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Design of Warehouse Chattel Supervision System Based on AI Video

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Advanced Manufacturing and Automation XI (IWAMA 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 880))

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Abstract

In this paper, the AI video supervision system of chattel is designed to monitor and manage chattel. The video is logged to AI processors by means of the image or video collecting hardware in this system. Once the system finding difference between the video and original setting, the data is output to alarms. The function of automatic, all-weather, intelligent and no dead angle is realized in the supervision of chattel system, and the system provides an effective and feasible way for the high efficiency and low cost of intelligent warehouse operation.

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References

  1. van Geest, M., Tekinerdogan, B., Catal, C.: Design of a reference architecture for developing smart warehouses in industry 4.0. Comput. Ind. 123, 103343 (2021)

    Article  Google Scholar 

  2. Irino, N., Shimoike, M., Mori, K., Yamaji, I., Mori, M.: A vision-based machine accuracy measurement method. CIRP Ann. 69(1), 445–448 (2020)

    Google Scholar 

  3. KalleKärhä, S.N., Karvonen, H., Kivinen, V.-P., Melkas, T., Nieminen, M.: Comput. Electron. Agric.158, 167–182 (2019)

    Google Scholar 

  4. Umstatter, C.: The evolution of virtual fences: a review. Comput. Electron. Agric. 75(1), 10–22 (2011)

    Article  Google Scholar 

  5. Kim, S.H., Lim, S.C., Kim, D.Y.: Intelligent intrusion detection system featuring a virtual fence, active intruder detection, classification, tracking, and action recognition. Ann. Nucl. Energy 112, 845–855 (2019)

    Article  Google Scholar 

  6. Pei, H., Wang, J., Chen, Z.: A review of camera relocation methods based on deep learning. In: The 21st China Conference on System Simulation Technology and Its Applications

    Google Scholar 

  7. Karanam, S.R., Srinivas, Y., Krishna, M.V.: Study on image processing using deep learning techniques. Mater. Today Proc. (2020)

    Google Scholar 

  8. Khan, A.I., Al-Habsi, S.: Machine learning in computer vision. Procedia Comput. Sci. 167, 1444–1451 (2020)

    Article  Google Scholar 

  9. Kashi, A.: Electronic fence using wireless mesh network (2009)

    Google Scholar 

  10. Goldman, R.: B-Spline approximation and the de Boor algorithm. Pyramid Algorithms 20, 347–443 (2003)

    Article  Google Scholar 

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Correspondence to Guiqin Li .

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Shen, Y., Li, G., Li, T., Liu, K., Mitrouchev, P. (2022). Design of Warehouse Chattel Supervision System Based on AI Video. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XI. IWAMA 2021. Lecture Notes in Electrical Engineering, vol 880. Springer, Singapore. https://doi.org/10.1007/978-981-19-0572-8_7

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