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Vision Intelligence System for Power Management Using Human Activity Detection System
Pasupuleti S.B,
Published in Springer Singapore
2018
Volume: 492
   
Pages: 225 - 240
Abstract
Nowadays, scarcity of power has been increased at much higher rate due to improper power management. In this paper, the concept of power management is demonstrated with a Webcam and OpenCV tool. OpenCV is used for the implementation of face-detection algorithm. The system is a real-time embedded system product, which is employed with a camera fixed in a room, which detects the faces of the people present in the room using OpenCV software which is a computer vision tool; as soon as the faces of human are detected in the room, the system takes the necessary steps and accordingly controls (turn ON/OFF) the AC/DC loads (like fan and lights) of the room. Thus, in this way, the utilization of the power can be maintained in an efficient way. © Springer Nature Singapore Pte Ltd. 2018.
About the journal
JournalData powered by TypesetLecture Notes in Electrical Engineering Intelligent Embedded Systems
PublisherData powered by TypesetSpringer Singapore
ISSN1876-1100
Open Access0