SMARTTRACK
IoT Railway Crack Detection & Monitoring System
Detecting railway track abnormalities through connected sensing, real-time data flow, backend processing and map-based monitoring.
Manual railway track inspections are slow, labor-intensive, and prone to oversight, risking catastrophic derailments.
An IoT-based continuous sensing system that streams vibration and alignment telemetry to a central monitoring pipeline.
Deployed edge sensor nodes along tracks to collect continuous vibration and alignment telemetry, streamed over lightweight MQTT to a central ingestion backend.
Built edge firmware telemetry handlers, MQTT subscriber microservice, REST API endpoints for telemetry querying, and interactive Leaflet map interface.
Designed the end-to-end hardware-to-cloud data ingestion pipeline and real-time alert dispatching service.
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.