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How Aircraft Automatically Adjust Exterior Lights Using Computer Vision

An automated system for airplanes that turns on landing and taxi lights based on altitude and uses AI to adjust brightness depending on real-time visibility conditions.

Granted 2024ActiveExpires 2042Owned by Goodrich CorpInvented by Anisha Reddy Pendeyala, Bhavya Chunchu

Original patent title: “Automated pilot visibility lights

Plain-English explanation by SahiLast reviewed · June 15, 2026

An automated system for airplanes that turns on landing and taxi lights based on altitude and uses AI to adjust brightness depending on real-time visibility conditions. Granted to Goodrich Corp in 2024 with 21 claims and 1 forward citation.

Key facts

Patent numberUS 11919658
StatusActive
FieldAI & Machine Learning
AssigneeGoodrich Corp
InventorsAnisha Reddy Pendeyala, Bhavya Chunchu
Filed2022
Granted2024
Claims21
Times cited1
LitigationNone on record
Value · $42K$135KMinimal

Coverage

What does this patent actually cover?

This patent describes a system that manages an aircraft's exterior lights, such as landing or taxi lights, without requiring a pilot to flip switches. It uses a controller to monitor the plane's altitude; once the plane is below a certain height, the system automatically activates the lights. To ensure the lights are effective, the system captures images from exterior cameras and feeds them into a trained machine learning model. This model classifies the current visibility (e.g., fog, rain, or clear) and automatically adjusts the intensity of the light output to maximize visibility for the pilot.

The gap

What does this patent NOT cover?

  • Does not cover manual control of lights by a pilot.
  • Does not cover systems that rely solely on GPS or weather station data without using image classification.
  • Does not cover lighting systems that only toggle on/off without adjusting the magnitude of the light output.
  • Does not cover interior cabin or cockpit lighting.

These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.

What made this novel

The system uses a 'max-magnitude' logic: if the AI processes multiple images, it automatically selects the visibility classification that results in the brightest light output, ensuring the pilot always has the best possible view.

Automated pilot visibility lig…(Primary claim)aerospaceai mlmechanical

Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.

Where you've seen this

Real-world examples

01

Automated landing light activation during final approach

02

Dynamic taxi light dimming or brightening based on runway fog density

03

Runway turnoff light adjustment during low-visibility ground operations

Why it matters

The bigger picture

Managing aircraft lighting during taxiing and takeoff is a routine but critical task that can distract pilots during high-workload phases of flight. By automating this, the system reduces human error and ensures optimal lighting conditions in varying weather, which is essential for safety on busy runways and during low-visibility operations.

Filed

March 30, 2022

Granted

March 5, 2024

Market context

Who's building on this

Companies in this space

Goodrich Corp (a subsidiary of Collins Aerospace/RTX) is the primary assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →. Major aerospace manufacturers and avionics suppliers like Honeywell and Garmin are actively integrating similar computer vision and automated flight deck systems to reduce pilot workload.

Market impact

This patent represents a shift toward 'smart' avionics where sensor-driven AI replaces manual checklists. It enables manufacturers to offer advanced safety features that comply with increasing automation requirements in modern commercial and regional aircraft.

Claim 1 — Plain English

What this patent covers

This patent describes a system that manages an aircraft's exterior lights, such as landing or taxi lights, without requiring a pilot to flip switches. It uses a controller to monitor the plane's altitude; once the plane is below a certain height, the system automatically activates the lights. To ensure the lights are effective, the system captures images from exterior cameras and feeds them into a trained machine learning model. This model classifies the current visibility (e.g., fog, rain, or clear) and automatically adjusts the intensity of the light output to maximize visibility for the pilot.

The clever bit

The system uses a 'max-magnitude' logic: if the AI processes multiple images, it automatically selects the visibility classification that results in the brightest light output, ensuring the pilot always has the best possible view.

What it does not cover

  • Does not cover manual control of lights by a pilot.
  • Does not cover systems that rely solely on GPS or weather station data without using image classification.
  • Does not cover lighting systems that only toggle on/off without adjusting the magnitude of the light output.
  • Does not cover interior cabin or cockpit lighting.

Patent timeline

Filing

Application submitted to the patent office

Publication

Application published, typically 18 months after filing

Grant

Patent officially issued

PatentBrief Score

Impact Score

Moderate

Citation count

6/40

Early citations

Claim breadth

14/20

Broad claimsclaimsThe numbered statements at the end of a patent that legally define what the inventor owns.Read more →

Recency

20/20

Granted within 5 years

Assignee scale

0/20

Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →

PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.

Heuristic Value Estimate

What this patent might be worth

Minimal

$42K$135K

Midpoint $84K · 15.8 yr remaining · industry ×0.9

Adjust inputs →

Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.

The original legal language

Original claims

21 claims as filed with the patent office.

Concepts involved

ClaimPrior artNon-obviousnessNoveltySpecificationAssigneePatent term

Citations

Patent lineage

Cites earlier patents

19

earlier patents this invention cites as foundations

View prior art →

Cited by later patents

1

later patents that build on this invention

View patents →

Cite this patent

Pendeyala, A. R., & Chunchu, B. (2024). How Aircraft Automatically Adjust Exterior Lights Using Computer Vision (U.S. Patent No. 11,919,658). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/11919658/starship-payload-bay

Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.

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Common Questions

Frequently Asked Questions

What does How Aircraft Automatically Adjust Exterior Lights Using Computer Vision cover?

An automated system for airplanes that turns on landing and taxi lights based on altitude and uses AI to adjust brightness depending on real-time visibility conditions.

Who owns patent US 11919658?

Goodrich Corp owns this patent, granted in 2024.

When does this patent expire?

This patent is expected to expire on March 5, 2044, when the invention enters the public domain.

What is patent US 11919658 cited by?

This patent has been cited by 1 later patents that build on its ideas.

What problem does this patent solve?

Managing aircraft lighting during taxiing and takeoff is a routine but critical task that can distract pilots during high-workload phases of flight. By automating this, the system reduces human error and ensures optimal lighting conditions in varying weather, which is essential for safety on busy runways and during low-visibility operations.

What does this patent NOT cover?

Does not cover manual control of lights by a pilot.

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Last reviewed: June 15, 2026 · PatentBrief is not a law firm and this is not legal advice.