Design of Street Monitoring System Based On Open Source Platform
||International Journal of Computer & Organization Trends (IJCOT)||
|© 2021 by IJCOT Journal|
|Volume - 11 Issue - 2
|Year of Publication : 2021|
|Authors : Zhekai Cao, Chunyan Zhang, Qianhao Wang, Jiawei Ma, Yunxiang Lu|
|DOI : 10.14445/22492593/IJCOT-V11I2P304|
MLA Style:Zhekai Cao, Chunyan Zhang, Qianhao Wang, Jiawei Ma, Yunxiang Lu "Design of Street Monitoring System Based On Open Source Platform" International Journal of Computer and Organization Trends 11.2 (2021): 12-13.
APA Style:Zhekai Cao, Chunyan Zhang, Qianhao Wang, Jiawei Ma, Yunxiang Lu(2021) Design of Street Monitoring System Based On Open Source PlatformInternational Journal of Computer and Organization Trends, 11(2), 12-13.
With the improvement of Internet technology and computer performance, the street monitoring system can add the functions of face image matching and human posture judgment database to record the situation of people entering and leaving the street and judge whether residents have unexpected situations such as accidental faint. Improve the safety of the street. This system takes the open-source platform as the design basis, which provides a certain reference for the design of the street monitoring system.
 Ye Ning. The application of Internet of things technology in the smart home under the background of big data [J]. Journal of Jiamusi Vocational College, 2021 minute 37 (04)(2021) 52-53.
 Zheng Mengwang. On the Application of Intelligent Video Surveillance Technology in Public Security Management of Residential District [J]. Journal of Hunan Police College,32 (04)(2020) 30-35.
 Zhang Hao. Cross-platform research and practice of C # language [J]. Computer knowledge and Technology, 2019jue 15 (13) 109-112.
 Han Kun, Huang Zefan. Fall behavior recognition method based on human posture dynamic characteristics [J]. Journal of Hunan University (Natural Science Edition), 47 (12)(2020) 69-76.
 Chen Zhangshao, Bi Sheng, Dong Min, Fang Zhenglin, Lang Tieshan. Human motion recognition system based on deep learning [J]. Application of single Chip Microcomputer and embedded system, (12)(2020) 10-14.
 Li Ji, Zhou Xuanhong, he Yong, Liu Xin, Chen Zewei. Target detection algorithm based on scale invariance and feature fusion [J]. Journal of Nanjing University (Natural Science), 2021 minute 57 (02) 237-244.
 Wang Yang. Summary of image matching methods [J]. Computer and Telecommunications, 2009 (05) 84-86.
 Yu Yang, Xiao Yang, Ren Fangyu, Zang Yuzhe, Liu Haijun. Summary of methods of feature image extraction and registration based on Opencv and remote sensing [J]. Science and Technology Innovation Bulletin, 2018 Magi 15(10)(2018) 48-49.
 Shen Gang, Yuan Pengtai. Application of attitude estimation algorithm in Video Surveillance [J]. Computer Age, (12)( 2020) 33-37.
Monitoring system; image matching; open-source platform