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Intelligent Express Delivery System Based on Video Processing

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Data Science (ICPCSEE 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1451))

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Abstract

Although the scale of the express industry is large, it is difficult to achieve the function of fully intelligent receiving and sending express. In this paper, the intelligent express delivery system is proposed based on the image and video processing technology of OpenCV, the Faster R-CNN object detection algorithm and other technologies. Through the depth camera and electronic scale, it can identify the object category, volume and weight of the items placed on the scale by the sender and store the video of the objects packed into the cabinet. The overall framework of the system was constructed; key technologies were applied to realize the system; the function of the system was tested. The experimental results show that it achieves the intelligent automation of delivery and delivery through the integrated express delivery system of intelligent identification and information traceability, which promotes the development of express delivery industry.

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References

  1. Dong, P.: The development path of logistics express industry under the background of artificial intelligence. Mod. Econ. Inf. 05, 407 (2019)

    Google Scholar 

  2. Tu, Y.: Practice and exploration of video post processing based on artificial intelligence. Inf. Record. Mater. 21(11), 74–75 (2020)

    Google Scholar 

  3. Jiang, D., Shi, R., Fang, Q.: research on the construction method of 720° panoramic scene based on OpenCV and OpenGL. Survey. Mapping Spatial Geograph. Inf. 44(02), 68–72 (2021)

    Google Scholar 

  4. Han, J.: Design of intelligent express container based on MCU. Electron. Technol. Softw. Eng. 05, 84–85 (2021)

    Google Scholar 

  5. Zeng, W., Zhang, S., Ma, Y., et al.: Survey of image detection and recognition algorithm based on convolution neural network. J. Hebei Acad. Sci. 37(04), 1–8 (2020)

    Google Scholar 

  6. Yanping, T.: Practical exploration of artificial intelligence for video post-processing. Mater. Inf. Record. 21(11), 74–75 (2020)

    Google Scholar 

  7. Cheng, Y.: Teaching software of wood defect image segmentation based on OpenCV Python. Forestry Mach. Amp; Woodworking Equipment 49(01), 36–39 (2021)

    Google Scholar 

  8. Zhang, Y., Bai, J., Meng, F., et al.: Application of convolution neural network in image recognition. New Technol. New Process (01), 52–55 (2021)

    Google Scholar 

  9. Liu, W., Liu, Y.: Moving object tracking and detection based on OpenCV. Electron. World 01, 156–157 (2021)

    Google Scholar 

  10. Wang, Y., Wang, C., Shishui, Y.: Panoramic Video processing technology analysis. Res. Propag. Force 3(22), 287 (2019)

    Google Scholar 

  11. Mingwei, X., Wang, D., Ye, J.: Design of port fire prevention system based on convolution neural network image recognition. J. Tianjin Polytech. Normal Univ. 29(04), 21–24 (2019)

    Google Scholar 

  12. Hau, N.-X., Tran-Thai, S., Van Thinh, L., et al.: Learning spatio-temporal features to detect manipulated facial videos created by the deepfake techniques. Forensic Sci. Int. Digital Invest. 36, 301108 (2021)

    Google Scholar 

  13. Duan, L., Ding, W., Shao, W., et al.: Design of intelligent monitoring system based on OpenCV. Autom. Technol. Appl. 39(12), 34–39 (2020)

    Google Scholar 

  14. Zhang, X., Wu, F., Li, Z.: Application of convolutional neural network to traditional data. Expert Syst. Appl. 168, 114185 (2021)

    Google Scholar 

  15. Yang, Y., He, P., Deng, L., et al.: Object recognition and weighing system based on internet of things. Commun. World 27(01), 200 (2020)

    Google Scholar 

  16. Deng, X., Huang, R., He, J., et al.: Artificial intelligence: a new way of innovation and development of express industry. Netw. Secur. Technol. Appl. (11), 101–102 (2019)

    Google Scholar 

  17. Xie, H.: Implementation of face recognition and delivery system based on SSM framework. Inf. Commun. 02, 83–84 (2020)

    Google Scholar 

  18. Jin, H., Chen, C.: Systematic analysis of express industry. Mod. Econ. Inf. (08), 387 (2019)

    Google Scholar 

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Author information

Authors and Affiliations

  1. College of Information Engineering, Nanjing Xiaozhuang University, Nanjing, 211171, China

    Chuang Xu, Yanqing Wang, Ruyu Sheng & Wenjun Lu

Authors
  1. Chuang Xu
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  2. Yanqing Wang
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  3. Ruyu Sheng
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  4. Wenjun Lu
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Editor information

Editors and Affiliations

  1. North University of China, Taiyuan, China

    Jianchao Zeng

  2. North University of China, Taiyuan, China

    Pinle Qin

  3. Northeast Forestry University, Harbin, China

    Weipeng Jing

  4. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  5. National Academy of Guo Ding Institute of Data Science, Beijing, China

    Zeguang Lu

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Xu, C., Wang, Y., Sheng, R., Lu, W. (2021). Intelligent Express Delivery System Based on Video Processing. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2021. Communications in Computer and Information Science, vol 1451. Springer, Singapore. https://doi.org/10.1007/978-981-16-5940-9_28

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  • DOI: https://doi.org/10.1007/978-981-16-5940-9_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-5939-3

  • Online ISBN: 978-981-16-5940-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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