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.
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Acknowledgements
We would like to thank the anonymous reviewers for their comments in improving the paper, and also, we extend our gratitude to VIT University, Chennai, for their support.
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Pasupuleti, S.B., Ramachandran, P. (2018). Vision Intelligence System for Power Management Using Human Activity Detection System. In: Thalmann, D., Subhashini, N., Mohanaprasad, K., Murugan, M. (eds) Intelligent Embedded Systems. Lecture Notes in Electrical Engineering, vol 492. Springer, Singapore. https://doi.org/10.1007/978-981-10-8575-8_23
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DOI: https://doi.org/10.1007/978-981-10-8575-8_23
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