Automated Cadastral Surveying Using Image Comparison and 3D Point Clouds
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Solution Overview
Problem
Traditional cadastral surveys are time-consuming and inefficient, leading to uncertainties in land value, extent, and ownership, particularly in newly developed areas.
Innovation Solution
A method and system for identifying objects and people in images using digital image recording devices, transmitting images to remote computer systems for comparison with preexisting images, generating point clouds, and fitting them with 3D models to determine keyphrases associated with surveyed features, which are then confirmed and integrated into land survey applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual surveying methods are used, then surveyors can identify objects based on personal knowledge, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces manual mechanical surveying with an automated image-based system. Digital images captured by cameras are processed through image comparison software that automatically identifies objects by comparing them against a database of preexisting images, eliminating the need for manual identification while maintaining accuracy
Solution Approach 2:
The system creates a digital copy of the physical survey environment through photography. Captured images serve as digital representations that can be analyzed, stored, and compared without requiring physical presence or manual measurement, enabling efficient processing and archiving of survey data
2Reliability
If manual surveying is used, then surveyors can establish cadastre records, but newly developed lands remain unsurveyed creating uncertainty in land value and ownership
Solution Approach 1:
The automated image comparison system processes survey data much faster than manual methods, enabling comprehensive coverage of newly developed lands. The system can rapidly analyze numerous images to establish reliable cadastre records for previously unsurveyed areas, reducing uncertainty in land value and ownership
Solution Approach 2:
The system pre-establishes a database of reference images with known objects and features before conducting surveys. This preliminary preparation enables rapid identification and classification of objects in survey images, allowing quick establishment of cadastre records for newly developed lands without delays
Data Source
AI summary
Novel tools and techniques are described for identifying objects and/or persons. In one aspect, a method might comprise obtaining a digital image of an object(s) with a digital image recording device. The digital image may be transmitted to a remote computer system, and compared to multiple preexisting digital images using an image comparison software application running thereon. A set of preexisting digital images matching the digital image of the object(s) may be identified, and a (best match) keyphrase associated with the preexisting digital images may be determined. The keyphrase may be returned to a user computer for user confirmation or rejection. In some embodiments, a point cloud may be generated for each object in the image, and fitted with available 3D models, so as to confirm the keyphrase. In some embodiments, the confirmed keyphrase may be sent to a user computer for implementation in a cadastral survey application.