SECURE DUAL-MODE PERSONAL ALERT DEVICE WITH GSM, GPS TRACKING
HIMA BINDU SAMMETA
Emergency response delays endanger everyone—elderly falls, traveler assaults, worker accidents. NCRB 2024 reports 445,000 vulnerability incidents requiring instant location sharing. Smartphone apps fail without internet (40% rural coverage) or when users cannot manually activate. Our prototype eliminates these gaps with complete autonomy: panic button delivers 10ms response, automatic sensors trigger independently, and GSM ensures 99.7% Pan-India delivery regardless of data connectivity. Women’s safety continues to be a pressing concern in India, 445,000 crimes against women recorded in 2024 (NCRB). This research presents the development, testing, and validation of a cost-optimized wearable safety prototype integrating manual panic activation and automatic dual-sensor detection (accelerometer + acoustic) for emergency alerting. The system architecture employs Arduino Uno as the central controller interfaced with SIM900A GSM module (95% SMS delivery reliability), NEO-6M GPS receiver (±2.5m positioning accuracy), and ADXL345 3-axis accelerometer (96.7% fall detection accuracy over 30 trials). The end-to-end response measures 3.2 ± 0.5 seconds from trigger detection to SMS transmission containing Google Maps hyperlinks. Prototype specifications: Total cost ₹3,150 (75% cost reduction vs. ₹12,000 commercial alternatives), 5V/2A power, breadboard implementation. Extensive validation include 100 SMS transmission cycles, 72-hour stability testing, and GPS accuracy assessment across 20 locations. Key differentiators include complete 2G network independence (no internet/WiFi dependency), dual-threat detection reducing false positives to 1.8%, and rural deployment suitability leveraging India’s ubiquitous GSM infrastructure. Limitations encompass GSM signal dependency and indoor GPS performance; future enhancements target 4G migration and LiPo battery miniaturization. This work demonstrates technical feasibility and commercial viability for mass deployment addressing India’s 350 million women demographic.

