REAL-TIME IOT AND GPS ASSISTED WOMEN SAFETY DEVICE WITH EMERGENCY ALERTS

Abstract

Ensuring personal security for women has become an increasingly urgent challenge, requiring intelligent systems capable of delivering rapid and dependable assistance during emergencies. This work introduces a real-time safety solution that integrates Internet of Things (IoT) technology with geolocation services to provide continuous monitoring and instant alert generation. The proposed system is built around an ESP-32 microcontroller, which serves as the central processing unit for collecting and managing data from multiple embedded sensors. These include a DHT11 sensor for environmental conditions, a pulse oximeter sensor for monitoring heart rate and oxygen saturation, a vibration sensor for detecting unusual physical activity, and a dedicated panic switch for manual distress activation. A GPS module enables accurate location identification, while an ESP-CAM module supports visual evidence capture during critical situations. Sensor data is processed and transmitted wirelessly using Zigbee communication to a remote receiver unit. At the receiving end, another ESP-32 module interprets the incoming data and triggers appropriate responses such as visual display through an LCD, audible alerts via a buzzer, and real-time data uploading to a cloud platform for remote access and tracking. A regulated power supply ensures stable and uninterrupted operation of the system components. The overall design emphasizes portability, energy efficiency, and affordability, making it suitable for practical deployment. By combining wearable sensing, wireless communication, and cloud integration, the system offers an effective and responsive approach to enhancing women’s safety in real-world scenarios.