detection by separating photo-sensing and edge detection circuits", J. Kor. Sensors Soc., vol. 15, no. 2, pp. 112-119, 2006. https://doi.org/10.5369/JSST.2006.15.2.112
  8. R. Takami, K. Shimonomura, S. Kameda, and T. Yagi, "An image pre-processing system employing neuromorphic $100{\times}100$ pixel silicon retina[robot vision applications", Circuits and Systems, ISCAS 2005. IEEE International Symposium, vol. 3, pp. 2771 - 2774, 2005. https://doi.org/10.1109/ISCAS.2005.1465201
  9. S.K. Mendis, S.E. Kemeny, R.C. Gee, B. Pain, C.O. Staller, Q. Kim, and E.R. Fossum, "CMOS active pixel image sensors for highly integrated imaging systems", IEEE Journal of Solid-State Circuits, vol. 32, pp. 187-197, 1997. https://doi.org/10.1109/4.551910
  10. J.H. Kim, J.H. Park, J.K. Shin, and M.H. Lee, "Analysis of local light adaptation mechanism in a biologically motivated CMOS vision chip for edge detection", IEEE Int. Conf. Neural Networks and Signal Processing, vol. 1, pp. 275-278, 2003. https://doi.org/10.1109/ICNNSP.2003.1279264
  11. H. Okuno and T. Yagi, "Real-time robot vision for collision avoidance inspired by neuronal circuits of insects", Proc. of the 2007 IEEE/RSJ Int. Conf. on Intelligent robots and systems, pp. 1302-1307, 2007. https://doi.org/10.1109/IROS.2007.4399089
  12. H. Yamada, T. Miyashita, M. Ohtani, K. Nishio, H. Yonezu and Y. Furukawa, "An integrated circuit for two-dimensional edge-detection with local adaptation based on retinal networks", Optical Review, vol. 9, no. 1, pp. 1-8, 2002. https://doi.org/10.1007/s10043-002-0001-8
  13. R. Takami, K. Shimonomura, S. Kameda and T. Yagi, "An image pre-processing system employing neuromorphic $100{\times}100$ pixel silicon retina", Proc. IEEE Intl. Symp. On Circuits and Systems, 2005. https://doi.org/10.1109/ISCAS.2005.1465201
  14. H. Okuno and T. Yagi, "Bio-inspired real-time robot vision for collision avoidance", Journal of Robotics and Mechatronics, vol. 20, no.1, 2008.
  15. J.S. Kong, S.H. Jo, S. Lee, K.H. Choi, S.H. Seo and J.K. Shin, "Operation of a wide dynamic range CMOS image sensor based on dual sampling mechanism and its SPICE simulation", J. Kor. Sensors Soc., vol. 19, no. 4, pp. 285-290, 2010. https://doi.org/10.5369/JSST.2010.19.4.285
  16. S. Lee, S.H. Seo, J.S. Kong, S.H. Jo, K.H. Choi, P. Choi and J.K. Shin, "Dynamic range extension of the n-well/gate-tied PMOSFET-type photodetector with a built-in transfer gate", J. Kor. Sensors Soc., vol. 19, no. 4, pp. 328-335, 2010. https://doi.org/10.5369/JSST.2010.19.4.328