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. Wi-Fi operates on shared frequencies, and when multiple devices, including high-resolution cameras, are connected, it can lead to interference and connectivity issues, affecting the stability and reliability of the network.

The higher the accuracy of video analytics, the lower the load on communication channels and cloud storage. Therefore, if the accuracy indicators of video analytics are known, the service provider or consumer can easily calculate the economic benefits of using video analytics. Consider an example. To protect the perimeter of a large company, 300 cameras with a resolution of 1.2 MP are used. Under normal weather conditions, the total video stream is 1.8 Gb / s. Under adverse conditions, that is, when the signal is noisy, for example, at night, the flow increases almost twice to 3.5 Gb / s. The use of a conventional motion detector can reduce the amount of video data by an average of 80%, that is, to 0.7 Gb / s. Unfortunately, the peak load is sometimes many times greater than this range due to the fact that the motion detector responds to global changes in light and weather conditions immediately on all cameras. The use of professional video analytics to detect people on the territory allows reducing the average load to 0.02 Gbit / s, and the peak load to 0.05 Gbit / s. Thus, in comparison with a conventional motion detector, video analytics can reduce the load on the communication channel and cloud storage by more than 40 times.

However, solutions like SmartVision, when paired with Video Surveillance Cloud, address many of these concerns. Firstly, they allow unlimited access to video archives for any number of cameras since archives are stored locally on the users computer. Secondly, video analytics is performed locally using the SmartVision software, eliminating additional costs. Additionally, the system significantly reduces local disk and cloud storage needs through the application of AI technologies and reduced frames per second during periods of no movement.

For instance, traditional systems require approximately 6.5 Tb of disk space to create a continuous archive for just one 1080p IP camera over one year. This demand multiplies with the number of cameras, thereby escalating equipment and cloud storage expenses. SmartVision, with its neural network-based object detection and time-lapse recording, minimizes video archive size by hundreds of times. Cloud recording with SmartVision occurs only upon the occurrence of a specific event, allowing time-lapse recording when no event is detected.

As the network becomes saturated, the latency increases, and packet loss occurs, degrading the quality of video streams. This can lead to missing critical information, decreasing the effectiveness of the surveillance system.