Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

Friday, 8 August 2025

How AI tools

 



How AI tools are helping Mumbai Cops prevent crimes

Extract from the article:
The Mumbai police, in collaboration with the KJ Somaiya Institute of Technology, have developed an AI-powered predictive policing system focused primarily on curtailing prevalent street crimes such as mobile theft, chain snatching, and vehicle theft. Demonstrating a 75% accuracy rate, this system is designed to anticipate where and when crimes are likely to occur, allowing law enforcement to allocate resources preemptively rather than reactively. This proactive approach not only enhances operational efficiency but also significantly aids in crime prevention, marking a progressive stride in urban policing.

The integration of AI tools into policing represents a culmination of advanced technologies such as machine learning and geospatial analysis working in concert to create predictive models. By identifying high-risk zones and probable crime timelines, this system empowers the Mumbai police with real-time insights that were previously unattainable. The collaboration with academic institutions underscores the increasing trend of leveraging deep tech solutions with tailored algorithms to address city-specific challenges. This initiative exemplifies how technology and policy intersect to modernize traditional law enforcement strategies, hopefully inspiring wider adoption across other metropolitan areas.

My Take:

A. Marriage of Technologies to Contain Crimes
"Today, Telangana police officials claim a 40% reduction in crime rate across the state, with heinous crimes like chain-snatching reducing 98% from 2014... The technology it uses includes Artificial intelligence, Deep tech and machine learning, Computer vision, Geospatial analysis, IT process automation. Collectively, it is referred to as Augmented Intelligence. This is basically AI with Human at the centre."

Reflecting on this, it’s fascinating to see how the Mumbai police’s newly launched AI-powered predictive system resonates perfectly with what I wrote several years ago about Telangana’s success with augmented intelligence-driven policing. The concept of humans orchestrating AI as an assistant rather than a replacement is crucial; it ensures that the nuanced expertise of officers complements the algorithmic predictions. Mumbai's 75% accuracy rate is a testament to how this blend — AI-enhanced but human-centric — is evolving to empower law enforcement for more precise crime prevention. Back then, I envisioned such forestalling of crime patterns through an amalgamation of computer vision and geospatial analysis could revolutionize policing dynamics, and now it’s unfolding in real time with tangible impact.

B. Re Moon Shot
"The integrated traffic management system, which uses surveillance cameras and Internet of Things-enabled sensors to detect traffic violations and streamline everyday traffic in key junctions of the city... Telangana police officials claim a 40% reduction in crime rate across the state, with heinous crimes like chain-snatching reducing 98% from 2014...At the back-end, the technology it uses includes Artificial intelligence, Deep tech and machine learning, Computer vision, Geospatial analysis, IT process automation."

When I detailed the synergy of surveillance cameras, IoT sensors, and AI in Telangana’s urban crime containment strategy, I was essentially spotlighting a comprehensive framework that could equally apply to cities like Mumbai. The Mumbai initiative’s success hinges on these very pillars—machine learning fused with geospatial data to forecast crimes—mirroring the intelligent ecosystem approach I had highlighted earlier. This reinforces the notion that effective crime combating in high-density urban centers requires not simply isolated technological tools but their seamless integration within an augmented intelligence framework. Mumbai’s adoption thus isn’t isolated but part of a broader archetype of AI’s transformative potential in public safety.

C. We Are Onto The Right Path
"In the movie Minority Report, technology enables cops in the future to arrest criminals even before the crime is committed... Innefu Labs is aiming to reach there... developing a product to predict man-made calamities and help security forces avert these disasters... The platform uses mathematical models to predict crime, infiltration, terrorist attacks and other man-made calamities."

Looking back at these early prescient observations, the Mumbai police AI system echoes the embryonic form of predictive policing I discussed years ago — a real-world instantiation of what once seemed futuristic or purely science fiction. Although we are not quite at the stage of arresting criminals before a crime occurs as portrayed in Minority Report, the ability to anticipate crime hotspots and times brings us significantly closer to that paradigm. The utilization of rigorous mathematical modeling and AI to forecast crime is no longer theoretical; Mumbai’s predictive policing system embodies this vision practically, illustrating how law enforcement is steadily transitioning onto this path of anticipatory justice and disaster mitigation.

Call to Action:
To the Mumbai Police Department and policymakers guiding urban safety: This AI-powered crime prevention system is a landmark innovation that deserves robust support and continual refinement. I urge you to invest further in expanding the scope of these AI tools beyond mobile theft and chain snatching to tackle a wider spectrum of crimes, incorporating enhanced data sources and real-time feedback loops from frontline officers. Make this initiative a beacon for other Indian metros, promoting cross-city collaborative data sharing frameworks for smarter policing. Additionally, transparency with citizens about how AI augments public safety will foster trust and community partnership – key ingredients for sustainable security. Harnessing technology with human insight, Mumbai can truly rewrite the future blueprint of urban crime prevention.

With regards,
Hemen Parekh

www.My-Teacher.in

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