22/03/2024
AI video analytics has gained immense popularity due to a large number of real-world use cases ranging from identifying different objects and detecting anomalous behavior patterns to face recognition and traffic flow management. Over the past couple of years, this technology has advanced significantly, now offering customers greater functionality, impressive accuracy and lower prices. This explains its wide acceptance and apparent massive growth. According to a recent projection, the AI video analytics market is set to grow into a $22 billion industry by 2027.
By and large, we can see a tendency to modernize security infrastructure through the integration of AI video analytics into existing video surveillance systems. What are the reasons? In this blog article, we’ll discuss the actual advantages of using AI technologies from a security perspective.
Increased efficiency of security operators
The main function of video surveillance is to observe public places or the perimeter of secure facilities in order to protect them from theft, intrusion, fire, and any other possible danger. Security cameras with integrated video surveillance systems are installed in all important locations of the site so that security operators could constantly monitor all the areas looking for specific behaviors that may indicate an emergency or a potentially dangerous situation that needs intervention. No matter how good the cameras and VMS are, the weakest link in the security system is the human operators. The problem is that people can’t keep an eye on multiple screens all the time without losing concentration, which eventually can lead to missing critical events. On top of that, people are prone to fatigue, which inevitably results in a decline in productivity and response time and increases the possibility of human error.
Integrating advanced AI-powered solutions into video surveillance systems allows security staff to keep watch over the entire premises 24/7 and have better situational awareness without having to be glued to monitors all the time. AI automatically detects threats, filters out false alarms and notifies operators of real dangers so that they can take proper action. AI-powered threat detection solutions work equally well day and night, detect objects at a large distance, process a large amount of video feeds in a fraction of a second and implement advanced analytics in real time. Thus, due to advanced analytics integrated into video surveillance systems, security officers get better, faster and more accurate real-time data and can make a more informed decision on further actions.
Video surveillance has long been criticized as a reactive technology that is only useful for forensic review after an incident has already occurred and is deemed unsuitable for real-time threat detection. Back in the days, security teams had to rely on external security cues and plan further measures accordingly. This involved manually monitoring cameras after being informed of a potential attack, which in most cases was futile.
Contemporary video surveillance makes use of AI video analytics and is capable of detecting and reporting anomalies within a fraction of a second, thus making it a proactive security system. This is important for public places with heavy footfall and large campuses, such as airports, retail outlets and tourist hotspots. These places have hundreds of cameras, so non-AI video surveillance would be impractical.
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