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The Design of Collaborative Surveillance System Based on Blockchain Technology

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Frontier Computing (FC 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 551))

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Abstract

Traditional surveillance system is a centralized architecture and have some drawbacks including single point of failure and is a private environment. Surveillance videos or images in such environment could not be shared with others so that illegal behavior or people could not be discovered in other surveillance system. Therefore, in this paper we proposed the design of distributed collaborative surveillance system based on blockchain technology. The human face recognition is the basic function in the surveillance system, we use CNN which is a deep leaning technology as the recognition engine and distribute the recognition results to distributed ledger with a secure way in blockchain network. We also reveal the possibility to apply blockchain technology to surveillance system besides the popular usage in financial domain.

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Author information

Authors and Affiliations

  1. Department of Information Management, Minghsin University of Science and Technology, Xinfeng, Hsinchu, Taiwan

    Chuan-Feng Chiu, Hsiao-Yu Wang, Han-Yun Hsieh & Wei-Chuan Chung

Authors
  1. Chuan-Feng Chiu
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  2. Hsiao-Yu Wang
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  3. Han-Yun Hsieh
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  4. Wei-Chuan Chung
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Corresponding author

Correspondence to Chuan-Feng Chiu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan

    Jason C. Hung

  2. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Japan

    Neil Y. Yen

  3. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan

    Jia-Wei Chang

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Chiu, CF., Wang, HY., Hsieh, HY., Chung, WC. (2020). The Design of Collaborative Surveillance System Based on Blockchain Technology. In: Hung, J., Yen, N., Chang, JW. (eds) Frontier Computing. FC 2019. Lecture Notes in Electrical Engineering, vol 551. Springer, Singapore. https://doi.org/10.1007/978-981-15-3250-4_25

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