Surveillance Camera Self-Calibration Using GPS and IMU Sensors
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Solution Overview
Problem
Current video surveillance systems require manual measurement of camera parameters like position, orientation, and opening angle for accurate metric representation of objects, which is labor-intensive and prone to errors.
Innovation Solution
A surveillance camera equipped with a self-calibration tool that uses sensors like GPS, IMU, and MEMS to determine its absolute and relative position, orientation, and opening angle, allowing for automatic calibration without user interaction, and integrating this information with digital maps for precise calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement methods are used to determine camera parameters, then calibration accuracy can be achieved, but the calibration process becomes labor-intensive and time-consuming
Solution Approach 1:
The surveillance camera performs self-calibration by automatically determining its own position, orientation, and opening angle using integrated sensors (GPS, IMU, MEMS) without requiring external manual measurement, thereby eliminating labor-intensive calibration processes while maintaining accuracy
Solution Approach 2:
Manual mechanical measurement methods are replaced with an automated sensor-based system that uses GPS receivers, IMU sensors, and MEMS accelerometers to electronically determine camera parameters, substituting human-operated mechanical processes with automated electronic measurement
2Measurement precision
If manual calibration processes are used, then camera parameters can be determined, but installation costs and complexity increase
Solution Approach 1:
The surveillance camera integrates multiple sensor functions (GPS positioning, IMU orientation sensing, MEMS acceleration measurement) into a single multi-functional device that simultaneously performs various measurement tasks, reducing overall system complexity while maintaining comprehensive calibration capability
Solution Approach 2:
The camera system automatically performs self-calibration using its own integrated sensors without requiring external calibration equipment or manual intervention, simplifying the installation process and reducing the complexity of the calibration workflow
3Productivity
If automated sensor-based calibration is implemented, then calibration speed and accuracy improve, but device complexity increases
Solution Approach 1:
Multiple sensor types (GPS receiver, IMU sensors, MEMS accelerometers) are merged into a single integrated calibration system within the surveillance camera, combining multiple functions into one unified device that improves calibration speed while managing complexity through integration
Solution Approach 2:
The calibration tool is designed as a multi-functional system that simultaneously performs positioning, orientation determination, and acceleration measurement using integrated sensors, enabling rapid comprehensive calibration without requiring separate devices for each measurement type
Data Source
AI summary
A surveillance camera is positioned and positionable at a stationary surveillance position for monitoring. The surveillance camera has a calibration tool that is constructed or configured for ascertaining the stationary surveillance position of the surveillance camera.