Multi-Camera Recalibration Detection Using 3D Coordinate Drift
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Solution Overview
Problem
Camera-based positioning systems face challenges in maintaining accurate and reliable operation due to disturbances such as mechanical shifts, environmental factors, and lens contamination, which can degrade image quality and impact the system's ability to capture clear visual data, leading to costly and time-consuming troubleshooting.
Innovation Solution
An electronic device that obtains image data from multiple image sensors, generates three-dimensional coordinates, determines recalibration parameters based on these coordinates, and provides alert messages when recalibration is needed, allowing for remote detection and adjustment of sensor settings without physical interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If camera-based positioning systems are deployed in diverse environments, then the coverage and applicability of the system is improved, but the system becomes more susceptible to disturbances such as mechanical shifts, environmental factors, and lens contamination
Solution Approach 1:
The system performs preliminary calibration to establish baseline parameters before deployment, and continuously monitors deviations from these baselines. This allows the system to adapt to diverse environments while maintaining reliability by detecting and alerting to calibration drift before it significantly impacts accuracy.
Solution Approach 2:
The system implements continuous feedback monitoring by comparing real-time image data against calibrated reference models. When deviations exceed thresholds, the system generates alerts for recalibration, creating a closed-loop feedback mechanism that maintains system reliability across diverse environments without requiring constant manual intervention.
2Measurement precision
If multiple image sensors are used to improve positioning accuracy, then the measurement precision is improved, but the complexity of detecting and diagnosing recalibration needs increases
Solution Approach 1:
The system introduces an intermediary processing layer that automatically analyzes image data from multiple sensors, compares it against calibration models, and determines recalibration needs. This intermediary layer simplifies the detection process by automating the analysis that would otherwise require complex manual diagnostics across multiple sensors.
Solution Approach 2:
The system performs self-diagnosis by automatically monitoring its own calibration status through image data analysis. The electronic device independently determines when recalibration is needed without requiring external diagnostic tools or expert intervention, reducing the complexity of recalibration detection while maintaining high positioning accuracy from multiple sensors.
3Ease of operation
If remote detection of recalibration needs is implemented, then the ease of operation and maintenance is improved, but the loss of time for troubleshooting may increase due to delayed physical intervention
Solution Approach 1:
The system performs preliminary and continuous calibration monitoring remotely, detecting recalibration needs before they significantly impact system performance. By identifying issues early through automated image analysis, the system reduces the overall troubleshooting time despite the remote nature of detection, as problems are caught before they escalate.
Solution Approach 2:
The system implements immediate feedback through automated alerts that notify operators of recalibration needs in real-time. This feedback mechanism eliminates delays by automatically communicating system status and required actions, ensuring that while remote monitoring is implemented, the response time for addressing issues remains minimal through proactive notification systems.
Data Source
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AI summary
An electronic device is disclosed. The electronic device comprises memory circuitry, an interface and processor circuitry. The electronic device is configured to obtain image data from a plurality of image sensors, wherein the image data comprises a plurality of two-dimensional coordinates associated with a set of respective objects. Optionally, at least two image sensors of the plurality of image sensors have an overlapping area of their fields of view. The electronic device is configured to generate, based on the image data, three-dimensional coordinates associated with the set of respective objects. The electronic device is configured to determine, based on the three-dimensional coordinates, a recalibration parameter. Optionally, the recalibration parameter is indicative of a need for recalibration of at least one of the plurality of image sensors. The electronic device is configured to control, based on the recalibration parameter, provision of an alert message.