ISSN 2394-5125
 

Research Article 


VIDEO SURVEILLANCE USING DEEP LEARNING

Joseph George, Sreelakshmi Ramchandran, Nezmi K A, Shreya Nair.

Abstract
A large amount of digital data from social media, research, agriculture, medical records and
other IoT related applications are consumed in research and industry for big data applications. Video footage
from surveillance cameras also add to the example of big data. Surveillance videos contribute to unstructured
big data. In the places which are prone to many crimes and attacks, security is assured by implanting CCTV
cameras. Cameras and recording devices are relatively expensive and require human intervention to monitor
the camera footage. Along with it, there is a large amount of data generated which requires vast storage. All
this, demands more manpower and increased cost. In an era where we have smart gadgets, it is time to get our
surveillance cameras smart as well. To do so we empower our surveillance cameras with deep learning
algorithms. Our goal is to focus on automatic identification of unauthorized entries in an area by alerting the
authorities. The paper discusses different deep learning methods that are used for surveillance. Our model is
based on the deep learning technique in which the live video stream is taken from an IP camera. From that
video footage, the faces of authorized and unauthorized one are recognized automatically which gives an
accuracy of 99.93%. If any unknown person were found in a frame, a message notification along with the
personís image is sent to the registered mobile number of the officials. Hence this method reduces manpower
and saves a lot of time. This implementation has a wide range of applications which includes personnel
identification, bank security, company security, shop security etc. Also, it helps with instant crime detection
which helps the community to identify the culprit easily. Finally, we suggest some directions as part of future
work.

Key words: Big data, Video surveillance, Deep learning


 
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How to Cite this Article
Pubmed Style

Joseph George, Sreelakshmi Ramchandran, Nezmi K A, Shreya Nair. VIDEO SURVEILLANCE USING DEEP LEARNING. JCR. 2020; 7(9): 2949-2956. doi:10.31838/jcr.07.09.459


Web Style

Joseph George, Sreelakshmi Ramchandran, Nezmi K A, Shreya Nair. VIDEO SURVEILLANCE USING DEEP LEARNING. http://www.jcreview.com/?mno=130057 [Access: May 30, 2021]. doi:10.31838/jcr.07.09.459


AMA (American Medical Association) Style

Joseph George, Sreelakshmi Ramchandran, Nezmi K A, Shreya Nair. VIDEO SURVEILLANCE USING DEEP LEARNING. JCR. 2020; 7(9): 2949-2956. doi:10.31838/jcr.07.09.459



Vancouver/ICMJE Style

Joseph George, Sreelakshmi Ramchandran, Nezmi K A, Shreya Nair. VIDEO SURVEILLANCE USING DEEP LEARNING. JCR. (2020), [cited May 30, 2021]; 7(9): 2949-2956. doi:10.31838/jcr.07.09.459



Harvard Style

Joseph George, Sreelakshmi Ramchandran, Nezmi K A, Shreya Nair (2020) VIDEO SURVEILLANCE USING DEEP LEARNING. JCR, 7 (9), 2949-2956. doi:10.31838/jcr.07.09.459



Turabian Style

Joseph George, Sreelakshmi Ramchandran, Nezmi K A, Shreya Nair. 2020. VIDEO SURVEILLANCE USING DEEP LEARNING. Journal of Critical Reviews, 7 (9), 2949-2956. doi:10.31838/jcr.07.09.459



Chicago Style

Joseph George, Sreelakshmi Ramchandran, Nezmi K A, Shreya Nair. "VIDEO SURVEILLANCE USING DEEP LEARNING." Journal of Critical Reviews 7 (2020), 2949-2956. doi:10.31838/jcr.07.09.459



MLA (The Modern Language Association) Style

Joseph George, Sreelakshmi Ramchandran, Nezmi K A, Shreya Nair. "VIDEO SURVEILLANCE USING DEEP LEARNING." Journal of Critical Reviews 7.9 (2020), 2949-2956. Print. doi:10.31838/jcr.07.09.459



APA (American Psychological Association) Style

Joseph George, Sreelakshmi Ramchandran, Nezmi K A, Shreya Nair (2020) VIDEO SURVEILLANCE USING DEEP LEARNING. Journal of Critical Reviews, 7 (9), 2949-2956. doi:10.31838/jcr.07.09.459