Multi-Camera Focus Calibration via Dynamic Sensor Feedback
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Solution Overview
Problem
Existing imaging devices with multiple camera sensors face challenges in maintaining precise focus due to static calibration data, which cannot account for aging sensors, temperature variations, and device orientation changes, leading to misalignment and reduced image clarity over time.
Innovation Solution
A method and system for dynamically calibrating multiple camera sensors in a device by determining focus adjustments based on differences in focus settings, environmental data such as temperature, and orientation, using a processor and sensors to store and update calibration data in real-time, allowing for adaptive focus adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static calibration data is used during manufacturing, then manufacturing time is reduced, but focus precision deteriorates over time due to sensor aging and environmental changes
Solution Approach 1:
The patent implements dynamic calibration by continuously monitoring focus settings of multiple camera sensors and automatically adjusting calibration data based on detected focus differences. This transforms the static calibration approach into a dynamic system that adapts to sensor aging and environmental changes, maintaining focus precision without requiring repeated manufacturing interventions.
Solution Approach 2:
The system incorporates feedback mechanisms by monitoring the actual focus settings of camera sensors during operation and comparing them against calibration data. When focus differences exceed thresholds, the system automatically triggers recalibration, creating a closed-loop feedback system that maintains precision over the device lifecycle.
2Manufacturing precision
If multiple calibrations are performed at different temperatures and orientations, then focus precision across environmental conditions is improved, but manufacturing complexity and cost increase
Solution Approach 1:
The patent enables the imaging device to perform self-calibration during normal operation by detecting focus differences between sensors and automatically adjusting calibration parameters. This eliminates the need for complex manufacturing processes that would require calibrating at multiple temperatures and orientations, as the device adapts to its specific operational conditions in real-time.
Solution Approach 2:
The system dynamically adjusts calibration parameters based on detected focus differences and operational conditions. Rather than pre-calibrating for all possible temperature and orientation conditions, the system modifies calibration data in response to actual focus drift, effectively adapting to environmental changes without requiring comprehensive pre-testing.
3Measurement precision
If piezo electric motors are used to control focus position, then focus adjustment precision is improved, but reliability deteriorates over time as motors lose efficiency
Solution Approach 1:
The system continuously monitors the actual focus positions of multiple camera sensors and detects drift caused by motor efficiency degradation. When focus differences exceed predetermined thresholds, the system triggers automatic recalibration, creating a feedback loop that compensates for motor aging and maintains precision despite declining motor performance.
Solution Approach 2:
The patent replaces reliance on mechanical motor precision with a software-based calibration system that detects and corrects focus drift through image analysis and computational adjustment. This substitutes the deteriorating mechanical control system with a more reliable digital correction mechanism.
Data Source
AI summary
Present embodiments contemplate systems, apparatus, and methods to calibration a multi camera device. Particularly, present embodiments contemplate initiating a calibration of multiple cameras in response to a predetermined event. A calibration records current environmental conditions along with the sensor positions of each camera when focused. By recording a plurality of calibration points under a variety of imaging and environmental conditions, a more accurate synchronization of the multiple cameras' focus positions can be achieved.