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Server Room Monitoring System using CCTV
Mahesh Subray Hegde1, Ramakanth Kumar P2

1Mahesh Subray Hegde, Department of Computer Science and Engineering, R V College of Engineering, Bangalore (Karnataka), India. 
2Dr. Ramakanth Kumar P, Department of Computer Science and Engineering, R V College of Engineering, Bangalore (Karnataka), India.
Manuscript received on 14 July 2022 | Revised Manuscript received on 17 July 2022 | Manuscript Accepted on 15 August 2022 | Manuscript published on 30 August 2022 | PP: 18-22 | Volume-11 Issue-9, August 2022. | Retrieval Number: 100.1/ijitee.G92110811922 | DOI: 10.35940/ijitee.G9211.0811922
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Server Room is the main part when it comes to any organization since any malicious activity in the server room may bring down the whole server room bringing the work of organization to halt. Hence, we need a server room monitoring system which works on real time images and monitors using compressed circuit television (CCTV). The framework used for server room monitoring is YOLO (You Only look Once). YOLO employs Convolutional neural networks (CNN) for image processing. In CNN image must pass through different layers like Convolutional layer, pooling layer, ReLu layer and fully connected layer. 
Keywords: CCTV, YOLO, CNN, ReLu
Scope of the Article: Convolutional Neural Networks