AI-Powered Rail Intelligence from Publicly Available Media
Transform publicly shared rail footage into structured rail intelligence, enabling new visibility into fleet movements, operators, and network activity.
Fishplate analyses large volumes of rail video shared online and converts it into searchable operational data.
A New Source of Rail Operational Insight
Every day, thousands of rail videos are shared across social platforms.
Until now, this information has remained unstructured, fragmented, and impossible to analyse at scale.
Our platform transforms this untapped source into structured rail intelligence.
Using advanced AI analysis, publicly shared rail footage is converted into searchable operational data, revealing insights about:
- Operators
- Locomotives
- Headcodes
- Locations
- Network activity
This creates a new observational data layer for rail operations.
Rail Operator Logo Recognition AI Model
Fishplate has trained a specialist rail operator logo recognition AI model for the rail environment. It is designed to identify operator and brand logos visible on trains, rolling stock and railway imagery.
Unlike a general image-recognition model, this work is grounded in rail-specific visual data: changing liveries, partial views, motion blur, varied lighting, reflections and logos seen at distance in real-world video.
For organisations working with railway imagery or video, the model can support faster identification of train operators and branded rolling stock. We are open to conversations about evaluation, licensing and bespoke rail logo recognition projects.
Built for the visual conditions of the UK rail network.
Recognise train operator and railway brand logos from imagery.
Discuss model licensing or a tailored proof of concept.
Fishplate in Numbers
Converting Public Media into Operational Intelligence
Fishplate analyses rail videos shared online and extracts structured operational information.
Instead of manually reviewing footage, organisations can search and analyse rail activity across thousands of videos.
This enables:
- Automated identification of rolling stock
- Detection of services and movements
- Aggregation of rail activity signals from public media
The result is a scalable dataset of observed rail activity.
Rail Logo AI Model FAQ
What is a rail logo recognition AI model?
It is a machine-learning model trained to recognise railway operator and brand logos in rail images and video, helping identify the operator associated with visible rolling stock.
Can the model identify train operator logos in video?
That is the intended use case. Fishplate’s model is trained around rail imagery and can be evaluated against relevant video or image collections as part of a commercial discussion.
Is the rail operator logo model available to license?
We are exploring licensing and bespoke applications. Contact Fishplate with your intended use, image sources and evaluation requirements.
Combining Public Media with Rail Network Data
Fishplate combines AI analysis of publicly shared rail footage with official rail network data sources such as Network Rail open data feeds.
By linking observed footage with operational datasets, Fishplate can associate rail activity with:
- Train headcodes
- Operators
- Network locations
- Scheduled and real-time movements
This enables a richer understanding of rail activity by combining observed activity with operational context.
Unlock New Visibility into Rail Activity
This capability opens new opportunities for organisations seeking greater situational awareness of rail operations.
Potential applications include:
- Fleet Visibility
Understand where locomotives and rolling stock appear across the network. - Operational Monitoring
Identify service movements and activity patterns observed in public media. - Network Intelligence
Gain additional insight into rail activity across the network. - Open-Source Rail Intelligence
Leverage publicly shared rail footage as an additional source of operational signal.
Example: AI-Extracted Operational Data
A New Data Layer for Rail
Public media is becoming an increasingly valuable source of operational insight across industries.
By transforming rail footage into structured intelligence, organisations can gain additional visibility into real-world rail activity without deploying new infrastructure.
This approach effectively creates a crowdsourced observation layer for rail networks.
A platform that converts publicly shared rail videos into searchable operational rail data.
Explore the Potential
We are currently speaking with organisations across the rail sector to explore how AI-generated rail intelligence from public media could support operational insight and analysis.
If this capability could be relevant to your organisation, we would welcome the opportunity to discuss it.
Get in touch to learn more.