Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 369-373.doi: 10.11896/jsjkx.201100099

• Network & Communication • Previous Articles     Next Articles

Review of Low Power Architecture for Wireless Network Cameras

HE Quan-qi, YU Fei-hong   

  1. College of Optical Science and Engineering,Zhejiang University,Hangzhou 310027,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:HE Quan-qi,born in 1998,postgra-duate,is a member of China Computer Federation.His main research interests include embedded software of camera and the image processing.
    YU Fei-hong,born in 1964,Ph.D,professor,Ph.D supervisor.His main research interests include optical design and image processing.

Abstract: At present,wireless network camera is playing an increasingly important role in the field of environmental monitoring,military monitoring and urban monitoring.When used in remote or closed environments,the wireless network camera is powered by batteries and it is not convenient to replace the battery.The camera must meet the requirements of long battery life.The battery life of the camera is determined by the power consumption of the camera and the battery capacity.Since there is no breakthrough in battery technology,the low-power architecture design of wireless network cameras has become an important research direction.Firstly,the hardware solutions and power consumption performance of wireless network cameras are listed and analyzed.Then,the power performance of different coding algorithms is compared.In the aspect of camera dynamic power management,the dynamic power model of wireless network camera is proposed and analyzed,which provides the theoretical basis for dynamic power management.The power model of camera state switching is also analyzed,and the threshold time of camera state switching in time-out mode is determined.Finally,the overall design process of low power architecture of wireless network camerais presented.

Key words: Battery, Dynamic power management, Embedded application system, Low energy consumption architecture, Wireless network camera

CLC Number: 

  • TN919.82
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