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Video Surveillance

Published May 7, 2022

Video Surveillance

You are always watched….

And it’s the computer vision..


According to IBM, Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information. If AI enables computers to think, computer vision enables them to see, observe and understand.


Computer vision teaches computers to execute similar tasks, but using cameras, data, and algorithms rather than retinas, optic nerves, and a visual cortex, it must do it in a fraction of the time. Because a system trained to check items or monitor a production asset can assess hundreds of products or processes per minute, detecting faults or issues that are invisible to humans, it can swiftly outperform humans.

But how computer vision works?


It needs to be fed with a lot of data in order to be able to recognize it easily,

For example if I want the computer to recognize a golden shepherd dog, I have to feed it with a lot of different pictures for that dog type until it’s able to recognize it from billions of other photos inserted in the model.


This depends mainly on machine learning specifically deep learning which creates models to compare and save certain data about every photo.


The services that computer vision gives to us helped in video surveillance.


Inside video data for detecting, recognizing, counting, and tracking objects of interest The developed approaches are capable of responding to specific tasks in terms of continuous monitoring and surveillance in a variety of application frameworks, including improved logistics management in storage warehouses, people counting during event gatherings, subway station monitoring, coastal area monitoring, and so on.


The computer vision section uses cutting-edge techniques to model and interpret a video scene's semantic content. These algorithms are able to identify recurring behaviors within video content and spot aberrant events in a specific environment, such as an incident at a road intersection diverging from ordinary, code-compliant traffic patterns, based on a learning phase.


That can be helpful for the police investigations and also alarming events of unusual matters.


To conclude, AI and technology will always seek to privilege the human capabilities in different fields, from doing a simple task in home till solving crimes and keeping an eye on bizarre events, computer vision will make the human eye more analytic than ever before.

Tags: AI

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