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Personal safety devices often fail during high stress encounters due to complex activation methods and a lack of visual evidence. This paper presents Guardian, an IoT-based safety ecosystem that utilizes a decoupled architecture to bridge the gap between hardware triggers and mobile intelligence. The system consists of a wearable edge device (ESP32-S3) and a React Native mobile application. Upon activation, the edge device captures high-resolution images and transmits them to a centralized Express.js backend server. The server serves as an orchestration hub, retrieving the victim's real-time GPS coordinates from a MongoDB database while simultaneously offloading captured forensic evidence to secure cloud storage (Cloudinary). This architecture ensures that even if the physical device is destroyed, evidence is preserved externally. The server aggregates this data to dispatch a composite alert via Twilio, including an emergency help message, the victim's live location, and secure evidence URLs. Experimental results show an end-to-end alert latency of less than 5 seconds, demonstrating a robust and scalable framework for emergency response and legal accountability.
Keywords:
Internet of Things (IoT), Personal Safety System, ESP32-S3, Wearable Edge Device, Cloud Storage Evidence, Real-Time Location Tracking, Mobile Application
Cite Article:
"Guardian: IoT Emergency Alert & Secure Evidence System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 2, page no.a465-a475, February-2026, Available :http://www.ijrti.org/papers/IJRTI2602064.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator