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 efficient.
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 Analytics
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 cities.
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 real-time.
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 patients.
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.