It is a hybrid cloud solution that employs the software's real-time intelligent video analytics on the camera stream source side. The solution comprises a cloud server and a local application that can be installed on a phone, personal computer, or cloud camera. This technology helps significantly decrease the load on channels and cloud disk space. Traditional surveillance systems typically detect pixel changes, leading to false alerts due to varying lighting, changing elevator numbers, and other minor shifts. However, most surveillance needs focus on the movement of specific objects.

Digital Video Recorders vs. Network Video Recorders. All of the cameras in a given system require a central video recorder in order to transmit and archive the footage they are capturing. DVRs evolved from the older VCR models, while NVRs represent the next step in the evolution of video recording technology. Heres a side-by-side look at how DVRs and NVRs compare.

Storing event-triggered clips or crucial data in the cloud isnt just about saving space or bandwidth, its a matter of security. By uploading significant events to a cloud service, users safeguard their data from local hardware failures, theft, or tampering.

The use of h264/265 compression has become a standard to conserve storage. However, this compression increases the processing load on CPUs or GPUs. Even with compression, continuous recording at higher resolutions can consume massive amounts of storage.

When theres no motion, time-lapse recording is a viable option. This mode captures fewer frames per second, allowing for fast-forwarded playback. This not only saves storage space but also extends the depth of the archive.