In daily life, we encounter cameras everywhere: in stores, soccer stadiums, public buildings, in squares or simply at our own front door. And that number is growing every day. Sifting through countless hours of video footage to see if there is anything of value on it is tedious and time-consuming. Yet it is necessary, because this video footage has useful information, when it comes to improving security. Can’t that be made easier.
Fortunately, the answer to that is a clearYES! Because developments in IT and AI (Artificial Intelligence), aka artificial intelligence, have not stood still. Those developments have eventually led to various solutions to automatically monitor video images and take action on those images when needed. We call this with a fancy term Real-Time Video Analytics. In this blog, we like to delve a little deeper into this technology and tell you about its benefits.
Video analytics is the process of using algorithms to automatically recognize spatial or temporal events in video data or on video images. Video analysis software distinguishes between different objects and recognizes certain activities or behaviors that trigger a user response or notification. The software is able to convert images into usable data to which meaning can be given. For example: someone is climbing over the fence, notify security!
The main purpose of video analysis is to quickly alert security personnel or the user of this software when unauthorized or unwanted activities are taking place. These activities are captured by (security) camera at that time and analyzed by the software. Collecting and analyzing footage, as mentioned, can provide a lot of valuable information on how to improve business processes or security protocols.
Now that the concept of Real-Time Video Analytics is clear, it is time to look at what benefits its application brings to the user. Basically, the most important feature is that Real-Time Video Analytics detects events as they happen. And that very feature provides the user of the software with the benefits below.
Advanced network camera video analysis software can analyze video streams to the finest detail. That’s more precise than the human eye can perceive. Because where the human eye primarily perceives on the whole, the software literally examines every pixel on the image. Moreover, AI-based video analytics can detect and then classify objects in scene. This can be crucial in identifying security threats and suspicious behavior.
Video analytics performs several important tasks. Motion detection is one of them, which can be set to different sensitivity levels. In addition, object identification is also available in different versions of detection. In doing so, the software distinguishes one object from another to determine what action to take: to raise the alarm or not?
Do alarms need to be activated? The software can be set up to send alerts or notifications automatically. The correct control room or persons are then directed to deal with the threat. In addition, via a REST API, other components in the security network can also be triggered to take action. For eaxmple: the fire protection system, access control systems or lighting.
With a traditional recording system, images are viewed only after an incident has occurred. With an automated real-time system, this is not the case. Images are constantly monitored, with the AI application behind the system always at work. As a result, no significant incident is ever missed. Something nearly impossible for security personnel to do. With this proactive way of securing, you prevent worse.
And now you may be thinking, “”Such a system for real-time video analysis must be complex and difficult to install..“” But the opposite is true. Such a system is easy to install in most cases, often requiring only that the (existing) cameras be connected to the platform. After that, it is a matter of setup: what should happen when a certain situation occurs?
And of course, nothing in this world is free. Video analysis software costs money, but the Return on Investment in this case is many times higher. After all, image analysis and detection happen fully automatically, with no manpower required for such work. In addition, the deployment of security and care personnel, for example, will be many times more efficient and focused, because the number of erroneous or unwanted reports will be drastically reduced.
De voordelen van real-time videoanalyse zijn dus enorm en inzet ervan kan de beveiliging van je bedrijf of organisatie ontzettend versterken. Met onder andere objectherkenning, bewegingsdetectie en andere functies, ben je te alle tijden op de hoogte wat er precies speelt in de nabije omgeving. Bovendien helpen de automatisch gegenereerde waarschuwingen en meldingen sneller te reageren op incidenten.
Real-time video analytics can be deployed on a very broad scale, which can make it very interesting for many companies and organizations. Wondering what Real-Time Video Analytics can do for your business? Please, reach out to us.
At VAIBS we help organizations extract valuable information from video footage and turn it into visual, usable data. We do this with Video AI through our product Vaidio: the video AI Analytics platform to which tens of thousands of cameras worldwide are connected every day to detect objects, people, anomalies and patterns. And it does so with unprecedented speed and accuracy.
The Vaidio platform is very intuitive, user-friendly and works with practically any IP video camera and existing VMS systems. This, of course, fully complies with privacy legislations.
