Camera Positioning System Using Imagery Processing
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Solution Overview
Problem
Existing camera installation and maintenance techniques are inefficient due to variations in camera positioning factors, leading to suboptimal imaging and complex, labor-intensive processes, especially when deviations from installation rules occur.
Innovation Solution
A processor-based system determines the current and recommended camera positions relative to a road, allowing for adjustments while maintaining constant height and lateral distance, using visual markers and user interfaces for manual or automatic adjustments, reducing the need for physical markers and expensive measuring devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple installation rules and technical factors are strictly followed to position the camera, then imaging quality can be maintained, but installation and maintenance become complicated and time-consuming
Solution Approach 1:
The system automatically determines camera position parameters (azimuth, pitch, height) by processing imagery data, replacing manual measurement and adjustment processes. This changes the installation methodology from mechanical parameter setting to automated computational parameter determination, reducing complexity while maintaining imaging quality
Solution Approach 2:
The camera system performs self-calibration and self-positioning determination by automatically processing its own imagery data to determine its current position and calculate recommended positions. This eliminates the need for external measurement devices and manual calibration procedures, significantly reducing installation and maintenance complexity
2Ease of operation
If manual adjustment of camera position is performed without automated guidance, then installation flexibility is maintained, but positioning precision deteriorates
Solution Approach 1:
The system provides automated feedback by determining the current camera position from imagery, calculating the recommended position based on installation rules, and guiding the adjustment process. This feedback loop enables manual operators to achieve precise positioning without requiring expert knowledge, maintaining flexibility while improving precision
Solution Approach 2:
The system replaces mechanical measurement tools (theodolites, laser distance meters, physical markers) with computational imagery processing to determine camera position. This substitution maintains installation flexibility while dramatically improving positioning precision through automated image analysis
3Measurement precision
If physical road markers and measuring devices are used for camera calibration, then positioning accuracy is improved, but installation cost and time increase
Solution Approach 1:
The system uses virtual markers generated from imagery processing instead of physical road markers. The processor identifies road features in images and creates virtual reference points that serve the same calibration function, eliminating the need to physically place and measure against actual markers, thus reducing installation time while maintaining accuracy
Solution Approach 2:
The system extracts positioning information directly from imagery data without requiring external measuring devices or physical markers. By extracting geometric and positional information from the captured images themselves, the system eliminates the time-consuming process of deploying and measuring physical calibration equipment
Data Source
AI summary
Determine a current position of a camera relative to a road based on a set of imagery from the camera and a recommended position of the camera relative to the road based on the set of imagery from the camera, while the camera is maintained at a constant height relative to the road and a constant lateral distance relative to the road. The camera can be positionally adjusted from the current position to the recommended position based on a movement of the camera about a Y-axis or a Z-axis of the camera at that time relative to the road. In order to enable movement of the camera, a guide can be output to a user such that the user can follow the guide and move the camera from the current position to the recommended position.