Data analysis

What is the role of AI in analyzing video data?

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The exponential growth of advanced video surveillance technologies, along with the immeasurable amount of information the field produces, poses a challenge: how do you keep pace without getting overwhelmed? System developers, researchers, and researchers are all asking this question. Security technology today is aided by another technology that has exploded in recent years: artificial intelligence.

We are witnessing the growing integration of cloud-based data analytics into video surveillance technologies. Using artificial intelligence, these technologies can communicate between different variable data repositories, and they can analyze and plan response strategies in real time.

We can use artificial intelligence to provide the “brain” to our advanced technological systems, which can understand and analyze data from a wide range of sensors in large quantities with greater precision than humans. The use of artificial intelligence in video analytics can help count, identify, and locate anomalous activity in video to motivate various security applications, and even help fight crime.

Can all this data be quickly turned into knowledge, and how can this be done? The new Airship AI product seeks to answer this question. After examining various security challenges among data analysts, the use of artificial intelligence software has been found to be effective in processing and analyzing video data.

Artificial intelligence analysis is provided by the video processing module, according to securityinfowatch.com. As innovative technologies develop and IoT devices are connected to the Internet, this trend is expected to continue. After collecting the data, the next step is to analyze it. This is necessary because almost all organizations hold a large volume of dark data (about 80% of all data) that is stored remotely, which presents significant organizational and placement challenges, and is a challenge in yourself before the assessment. This type of tool allows for the analysis of the same dark data and its real-time integration into the data analysis system – so that information from many different sources and at a very large scale can be analyzed using an artificial intelligence engine, which can identify patterns and extract intelligence from them.