Traditional cloud-based surveillance systems continuously process and record video streams directly in the cloud. This approach presents several challenges, including potential data loss during poor internet connectivity, bandwidth limitations set by internet service providers, frequent false alarms, and the associated costs when scaled per camera. Additionally, to maintain a continuous archive for just one 1080p IP camera over a year, one would need about 6.5TB of storage. When multiplied by the number of cameras in a system, the hardware and cloud storage costs can escalate rapidly.
SmartVision, when combined with VideoSurveillance.Cloud, offers solutions to these challenges. First, by saving archives locally on the user's computer, it ensures uninterrupted access to video archives for any number of cameras without the constraints of internet connectivity. Second, video analytics are conducted locally using Smart Vision, eliminating the need for additional payments associated with cloud-based analytics. This not only makes the system more cost-effective but also reduces the frequency of false alarms. Furthermore, the software's use of artificial intelligence for object detection and its timelapse recording feature drastically reduce the size of video archives, offering storage savings of hundreds of times compared to traditional systems.
Another distinctive advantage of SmartVision is its event-driven cloud recording. Instead of constantly uploading footage, videos are sent to the cloud only when specific events are detected. In the absence of such events, the software can continue recording in a timelapse mode, ensuring efficient use of storage space. However, it's worth noting that due to the overwhelming demand, the number of available slots for connecting Smart Vision to the cloud service is limited. Interested users are advised to reach out to the support section to be added to a waiting list.