Lahore Police has launched an artificial intelligence (AI)-powered crime prediction system aimed at identifying high-risk areas and anticipating criminal activity before it takes place. Developed by the Punjab Safe Cities Authority (PSCA), the system represents a major stride in predictive policing in Pakistan, combining data analysis, surveillance integration, and field intelligence to enhance law enforcement efficiency. It processes three years of First Information Report (FIR) data, incorporates live Safe City camera feeds, and merges on-ground inputs from field units to allow for smarter resource deployment and faster response.
Officials described the system as a vital tool in strengthening the city’s public safety network. The AI model supports police officers in identifying potential crime hotspots, predicting when and where offenses are likely to occur, and making data-informed operational decisions. During a high-level review meeting, police leadership assessed the system’s performance and reviewed updated crime figures from the Lahore Police Operations Wing. Data revealed that property-related crimes in Lahore dropped by 77 percent between 2023 and 2025, highlighting a clear downward trend attributed to data-driven operations and community engagement. Records indicate that 80,827 property cases were registered in 2023, which fell to 45,865 in 2024 and further decreased to 18,558 by September 2025.
This pattern of decline extended across all city divisions. Officials attributed the progress to better intelligence coordination, divisional accountability, and targeted patrols. According to police data, total reported crimes for September 2025 stood at 1,279, compared to 6,941 in 2023 and 3,146 in 2024 — a reduction of more than 80 percent over two years. Robberies dropped by 91 percent, snatching by 89 percent, motorcycle theft by 74 percent, and burglaries by 63 percent. Serious offenses, including dacoity and robbery-cum-murder, were also halved, registering drops of 50 and 67 percent, respectively. Calls made to the emergency Helpline 15 reflected similar progress, falling from 76,710 in 2023 to 34,360 in 2025. Reports of robbery, snatching, and vehicle theft collectively saw declines exceeding 50 percent, suggesting not only reduced incidents but also growing public confidence in law enforcement efforts.
DIG Operations Faisal Kamran stated that the AI-powered system represents a strategic shift from reactive policing to a proactive, data-guided approach. “We are leveraging artificial intelligence to forecast crime trends and pinpoint vulnerable areas before incidents occur,” he said. He added that this initiative aligns with the vision of Punjab Chief Minister Maryam Nawaz and Inspector General of Police Dr. Usman Anwar, both of whom have emphasized the integration of modern technology in policing to improve safety outcomes across Punjab. The DIG highlighted that consistent monitoring, Safe City integration, divisional accountability, and enhanced patrol coordination have all contributed to sustained improvement in urban safety indicators.
Officials clarified that the system is designed to complement, not replace, human decision-making. It provides data-driven insights that improve deployment accuracy, response precision, and overall crime prevention strategy. Currently, the predictive model is undergoing fine-tuning based on historical FIR records and real-time analysis to improve forecasting accuracy. Once fully operational, it will produce interactive predictive maps guiding patrol units and control rooms in prioritizing high-risk areas across the provincial capital. With this advancement, Lahore is set to emerge as a model for technology-enabled policing, combining AI analytics with on-ground intelligence to build a safer, more responsive urban security framework.
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