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Introduction The Role of Video Surveillance
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Introduction
The Role of Video Surveillance
Video surveillance refers to the process of using video cameras to monitor a situation, scene, or event. A video surveillance system is made out of different components which include security cameras, monitors or display screens, and sensors.
Video surveillance has quickly become an integral part of business operations, owing to the fact that it allows personnel and planners to keep track of events as they unfold. Modern technology has made it possible for this to occur in real time, thereby ensuring the response times are reduced.
This is where AI comes in: you might be thinking about the functions of AI in the domain of video surveillance, and how it can be used to leverage what we already have. Look no further - for in this article, we take a closer look at AI’s importance in video surveillance, benefits and impact, and how it has evolved over the years.
How has Video Surveillance evolved?
Previously, video surveillance systems were subject to physical restrictions - often meaning that the system had to be set up and monitored on-site. This has been changed by Video Surveillance as a Service (VSaaS), which is a cloud-based system that enables security operators to remotely monitor multiple premises using cameras which send video to a central cloud storage over the internet.
Understanding AI in Video Surveillance
What is AI in video surveillance?
AI’s use in video surveillance focuses on specific software programs that can be loaded onto devices. These programs are then used to analyze image, audio, and video to identify and detect people, vehicles, objects, specially configured behavior, etc.
The widespread adoption of AI signifies a public shift in consciousness (Source: Statista)
The core basis of AI comes from computer vision. Computer vision describes an algorithmic process wherein a given object is compared to thousands of reference images, as part of a flowchart-like process. AI is tasked with deciphering if the given object has any points of commonality with the reference images - height, color, shape, etc.
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