Railway Switch Machine Detection Patents: Top Companies & Trends 2026
A data-backed look at railway switch machine train detection patents: who holds the ranked leaders' share, how filing has trended since 2017, which IPC subclasses carry the claim density, and where the white space sits.
Top-5 share = the 5 largest assignees ÷ all 60 records in scope (CR5), not the ranked leaders only.
What this patent set covers
Railway switch machine train detection sits at the intersection of point-position sensing and traffic-control logic: the switch machine reports whether its points are locked and in the correct position, and that signal feeds directly into B61L railway traffic control systems. Every one of the 60 records in scope carries a B61L classification, which tells you the field is defined by the control-and-safety function rather than by mechanical actuator design. Secondary classes — testing and balance equipment, auxiliary railway gear, track hardware, general measurement, and alarm signalling — each touch only a small slice of the same 60 records, appearing as adjuncts to the core detection claim rather than as separate sub-fields.
The assignee ranking is short and top-heavy: sixteen companies appear in it at all, and the leader alone accounts for a third of the total. Filing activity peaked in 2019 and has tapered since, though the most recent years are understated because publication typically lags filing by around 18 months. The most-cited records in the set are all point-detection patents from the same family lineage, which is a strong signal that the foundational claim language in this space was established early and has been cited forward ever since.
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Filing trend and technology composition
Two views of the same 60 records: when filings happened, and which IPC subclasses carry the claims.
Filing trend, 2017–2026
Filings opened this window at 8 in 2017, climbed to a peak of 9 in 2019, and have since declined toward single digits, reaching 1 in 2026 (a partial year). With fewer than four complete years remaining once the roughly 18-month publication lag is accounted for, a growth rate cannot be stated reliably from this trend alone.
IPC subclass distribution
B61L (railway traffic control) covers 100.0% of the 60 records — effectively the defining classification for this search. G01M (testing and structure balance) trails at 10.0%, with B61K, E01B, G01D and G08B each appearing in only one or two records. Because a single record can carry more than one class, these shares add up to more than 100% and should be read against the 60-record total, not against each other.
Shares are the percentage of the 60 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Railway Switch Machine Train Detection Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about railway switch machine train detection patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited records
System and method for early detection of switch-drive failures (EP3024711B1)
This Hitachi Rail STS filing targets failure prediction on the switch drive itself, ahead of the point-detection signal that downstream traffic-control systems rely on. It sits closer to condition monitoring than to the point-position detection claims that dominate the most-cited records in this set, marking out an adjacent but distinct claim territory.Abstract paraphrased from the original filing for readability.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US6296208B1 | Railway switch machine point detection system | 39 |
| 2 | US6186448B1 | Captivity point detection system with single switch position target | 32 |
| 3 | US20180093682A1 | Electronic circuit controller for railway switch machine, railway switch machine and railway switching system… | 16 |
| 4 | US20010054670A1 | Railway switch machine point detection system | 14 |
| 5 | US6382567B2 | Railway switch machine point detection system | 13 |
| 6 | CN105235715A | 一种在线检测一体化转辙机和监控方法 | 10 |
| 7 | CN102951183A | 基于线阵图像传感器的转辙机表示缺口位移监测装置 | 9 |
| 8 | US3696244A | Power operated railway switch machine control circuit | 9 |
| 9 | CN108909771A | 铁路道岔转辙机行程检测记录系统 | 8 |
| 10 | US20150028164A1 | System and method for identifying point detection calibration prior to point detector lock-out and switch mac… | 6 |
Ranked by citation count within this 60-record set; older filings accumulate citations simply by being available longer, so treat this as a signal of influence rather than of current commercial weight.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.
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Browse MCP servers →What the numbers mean for a filing decision
Four figures from this dataset that change where you would file, cite, or design around existing claims.
Leadership is narrow, not fragmented
Five assignees account for 76.7% of the 60 records in scope, and the top 10 reach 91.7%. That leaves only a handful of records outside the ranked leaders, which means a new entrant is filing directly into occupied claim space rather than into an open field with many small players.
One subclass defines the field
Every record in this set is classified under B61L, railway traffic control. Secondary classes such as G01M testing equipment reach only 10.0% of records, confirming that train-detection claims are drafted and examined primarily as control-system safety logic, not as sensor or mechanical hardware.
Activity has cooled since its peak
Filings ran at 8 in 2017 and peaked at 9 in 2019, then declined toward single digits through the most recent years. The tail end of the trend understates true activity because publication lags filing by roughly 18 months, so 2025 and 2026 figures will revise upward as later publications land.
Foundational point-detection claims still anchor citation counts
The most-cited records in this set are point-detection patents rather than recent filings, with the leading record cited 39 times. High citation counts here reflect age and availability inside the corpus more than current commercial relevance, so use them to trace lineage, not to rank today's leaders.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to railway switch machine train detection patent landscape, with the prior art for and against each one.
Where to take this analysis
The dataset points to a narrow field with an early-established core claim and a thin set of secondary branches worth checking before filing.
Map the point-detection claim lineage
Trace how the earliest most-cited patents' language has propagated through later filings from the same and competing assignees, to see exactly what is still enforceable.
Explore in EurekaCheck the secondary IPC branches for openings
G01M, B61K, E01B, G01D and G08B each touch only a handful of records — worth a closer look before assuming the whole field is occupied.
Run a white space searchWatch the co-assignee pairings
The strongest co-assignee pair in this set links two related corporate entities, a pattern worth monitoring for joint filing strategy in adjacent markets.
See collaboration signalsCommon questions about this field
The assignee ranking for this field lists 16 companies, and it is a top-heavy list: the top 5 hold 76.7% of the 60 records in scope, and the top 10 hold 91.7%. The single leading assignee alone accounts for 20 of the 60 records, well ahead of the rest of the ranking. This means the field has a small number of entities with deep filing histories rather than many companies each holding a handful of patents, so freedom-to-operate work should start with the ranked leaders rather than a broad search across many small filers.
Filings opened the tracked window at 8 in 2017, rose to a peak of 9 in 2019, and have declined toward single digits since, with only 1 recorded so far in 2026, a partial year. Because patent publication typically lags filing by around 18 months, the most recent two or three years in any trend chart understate true filing activity and will revise upward as later publications appear. With fewer than four complete years of data remaining after accounting for that lag, a reliable growth rate cannot be stated from this trend alone.
Every one of the 60 records in scope is classified under B61L, railway traffic control, which is effectively the defining classification for this search. A smaller share, 10.0% of records, also carry G01M for testing and structure balance equipment, and single-digit counts appear under B61K (railway auxiliary equipment), E01B (railway track), G01D (general measurement) and G08B (signalling and alarms). Because a record can carry more than one class, these percentages add up to more than 100% and should each be read against the 60-record total rather than against one another.
The most-cited records in this dataset are all point-detection patents, led by US6296208B1 with 39 citations and US6186448B1 with 32. High citation counts inside a searched corpus like this one tend to favour older records simply because they have had more time to accumulate citations, not because they are necessarily the most commercially important claims today. They are best read as markers of foundational claim language and lineage — a useful starting point for freedom-to-operate research, not a ranking of current market strength.
The clearest signal of white space is in the secondary IPC classes: G01M testing and balance equipment appears in only 10.0% of the 60 records, and B61K, E01B, G01D and G08B each touch just one or two records. That is a narrow footprint relative to the 100.0% coverage of core B61L traffic-control claims, suggesting that detection approaches tied to structural testing, auxiliary equipment integration, or alarm signalling are comparatively under-claimed. A first claim there would likely combine the established point-position detection logic with one of these adjacent functions, rather than compete directly on core traffic-control language.
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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.