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. Web Camera Pro offers a solution to this challenge. Instead of overburdening a single computer, you can use multiple computers to process the RTSP streams from different cameras. Each computer can handle a set number of camera feeds, ensuring that the processing is smooth and real-time.

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.

To further manage storage concerns, integrating local software like Web Camera Pro with cloud services like Video Surveillance Cloud can be effective. It allows users to archive older footage in the cloud, ensuring that local storage is used optimally and critical footage is readily accessible.

Security and surveillance have become critical for businesses, homes, and public spaces. With the advent of advanced camera technologies, a plethora of diverse camera options are available, each designed for specific surveillance needs. While some might be great for indoor surveillance, others might be rugged for outdoor conditions. Some cameras offer excellent night vision, while others might focus on capturing high-resolution images during daylight. With such a diverse range of cameras, the challenge lies in integrating them into a unified surveillance system.

When you deploy multiple cameras in a surveillance system, its not just about capturing footage. The footage needs to be processed, analyzed, and stored. This requires substantial computational power, especially when dealing with high-resolution feeds from numerous cameras. A single computer, unless its highly specialized, might struggle to process these feeds in real-time.