Authors :
Veeramani Ganesan
Volume/Issue :
Volume 7 - 2022, Issue 1 - January
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3qQKOc3
DOI :
https://doi.org/10.5281/zenodo.5893840
Abstract :
In comparison to its analog forerunners, the
digital IP video surveillance system offers a wealth of
features and capabilities, but it still faces significant
difficulty in building and deploying intelligent and costeffective systems. The current study is mostly focused on
determining the system's uses. This research study
provides a concept and implementation method for
successful cloud-based video surveillance that makes use of
cloud computing features like parallel processing, large
storage spaces, scalability, and motion detection. The
system can be built using Amazon cloud services, RTSP
protocol, and the open-source Motion service SDK to
implement video input processing, real-time picture
analysis, storage, live streaming, and playback processes.
A mobile web application can be used to see the video
stream data and image analysis results remotely. This is a
low-cost, highly portable, and easily extensible system with
increased data security and minimal maintenance
requirements.
Keywords :
Video Surveillance; Motion Detection; IP Camera Cloud Storage; Cloud Camera Systems; IP Camera RTSP Streaming; Mobile Web Apps; Live Streaming
In comparison to its analog forerunners, the
digital IP video surveillance system offers a wealth of
features and capabilities, but it still faces significant
difficulty in building and deploying intelligent and costeffective systems. The current study is mostly focused on
determining the system's uses. This research study
provides a concept and implementation method for
successful cloud-based video surveillance that makes use of
cloud computing features like parallel processing, large
storage spaces, scalability, and motion detection. The
system can be built using Amazon cloud services, RTSP
protocol, and the open-source Motion service SDK to
implement video input processing, real-time picture
analysis, storage, live streaming, and playback processes.
A mobile web application can be used to see the video
stream data and image analysis results remotely. This is a
low-cost, highly portable, and easily extensible system with
increased data security and minimal maintenance
requirements.
Keywords :
Video Surveillance; Motion Detection; IP Camera Cloud Storage; Cloud Camera Systems; IP Camera RTSP Streaming; Mobile Web Apps; Live Streaming
