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