In the last couple of years, video analytics, otherwise called video content analysis or intelligent video analytics, has gained immense popularity in both industry and the academic world. With the popularization of deep learning, video analytics has allowed for the automation of tasks that were once the exclusive purview of humans.
Recent developments in video analytics have been a game-changer, ranging from applications that monitor traffic jams and alert in real-time, to others that break down customers’ flow in retail to maximize sales.
In any case, how much do you are familiar intelligent video analytics? The vitally ideal behind video analytics is to recognize temporal and spatial events in videos automatically. A person moving suspiciously, traffic signs that aren’t obeyed, these are some of the examples of what an intelligent video analytics can detect.
One notable area in which video analytics is applicable is video surveillance, a task that has been with us for close to 50 years. In principle, the idea is simple; install cameras strategically to allow human operators to control what happens in a room, area, or public space.
In practice, however, an endeavor is far from easy. An operator is responsible for more than one camera and, as several studies have revealed, increasing the number to be monitored significantly affects the operator’s performance.
What we are trying to imply is that regardless of whether a large amount of hardware is available and generating signals, a bottleneck is formed when the time has come to process those signals because of human limitations.
As we conclude, it is worth mentioning that video analytics offers tremendous assistance in the area of transport, helping in the development of smart cities. A surge in traffic, more so in urban areas, can lead to an increase in accidents and traffic dilemmas on the off chance that adequate traffic management measures are not undertaken. Intelligent video analysis solutions can play an important role in this scenario.
Traffic analysis can be leveraged to dynamically change traffic light control system and to monitor traffic jams. Not to mention, it is widely relied upon in detecting dangerous situations in real time, for example, a vehicle stopped in an unauthorized space on the highway, or even vehicles engaged with an accident. At the point when an accident occurs, these systems assist with the collection of evidence in case of litigation. That will unquestionably prove to be useful for drivers and insurers.