Artificial Intelligence and its non-stop advancements are undoubtedly revolutionizing various aspects of human life. Its ability to simplify complex problems and enhance efficiency is inspiring businesses worldwide to integrate it into their business system. From fraud detection to customer care service, AI is doing everything that once needed human assistance. 

A report by Statista suggests that advertising, finance, healthcare,
consumer, and aerospace are the leading sectors to adopt AI. 

You might have seen in numerous Hollywood movies where security cameras
perform tasks on human command or inform humans about any unusual or suspicious
activity. Well, this is just a drop in the ocean of what AI can do, known as AI
Video Analytics. AI plays a significant role in video surveillance to avoid any
emergency or risk in private or public places.

What is AI Video Analytics?

Video Analytics is a method to recognize various temporal and spatial events in a video. It is also known as content analysis or Intelligent Video Analysis. 

Imagine a person behaving suspiciously in a public place. There are
possibilities that he could be a threat to human life in that particular area.
This suspicious behavior can be detected by Video Analytic solutions to avoid
such dangerous situations. Disobeyed Traffic signal, face recognition and smoke
or flame detection are only a few things that video analytics can do. 

The incorporation of AI makes the whole process automatic, performed by
machines without human interference. Real-time monitoring and analysis of these
videos will take the entire process to a different level. Real-time monitoring
and analysis will provide real-time results which makes the procedure more

How does Video Analytics work?

Video Analytics software monitors, analyze and manage a massive volume of Video using the mathematical algorithm. The software is synced with Video capturing devices such as CCTV cameras, traffic cameras or other devices. It utilizes the video content on these devices, as inputs, and digitally analyses are based on the pre-defined algorithms.

Then it transforms these inputs into intelligent data which helps in decision making. Videos can be analyzed in real-time or after processing. Real-time analysis detects and provides a dynamic response.

Some of the Industry Application of AI Video

Urban Transportation

If you live in an urban area, you would know how pathetic the traffic is
in such areas. Increased on-road accidents and colossal traffic jam are one of
the significant concerns of big cities worldwide. AI video analytics have
proven to be an excellent solution to monitor and manage traffic in major

Video analytics obtain insights on the traffic and helps to detect and
prevent a dangerous situation in real-time. With the real-time Automatic
license plate recognition, it is crucial in spotting vehicles that have been
stolen or involved in a crime. 

A real-world example of this technology is its adoption by the New York City Department of Transportation. The cameras are AI Video analytic incorporated, which detects traffic jams, parking violation, rash driving and other major traffic events, sending real-time alerts to the officials. 

Video surveillance is a traditional domain of security. When we hear the
word surveillance, the first thing that comes to our mind is CCTV cameras,
installed in various public and private places, monitored by a human from a
surveillance room. But due to the human tendency to make mistakes, there is a
massive possibility of errors that can lead to bitter incidents. 

With the leverage of AI video analytic cameras, it is easy to detect
unusual activities, suspicious behavior, entry to forbidden areas, fire
detection, hence preventing harmful situations. 

Traditionally, many securities were required for crowd management in
places like hospitals, shopping malls, airport and stadiums. However, with
video analytics guidance, it has become comparatively much easier to manage
crowds in such places. It can provide an estimated crowd count, detect
inappropriate movement or unattended baggage and trigger alert in

In 2019, Brondby, a Danish football club introduced facial recognition technology at its stadium. The system was designed to improve safety by identifying banned people from attending the match and enabled the securities to prevent them from entering the stadium.


With the growing demand for healthcare, medical institutions are at the
forefront of investing a considerable amount of money in technology. The
primary purpose is to build efficiency and ensure the safety of their

Video-AI can be trained to distinguish the patient’s movement, recognize
if a patient fall, then alert the staff and direct them to the correct
location. It can also detect if a patient has not been checked as schedule and
inform the staff about it. 

The University of Buffalo developed a smartphone application to detect
Autism Spectrum Disorder (ADS) in children. The application uses the smartphone
camera to track the facial expression and gaze at different social scene
pictures. It monitors the eye movement in children during this process and
accurately detects children with Autism. 

AI-enabled video analytics can quickly determine the behavior of the
customer in a retail store. It can recognize the face of a customer, detect
their walking pattern along with the direction and duration of their gaze on a
particular product. 

It helps a business in the placement of items to maximize sales and
improve customer experience. AI Video Analytics can enable the anti-theft
mechanism in retails. 

A San Francisco based clothing retailer named Marine Layers introduced
AI Video Analytics in their store to gain insights into the customer traffic.

The way Video Analytics is reshaping our daily lives is incredible. From
smart cities to healthcare institutions, AI Video Analytics plays an excellent
role in strengthening the security of various spaces. Its ability to detect and
prevent dangerous situations has made it a pre-requisite in industries that
require high surveillance and security.

This content was originally published here.