Augmented Reality Geolocalization for Unobstructed Image Capture
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Solution Overview
Problem
Existing technologies struggle to accurately capture and update geolocalized images due to obstructions and lighting conditions, leading to inaccuracies in geographic data representation.
Innovation Solution
A computer-implemented method using augmented reality techniques to determine a suitable position for capturing unobstructed and well-lit images of a target location, generating indications to assist users in positioning their devices for optimal image capture, and updating geolocalized data automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated image capture is implemented without position guidance, then productivity is improved, but measurement precision deteriorates due to obstructions and lighting conditions
Solution Approach 1:
The system introduces an augmented reality intermediary layer that displays visual indicators and position guidance overlays on the user's device camera view. This intermediary provides real-time feedback about optimal positioning, allowing automated capture to proceed only when criteria are met, thus maintaining both efficiency and precision
Solution Approach 2:
The system implements feedback mechanisms through augmented reality indicators that show whether the current device position and orientation satisfy capture criteria. The feedback loop continues until optimal conditions are achieved, ensuring measurement precision while maintaining productivity through automated validation
2Measurement precision
If manual verification of geolocalized images is required, then measurement precision is improved, but productivity deteriorates due to time-consuming verification processes
Solution Approach 1:
The system performs preliminary validation of image capture conditions before the actual capture occurs. By checking obstructions, lighting, and positioning criteria in advance through augmented reality guidance, the system ensures that only pre-validated images are captured and submitted, eliminating the need for manual verification while maintaining precision
Solution Approach 2:
The system implements self-service validation where the automated capture process inherently verifies image quality through pre-capture criteria checking. The device itself validates whether capture conditions are met without requiring external manual verification, thus improving productivity while maintaining measurement precision
3Measurement precision
If multiple capture criteria are enforced, then measurement precision is improved, but device complexity increases due to multiple sensing and validation requirements
Solution Approach 1:
The system employs a camera sensor that serves multiple functions: capturing the target image, detecting obstructions in the field of view, and assessing lighting conditions. By making the primary sensor multi-functional, the system achieves high measurement precision without adding separate specialized sensors, thus avoiding increased device complexity
Solution Approach 2:
The system combines multiple validation functions (obstruction detection, lighting assessment, positioning verification) into a unified augmented reality guidance system. By merging these functions into a single software-based validation layer rather than implementing separate hardware systems, the achievement of high measurement precision does not translate to increased device complexity
Data Source
AI summary
A method for determining a location at which an unobstructed view of a target location is obtained, includes capturing an image of an environment which includes a target location; accessing target location data, wherein the target location data comprises information associated with the environment and the target location; determining, based on the target location data and a spatial relationship between the target location and one or more objects in the image which obstruct a view of the target location, at least one suitable location of a user device from which an unobstructed view of the target location is within a field of view of the user device and satisfies one or more criteria; and providing a guided human-machine interaction process to assist a user associated with the user device in re-locating the user device to the at least one suitable location.