There are many CCTV cameras today that help companies secure offices, retail shops, manufacturing plants, warehouses, and many other such facilities. However, there is one big problem associated with the traditional CCTV; these devices only record things.
AI video analytics software takes surveillance with cameras to the next level. It applies artificial intelligence (AI) along with computer vision technology to analyze video recordings, recognize certain activities, and notify security personnel when any significant event takes place.
What is AI Video Analytics Software?
AI Video Analytics Software is a technology that involves analysis of video data with the help of AI-based algorithms.
The software not only record videos but also understands certain activities inside the field of view of the camera. The activities may include the presence of humans, cars, motion, crowds, or activities in restricted zones.
The companies can configure the system as per their needs and get an alert whenever a particular event is detected.
How Does AI-Based Video Surveillance Operate?
First of all, there is a video stream recorded with the help of CCTV cameras. The analytics software gets the camera feed and analyzes it with the help of computer vision.
Thereafter, AI analyses the situation on the video and checks whether it corresponds to certain rules which were previously specified. In case of detecting of some suspicious activity which corresponds to one of the defined rules, the system sends an alert.
For instance, a person entered a prohibited area during non-working hours, so this fact can be detected by the software. It allows avoiding watching this particular camera all the time by the security team.
Passive Observation to Proactive Protection
The classic way of surveillance is generally passive and reactive. Something happened, and then the video is watched.
AI-based video surveillance can make it a proactive one. One does not need to wait until an event is seen by a person. On the contrary, the system itself detects certain activities automatically.
It may become very useful when there are many cameras and the security team needs to concentrate its attention on alerts only.
Advantages of AI Video Analytics
Real-time alerts: Detect significant occurrences and alert security staff in real-time.
Low manual observation: Avoid constantly monitoring multiple camera feeds.
Quick reaction: Aid security teams in detecting security incidents quicker.
Improved visibility: Have a better grasp of activities in various parts of the building.
Applications: Utilize video data in a wide range of applications outside of security.
Scalability: Provide monitoring of multiple camera streams.
AI Video Analytics Is Not Only About Security
The primary benefit of AI video analytics is its ability to provide operational insight along with security.
Retail firms may use analytics to track customer movements and traffic. Manufacturers can observe activities around the manufacturing area. Warehouses can detect people and vehicle movement.
This helps in getting extra insights from the existing camera system rather than just using it for incident reporting.
Common Uses
Here are some ways AI video analytics can be used for surveillance and monitoring applications such as:
Intrusion detection: To detect people who come into a protected area.
People counting: Counting people who enter and leave the site.
Crowd detection: Recognizing the increase of the density of people.
Vehicle tracking: Recognizing and detecting vehicles in certain places.
Boundary monitoring: Supporting security team monitoring of boundary and restricted zones.
The actual features available may vary depending on the selected analytics and needs of your organization.
Importance of Smart Video Surveillance
As organizations install many more cameras in their buildings, manual surveillance becomes more complicated. The use of many cameras means gaining visibility, but also an increasing amount of information to process by security teams.
AI video analytics addresses this issue by analyzing the video data and emphasizing the events which are worth attending to.
It is not about replacing CCTV. It is about making CCTV smarter through video intelligence.
Conclusion
CCTV has moved from being a mere video recording system to becoming a live feed intelligence system. The AI video analytics software can be used by businesses to analyze video data, detect critical events and improve the way they manage surveillance.
The advantages associated with AI analytics include faster threat detection and improved operational intelligence.
With ongoing investment in automated surveillance and security, intelligent video analytics can have great value in making CCTV systems more useful.
FAQs
1. What is AI Video Analytics Software?
This is software that makes use of AI technology to analyze the CCTV video data and detect certain objects, activities, movements or events.
2. Can AI video analytics operate with CCTV cameras?
Yes, provided that the infrastructure of the camera is compatible with the analytics software.
3. Is AI video analytics used exclusively for security?
No, AI video analytics can also be used for people counting, movement tracking, vehicle monitoring, crowd detection among other business applications.
4. How can AI video analytics improve surveillance
It allows automatic video analysis and detection of certain events which leads to alerts being sent out to the teams.
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