Why Businesses Are Integrating AI Video Analytics Software With CCTV

Turning Traditional CCTV Systems Into Smarter Security and Monitoring Tools

The usage of CCTV cameras has long been an integral element of business security. These devices are used to monitor workplaces, retail locations, warehouses, parking areas, and other locations of importance to an organization. Traditional CCTV technology is mostly concerned with video recording. That is why security specialists need to constantly monitor real-time streams or look through the recorded video afterwards to ensure business safety.

With the emergence of AI video analytics software, traditional CCTV cameras can get additional smart features. Thus, businesses will no longer limit themselves to passive surveillance.

Making Existing CCTV Cameras Smarter

Most businesses already use a network of CCTV cameras. Complete replacement of the current surveillance system by a new one for the sake of introducing more intelligent monitoring can be too costly and unnecessary.

Depending on compatibility, AI video analytics software can operate with an existing network of CCTV cameras or IP cameras. The software analyzes video streams and detects specific actions according to predetermined rules.

Identification of Significant Events in Real-Time

Monitoring a number of CCTV screens may not always be easy, especially in big facilities. Sometimes significant events go unnoticed by the security team when they monitor dozens of camera views.

AI-based video analytics software can detect predefined events such as:

• Unauthorized access to restricted areas
• Abnormal activity in the monitored zones
• Crowd creation or crowd gathering
• Movement of people or vehicles
• Compliance of Personal Protective Equipment (PPE) in industrial settings
• Possible presence of fire or smoke

In case of a detected event configuration, the software can trigger an alert for the respective team to investigate the matter.

Faster Reaction to Security Incidents

The usual way of using CCTV videos is reactive. Security teams analyze recorded videos to learn more about an incident.

With the addition of AI analytics software, CCTV systems become proactive. Instead of analyzing the video and noticing something important only after it has been recorded, the system can spot it immediately.

For instance, if there was an unauthorized entry of an employee to the facility after working hours, AI analytics can spot the event based on the preset rules and send an alert.

Decreasing the Need for Constant Manual Surveillance

The security team may suffer from information overload while surveilling several video streams at once. Making a person concentrate equally on all feeds during one shift is quite difficult.

AI video analytics system may be used as a monitoring supplement. It will analyze the selected camera feeds constantly and show the events to the security team.

In such a way, the software does not substitute people in the decision-making process but just allows them to direct their attention to certain events.

More than Security

Another reason for the implementation of video analytics with the help of cameras in business is its ability to provide operational data.

Depending on the industry and purpose, the system can provide companies with information about visitors, traffic, occupancy rate, queue lines, vehicles' movement, and even space usage.

For instance, retailers can use aggregated data about visitors to identify the busy times. The occupancy can be monitored by facilities, whereas vehicles' movement analysis can be conducted in parking areas.

Different Business Environments that Could Be Supported by AI-Powered CCTV Analytics

AI-powered CCTV analytics can be modified according to the needs of various industries and environments.

In retail establishments, traffic and queue sizes can be monitored. In manufacturing plants, safety can be monitored through analytics. Office spaces can be monitored for designated access points, while warehouse environments can be monitored in restricted zones.

The value depends on the types of cameras, analytics, environments, and goals of the businesses.

Monitoring Made More Scalable

As businesses expand, they might increase the number of buildings, entry points, cameras, and other factors. This means that monitoring each additional camera can burden security personnel with manual work.

AI analytics could allow organizations to monitor larger surveillance environments, through automatic analysis of several video streams and generation of relevant alerts from a centralized location.

Enhance the Efficiency of CCTV Systems in Contemporary Businesses

With the help of AI video analytics software, organizations can turn their cameras into smart surveillance equipment capable of spotting certain situations and generating timely notifications and collecting useful information about business processes.

The combination of CCTV and AI analytics can support a more proactive approach to security while helping organizations make better use of their existing surveillance infrastructure.

Conclusion

Today, organizations require more from their surveillance systems than just the ability to record events. The integration of AI video analytics software into existing CCTV systems can enable businesses to spot significant events quickly, reduce monitoring efforts and obtain valuable insights from video feeds.

Get in touch with Nextbraintech now to find out how our AI video analytics software solution can make your existing CCTV system more intelligent.

Common Questions about AI Video Analytics Software (FAQs)

1. What is AI video analytics software?

AI video analytics software makes use of artificial intelligence and computer vision to process video feeds and detect pre-defined objects, behavior, activities, events or patterns.

2. Can AI video analytics software be used with existing CCTV cameras?

Yes, it is possible for some software products to work with suitable existing CCTV and IP cameras.

3. What benefits can AI video analytics bring to CCTV monitoring?

AI video analytics can make it possible to analyze videos without having to watch all cameras all the time.

4. What events can be detected using AI video analytics?

Different events like intrusion, movement of vehicles or people, crowd behavior, queuing, wearing personal protective equipment, and even fires and smoke can be detected depending on the system.

5. Is AI video analytics only suitable for security applications?

No, businesses may also utilize video analytics to perform other tasks including counting people, occupancy, traffic analysis, and more.