Video Motion Detection

As a rule, a universal encoder and video analytics are used together, which allows you to take advantage of each individually. Obviously, to reduce the load on communication channels, video analytics should work on the subscriber side. In addition, some types of video analytics, such as face recognition, require video analysis of an uncompressed stream to achieve maximum accuracy. For these reasons, the cloud infrastructure cannot be used economically for primary video processing without any equipment on the subscriber side.

Edge detection is a technique used to identify the outside edge of an object or landscape to better identify what is in the image. Pattern detection is a process of recognizing repeated shapes, colors and other visual indicators in images. Image classification groups images into different categories. Feature matching is a type of pattern detection that matches similarities in images to help classify them. Simple applications of computer vision may only use one of these techniques, but more advanced uses, like computer vision for self-driving cars, rely on multiple techniques to accomplish their goal.

Android Video Surveillance App: A mobile application specifically for Android devices that allows for remote video surveillance.

But the advantages of cloud-based solutions dont stop at storage. By uploading events to a cloud service like Video Surveillance Cloud, users not only ensure the safety and backup of their data but also allow for real-time monitoring and immediate response capabilities. This transforms the system from mere event documentation to proactive security management.
In the ever-evolving realm of security and surveillance, leveraging available resources like old smartphones, coupled with advanced apps and cloud services, can lead to a robust, cost-effective, and efficient surveillance system. Uploading events to cloud services not only ensures data safety but also paves the way for timely reactions, ultimately reinforcing overall security. In a world where safety is paramount, such DIY and cloud-based solutions provide both peace of mind and a safeguard against potential threats.

For security personnel monitoring numerous surveillance cameras, attention fatigue is a significant concern. Research suggests that human attention starts to wane after as little as 20 minutes of continuous monitoring. With each additional camera feed added to a screen, the cognitive load on the observer increases. After about 8 hours of uninterrupted observation, a persons ability to detect and respond to unusual events drops dramatically.