Smart Camera Network Supervision for Competent Exploitation of Energy Recourses in vision Task

Authors

  • Gudapati Ramyasri PG Scholar, School of Electronics, Vignan University, Guntur
  • Sharma .S Assistant Professor, School of Electronics, Vignan University, Guntur

DOI:

https://doi.org/10.34306/csit.v6i1.418

Keywords:

Computer Vision Task, Viola Jones, Rectangular Features, Multi-Tasking, Face Detection

Abstract

Face Detection by Smart Camera Network in static mode and dynamic mode is done by the allocation of multitasking. This might result in the absence of some of the pedestrians and consumption of more energy for single target. This paper mainly presents most widely used energy optimization technique in dynamic mode. Tasks are scheduled on periodic basis, with inadequate time period for target switching and task switching. Face Detection in vision task is done by rectangular features of Haar and AdaBoost in Viola Jones Algorithm. Energy utility factor is allocated on Largest Task first algorithm basis. Task is allocated to the camera with uppermost amount of utility rate that can detect the face more approximately. Energy Consumption is optimized by the distributive market based bidding process and Adaptive strategy selection. This boosts existence of camera and drop in the power consumption with restricted amount of Camera’s.

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Published

2021-04-01

How to Cite

Ramyasri, G., & .S, S. (2021). Smart Camera Network Supervision for Competent Exploitation of Energy Recourses in vision Task. APTIKOM Journal on Computer Science and Information Technologies, 6(1), 67-74. https://doi.org/10.34306/csit.v6i1.418

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