Modern security solutions have significantly changed as a result of video surveillance system powered by AI. Machine Learning Technologies help CCTV cameras offer real-time results.

1. Do you know AI is
Do you know AI is
Making Video
Making Video
Surveillance Systems
Surveillance Systems
Smarter?
Smarter?

2. Artificial Intelligence AI technology has made life easier in
so many ways. It is one of the smartest technologies gaining
acceptance in almost every industry segment worldwide.
And so, video surveillance is not an exception.
The video surveillance system equipped with AI has
changed modern security solutions drastically. Machine
Learning Technology helps CCTV Cameras, offering real-
time results. These security cameras proactively help reduce
the chances of burglary, theft, shoplifting, vandalism,
violence, or other threats to a business, commercial
premises, or even homes.

3. What Are The Different Types Of
Video Surveillance Cameras?
Simple security camera: A passive CCTV security
camera is just for capturing images and storing the
video footage, which can be used to extract
information after any incident
Smart security camera: An active CCTV security
camera immediately raises the alarm when it notices
any unusual or unwanted activity or movement.
Advanced security camera: The latest in the CCTV
segment is an AI-based security camera for video
surveillance which can take proactive decisions as
per the situation.

4. Key components of AI-based
security camera:
Video camera hardware is mounted on the site
Wireless or hardwired internet connection for
continuously sending/storing data
Remote server for receiving storing video data and
analyzing information
Camera software with AI-based technology
Data analytics software in the cloud

5. How Ai Technology-Based Video
Surveillance Cameras Work?
AI-based security camera setup runs the data analytics
program on the video it captures. The analysis is based
on different patterns and developments programmed in
the system as Red Flags for a security breach.
AI technologies, such as face recognition, object
detection, and intrusion identification, are certain
patterns programmed in the AI software for video
surveillance. These are extremely useful in terms of
security.
For example, detection and raising the alarm for
security threats like the movement of any object in a
certain space late at night or entry of any human with a
weapon can avert unpleasant incidents.

6. What Are The Strengths Of Ai Technology-Based
Video Surveillance?

7. Real-time monitoring and threat
detection for enhanced security
AI technology-based video surveillance cameras have
revolutionized surveillance technology, as they can report
anomalies within a second.
It’s unlike a passive CCTV surveillance camera where you have to
manually monitor the cameras for any developments or use video
clips to get clues to detect and solve security concerns.
For places where footfall is huge, manual monitoring is an
impossible task, so there are greater chances of a security breach.
Therefore, airports, malls, college campuses, tourist spots, railway,
and metro stations must be equipped with AI technology-based
video surveillance cameras for a more secure environment and
averting any mishap.
AI technology-based video surveillance cameras are known for
their real-time monitoring and action. Even a small suspicious
movement or development gets easily noticed by an AI technology-
based video surveillance camera that immediately raises the alarm
or sends signals for proactive action.

8. Effective intrusion detection through the capability to
differentiate between animals and humans
Installing an efficient security system is a rule of thumb for any building establishment.
Real-time detection helps in faster response and action to safeguard things and
individuals.The motion detection cameras can raise the alarm when anything moves, be
it animal, vehicle, or even shadow. So the chances of false alarms are very high. They
are non-intelligent cameras. In comparison, AI technology-based video surveillance
cameras are truly a smart option. It can be programmed to differentiate between
animals and humans.With AI technology-based video surveillance cameras, you can
even plan the next level of security measures. For example, for abnormal movements
detected in the no-entry zone of banks, government buildings, or hospitals, the AI
technology-based video surveillance cameras can be configured to lock the doors of
certain high-risk areas or vaults of bank

9. Intelligent metal detection for preventing the
smuggling of any weapon
The long-used metal detectors and security scans are not 100 percent
efficient. Even computer vision algorithms fail at times.
The traditional systems can only identify only those weapons and threats,
which are fed into the system. In contrast, AI technology-based video
surveillance cameras can detect harmful objects more precisely, even if
hidden in layers.

10. Safeguarding against shoplifting for preventing
losses
In big shopping malls and retail outlets, passive cameras are not that
efficient to check theft and shoplifting. So, you need technologically
advanced security systems to curb this menace.
There are certain AI video analytics solutions specially designed to
safeguard retailers from theft or property loss. This preventive mechanism
can detect suspicious behaviors and raise alarms.

11. Quicker data extraction in case of emergencies
After any major outbreak of violence or terrorist activity, it is almost
impossible for investigating officers to analyze video footage of hundreds of
cameras installed in a particular area. So the data extraction is a
humongous task for the whole team.
AI technology-based video surveillance cameras can help quicker data
extraction making the investigation process easier and smoother.

12. Face recognition for tracing
individuals for different purposes
The authorities now use face recognition to find or track
individuals for various purposes. This feature of AI
technology infused in video surveillance cameras has
emerged as a less interfering and most adaptable form of
biometric verification.
Face recognition feature, a category of biometric software,
helps map an individual’s facial features. It stores the face
print as data. The software compares a live captured image
with the stored face print data to verify an individual’s identity
through deep learning algorithms.
These were some of the strengths of AI technology-based
video surveillance cameras that are making our day-to-day
lives easier and better.

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