Real-Time Fleet Telematics
Continuous streaming and cloud ingestion of live locomotive sensor telemetry including GPS location, speed, and status mapping.
Each feature is purpose-built to enhance usability, streamline engagement, and deliver measurable value across platforms.
Continuous streaming and cloud ingestion of live locomotive sensor telemetry including GPS location, speed, and status mapping.
Real-time stream processing with AWS Lambda workers, routing time-series sensor logs directly into optimized storage.
Operational tracking metrics monitoring total fuel used, fuel efficiency, and precise asset locomotive idling hours.
Multi-tier threshold rules triggering instant notifications for excessive speed, harsh braking, and battery drops.
A dedicated recovery portal providing remote parsing and local downloading of crash-hardened memory module data strings.
Read-only monitoring of local onboarding hardware configurations, connection health records, and firmware updates.
Built with Node.js, React, and TypeScript, the cloud architecture scales via AWS ECS/EKS. It pipelines live telemetry through AWS IoT Core and Kinesis, persistence utilizing TimescaleDB, PostgreSQL, and Amazon