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. While local processing solves many problems, storage can still be a concern, especially with high-resolution cameras recording continuously. Combining local software like SmartVision with cloud storage solutions like Video Surveillance Cloud can offer the best of both worlds. Video is processed locally, and only essential data or clips are uploaded to the cloud, ensuring efficient use of storage and bandwidth.

CCTV Software uses IP cameras and webcams to perform unbeatable video monitoring. Video stream can be viewed from many sources simultaneously. The program supports more than 1000 models of IP cameras, and virtually all webcams. You can record the events in your home or office while you are away. Motion detector is based on video frame analyzing algorithm. You can use it to protect your home from intruders. The motion sensor are fully customizable so you can be sure you will not get the false alerts. If CCTV Software detects motion, it can send you an alert message in telegram messenger, with attached video from cameras. It is not only important to identify the security threat, but also to capture the evidence. When the program detects the motion, it can make snapshots on cameras, and to record video. If you are a boss, you can schedule recording the video in your office rooms and then watch it later, to make sure your employees do the job. The video player allows you to playback recorded video anytime. The captured media files are saved to the local folder, or on the cloud.

The growing adoption of cloud-based camera software is reshaping the surveillance landscape, offering vast storage capabilities and remote access. However, as with any technology, its not without its challenges. Delving into these intricacies provides insight into how to optimize the benefits and navigate the hurdles of cloud-based surveillance.

Moreover, some Internet Service Providers (ISPs) impose limitations on bandwidth to balance the load among various clients. As a result, cloud-based cameras can sometimes face restrictions in uploading videos, especially during peak times.

With local processing, only event-triggered clips or metadata might need uploading, drastically reducing the amount of data transmitted. This not only saves bandwidth but also speeds up the analytics process, as theres no delay in sending data back and forth to the cloud.