SILENT SOS MESH
Overview
SILENT SOS MESH is a GridDB-powered emergency intelligence platform that automatically detects critical events using IoT sensors. Its core philosophy is: “If you can’t find help, help will find you.”
The Challenge: The “Golden Hour”
- Critical Window: The most important factor in survival is the Golden Hour—the short window after an incident where timely assistance can prevent death or severe injury.
- Human Dependency: Most safety systems assume a victim can actively call for help, which is often impossible if they are unconscious or trapped.
- Lack of Intelligence: Standard alert systems treat emergencies as isolated signals without historical context or pattern awareness.
The Solution
Silent SOS Mesh shifts emergency response from human-triggered alerts to automatic, data-driven rescue intelligence.
Key Features
- Automatic Detection: Uses IoT sensors to identify falls, high-impact injuries, immobility, or abnormal vital signs without requiring human action.
- Silent Transmission: Events are transmitted and stored as time-series data for immediate transformation into actionable insights.
- Cross-Domain Utility:
- Women’s Safety: Detects abnormal motion or forced immobility in high-risk zones.
- Fisherman Safety: Detects falls overboard or sudden impacts at sea.
- Disaster Response: Identifies trapped individuals during floods or earthquakes.
- Industrial/Elderly Care: Monitors for falls and accidents in factories or homes.
Technical Integration
- GridDB: Acts as the central engine for ingesting high-volume sensor data with low latency.
- Emergency Intelligence: GridDB enables the system to identify high-risk zones and recurring incident patterns.
- Faster Response: By reducing false alarms and providing historical trends, authorities can allocate resources more intelligently.
Project Impact
By combining IoT sensing with GridDB’s time-series capabilities, Silent SOS Mesh ensures that help is dispatched even when the victim is unable to communicate. It redefines survival by maximizing the effectiveness of the Golden Hour.
Team Members
- Swayam Sonawane (Team Leader): officialskillup6@gmail.com
- Aditya Sharma: adishahil346@gmail.com
- Sumit Sonawane: sumit.sonawane241@pccoepune.org