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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →This landscape tracks patent families at the intersection of CMOS image sensor hardware and the simulation techniques used to model it: pixel-level simulation, optical crosstalk modeling, device TCAD, and quantum efficiency modeling. The search combines sensor-hardware terms with modeling-specific claim language and restricts results to H01L27/146, G06F30, and H04N25, which isolates simulation and modeling claims from the much larger body of general image-sensor hardware patents.
The set is small — 44 published families over an eleven-year window — which makes single-year swings and single-assignee moves visible in a way they would not be in a larger corpus. Publication lags filing by roughly 18 months, so the last one to two years in any filing-trend chart will always look thinner than they eventually turn out to be.
Pick a task. Every answer cites the patents behind it.
Two views of the same 44-family dataset: when the filings happened, and which IPC subclasses carry the claims.
Filings ran to 32 in 2017, the peak year for this dataset, then fell toward flat by the 2022 midpoint and stayed there through the most recent recorded years. That pattern reads as a burst of early claim-staking around pixel and crosstalk simulation methods followed by a much quieter period, rather than a steadily growing field.
H04N (pictorial communication) appears in 42 of 44 records and G06T (image data processing) in 28, while H01L (semiconductor devices) appears in only 11. G01S and G06K each appear once or twice. The claim weight sits on how sensor output is processed and simulated in software, not on the physical pixel structure itself.
Shares are the percentage of the 44 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 cmos image sensor simulation and modeling and every answer comes back with the patent numbers behind it.
Try EurekaThe patent describes controlling an image sensor to output a combination image, checking its brightness against a preset threshold, and branching processing accordingly: converting to a combination true-color image below threshold, or routing through a color-block image and simulation image path above threshold, ultimately producing a simulation true-color image.Assigned to Guangdong OPPO Mobile Telecommunications, published 2019-04-16.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US6253161B1 | Integrated motion vision sensor | 165 |
| 2 | US20180150937A1 | Image processing method and apparatus, and electronic device | 10 |
| 3 | US20180152632A1 | Image processing method and apparatus, and electronic device | 9 |
| 4 | US20180150936A1 | Image Processing Method And Apparatus, And Electronic Device | 9 |
| 5 | US20180152685A1 | Image processing method and apparatus, and electronic device | 9 |
| 6 | US10110809B2 | Control method and apparatus, and electronic device | 7 |
| 7 | US20180150932A1 | Image processing method and apparatus, and electronic device | 6 |
| 8 | US10165205B2 | Image processing method and apparatus, and electronic device | 4 |
| 9 | US20190087934A1 | Image processing method and apparatus, and electronic device | 3 |
| 10 | US20190087935A1 | Image processing method and apparatus, and electronic device | 3 |
Citation counts favour older records simply because they have had more time to accumulate citations inside the searched corpus — treat this as a signal of influence on the field, 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 signals worth acting on before drafting or clearing claims in this space.
The dataset's single largest filing year, 2017, is now nearly a decade old. Activity fell to flat by the 2022 midpoint and has not recovered. A new entrant is not walking into a crowded, actively contested field — it is walking into ground staked out early and then largely abandoned.
H04N and G06T together dominate the IPC composition while H01L, the semiconductor-device class, appears in fewer than a quarter of records. Anyone assuming device-level TCAD work is the crowded area is looking in the wrong place — the denser claim territory is image and signal processing built around the sensor.
United States receiving-office filings account for the majority of the dataset, with Europe a distant second and Canada, India and Austria appearing only a handful of times. Freedom-to-operate work outside the US and EPO in this niche has comparatively little prior art to clear against.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to cmos image sensor simulation and modeling, with the prior art for and against each one.
Recent-year momentum is thin across the board — the two most visible assignees in the current tracking window both show zero filings in the latest year, consistent with the overall decline after 2017.
OPPO's representative filing in this set, US10264178B2, covers brightness-threshold-driven switching between true-color and simulation-image processing paths for a mobile image sensor. Despite being one of the more visible assignees historically, the company shows no filings in the most recent tracked year.
Universite Laval appears among the assignees tracked for recent momentum but likewise records zero filings in the latest year, suggesting its contribution to this dataset sits earlier in the 2015-2026 window rather than at the current edge.
US6253161B1, an integrated motion vision sensor patent, is cited 165 times within this corpus — far ahead of any other record, where the next tier sits closer to 9-10 citations. That gap marks it as a foundational reference point rather than a currently contested claim.
| Assignee | Recent year | YoY |
|---|---|---|
| Guangdong OPPO Mobile Telecommunications Corp., Ltd. | 0 | — |
| Universite Laval | 0 | — |
The filing trend and IPC composition point to specific next steps depending on whether the goal is clearance, drafting, or monitoring.
Because the peak filing year is nearly a decade behind the current date, claims from that cohort are approaching key maturity milestones. A clearance search should specifically date-check the 2017 filings rather than assuming recency risk sits in later years.
Run a clearance search in EurekaWith only 11 of 44 records touching semiconductor-device claims, device-level TCAD and quantum efficiency modeling claims tied to specific pixel geometries remain comparatively open relative to the crowded H04N/G06T processing space.
Explore white space in EurekaFlat filing since the 2022 midpoint does not mean the field is closed — it may mean assignees are waiting on downstream sensor generations. Set an alert on the core IPC classes to catch the next filing wave early.
Set a monitoring alert in EurekaIn this dataset, it is a patent family that combines CMOS image sensor or CMOS imager hardware language with modeling-specific claim terms such as pixel simulation, optical crosstalk modeling, device TCAD, or quantum efficiency modeling, and falls within IPC classes H01L27/146, G06F30, or H04N25. That combination separates simulation and modeling claims from the much larger body of general image-sensor hardware patents that do not address modeling methods at all. A patent describing only sensor fabrication without a modeling or simulation claim would not be captured here.
The dataset shows 32 filings in 2017, the single largest year across the 2015-2026 window, followed by a drop to flat activity by the 2022 midpoint. This pattern is consistent with an early burst of claim-staking around pixel and crosstalk simulation methods, likely tied to a particular generation of mobile and consumer sensor designs, followed by assignees either exhausting the obvious claim space or shifting effort elsewhere. Because publication lags filing by roughly 18 months, the very latest years in the chart will understate true activity, but the 2022-onward flatness is too sustained to be explained by lag alone.
The two assignees tracked for recent-year momentum in this dataset, OPPO and Universite Laval, both show zero filings in the latest tracked year, which reflects the broader post-2017 decline in filing activity across the whole set. That does not mean the underlying technology is abandoned; the smartphone and imaging industry cycles hardware generations regularly and simulation claims can resurface with each new sensor design. A monitoring alert on the core IPC classes is the more reliable way to catch new activity than relying on any single assignee's historical filing pattern.
The evidence suggests yes, relatively speaking: H01L, the semiconductor-device IPC class, appears in only 11 of the 44 records in this dataset, compared to 42 for H04N and 28 for G06T. Most of the claim density sits in image and signal processing built around sensor output rather than in device physics or pixel-geometry simulation itself. That imbalance points to device TCAD and quantum efficiency modeling tied to specific pixel structures as comparatively under-claimed ground, though any drafting decision should be confirmed with a targeted clearance search rather than this composition figure alone.
US10264178B2, assigned to Guangdong OPPO Mobile Telecommunications and published 2019-04-16, covers a specific control flow: outputting a combination image from an image sensor, comparing its brightness to a preset threshold, and branching into either a true-color conversion path or a color-block-to-simulation-image conversion path depending on that comparison. It blocks that particular brightness-gated branching architecture for producing a simulation true-color image, not image-sensor simulation broadly. Designs that use a different triggering condition than a brightness threshold, or that do not route through a color-block intermediate image, sit outside its literal claim scope, though a full design-around analysis needs the granted claim language rather than the abstract alone.
Go past this page: query the whole cmos image sensor simulation and modeling corpus yourself, in your own scope.
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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.