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四目一体化半球网络摄像机系统设计OA

Design of Four-Lens Integrated Dome Network Camera System

中文摘要英文摘要

为减少大场景监控中设备的繁杂程度,实现多区域行人连续追踪,设计并开发了四目一体化半球网络摄像机.硬件系统以数字信号处理器(Digital Signal Processor,DSP)为核心,搭配800万像素图像传感器和千兆以太网收发芯片,实现大场景视频远程实时监控.在软件方面,运用多摄像头目标跟踪算法实现多区域行人连续追踪任务,并针对目标检测算法YOLO(You Only Look Once)在检测阶段进行改进,通过优化主干及颈部网络和替换损失函数,使模型平均精度提升了 2.8个百分点,运算次数降低约30%.通过实地场景测试,验证了四目一体化半球网络摄像机运行稳定可靠,运动目标平均追踪准确率为91.3%,能够用于大场景复杂区域的实时监控与行人追踪.

In order to reduce the complexity of the equipment in the large scene monitoring,and to achieve the continuous tracking of pedestrians in multiple areas,a four-lens integrated dome network camera is designed and developed.The hardware system takes digital signal processor(DSP)as the core,with an eight-megapixel image sensor and a gigabit Ethernet transceiver chip,to realize remote real-time monitoring of large-scene video.In terms of software,multi-camera target tracking algorithm is used to reach multi-area pedestrian continuous tracking task,and the target detection algorithm YOLO(You Only Look Once)is improved in the detection phase.By optimizing the backbone and neck network,and replacing the loss function,the average accuracy of the model is improved by 2.8%,and the computation amount is reduced by about 30%.Through the field scene test,it is verified that the four-lens integrated dome network camera operates stably and reliably,and the average tracking accuracy of the moving target is 91.3%,which can be used for real-time monitoring and pe-destrian tracking in the complex area of large scenes.

张梦杰;李博;阮斌

浙江工业大学物理学院,浙江 杭州 310023||浙江宇视科技有限公司,浙江 杭州 310051浙江工业大学物理学院,浙江 杭州 310023浙江宇视科技有限公司,浙江 杭州 310051

信息技术与安全科学

网络摄像机行人追踪一体化目标检测

network camerapedestrian trackingintegrationobject detection

《测控技术》 2026 (3)

44-51,8

10.19708/j.ckjs.2026.03.304

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