Can AI Prevent the Next RG Kar Tragedy?
The Business Guardian|September 03, 2024
The barbaric act of brutally raping and killing a doctor in RG Kar Medical College in Kolkata the other day has remained a shock to the nation and even the whole world.
TUSHAR V SHARMA

This heart wrenching event raises. an old and uncomfortable question: Hum apni suraksha ke liye kis par bharosa karein? And as we recall this tragic event, one has to wonder why we stay with conventional security measures and systems when we can have AI which may contain these act in time. Thus the need for AI and modern securities system has never been more urgent, we have the tools to ensure that tragedies like this one never happen again. So, why aren't we using them?

To understand how the use of AI can avoid such occurrence like the one that was experienced at RG Kar Medical College, it is necessary to look into details the working of an AI security system. These systems employ sophisticated algorithms that enable it work on a large amount of data obtained from video feeds, motion detectors, and other sensors in real time. Unlike human guards who might miss something or be in the wrong place at the wrong time, AI systems can monitor multiple areas simultaneously without getting tired or distracted.

In case of when AI detects something queer for instance someone has breached a restricted area or is acting in an abnormal manner the AI alerts security whose next course of action is to act. This response is very important is in order to avoid the situation get worst in affecting many lives. And also, one can state that, as the AI system can get acquainted with similar situations, it will enhance its performance in terms of threat identification. This means that the longer the system is in place the more it evolves and develops into a recognized system that can detect certain impending evils.

The development of AI systems shall follow the same fundamental approach as the experienced detective becomes more efficient in solving cases with every single case because AI learns from data and feedback mechanisms.

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