Missing Person Identification System – Crowd Trace

Abstract - The increasing number of missing person cases and rising public safety concerns require a shift from outdated paper-based investigation methods to a unified technology-driven system. This project introduces Crowd Trace, a digital platform designed to modernize law enforcement operations by streamlining investigation and case tracking across multiple jurisdictions. The system integrates Image Processing for evidence analysis, Geolocation Tracking for real-time sighting verification, and Data Centralization to provide a secure and shared database for authorized users. Crowd Trace follows a four-tier access model Admin, Police, Registered User, and Public User to ensure controlled information flow and enable collaboration between authorities and the public through reporting sightings and submitting images. An added Criminal Identification Module connects missing person and criminal databases, helping investigators identify links between cases and speed up resolutions. By creating a centralized and secure digital environment, Crowd Trace reduces redundant work, improves inter-agency coordination, and enhances decision-making with real-time updates, ultimately enabling faster recovery of missing individuals and better crime management. Key Words: Image processing, Geo-location tagging, Data Centralization, Digital Investigation Platform, Criminal Identification Module, Real Time Case Tracking, Public Collaboration, Law Enforcement System, Crowd Trace, Missing Person Identification