AN INTEGRATED AI SYSTEM FOR SECURE EVIDENCE HANDLING AND CRIME PREVENTION IN ASPS-RD

This paper presents an integrated Artificial Intelligence (AI) system designed to enhance secure evidence handling and proactive crime prevention within the ASPS-RD (Advanced Security and Public Safety – Research Division) framework. The proposed system addresses persistent challenges in law enforcement, including evidence tampering, data fragmentation, delayed analysis, and limited predictive capabilities. By combining machine learning, blockchain-based evidence management, and real-time data analytics, the system ensures integrity, transparency, and efficiency across the evidence lifecycle.

The architecture integrates intelligent surveillance, automated data capture, and secure digital storage, where collected evidence is encrypted and immutably logged using distributed ledger technology. AI-driven classification and pattern recognition algorithms enable rapid identification, tagging, and retrieval of evidence, minimizing human error and processing delays. Additionally, predictive analytics models analyze historical crime data, behavioral patterns, and environmental factors to forecast potential criminal activities, allowing agencies to deploy preventive measures proactively. The system also incorporates role-based access control and audit trails, ensuring that only authorized personnel can interact with sensitive data while maintaining full traceability of all actions. Natural language processing tools support efficient report generation and case documentation, improving inter-agency communication and decision-making. This paper presents an integrated Artificial Intelligence system.
Experimental evaluation demonstrates improved accuracy in evidence categorization, reduced processing time, and enhanced predictive performance compared to conventional systems. The integration of secure technologies with AI not only strengthens legal admissibility but also fosters public trust in digital policing systems.

In conclusion, the proposed AI-driven framework offers a comprehensive solution for modern law enforcement challenges by merging secure evidence handling with intelligent crime prevention. Its scalable and adaptable design makes it suitable for deployment across diverse security environments, contributing to safer communities and more efficient justice systems.