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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →Filing growth compares 2021 (38 records) with 2024 (12) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 468 records in scope (CR5), not by the ranked leaders only.
This landscape draws on 468 published patent records filed between 2015 and 2026 that combine rail safety or rail monitoring language with a specific technical hook — train position, wheel contact, traction supply, track condition, track monitoring or rail vehicle claims. That combination narrows the set to systems that actually sense, locate or condition-monitor rail infrastructure and rolling stock, rather than every patent that merely mentions a railway.
Because publication lags filing by roughly 18 months, the most recent one or two years in any trend chart will always look thinner than they eventually turn out to be. The 2024 filing year is the most recent one that can be read as essentially complete, and that year sits well below the 2017 peak.
Two views of the same 468 records: how filing volume has moved year over year, and which IPC subclasses carry the claim density.
Annual publications ran from 91 in 2017 down to 2 in the partial 2026 year. Restricting the comparison to complete years, 2021 to 2024, filings fell 68%, from 38 to 12 — a real contraction, not a reporting artefact, though 2025 and beyond will still fill in as later publications land.
B61L (railway traffic control) appears in 57.1% of the 468 records, with B61K (railway auxiliary equipment) a distant second at 25.4%. Because records can carry multiple IPC classes, these figures add up to well over 100% and should be read as claim-space overlap, not as a partition of the field.
Shares are the percentage of the 468 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about rail safety & monitoring patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaA track monitoring system for mounting to a vehicle on a track comprising at least one rail, combining a position-and-attitude measurement unit, a storage medium for track geometry data, and a laser imaging and/or scanning unit that determines the position of the rail and surroundings relative to the system during a pass, with a processor to determine track condition from the collected data.Abstract text is truncated in the underlying record; full claim language should be reviewed before relying on scope.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20160221592A1 | Real Time Machine Vision and Point-Cloud Analysis For Remote Sensing and Vehicle Control | 230 |
| 2 | EP1600351A1 | Method and system for detecting defects and hazardous conditions in passing rail vehicles | 215 |
| 3 | US20170313332A1 | Autonomous vehicle system and method | 171 |
| 4 | US20190176862A1 | Locomotive control system and method | 158 |
| 5 | US20090173839A1 | Integrated rail efficiency and safety support system | 106 |
| 6 | WO2016118672A2 | Real time machine vision and point-cloud analysis for remote sensing and vehicle control | 102 |
| 7 | US20160121912A1 | Real time machine vision system for train control and protection | 84 |
| 8 | US20140069193A1 | Rail condition monitoring system with carriage | 83 |
| 9 | US20160159381A1 | Vehicle control system and method | 75 |
| 10 | US20200156676A1 | Image-based monitoring and detection of track/rail faults | 54 |
Citation counts are drawn from within this searched corpus and favour older filings that have simply had longer to accumulate citations — treat them as a signal of influence, not of current commercial relevance.
Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three patterns stand out once volume, concentration and technology mix are read together.
The 2021-2024 window is fully published, so the drop from 38 to 12 filings reflects an actual pullback in new applications rather than records still working through the pipeline. Anyone benchmarking activity against the 2017 peak of 91 should treat that year as an outlier high, not a baseline.
The leading assignee holds 31 records and the top 5 combined reach 28.4% of all 468 records in scope, rising to 44.7% for the top 10. That leaves the majority of filings spread across a long tail of single- and few-filing entrants, which is unusual concentration for a field this narrowly scoped.
B61L claims sit in more than half of all records, while G01N material analysis (6.4%) and G06F digital data processing (5.1%) remain comparatively thin. That gap is where sensing-and-processing claims have room that traffic-control claims do not.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to rail safety & monitoring patent landscape, with the prior art for and against each one.
| Assignee | Co-assignee | Shared families |
|---|---|---|
| General Electric Company | TEETER DAVID CARROL | 1 |
| General Electric Company | SMITH EUGENE A | 1 |
| General Electric Company | SHERIN SCOTT C | 1 |
| General Electric Company | PELTZ DAVID | 1 |
| General Electric Company | MCKAY DAVID | 1 |
| General Electric Company | LIU ZUOGUANG | 1 |
| General Electric Company | KRAELING MARK | 1 |
| General Electric Company | KENDALL HAROLD | 1 |
Only 10 co-assignee pairs appear across the dataset, mostly linking a single large filer to individually named inventors rather than to other companies — this is a field of largely independent filers, not joint-development consortia.
The ranking spans 100 companies counted by record count; it is the full ranking the dataset returns, not a curated top tier.
The top-ranked assignee holds 31 of 468 records — enough to set direction in its core claims, but far short of the volume needed to foreclose the field. Fifth place already drops to 23 records and tenth place to 14, showing a gentle rather than a cliff-edge decline down the ranking.
A number of assignees that appear in the ranking, including firms focused on ore-shuttle rail systems, fibre-sensing and rail-condition monitoring, show zero filings in the latest tracked year. That pattern is consistent with the broader post-2017 slowdown rather than with any single company exiting the space.
The United States receives the largest share of filings at 150 records, followed by the EPO at 57, with India, WIPO/PCT and Australia each in the 40-41 range. That spread suggests rail safety technology is being protected across multiple jurisdictions rather than concentrated in a single home market.
| Assignee | Recent year | YoY |
|---|---|---|
| Bulk Ore Shuttle System Pty Ltd | 0 | — |
| OptaSense Holdings Limited | 0 | — |
| Wavetrain Systems | 0 | — |
| Avante International Technology Inc | 0 | — |
| Salient Systems Inc | 0 | — |
| Harsco Technologies LLC | 0 | — |
| General Electric Company | 0 | — |
| SMARTDRIVE SYSTEMS INC | 0 | — |
The dataset points to specific next steps depending on whether the goal is defensive clearance or offensive filing.
With 57.1% of records touching railway traffic control, any new filing in that subclass needs a freedom-to-operate check against the densest part of this landscape before drafting begins.
Explore claim mapping in EurekaA leader at 31 records and a top 10 at only 44.7% of 468 records leaves room for M&A or licensing moves among smaller filers; tracking momentum by assignee flags who is still active.
Track assignee activity in EurekaSensing, material analysis and data-processing subclasses sit well below B61L's density, suggesting room for differentiated claims rather than head-on competition.
Run a white-space search in EurekaThe ranking covers 100 companies measured by record count, with the leading assignee holding 31 of the 468 records in scope. The top 5 assignees combined reach 28.4% of all records, and the top 10 reach 44.7%, so while there is a clear leader, the field is not controlled by a small handful of firms. A long tail of single- and few-filing entrants makes up the rest of the ranking, which is typical for a technical niche rather than a mature, consolidated market.
Filing peaked at 91 published records in 2017 and has declined since; the most recent complete-year comparison, 2021 to 2024, shows a 68% drop from 38 to 12 filings. Because publication typically lags filing by around 18 months, the 2025 and 2026 figures in the dataset are still incomplete and should not be read as confirming a continued fall. Based on the complete-year data available, the trend through 2024 is a genuine contraction rather than a plateau.
B61L, railway traffic control, appears in 57.1% of the 468 records in scope, making it by far the most heavily claimed subclass. B61K, railway auxiliary equipment, is a distant second at 25.4%, while subclasses tied to material testing (G01N) and digital data processing (G06F) sit under 7% each. Since a single record can carry multiple IPC classes, these percentages overlap rather than sum to 100%, and they describe claim density, not technology maturity.
US20220306169A1, filed by FNV IP B.V. and published 2022-09-29, describes a track monitoring system mounted to a rail vehicle that combines a position-and-attitude measurement unit, stored track geometry data, and a laser imaging or scanning unit to determine rail and surroundings position during a pass. A processor then derives track condition data from the combined inputs. The abstract in the record is truncated, so the specific claim boundaries — particularly around sensor fusion and processing steps — should be verified against the full claim set before relying on its scope for clearance work.
The clearest openings sit outside the crowded B61L traffic-control core, in subclasses like G01N material analysis (6.4% of records) and G06F data processing (5.1%), both far thinner than the 57.1% seen in traffic control. Specific technical branches worth checking include wheel-rail contact force sensing, traction-supply condition monitoring, and laser or LiDAR-based track geometry scanning. Because filing volume overall has fallen sharply since 2017, these under-claimed branches may also reflect reduced R&D investment rather than pure legal openness, so a technical feasibility check should accompany any freedom-to-operate search.
Go past this page: query the whole rail safety & monitoring patent landscape corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.