Video analytics has significantly altered the landscape of surveillance systems. The advent of neural networks has revolutionized the field, making such systems increasingly accessible to the average user. Video analytics can be employed for a variety of purposes, including home security systems designed to monitor houses, apartments, vehicles in garages, yard areas, and elevator lobbies. This technology allows users to keep an eye on their homes, babysitters, parking areas, and more with enhanced precision and reliability.
The integration of video analytics software with surveillance systems has provided a robust solution for residential security. The local processing of video analytics through software like SmartVision has made this technology more accessible and user-friendly. As these systems continue to evolve, they offer increased peace of mind to users, ensuring the safety and security of their homes, families, and possessions. Whether its monitoring a parked car, keeping an eye on the babysitter, or securing the home perimeter, video analytics software stands as a pivotal development in modern residential surveillance technology.
To illustrate, conventional systems require approximately 6.5 Tb of disk space to create a continuous archive for one 1080p IP camera over a year. Multiply this value by the number of cameras to understand the costs associated with equipment and cloud storage. SmartVision , leveraging object detection based on neural networks and time-lapse recording, can reduce the video archive size by hundreds of times.
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.