IOT – BASED SUICIDE PREVENTION SYSTEM (FOR HOSTELS)
VULLENGALA RAJ KUMAR1, DAMERA SHIVA PRASAD2, MOUNIKA3, NARLAPURAM SRAVAN KUMAR4, YAYA AVANTHI5
1Dept. of Computer Science & Engineering (IOT), Siddhartha Institute of Technology and Sciences. Email: 21tq1a6907@siddhartha.co.in
2Dept. of Computer Science & Engineering (IOT), Siddhartha Institute of Technology and Sciences. Email: 21tq1a6916@siddhartha.co.in
3Dept. of Computer Science & Engineering, Siddhartha Institute of Technology and Sciences. Email: dudalamounika.cse@siddhartha.co.in
4Dept. of Computer Science & Engineering (IOT), Siddhartha Institute of Technology and Sciences. Email: 21tq1a6905@siddhartha.co.in
5Dept. of Computer Science & Engineering (IOT), Siddhartha Institute of Technology and Sciences. Email: 21tq1a6908@siddhartha.co.in
Abstract
The project addresses a significant issue, particularly among students in hostels, where mental health struggles often lead to tragic incidents. This project proposes an IoT-based system designed to prevent suicides by enabling early detection and timely intervention. The system employs IR sensors installed near ceiling fans to identify objects such as ropes or cloth that may indicate a suicide attempt. These sensors are connected to an Arduino microcontroller, which processes the data and triggers an alert mechanism when a potential attempt is detected.
The alert system includes LED indicators, buzzers, and real-time notifications sent via a Wi-Fi module (ESP32) to a central monitoring dashboard. The dashboard visually highlights the affected room, enabling hostel wardens or emergency responders to act promptly. This automated process ensures quick response times while minimizing human error. The system’s sensitivity is calibrated to enhance accuracy and reduce false positives, making it reliable and efficient in various settings.
Testing demonstrated that the system could accurately detect objects and trigger immediate alerts, proving its effectiveness. The audible alarms and visual indicators worked seamlessly, while the dashboard provided a user-friendly interface to monitor multiple rooms simultaneously. By leveraging IoT technology, this system offers a scalable and practical solution to mitigate suicide risks, especially in high-risk environments such as hostels.
This project underscores the potential of IoT to address real-world mental health challenges. By enabling early detection and rapid response, the system provides a proactive tool to save lives and foster safer living spaces. With further development, it can be widely adopted to prevent suicides and support mental health awareness in various high-risk environments.
Keywords
IoT Technology, Sensor Integration, PIR Sensor, Ultrasonic Sensor, ESP32 Microcontroller, GSM Module, Real-Time Alerts, Wireless Communication, Cloud Data Storage, Safety Monitoring, Motion Detection, Object Detection, Emergency Response System, Automated Alert Mechanism, Proactive Detection, Environmental Monitoring, Remote Monitoring, Data Logging, Internet of Things Applications, Security System, Intelligent Safety Solutions, Real-Time Notification, Human Presence Detection, IoT-Based Safety System.
References
The development of the IoT-Based Suicide Prevention System was guided by extensive research, practical resources, and inspiration from related projects. Each component of the system, from hardware selection to software integration, was built upon established concepts and tested methodologies.
In particular, a significant reference was drawn from an IoT Smart Fan Project, which addressed a similar objective of preventing suicides. This project utilized a sensor-based system to detect weight thresholds, triggering an automated mechanism to lower the fan rod. Similarly, our project adopted a threshold-triggered approach to activate alerts, ensuring timely intervention.
Additionally, technical manuals, academic resources, cloud platforms like ThingSpeak, and programming tools were pivotal in ensuring the system’s reliability and scalability. These references provided the foundation for integrating IoT technology into a practical and impactful solution.
Below is a detailed list of the tools, projects, and materials referenced during the project’s design and implementation phases.
Reference Project:
- IoT Smart Fan Project: This project inspired the concept of triggering emergency mechanisms based on threshold conditions. Specifically, it involved using a sensor to detect an increase in weight on a fan. Upon detection, the fan’s rod was automatically extended to the ground level to prevent harm.
- Key Concept Derived: Using threshold-based triggers for emergency interventions
Hardware Resources:
- Microcontroller: ESP32 or Raspberry Pi for sensor interfacing and cloud communication.
- ESP32 Datasheet
- Motion Sensor (HC-SR501): Used for detecting movement as an indicator of physical activity.
- HC-SR501 Motion Sensor Manual
- Heart Rate Sensor (Pulse Sensor): For detecting heart rate anomalies.
- Pulse Sensor Documentation
- Alert Mechanisms: LED and buzzer for real-time notification of emergencies.
- Circuit guides from Electronics Tutorials
Protocols and Communication:
- MQTT Protocol: To facilitate lightweight communication between devices and the cloud.
- Introduction to MQTT
- HTTP: REST API for sending and receiving data from ThingSpeak.
- HTTP Overview
Web Dashboard:
- Frontend Development:
- HTML, CSS, and Bootstrap for building a clean and responsive interface for the caretaker.
- Bootstrap Guide
- API Integration: Embedded ThingSpeak data into the dashboard using JavaScript Fetch API.
- Fetch API Documentation
Literature and Research Material:
- “Internet of Things: A Hands-on Approach” by Arshdeep Bahga and Vijay Madisetti
- For conceptual understanding and implementation techniques.
- Blogs and Tutorials:
- Sample code and hardware setups from IoT-related GitHub repositories.
- Tutorials on real-time cloud integration and sensor interfacing.
Additional Acknowledgments:
- Inspiration from real-world projects addressing emergency scenarios in IoT-based systems.
- Guidance from instructors and peers who provided constructive feedback during development.
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