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The proactive or the reactive video analytics both runs on the feed a video camera provides. However, people are drifting towards a more proactive approach, a competitive advantage for early adopters.
With AI and machine learning technologies becoming ubiquitous, intelligent video analytics is another trending technology people are talking about. As the volume of the data rises, it is challenging to deal with the conventional ways. The accuracy and relevance of data of video analytics have drawn many eyes towards this technology.
The recent trend in video analytics is proactive video monitoring that enables alarm handlers to intervene and prevent crime before they occur. The alarming feature makes video analytics even more intelligent.
Let's learn deeply why companies are shifting towards a proactive approach rather than a reactive one.
Before the emergence of big data and the amalgamation of AI algorithms with video analytics, it was an entirely reactive approach.
The reactive data approach worked on a raw data set, with a form of analytical technique to find patterns of threats within data. The reactive approach of video analytics lags between the event and action, which can impact the decision, whether the insights are valuable or not.
Analytical solutions have taken a step further, which involves thousands of metrics and billions of events each day. The reactive approach has become outdated due to is revenue-impactful events that can easily get lost and slower time detection.
Speedy response to a security breach is the need of the hour for companies. Since video surveillance has become a key resource to secure organizations, the reactive approach couldn't match the speed to respond. Hence this time-consuming approach was difficult for viewers to focus and identify threats.
To overcome the obstacle and muddle, investors can adopt Video Synopsis technology to limit the hours spent on video analysis. This means that a single investor can function as many with the ability to watch all events and objects in minutes.
This approach involves monitoring data in real-time and analyzing events to prevent events. Because the conventional way to monitor data was mundane and challenging in real-time, the reactive approach was improved and turned to proactive.
This new improved analytics includes the power of AI and machine learning to monitor and analytics. Both AI and ML technologies have improved the learning ability of systems to easily find correlations between others and detect anomalies in real-time.
If you are following the reactive approach of video analytics investigation, you still have the scope to speed up.
The best security team can provide enterprises is to handle unpleasant events. The proactive approach, as aforementioned, offers real-time alerts to -
These real-time notifications are a part of a video analytics solution that enables security investigator to -
A proactive approach is more effective for communicating threats and suspicious activity to the security teams. Along with it, video analytics solutions offer tools to keep these teams informed to manage investigations more effectively. Moreover, security teams can streamline the operations without a tedious filter.
Other than maintaining a secure property, quick response times, and false alarm reduction, let's draw some light to the additional benefits of switching to a proactive approach to Video Analytics.
Proactive video monitoring results in fewer nuisance security alerts. False and unnecessary call-out costs can be reduced and only send notifications after visual confirmation of potential threat or intrusion.
Upon a raised alarm or intrusion, the security specialists verify the threat visually and deliver personalized audio warnings, which enable the delivery of quick action and intruders felling from the site from preventing loss to your property.
Video monitoring services are best suited to those who look for health and safety risk solutions. A proactive approach of video analytics looks for unauthorized access and alerts the local authorities using an audio deterrent before an intruder can cause critical damage.
The proactive video monitoring solutions are a clear example of capable and dynamic technology. The system with a proactive Video Analytics Solutions can continuously check the equipment and report on the occurrence of any fault.
The need for proactive video monitoring has become essential than ever. It is because of the challenges and obstacles of the traditional or reactive video approach that has motivated the drift. The proactive approach has changed the monitoring ways. The amalgamation of artificial intelligence and machine learning in video analytics has enhanced the service with precise facial recognition, image classification, and more, which helps guards respond to the scene before a criminal can enter.
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