Nonetheless, conventional CCTV setups face numerous obstacles, complicating the task of security teams in identifying and addressing potential threats.
Traditional video surveillance systems require infrastructures including expensive servers with capabilities to process images and store video recordings. These surveillance systems produce and need to store a huge amount of data and to execute on them specific image analysis in real-time in order to detect safety events. We propose a video surveillance system based on P2P that collects multimedia streams generated by surveillance cameras, optimizes their transmissions with Scalable Video Coding (SVC) according to network condition and stores them in a cloud storage system in an efficient and secure way.
Definition of CCTV Systems:
Closed-circuit television (CCTV) systems refer to a network of cameras and recording equipment used for surveillance purposes. Unlike broadcast television, the signal in a CCTV system is not openly transmitted but is instead monitored, typically for security and surveillance purposes. These systems are prevalent in various settings, capturing and recording footage that can be reviewed or monitored in real-time to enhance security, deter crime, and assist in investigations.