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IPC Subgroup
G06V 20/9

Identifying an image sensor based on its output data

Introduced: January 2022

Full Title

Scenes; Scene-specific elements > Identifying an image sensor based on its output data

Classification Context

Section:
PHYSICS
Class:
COMPUTING OR CALCULATING; COUNTING
Subclass:
IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

Filing statistics

IPC G06V 20/9 belongs to the parent subclass G06V, which recorded 380,096 patent applications worldwide between 2013 and 2023. Annual filings grew from 4,213 in 2013 to 101,211 in 2023 (+2302%). The most active applicants in class G06 are SAMSUNG ELECTRONICS COMPANY (66,669 applications), IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) (62,313 applications) and MICROSOFT TECHNOLOGY LICENSING (41,918 applications).

Source: EPO PATSTAT, worldwide filings

Additional Content

fixed pattern noise (FPN) fixed pattern noise FPN additive noise caused by dark currents when the sensor array is not exposed to light hardwaremetry process of searching for characteristic features for identifying an image sensor photo response non-uniformity (PRNU) photo response non-uniformity PRNU major source of noise caused when pixels have different light sensitivities caused by the inhomogeneity of silicon wafers SNR Signal-to-noise ratio

Top Applicants

Top 10 applicants by patent filingsfor class G06, 2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 66,669
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,313
  3. MICROSOFT TECHNOLOGY LICENSING US 41,918
  4. GOOGLE US 32,969
  5. SGCC(STATE GRID CORPORATION OF CHINA) 30,822
  6. INTEL CORPORATION US 30,010
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 28,235
  8. HUAWEI TECHNOLOGIES COMPANY CN 26,079
  9. APPLE US 21,891
  10. HUAWEI TECHNOLOGIES COMPANY 20,505