Railway Safety Monitoring System

A real-time video monitoring platform for railway safety, built around multi-stream RTSP ingestion, edge AI inference, and message-based data pipelines.

Overview

The system processed 30+ RTSP streams per site and ran AI models on Jetson edge devices for equipment state detection. Detection outputs were passed through a Kafka pipeline for monitoring and integration.

Slides

Project deck

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Railway Safety Monitoring presentation slide 1

Key Work

  • Built real-time monitoring using 30+ RTSP streams per deployment site.
  • Deployed AI models on Jetson edge devices.
  • Implemented YOLOv7, SVM, and OCR for equipment state detection.
  • Integrated inference output with a Kafka-based pipeline.