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In practice, however, it is a task that is far from simple. In principle, the idea is simple: install cameras strategically to allow human operators to control what happens in a room, area, or public space. One such example is video surveillance, a task that has existed for approximately 50 years. Some applications in the field of video analytics are widely known to the general public.

How many times is a red light run, and what are the specific license plates of the vehicles doing it?.

When is customer presence at its peak in my store and what is their age distribution?.

This forensic analysis task can detect trends and patterns that answer business questions such as: However, video analytics can also be used to analyze historical data to mine insights. Usually, these systems perform real-time monitoring in which objects, object attributes, movement patterns, or behavior related to the monitored environment are detected. Real-time video analytics and video mining A person who moves suspiciously, traffic signs that are not obeyed, the sudden appearance of flames and smoke these are just a few examples of what a video analytics solution can detect. The main goal of video analytics is to automatically recognize temporal and spatial events in videos.

In this guide, you'll discover the basic concept of video analytics, how it's used in the real world to automate processes and gain valuable insights, and what you should consider when implementing intelligent video analytics solutions in your organization. This kind of technology looks great, but how does it work and how can it benefit your business? CCTV surveillance camera detecting vehicles in real-time in order to recognize specific events, such as car accidents, and trigger alerts accordingly.