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Real-Time Railway Crossing Monitoring and Data Aggregation System Using Microservices and IoT Integration

altoroslabs.com

Manufacturing

Automotive

Utilities

Current Challenges

The client's legacy monolithic system for monitoring railway crossings lacked scalability, hindered module updates, required manual deployment processes, and failed to support real-time critical accident notifications. Additionally, it needed to maintain compatibility with legacy sensors during a phased hardware replacement.

About the Client

A global provider of rail transportation technologies, infrastructure, and vehicles, specializing in railway signaling, control systems, and high-speed trains.

Project Goals

Replace the monolithic architecture with a scalable microservices-based system
Enable real-time accident detection and notifications
Automate deployment processes to accelerate feature delivery
Support legacy IoT devices during transitional phases
Process and store petabytes of daily data from edge devices

Core System Capabilities

Microservices architecture for modular functionality updates
Real-time data streaming and alerting via HiveMQ
Containerized deployment using Docker and Kubernetes
Legacy sensor integration via MQTT protocol bridging
Video analytics for accident detection using TensorFlow
Cross-security-zone data transfer with Apache Kafka

Technology Stack

Kubernetes

Docker

HiveMQ

Apache Kafka

MQTT

TensorFlow

Java

Python

System Integrations

HDFS for historical data storage
Couchbase Server
MongoDB
PostgreSQL

Operational Requirements

Scalability to handle petabytes of daily data
Real-time processing at megabytes-per-second throughput
99.99% system availability
Cross-zone security compliance
10-15x operational efficiency improvement

Business Impact

Deployment across 2,500 railway crossings with 5,000+ edge devices will enable proactive accident prevention, reduce deployment cycles by 10-15 times, and support future system expansions without architecture-wide disruptions, while maintaining compatibility with legacy infrastructure during modernization.