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. One way to address these challenges is by shifting video analytics from the cloud to the camera itself or a local computer. Desktop software like Web Camera Pro can process video feeds locally, reducing the need for powerful server infrastructure and minimizing the bandwidth used for uploading.

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 Motion Detection App is another technological marvel. It lets users record videos through a motion detector. Upon detecting motion, this app offers automatic video saving, be it on your mobile device or a cloud server. The customization is commendable, users can tweak the sensitivity for basic detection or rely on neural network-based detection for pinpoint object recognition. As highlighted, The app logs event information when an object is detected, and you can upload both the event and video file to a cloud server.

Cloud video analytics, although powerful, comes at a price. The process demands substantial server power, translating to higher costs for end-users. As video analytics becomes more advanced, analyzing high-resolution video feeds in real-time, the computational demands increase, pushing the costs even higher.

Considering a high-resolution cloud camera, the monthly data consumption can be immense. For instance, a camera streaming at 1080p resolution, 30fps, 24/7, can consume upwards of 300GB in a month, not accounting for other factors like bitrate and compression.