The week's pick
Reseach Article
Camera based Smart Surveillance System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 17 |
| Year of Publication: 2020 |
| Authors: Ishan Kokadwar, Anurag Kukarni, Vaibhav Limbhore, Sayali Khare, Swati Chandurkar |
10.5120/ijca2020920679
|
Ishan Kokadwar, Anurag Kukarni, Vaibhav Limbhore, Sayali Khare, Swati Chandurkar . Camera based Smart Surveillance System. International Journal of Computer Applications. 175, 17 ( Sep 2020), 20-23. DOI=10.5120/ijca2020920679
Abstract
One of the key sectors which is now concern worldwide is security and privacy. Due to the emergence of protecting premises, providing security is one of the most important tasks. Thus, to provide security, the video surveillance system was introduced. But video surveillance system has few drawbacks such as human intervention to observe footage, storage, and expertise to analyze multiple camera system. To overcome it, in their project authors have made a system that automatically tracks each individual under surveillance, maintains logs instead of video recordings, analyzes frames and generates helpful insights. Convolution Neural Network (CNN) based deep learning model is used to build the system.
References
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