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CMOS Image Sensor Flexible Sensor Patents: Leaders & White Space 2026

CMOS Image Sensor Flexible Sensor Patents: Leaders & White Space 2026
https://www.patsnap.com/resources/blog/rd-blog/cmos-image-sensor-flexible-sensor-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Sensors & MEMS · Patent Landscape
CMOS Image Sensor Flexible Sensor Patents: Who Holds the Curved-Array Claims
  • Filings peaked in 2018 at 23 and have not returned to that level since the midpoint year (2022) logged just one filing, a pattern consistent with a technology that hit an early claiming wave rather than sustained build-out.
  • US filings dominate the receiving-office mix at 82 of the tracked records well ahead of PCT (21), EPO (17), South Korea (10), China (8) and Taiwan (6), pointing to a US-centred prosecution strategy for this niche.
  • H01L and H04N together anchor the IPC composition (130 and 105 records) while G06T and G06K image-processing classes sit far behind at 10 and 8, suggesting the processing side of curved/flexible sensing is comparatively unclaimed.
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171
Published Records
61%
Top-5 Share of All Records
0%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (3 records) with 2024 (3) — 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 171 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

Curved and flexible CMOS image sensors depart from the flat, rigid silicon that dominates conventional imaging: a pixel array is deformed, segmented, or grown on a non-planar substrate to match the curvature of a lens, reduce off-axis aberration, or fit into a conformable device housing. This landscape tracks patent families filed against that specific combination — image sensor terminology intersected with curved, flexible, conformable or bendable structural claims, restricted to the semiconductor-device and video-communication IPC classes where these designs are actually prosecuted.

The dataset spans 171 published families from 2015 through the 2026 cut-off. Because publication trails filing by roughly eighteen months, the last one to two years of the trend will always look thinner than they eventually turn out to be; treat the most recent bars as a floor, not a ceiling.

Filing activity by year, 2017–2026
  1. 1MICROSOFT TECHNOLOGY LICENSING LLC35
  2. 2BEIJING ZHIGU RUI TUO TECH20
  3. 3OMNIVISION TECHNOLOGIES INC20
  4. 4SK HYNIX INC16
  5. 5BEIJING ZHIGU TECH SERVICE13
  6. 6SEMICON COMPONENTS IND LLC7
  7. 7CARESTREAM HEALTH INC6
  8. 8FUNDACIO INST DE CIENCIES FOT NIQUES5
  9. 9HARVEST OPTOELECTRONICS INTELLIGENT TECHNOLOGY (YANGZHOU) CO LTD4
  10. 10FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV4
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on CMOS Image Sensor Flexible Sensor covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Numbers

Filing trend and technology composition

Two views of the same 171 families: how filing activity moved year over year, and which IPC subclasses carry the claim density.

A front-loaded filing curve

Activity opened at 15 families in 2017, climbed to a peak of 23 in 2018, then fell away — the midpoint year of 2022 recorded only a single filing. That shape reads as an early land-grab around curved-sensor fabrication rather than a technology still in an active build-out phase. Readers should treat the tail years as understated given publication lag, but the drop from 2018 levels is too large to be lag alone.

A front-loaded filing curve06131925152017232018201920202021202220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

Semiconductor structure outweighs image processing

H01L (semiconductor devices, 130 records) and H04N (pictorial communication, 105) carry the bulk of the claim density, with H10D adding a further 23 in the newer general semiconductor-device classification. G02B (optics, 21) trails behind, and the two image-processing classes — G06T (10) and G06K (8) — are comparatively thin. That imbalance suggests the physical fabrication of curved and segmented arrays is well-trodden ground, while algorithmic handling of the resulting non-planar image data is not.

Semiconductor structure outweighs image processingH01L · Semiconductor devices13076.0%H04N · Pictorial communication (video…10561.4%H10D · Semiconductor devices (general)2313.5%G02B · Optical elements & systems2112.3%G06T · Image data processing & genera…105.8%G06K · Data recognition & presentation84.7%H10P74.1%H10W74.1%Other3520.5%

Shares are the percentage of the 171 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on CMOS Image Sensor Flexible Sensor covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

The most-cited prior art in this space

Representative filing
US9349763B12016-05-24

US9349763B1 — Curved image sensor systems and methods for manufacturing the same

OMNIVISION TECHNOLOGIES, INC.

A method for manufacturing curved image sensor systems bonds a light-transmitting substrate to an image sensor wafer at elevated pressure, forming a hermetically sealed cavity over the pixel array, then thins the wafer to induce deformation of the array into a concave curve. The resulting system has an image sensor substrate with a concave light-receiving surface and a pixel array running along that curved surface.Filed by Omnivision Technologies, Inc., dated 2016-05-24 — a wafer-bonding and controlled-thinning route to a concave curved sensor.

US9349763B1 — patent drawing 1US9349763B1 — patent drawing 2
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Highest-citation records in the corpus
#Publication no.Patent titleCitations
1US6791072B1Method and apparatus for forming curved image sensor module115
2US20080151089A1Flexible segmented image sensor73
3US20160172393A1Curved image sensor, method for fabricating the same, and electronic device having the same61
4US7742090B2Flexible segmented image sensor59
5US20170041564A1Image sensor with non-local readout circuit and optoelectronic device comprising said image sensor42
6US20160086994A1Image Sensor Bending Using Tension42
7US20160044253A1Optical system for an image acquisition device39
8US9099604B2Image sensor with a curved surface38
9EP2306230A1Artificial compound eye and method for fabrication thereof23
10US20190018169A1Optical system comprising a curved image sensor21

Citation counts are drawn from the searched corpus only and skew toward older filings that have simply had longer to accumulate citations — read them as a signal of influence on subsequent filers, not as a ranking of current commercial relevance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on CMOS Image Sensor Flexible Sensor covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the citation and filing data signal

Reading the most-cited records alongside the filing curve points to where the foundational claims sit and what came after them.

Foundational art
115 citations
US6791072B1

One early patent anchors the field

US6791072B1, covering methods for forming a curved image sensor module, carries by far the highest citation count in the corpus. Its priority position means most later fabrication approaches — including wafer bonding, segmentation, and controlled deformation — are filed with awareness of this baseline.

Fabrication method claims
Segmentation route
73 + 59 citations
Two related families

Segmented-array design has independent staying power

The 'Flexible segmented image sensor' family appears twice among the most-cited records under related grants, indicating the segmented-tile approach to flexibility drew sustained attention separate from the single-curve wafer-bonding route.

Segmented pixel tiles
Filing shape
23 in 2018 → 1 in 2022
Peak-to-trough

A land-grab, not a build-out

The steep decline from the 2018 peak to a near-flat midpoint suggests core fabrication methods for curved and flexible arrays were staked out early, and later entrants have had a narrowing set of novel angles to file against.

Front-loaded activity
Processing gap
10 + 8 records
G06T + G06K combined

Downstream image processing is thinly claimed

Against 130 H01L and 105 H04N records, only 18 records combined sit in the two image-data-processing classes. Correcting distortion or recognition artifacts introduced by a curved or segmented array is not where the claim density is.

Comparatively open
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to cmos image sensor flexible sensor, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on CMOS Image Sensor Flexible Sensor covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who holds the ground, and where the gaps sit

The assignee ranking runs from a small number of multi-filing entities to a long tail of single-family entrants, with recent-year activity flat across the leaders tracked.

Leaderboard shape
0 in latest year
Across leading assignees

No leader is currently active

Every assignee tracked for recent-year momentum — spanning US, Chinese and Korean entities — shows zero filings in the latest year. Combined with the 2018 peak and the 2022 trough, this points to a mature claiming phase rather than an emerging competitive race.

Flat momentum
Geographic concentration
82 of 171
US receiving office

Prosecution is US-centred

Nearly half the corpus was filed through the US receiving office, with PCT, EPO, South Korea, China and Taiwan trailing well behind. A freedom-to-operate review for this technology should weight US prior art most heavily, but not exclusively.

US 82 / PCT 21 / EPO 17
Long tail
171 families
Total tracked

A long tail behind a handful of repeat filers

With 171 total families and recent-year filings flat across every tracked assignee, the field reads as dominated by a handful of early movers with the remainder filing once or twice around a specific fabrication variant.

Fragmented ownership
🔍
Under-claimed sub-areas worth checking before filing
These sit adjacent to the dense H01L/H04N core but show comparatively little claim activity in this corpus.
Distortion-correction algorithms for curved pixel arraysReadout circuit topologies for segmented sensor tilesConformable substrate bonding for non-silicon carriersCalibration methods for concave sensor curvature variance
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Recent-year filing momentum
AssigneeRecent yearYoY
Microsoft Technology Licensing, LLC0
OmniVision Technologies, Inc.0
Beijing Zhigu Ruituo Technology Services Co., Ltd.0
SK Hynix Inc.0
Beijing Zhigu Technology Services Co., Ltd.0
Semiconductor Components Industries, LLC (ON Semiconductor)0
FotoNation Limited0
Carestream Health, Inc.0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on CMOS Image Sensor Flexible Sensor covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this research

This landscape identifies the shape of the field. Turning it into a filing or freedom-to-operate decision means going deeper on the specific claims that matter to your design.

Check claim scope on the highest-citation records

Before filing around curved or segmented array fabrication, read the independent claims of the most-cited records directly rather than relying on the abstract — citation count reflects influence, not necessarily breadth.

Explore claims in Eureka →

Map the image-processing gap in detail

The thin G06T/G06K activity relative to H01L/H04N suggests downstream processing of curved-array output is comparatively open, but that needs confirming against the specific correction or recognition method you have in mind.

Run a white space search in Eureka →
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on CMOS Image Sensor Flexible Sensor covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on CMOS Image Sensor Flexible Sensor covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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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.

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