Camera Positioning Device Dynamic Calibration
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Solution Overview
Problem
Existing location positioning systems using visible light face accuracy declines due to external factors like earthquakes and aging, requiring frequent recalibration when camera placement conditions shift, which disrupts on-site work.
Innovation Solution
A location positioning device that includes a communication device and a processor to detect changes in the camera's imaging direction using captured images with markers, allowing for continuous location data acquisition without returning the camera to its initial direction, thus eliminating the need for recalibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera is recalibrated to restore location detection accuracy, then measurement precision is improved, but productivity deteriorates due to extended system stoppage
Solution Approach 1:
The system performs preliminary calibration to establish initial camera parameters and stores reference image data. When imaging direction changes occur, the system uses this pre-stored reference data to detect shifts and calculate correction values, enabling continuous operation without full recalibration stoppages
Solution Approach 2:
The system continuously monitors the imaging direction using markers and compares current images with reference images. When deviations are detected, correction values are automatically calculated and applied to maintain location detection accuracy without requiring system stoppage for manual recalibration
2Measurement precision
If the camera placement conditions are maintained strictly, then measurement precision is improved, but adaptability deteriorates due to inability to handle external factors like earthquakes and aging
Solution Approach 1:
The system transitions from static calibration to dynamic adaptation by continuously detecting imaging direction changes and automatically calculating correction values. This allows the system to adapt to external factors such as earthquakes and aging while maintaining measurement precision through real-time adjustments
Solution Approach 2:
The system changes the camera parameters (imaging direction, position) from fixed initial values to dynamically adjusted values based on detected shifts. By continuously updating correction values based on marker positions and image comparisons, the system maintains accuracy despite parameter changes caused by external factors
3Measurement precision
If the camera imaging direction is returned to the first direction after change, then measurement precision is improved, but loss of time increases due to additional calibration operations
Solution Approach 1:
The system replaces the mechanical approach of physically returning the camera to its initial direction with a computational solution. By calculating correction values based on detected imaging direction changes and applying these computationally, the system achieves the same precision improvement without the time-consuming mechanical realignment process
Data Source
AI summary
A location positioning device for a moving body acquires, via a communication device, a captured image from a camera in which an imaging direction has changed from a first direction to a second direction, the captured image including at least one marker disposed in space and at least one moving body that moves in the space, detects, based on the captured image and initial data, a change of the imaging direction from the first direction to the second direction, and acquires, based on the captured image, location data of the at least one moving body without returning the imaging direction of the camera in a real world to the first direction from the second direction.