This paper briefly introduces the current status of power video surveillance,aiming at the limitations of its application,puts forward a design scheme of an intelligent analysis device for power trusted video with artificial intelligence analysis ability,that is,based on the distributed application idea of “main control + stacked AI unit” made in China,which has hundreds of TOPS computing power.This paper firstly elaborates the design scheme from the hardware architecture and data exchange,then introduces the trusted authentication startup into the device security protection,and finally focuses on optimizing an intelligent recognition algorithm.This scheme has flexible scalability,and can be based on the actual situation of the site preset security policies and deployment of appropriate intelligent analysis units,it has strong market competitiveness.
Key words
intelligence analysis /
trusted authentication /
stacked /
intelligent recognition algorithm
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
[1] 刘渊峰.电力系统视频监控网络安全接入协议研究[D].西安:西安电子科技大学,2019.
[2] 路明,杨林,李贤伟,等.智能视频分析技术在电力设备监控中的应用[J].东北电力技术,2018,39(10):26-29.
[3] 叶康,冷喜武,肖飞,等.基于大数据标签技术的电网监控智能分析方法[J].电测与仪表,2019,56(4):75-79.
[4] 吴俊.基于海思3518E的具有视频分析功能的监控终端设计[D].杭州:浙江工业大学,2020.
[5] 朱红岷,戴道清,李静正.基于图像处理的变电站视频智能分析研究[J].计算机工程与应用,2018,54(7):264-270.
[6] 贾宇为.电网视频监控行为分析系统的设计与实现[D].沈阳:中国科学院大学(中国科学院沈阳计算技术研究所),2020.
[7] 尹彦卿,龚华军,王新华.基于YOLOv3的嵌入式实时视频目标检测算法[J].计算机工程,2020,46(2):230-234.
[8] 赵羽,杨洁,刘淼,等.面向视频监控基于联邦学习的智能边缘计算技术[J].通信学报,2020,41(10):109-115.
[9] 刘喜文,何岗,杨贤文,等.基于智能视频图像分析的安全帽识别[J].计算机工程与设计,2020,41(5):1464-1471.
[10] 钟晓菲.视频监控中的智能人脸识别系统设计与实现[D].哈尔滨:哈尔滨理工大学,2020.
[11] 蒲瞻星,葛永新.基于多特征融合的小样本视频行为识别算法[J].计算机学报,2023,46(3):594-608.
[12] 侯瑞兵,常虹,马丙鹏,等.基于时序多尺度互补特征的视频行人重识别[J].计算机学报,2023,46(1):31-50.
[13] 龚琳茜.基于YOLO的目标人员身份识别与跟踪方法[J].计算机与数字工程,2022,50(12):2669-2672,2683.