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Advanced Safety Sensor for Gate Automation

  • Luca Bombini
  • Alberto Broggi
  • Stefano Debattisti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6979)

Abstract

This paper presents a vision-based method able to increase safety in access automation systems. These systems include automatic swing and sliding gates, bollards and barriers to prevent unwanted access. In current installations the anti-crushing protection is ensured by an electronic device installed on the control boards, which directly controls drive torque, and a couple of infrared photodetectors: when an obstacle is touched by the gate leafs or barriers, or cuts the infrared beam, the control board stops the gate movement. Conversely, the new method proposed in this paper avoids collisions with obstacles and increases the overall detection performance. The new device returns a stop signal when an obstacle is present in a predefined area. The algorithm has been integrated in a real access system to test its performance.

Keywords

safety sensor gate automation control obstacle detection stereo vision 

References

  1. 1.
    Broggi, A., Medici, P., Porta, P.: StereoBox: a Robust and Efficient Solution for Automotive Short Range Obstacle Detection. EURASIP Journal on Embedded Systems (June 2007)Google Scholar
  2. 2.
    Benezeth, Y., et al.: Review and evaluation of commonly-implemented background subtraction algorithms. In: Pattern Recognition, ICPR (2008)Google Scholar
  3. 3.
    Bertozzi, M., Broggi, A., Fascioli, A.: Stereo inverse perspec- tive mapping: theory and applications. Image and Vision Computing 16(8), 585–590 (1998)CrossRefGoogle Scholar
  4. 4.
    Collins, R.T., Lipton, A.J., Kanade, T.: A system for video surveillance and monitoring. Carnegie Mellon Univ., Pittsburgh (2000)Google Scholar
  5. 5.
    Bertozzi, M., Bombini, L., Broggi, A., Cerri, P., Grisleri, P., Zani, P.: GOLD: A Complete Framework for Developing Artificial Vision Applications for Intelligent Vehicles. IEEE Intelligent Systems (2008)Google Scholar
  6. 6.
    Informations on safe doors/gates, EN 12445 EN 12453Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Luca Bombini
    • 1
  • Alberto Broggi
    • 1
  • Stefano Debattisti
    • 1
  1. 1.VisLab – Dipartimento di Ingegneria dell’InformazioneUniversità degli Studi di ParmaItaly

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