Imaging Actuator Recalibration for Autofocus and OIS Drift

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Solution Overview

Problem

Performance degradation of autofocus and optical image stabilization actuators in imaging devices over time, particularly due to environmental exposure and outdated system control algorithms, leads to subpar image quality.

Innovation Solution

In-field recalibration processes for actuators and lenses using a system with processors, DACs, and sensors to generate recalibration data based on displacement measurements, aligning performance characteristics with predefined calibration data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If actuators are used in imaging devices for autofocus and optical image stabilization, then imaging performance is improved, but actuator performance degrades over time due to environmental exposure and system control algorithms

Engineering Contradiction:
Improveactuator performanceVSAvoidactuator lifespan
Core Design Contradiction:
ReliabilityVSDuration of action of stationary object

Solution Approach 1:

The patent implements dynamic recalibration of actuator performance parameters during the device operational lifetime. The system continuously monitors actuator behavior and updates calibration data to compensate for degradation, transforming the static calibration approach into a dynamic adaptive system that maintains reliability throughout the actuator's lifespan

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes actuator control parameters based on measured performance degradation. By adjusting calibration parameters such as drive signal amplitudes, frequencies, and phase relationships, the system compensates for actuator aging effects and environmental influences, maintaining optimal imaging performance without replacing the actuator

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If factory-defined calibration data is used in actuator drivers, then initial imaging performance is achieved, but performance degrades as actuators drift from calibration specifications

Engineering Contradiction:
Improveinitial calibration accuracyVSAvoidlong-term performance consistency
Core Design Contradiction:
Manufacturing precisionVSReliability

Solution Approach 1:

The patent implements feedback mechanisms that continuously monitor actual actuator performance and compare it against expected behavior. The system uses this feedback information to detect drift from factory calibration and triggers recalibration procedures, creating a closed-loop system that maintains manufacturing precision levels throughout the product lifecycle

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary recalibration actions before significant performance degradation occurs. By monitoring early signs of actuator drift and proactively initiating recalibration sequences, the system prevents accumulation of performance errors and maintains consistent imaging quality without waiting for noticeable degradation

Inventive Principle:
Principle #10Preliminary action

3Reliability

If in-field recalibration is implemented to restore actuator performance, then imaging quality is improved, but device complexity and calibration process time increase

Engineering Contradiction:
Improverestored imaging performanceVSAvoidrecalibration system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements self-service recalibration capabilities where the imaging device performs its own calibration without requiring external equipment or specialized tools. The system uses built-in sensors, test patterns, and automated analysis algorithms to conduct calibration procedures, eliminating the need for complex external calibration equipment and reducing service complexity

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements periodic recalibration at predetermined intervals based on usage conditions, time elapsed, or detected performance thresholds. This structured approach to recalibration optimizes the balance between maintaining performance and managing complexity by performing calibration only when necessary, rather than continuously or on fixed schedules regardless of need

Inventive Principle:
Principle #19Periodic action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Restores imaging device performance by aligning in-field performance with factory-defined standards, improving autofocus precision and image stabilization.

Implementation Method 1

causing the DAC to provide the actuator a plurality of drive signals... Each drive signal of the plurality of drive signals causes the actuator to apply a respective force on the imaging-device element

Methodology Applied
Scientific EffectElectromagnetic force: Lorentz Force

Data Source

PatentUS20260082130A1In-field actuator calibration for imaging devices with autofocus and/or optical image stabilization
Publication Date: 2026.03.19 META PLATFORMS TECHNOLOGIES LLC
  • US20260082130A1 patent drawing
  • US20260082130A1 patent drawing
  • US20260082130A1 patent drawing

AI summary

Systems and method for calibrating an imaging device are disclosed. A method is performed by a system including a processor communicatively coupled with an imaging device including an imaging-device element, an actuator coupled with the imaging-device element, and a digital-to-analog converter (DAC). The actuator is associated with predefined calibration data that causes the imaging device to achieve a performance characteristic. The method includes, in accordance with a determination that imaging-device recalibration criteria are satisfied, causing the DAC to provide the actuator a plurality of drive signals. Each drive signal of the plurality of drive signals causes the actuator to apply a respective force on the imaging-device element. The method includes obtaining displacement data corresponding to changes to the performance characteristic of the imaging device, generating recalibration data based on the displacement data, and associating the actuator with the recalibration data such that the imaging device achieves the performance characteristic.