Fishplate is an AI-powered rail intelligence platform that converts train videos into structured, searchable data. Rather than just hosting or streaming footage, Fishplate applies computer vision to analyse video content and extract key details, including locomotive numbers, operators, locations, timestamps, and headcodes. Users can actively query real-world rail activity instead of passively viewing footage.
Fishplate serves as a dynamic database of rail movements based on video evidence. Users can search for specific locomotives, track their sightings, and analyse patterns such as operator frequency at certain locations. By converting unstructured video into organised datasets, Fishplate connects visual media with actionable intelligence.
This establishes Fishplate as a rail intelligence platform, not just a content site. It supports diverse use cases for various audiences. Rail enthusiasts can find rare sightings and build historical records. Industry professionals can track assets, verify information, and gain operational insights. Researchers and analysts can study trends in rail activity using real-world visual data.
Fishplate does not replace real-time tracking; rather, it complements it with verifiable historical and visual evidence. While live feeds provide real-time positions, Fishplate provides a permanent, searchable record of sightings, enriched with visual context, including train composition, condition, branding, and anomalies.
Fishplate shifts the focus from simply watching trains to understanding them, delivering a unique and valuable perspective on rail networks through intelligent video analysis.