K J Somaiya Institute and Mumbai Police Collaborate for Enhanced Eastern Policing Efficiency
In a bid to improve policing efficiency across Mumbai’s eastern zones, the K J Somaiya Institute of Technology has collaborated with the Mumbai police to develop two cutting-edge tech solutions. As part of this initiative, the east region, including Zones 6 (Mulund to Ghatkopar) and Zone 7 (Shivaji Nagar to Sion), which encompass 18 police stations and involve more than 600 officers, aims to boost its crime prediction and charge sheet management capabilities.
Advanced Predictive Policing System
The first solution, an AI-powered Predictive Policing System, has been designed to forecast potential crime incidents by utilizing historical data. During its pilot phase in March 2025, the system exhibited a commendable 75% accuracy rate in predicting and preventing three incidents, dealing specifically with crimes such as mobile theft, motor vehicle theft, and chain-snatching.
Prof. Radhika Kotecha, leading the research at the department of information technology, stated, “The system performs crime pattern analysis and forecasting to support law enforcement in crime prevention and resource planning.”
The development team, comprising final-year BTech students Hemanshu Rajde, Chirayu Agrawal, Dhruv Mokashe, and Jatin Soneta, worked under the guidance of additional commissioner of police Mahesh Patil and DCP Zone 6 Navnath Dhavale. Data collection was managed by PSI Rushikesh Babar with support from local police stations.
Using five years of crime records, the system employs methodologies like the Haversine formula to analyze spatial crime patterns. Hierarchical Density-Based Clustering, a machine learning technique, identifies crime hotspots, predicting future incidents. Officers receive weekly reports identifying potential crime locations and times, alongside monthly analytics summarizing area trends.
Additional CP Patil highlighted the practical benefits, noting, “The system predicted theft locations within a 500-meter radius with 75–80% accuracy. It’s proving a valuable tool for identifying high-risk areas and is expected to improve further as more data is collected.”
Efficient Chargesheet Submission Monitoring System
The second innovation, the Chargesheet Submission Monitoring System (CSMS), has been introduced to ensure the timely filing of charge sheets, preventing accused individuals from being released on default bail.
Prof. Kotecha explained, “CSMS supports officers across all 18 police stations in Zones 6 and 7. It involves logging crime details and sending automated reminders as deadlines approach, ensuring accountability and timely submissions.”
According to additional CP Patil, the system is helping police stay on track with deadlines, offering pendency reports by zone, station, officer, and crime category. “It allows senior officers to monitor outstanding cases efficiently,” he stated.
Moving Forward with Innovation
This collaborative project emanated from a training session on AI led by Prof. Kotecha for officers in the east region, sparking discussions with DCP Dhavale on leveraging AI for crime forecasting. Suresh Ukarande, director of the K J Somaiya School of Engineering, praised the effort, emphasizing the commitment that facilitated the rapid development and testing of these systems.
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