Why Businesses Are Moving to AI Video Analytics Software for Smarter Monitoring
Transforming Everyday Video Footage into Useful Business Intelligence
For many years now, businesses have used CCTV cameras to monitor their premises. Although such traditional security systems have been quite efficient, they usually require individuals to keep checking screens or reviewing recorded video when an incident has already occurred.
That is one of the reasons why there has been increased interest in using AI video analysis software in recent times. In addition to recording video, AI allows analysing video streams from cameras, identifying pre-defined events, and alerting teams about them.
Besides, the traditional security system is mostly reactive – after an incident happens, teams may have to search through thousands of hours of video to figure out what happened.
AI analytics makes such monitoring continuous and highlights any events that may require the team's attention.
That is one of the reasons why there has been increased interest in using AI video analysis software in recent times. In addition to recording video, AI allows analysing video streams from cameras, identifying pre-defined events, and alerting teams about them.
Limitations of Traditional Video Monitoring
There may be dozens, or even hundreds, of cameras installed in a company that needs to be monitored. Keeping track of each of them is quite challenging, and incidents might be missed at times.Besides, the traditional security system is mostly reactive – after an incident happens, teams may have to search through thousands of hours of video to figure out what happened.
AI analytics makes such monitoring continuous and highlights any events that may require the team's attention.
AI Video Analytics Software Working Process
AI video analytics software employs technologies like computer vision and machine learning for interpreting video footage. In turn, based on the particular solution and its configuration, it is possible to track the presence of individuals, vehicles, objects, movements, and certain activities.
In this case, the solution will detect if there is any person who has entered the area where he/she shouldn't be, crowded places, missing PPE equipment, vehicle movements around the monitored place and send alerts to the necessary team if required conditions are detected.
In this way, cameras become an active part of the monitoring process.
Reasons for Businesses to Make the Change
The reasons why businesses prefer to use intelligent video monitoring include the following:
Real-time alerts: Teams are notified about predefined events.
Faster response: Security can concentrate only on the incidents requiring immediate action.
Less monitoring needed: No manual observation of all videos is needed.
Operational insights: Video footage provides additional data on movement, occupation, footfall, and other information.
Safety monitoring: AI can help to perform tasks like PPE compliance, intrusion detection, and crowd monitoring.
CCTV use: Existing compatible cameras can be utilised as a video analytics source.
Beyond Security Only
Another significant advantage of using artificial intelligence in video analytics is that such technologies can be applied for purposes other than surveillance.
Retailers will be able to analyze customer footfall and motion; manufacturing companies – safety rules and access to restricted areas; warehouses – unusual behavior; and office buildings – building usage and visitors' movement patterns.
It means that one video infrastructure can serve several purposes, including security, safety, and decision-making.
Making Videos Useful
Cameras produce an impressive amount of visual data every day; however, only analysis of video footage can turn it into useful information.
With the help of video analytics powered by artificial intelligence, companies can transform all this data into meaningful events, alerts, statistics, and trends.
Rather than wasting their time looking for relevant information manually, employees will have the opportunity to make their decisions more quickly.
Historical analytics, in turn, allows them to detect any patterns of behaviour or violations. It can happen that managers will find out about frequently overcrowded spots or moments when security incidents take place.
Intelligent Monitoring for Modern Businesses
AI does not replace security staff and human judgment. On the contrary, it can serve as an extra layer that constantly monitors videos and draws attention to potentially significant incidents.
With businesses controlling increasing numbers of large-scale premises and cameras, this combination can be helpful in managing surveillance systems and make it more efficient.
Conclusion
While traditional CCTV enables businesses to monitor past events, AI-based video analysis software can help companies to detect significant incidents and get valuable insights from video more effectively. The use of AI in business surveillance systems has become broader than ever before.
Are you considering making your existing surveillance system smarter? Reach out to us right now, and we will tell you how our AI-based video analytics can help!
FAQs
1. What Is AI Video Analytics Software?
AI video analytics software is a technology that uses AI and computer vision to analyse the video feed and recognise pre-defined objects, activities, or events.
2. Is It Possible to Implement AI Video Analytics Using Existing CCTV Cameras?
In many cases, integration with existing CCTV cameras is possible, but it may depend on a number of factors such as camera type, video quality, network, etc.
3. In Which Industries Is It Possible to Implement AI Video Analytics?
This technology is applicable in various industries, including retail, manufacturing, warehouses, logistics, commercial buildings, healthcare facilities, and others.
4. Does It Replace Security Personnel?
Not really. This technology usually complements the work of security personnel providing video analysis and alerting on certain events.
5. What Can AI Video Analytics Detect?
Depending on the solution, it can detect intruders, people, vehicles, crowds, violation of wearing PPE equipment, and loitering, among other things.
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