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@article{175933,
        author = {Roselin Sudhandra S and Swathi.S and Nagireddy Gari Neha},
        title = {Smart iot system for human tracking and health surveillance using nodeMCU},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {4373-4377},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175933},
        abstract = {This project proposes an IoT-based wearable Safety System designed for real-time distress detection and emergency response. It integrates a NodeMCU microcontroller with a Heartbeat Rate (HBR) sensor, ADXL345 accelerometer, GSM module, and GPS module to monitor physiological and motion-based anomalies. The HBR sensor tracks heart rate patterns, while the ADXL345 detects sudden movements or falls. Upon detecting distress or manual activation via an emergency button, the system triggers an SOS alert, sending the user’s GPS coordinates via GSM to emergency contacts .Real-time sensor data is also transmitted to ThingSpeak for continuous remote monitoring and future AI-driven anomaly detection. The system emphasizes wearability and accessibility, ensuring ease of use in critical situations. By automating distress detection and providing instant location-based alerts, it overcomes limitations of existing solutions that rely on manual activation. Using cost-effective IoT components like NodeMCU, GSM, GPS, and sensors ensures feasibility and practicality. The project aims to enhance women's safety by offering a reliable, intelligent emergency response system. Real-time data transmission, automated distress detection, and cloud-based monitoring contribute to rapid assistance, empowering women with a greater sense of security. This system minimizes response times, provides critical information to responders, and fosters a safer environment.},
        keywords = {},
        month = {April},
        }