RadarZone: A Community-Driven Unsafe Area Reporting and Pre-Warning System

Abstract

The increasing rate of urban safety concerns calls for effective preventive systems that go beyond traditional emergency response solutions. This paper proposes RadarZone, a citizen-driven unsafe area reporting and pre-warning system that leverages mobile technology to enhance public security. The system enables users to report unsafe zones with photos, videos, and GPS location data, which are transmitted to a centralized server. Reports are then validated by police authorities to ensure authenticity, and once approved, preventive alerts are shared with nearby users in real time. Unlike existing SOS-based applications that primarily respond after incidents occur, RadarZone focuses on prevention by warning citizens beforehand and mapping unsafe areas for long-term monitoring. The proposed framework establishes a collaborative bridge between communities and law enforcement, enabling transparency and faster responses. Furthermore, the system can be extended with artificial intelligence and IoT-based predictive analytics, making it adaptable for smart city environments and scalable for future urban safety applications.