• Acta Optica Sinica
  • Vol. 41, Issue 1, 0106002 (2021)
Tiegen Liu1、*, Kun Liu1, Lin Dai2, Junfeng Jiang1, Jian Wang2, Zhenyang Ding1, Mei Sang1, Haofeng Hu1, Shuang Wang1, Chao Xue2, Jingbin Wang2, and Ye Deng2
Author Affiliations
  • 1School of Precision Instruments and Opto-Electronics Engineering, Key Laboratory of Opto-Electronics Information Technology, Ministry of Education, Tianjin Optical Fiber Sensing Engineering Center, Tianjin University, Tianjin 300072, China
  • 2Tiandy Technologies Co., Ltd., Tianjin 300392, China
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    DOI: 10.3788/AOS202141.0106002 Cite this Article Set citation alerts
    Tiegen Liu, Kun Liu, Lin Dai, Junfeng Jiang, Jian Wang, Zhenyang Ding, Mei Sang, Haofeng Hu, Shuang Wang, Chao Xue, Jingbin Wang, Ye Deng. Research Progress of Key Technologies in Recognition Sensing for Opto-Electronic Information and Event[J]. Acta Optica Sinica, 2021, 41(1): 0106002 Copy Citation Text show less

    Abstract

    At present, the number of illegal intrusion incidents in the field of public security is increasing rapidly, so new sensing technologies are urgently needed to detect illegal intrusion events. Aiming at the bottleneck problems of accurate positioning, accurate identification, and multi parameter fusion, Tianjin University, Tiandy Technologies Co., Ltd., and other research institutions have proposed the key technology for event recognition and perception of photoelectric information. It closely integrates the advantages of video monitoring and distributed optical fiber sensing technology. This technology has realized all-weather and full coverage monitoring and recognition of abnormal events in key areas through the optical time and frequency domain distributed disturbance positioning technology, interference signal pattern recognition technology, superstar optical image recognition technology, video capture analysis and recognition technology, multi parameter sensing perception and fusion technology, active polarization tracking and sensing technology, etc. This paper focuses on the research progress of key technologies of event recognition and perception in photoelectric information events.
    Tiegen Liu, Kun Liu, Lin Dai, Junfeng Jiang, Jian Wang, Zhenyang Ding, Mei Sang, Haofeng Hu, Shuang Wang, Chao Xue, Jingbin Wang, Ye Deng. Research Progress of Key Technologies in Recognition Sensing for Opto-Electronic Information and Event[J]. Acta Optica Sinica, 2021, 41(1): 0106002
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