Designing a Portable Camera Image Acquisition System Operating Within an Indoor Wi-Fi Network and Optimized for A Robotic Vehicle

  • Authors

    • Anu Priya George
    • X Felix Joseph
    2018-08-15
    https://doi.org/10.14419/ijet.v7i3.27.17673
  • Cortex-m4, camera, Wi-Fi, PC, IOT.3
  • Nowadays people working in industrial sectors face lot of problem like placing a valuable objects or things in some place unknowingly and searching it. To overcome this problem we are moving into the field of Object searching and identify which assist industrial sectors and research labs. Object searching mechanism is a challenging task. Real time object search poses many difficulties in recognizing objects. We are tending to do real time image capturing as well as recognizing techniques and it will forward data through Wi-Fi used in embedded device. The proposed system makes use of computer vision techniques based on real time image processing and recognizing the object and send via internet to PC. 

     

     

  • References

    1. [1] Levinson J, Askeland J, Dolson J & Thrun S, “Traffic light mapping, localization, and state detection for autonomous vehiclesâ€, IEEE International Conference on Robotics and Automation (ICRA), (2011), pp.5784-5791.

      [2] Yung NHC & Lai AH, “An effective video analysis method for detecting red light runnersâ€, IEEE Transactions on Vehicular Technology, Vol.50, No.4,(2001), pp.1074-1084.

      [3] Tu Z & Li R, “Automatic recognition of civil infrastructure objects in mobile mapping imagery using a markov random field modelâ€, International Archives of ISPRS, Vol.33, No.2,(2000).

      [4] Gavrila DM, Franke U, Wohler C & Gorzig S, “Real time vision for intelligent vehiclesâ€, IEEE Instrumentation & Measurement Magazine, Vol.4, No.2,(2001), pp.22-27.

      [5] Pang GK & Liu HH, “LED location beacon system based on processing of digital imagesâ€, IEEE Transactions on Intelligent Transportation Systems, Vol.2, No.3,(2001), pp.135-150.

      [6] Shioyama T, Wu H, Nakamura N & Kitawaki S, “Measurement of the length of pedestrian crossings and detection of traffic lights from image dataâ€, Measurement Science and Technology, Vol.13, No.9,(2002).

      [7] Lindner F, Kressel U & Kaelberer S, “Robust recognition of traffic signalsâ€, IEEE Intelligent Vehicles Symposium, (2004), pp.49-53.

      [8] Chung YC, Wang JM & Chen SW, “A vision-based traffic light detection system at intersectionsâ€, Journal of Taiwan Normal University, Mathematics Science and Technology, Vol.47, No.1, (2002), pp.67-86.

      [9] Fairfield N & Urmson C, “Traffic light mapping and detectionâ€, IEEE International Conference on Robotics and Automation (ICRA), (2011), pp.5421-5426.

      [10] John V, Yoneda K, Qi B, Liu Z & Mita S, “Traffic light recognition in varying illumination using deep learning and saliency mapâ€, IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), (2014), pp.2286-2291.

      [11] G Ainabekova, Z Bayanbayeva, B Joldasbekova, A Zhaksylykov (2018). The author in esthetic activity and the functional text (on the basis of V. Mikhaylov’s narrative (“The chronicle of the great juteâ€). Opción, Año 33. 63-80.

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  • How to Cite

    Priya George, A., & Felix Joseph, X. (2018). Designing a Portable Camera Image Acquisition System Operating Within an Indoor Wi-Fi Network and Optimized for A Robotic Vehicle. International Journal of Engineering & Technology, 7(3.27), 132-134. https://doi.org/10.14419/ijet.v7i3.27.17673