Only 0.28% of Telangana’s 16 Lakh Daily Emergency Calls Are Genuine — Police Integrate AI for Enhanced Response
Every day, Telangana’s Emergency Response Support System (ERSS) receives nearly 1.6 million calls, creating an atmosphere of constant urgency within command centers. However, a recent structural audit has revealed a significant disparity between the volume of calls and the actual emergencies that require immediate attention.
The audit indicates that only 0.28% of these calls—approximately 4,500—are genuine emergencies necessitating police action or field dispatch. The remaining calls represent a vast array of non-urgent inquiries and operational noise that operators must sift through, risking the possibility of overlooking critical distress signals.
In response to this challenge, Telangana Police are preparing to implement advanced artificial intelligence (AI) tools within the ERSS framework. This technological shift aims to filter out the noise in real-time, ensuring that genuine emergencies receive prompt assistance.
Two Numbers, Two Very Different Realities
The audit highlights a stark operational divide between Telangana’s two primary emergency channels: Dial 112 and Dial 100. Dial 112, the unified national helpline, handles a significant volume of calls, ranging from 1.4 to 1.6 million daily. However, after processing through automated Interactive Voice Response systems, only 500 to 600 calls—about 0.04%—are classified as time-sensitive emergencies requiring immediate intervention.
In contrast, Dial 100, the traditional police helpline, processes between 20,000 and 50,000 calls each day. Approximately 4,000 of these calls, or around 20%, lead to formal police complaints or field deployments. This higher conversion rate suggests that individuals calling Dial 100 are more likely to be reporting specific, active police matters.
The remaining calls in both systems often consist of administrative inquiries, follow-ups on previous complaints, minor traffic reports, and cross-border misdials. Notably, up to 2% of daily calls originate from outside Telangana, further straining a system designed primarily for state residents.
When The Phones Get Busiest — And Why That Matters
Call volumes exhibit a predictable pattern throughout the day, with significant spikes occurring after 7:30 PM and continuing into the night. Most nighttime emergency calls involve domestic disputes, community altercations, and mental health crises—situations where rapid response is crucial.
Seasonal factors exacerbate these challenges. During the ongoing monsoon, emergency lines are inundated with calls regarding severe waterlogging, fallen trees, and disrupted traffic. While these are legitimate public safety concerns, they further stretch the resources available for life-threatening emergencies.
Interestingly, the audit reveals an operational paradox: despite the high volume of nighttime calls, actual response times are often quicker after dark. The average emergency response time in metropolitan Hyderabad is approximately 15 minutes, while it can extend to 20-30 minutes in rural areas. During the day, patrol vehicles are frequently diverted for VIP duties, court assignments, and routine patrolling, which slows response times when public activity peaks.
What AI Will Actually Do
The AI tools that Telangana Police plan to integrate into the ERSS are designed to function across multiple layers. They will analyze voice patterns in real-time, track caller conversion rates, identify and filter out repetitive spam networks, and optimize dispatch workflows to ensure that the appropriate vehicle reaches the correct location as quickly as possible.
The intent is not to replace human operators or to block incoming calls indiscriminately—such actions could inadvertently filter out genuine emergencies. Instead, the focus is on smarter triage: quickly surfacing the 500 calls that genuinely require a response, thereby equipping human operators with better information and reducing operational noise.
Globally, this approach has seen success. For instance, the Philippines upgraded its Unified 911 system earlier this year to detect and block AI-generated prank calls. Following this implementation, prank and abandoned calls decreased by 98.3%, allowing operators to focus on real emergencies almost immediately.
The integration of AI into Telangana’s emergency response system represents a significant step toward enhancing public safety. By leveraging advanced technology, the police aim to streamline operations, improve response times, and ultimately save lives.
Source: the420.in
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