Articles

How AI in Security and Surveillance is Used: Use Cases

by Matthew Mcmullen Manager
security cameraArtificial Intelligence is providing the advance monitoring and surveillance system to make our surroundings secured and safe for the people. AI cameras are equipped with advance object detection and face recognition system to keep an eye on every activity happening around us. 

AI in security and surveillance is playing a significant role in making our environment accessible for safe working and living in our societies. So let’s find out how AI in Security Camera Surveillance System is used into various fields with some use cases and examples in our real life.

Detecting the People and Crowd

AI cameras can detect the level of crowd at a particular places to inform the relevant authorities about the same. In current COVID situation, gathering of the large number of people at one place is not safe for all of them. AI cameras are equipped with advance human detection system to detect people and also recognize their faces to maintain the database of different type of people in a country.

Thermal Night Vision Cameras

Illegal activities at the nights occurs more compare to day time. But thanks to AI cameras equipped with thermal night vision, these cameras can detect objects and unusual activities at the nights. To make these cameras capable to detect such actions, huge amount of machine learning training data is used to train the AI model build for the security surveillance system.

Vehicle Traffic Movement Detection

Nowadays AI security cameras are installed at traffic signals to keep tracking the movement of traffic at cities and busy town areas. It also helps traffic control room to take legal actions against the people violating the traffic rules. It is helping the traffic department to keep control on the smooth movement of traffic across the city making easier for the people drive without traffic congestion.

Face Detection and Recognition

The most interesting feature of AI security camera is detecting and recognizing the face of the people. It People living at societies can be recognized or working at the offices are identified with the face recognition system. Landmark annotation is used to make the face recognizable to AI security cameras, and with face recognition system it is easier to provide the safe living and working environment.

Unusual Activities & Theft Detection

AI security cameras equipped with motion detection technology can detect the objects when comes into motion. Any kind of unusual activity like theft or robbery can be noticed with alert notification sent to security departments for quick action against the culprits. Image annotation services is helping for objects detection making our surroundings recognizable to machine learning based AI cameras.

Point of Interest for Human Monitoring

AI security cameras can be also used to monitor the specific tasks like monitoring the people at particular place. It can identify the face and human actions with quick notification to the required system making easier security surveillance system take timely actions. Bounding box, and other popular image annotation techniques are used to annotate such actions and make the activity recognizable to machine. And huge amount of such training data is used to feed into AI security cameras.

Sponsor Ads


About Matthew Mcmullen Innovator   Manager

22 connections, 1 recommendations, 91 honor points.
Joined APSense since, January 29th, 2018, From New York, United States.

Created on May 4th 2021 03:20. Viewed 322 times.

Comments

No comment, be the first to comment.
Please sign in before you comment.