In the last couple of years, video analytics, generally called video content analysis or intelligent video analytics, has attracted immense interest from both industry and the scholastic world. With the popularization of deep learning, video analytics has brought about the automation of tasks that were initially exclusive purview of humans.

Recent transformations in video content analytics have been a game-changer, ranging from applications that monitor traffic jams and alert in real-time, to those that analyze customers' flow in retail to maximize sales, alongside other more striking scenarios like smart parking or facial recognition.

In this quick guide, we take you through a few important things to know before using video content analytics to your advantage.

It is important to note that the key behind video analytics is to detect temporal and spatial events in videos automatically. A person who moves around suspiciously, traffic signs that are not obeyed, the sudden appearance of flames and smoke, are just however a portion of the few examples of what a video analytics solution can do.

In many instances, these systems perform real-time monitoring in which objects, object attributes, movement patterns, or even behavior related to the monitored environment are detected. Regardless of all that, video analytics can likewise be relied upon in analyzing historical data to mine insights. This can possibly detect trends and patterns that answer business questions.

Machine learning, and to be precise, the spectacular development of deep learning objective, has immensely transformed video analytics. The use of Deep Natural Networks (DNNSs), has made it possible to train video analysis systems that mimic human behavior, leading to a paradigm shift.

In the new paradigm, models based on deep learning can identify the exact area of an image wherein license plates appear. With this info, OCR is applied exclusively to the exact region in question, leading to reliable results.

All things considered; video content analytics is currently applicable in a wide array of industries. Among the most well-known ones incorporate medical care, transportation, retail, sports, and security, to give some examples. Understanding the different industry applications of video analytics goes far in assisting you with putting it into the best of use cases.

It is essential that you factor in the pros and cons of video analytics before settling on the bold choice to put it into use in your business or organization.