ResQPlus: A Weapon Detection and Emergency Alert Platform for Real-Time Public Safety Using YOLO11n

This work presents ResQPlus, a unified four-layer IoT reference architecture (perception, edge processing, network/communication, application services) that integrates real-time weapon detection with automatic evidence capture, GPS-based location sharing, and multi-stakeholder emergency alerting; a combination rarely addressed as a single coordinated pipeline in existing literature, which tends to treat detection accuracy and alert routing as separate problems. The perception layer was validated using a lightweight YOLO11n model, achieving 89.66% precision and 80.30% recall at 8–45 ms inference latency. More significantly, the complete detection-to-alert pipeline from camera-based threat identification through cloud routing to simultaneous police dispatch and citizen notification which completes in under two seconds end-to-end, demonstrating practical viability for time-critical, resource-constrained surveillance deployments across homes, schools, vehicles, and workplaces.