SMARTTRACK
IoT Railway Crack Detection & Monitoring System
Detecting railway track abnormalities through connected sensing, real-time data flow, backend processing and map-based monitoring.
01 / THE PROBLEM
02 / THE CORE CONCEPT
An IoT-based continuous sensing system that streams vibration and alignment telemetry to a central monitoring pipeline.
03 / TECHNICAL APPROACH
Deployed edge sensor nodes along tracks to collect continuous vibration and alignment telemetry, streamed over lightweight MQTT to a central ingestion backend.
04 / SYSTEM ARCHITECTURE DIAGRAM
IMPLEMENTATION DETAILS
Built edge firmware telemetry handlers, MQTT subscriber microservice, REST API endpoints for telemetry querying, and interactive Leaflet map interface.
MY VERIFIED CONTRIBUTION
Designed the end-to-end hardware-to-cloud data ingestion pipeline and real-time alert dispatching service.
ENGINEERING CHALLENGES OVERCOME
Ensuring reliable low-latency MQTT data ingestion during high-frequency sensor telemetry bursts.
Functional hardware prototype demonstrating real-time crack anomaly detection with geographic mapping, selected under Sustainable Cities category at Hackathon 2025.