Venturing Cloud Surveillance in Concur to Deep Learning with Artificial Intelligence

The whole world has most certainly seen a great rise in the development of an array of technologies such as Artificial Intelligence, Deep Learning and Cloud Surveillance. As a matter of fact, a great deal of AI based devices have been setup and implemented in order to revolutionalize our world. Smar...

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Bibliographic Details
Published in:International research journal of innovations in engineering and technology 2021-12, Vol.5 (12), p.54
Main Authors: Rathod, Pankaj D, Shah, Vanshita C, Dodia, Chintan J
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Autonomous cars
Cloud computing
Computer vision
Deep learning
Intellect
Machine learning
Smart buildings
Surveillance
Online Access:Get full text
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Summary:The whole world has most certainly seen a great rise in the development of an array of technologies such as Artificial Intelligence, Deep Learning and Cloud Surveillance. As a matter of fact, a great deal of AI based devices have been setup and implemented in order to revolutionalize our world. Smart homes, self-driving cars are some of the exceptional examples of such devices. Cundong Tang et al amazingly cited in [1] that the majority of artificial intelligence technologies are computer-based. It investigates the process of translating human intellect into artificial intelligence using electronic technologies. Its entire design demonstrates intelligence and its ability to do tasks that only human intellect can. In this paper, a comprehensive review of development of future applications of Deep Learning Algorithms with the help of Artificial Intelligence is presented in a clear and concise manner. Likewise, we have presented a detail oriented review of the applications of Cloud Surveillance aided with Artificial Intelligence and Deep Learning Algorithms in various modern day systems. In the same way, Computer Vision (CV) aided Cloud Surveillance models and frameworks of several other researchers and its working has been explained in an all-inclusive manner.
ISSN:2581-3048
DOI:10.47001/IRJIET/2021.512011