Geodetic Target Point Selection via Image Processing
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Solution Overview
Problem
Existing geodetic measuring devices require manual fine alignment, which is time-consuming and accuracy-dependent on user skill, and are limited to defined targets, failing to accurately target natural or variable-shaped objects.
Innovation Solution
A method using digital image processing to identify and weight target point candidates based on predefined models, allowing for automatic or manual selection of a target point, with a camera-aligned measuring device providing a set of candidates with associated probabilities for precise alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual fine alignment is used for target point selection, then measurement precision can be achieved, but the process is time-consuming and depends on user skill
Solution Approach 1:
The measuring device automatically performs target point identification and selection through image processing algorithms, eliminating the need for manual fine alignment operations. The system self-services the targeting function by processing camera images to identify target objects and calculate their positions, thereby reducing alignment time while maintaining measurement precision.
Solution Approach 2:
The patent replaces manual mechanical alignment operations with automated digital image processing. Instead of requiring users to manually adjust the measuring device for precise alignment, the system uses camera-based image recognition and computational algorithms to automatically determine target positions and perform alignment, substituting mechanical user operations with digital automation.
2Adaptability or versatility
If traditional targeting methods are used, then defined targets can be identified, but natural or variable-shaped objects cannot be accurately targeted
Solution Approach 1:
The measuring device is enhanced with multi-functional capabilities to handle various target object types. The integrated camera system and image processing algorithms enable the device to universally recognize and measure different target objects including natural features (trees, buildings) and artificial objects (prisms, markers), making the system adaptable to diverse measurement scenarios while maintaining precision through standardized processing algorithms.
Solution Approach 2:
The system dynamically adjusts image processing parameters and recognition algorithms based on the detected target object type and environmental conditions. By changing processing parameters such as feature detection thresholds, recognition algorithms, and measurement calculations according to the specific target characteristics, the system maintains high measurement precision across different object types while enhancing its adaptability.
3Productivity
If automated target recognition is implemented, then alignment speed increases, but device complexity increases
Solution Approach 1:
The patent merges the camera imaging function with the target recognition and measurement functions into an integrated system. By combining these functions that were previously separate or manually performed, the system achieves automated target recognition and rapid measurement without proportionally increasing complexity. The unified processing architecture allows multiple functions to share hardware and computational resources.
Solution Approach 2:
The system creates a digital copy of the target object through camera imaging and processes this digital representation to identify target positions and characteristics. Instead of requiring complex physical sensors or multiple measurement systems, the patent uses optical imaging to create a digital model of the target, which is then analyzed computationally to achieve rapid and accurate measurement, reducing overall system complexity.
Data Source
AI summary
Method for providing target point candidates forming a candidate set for selecting a target point from the candidate set by means of a geodetic measuring device. The measuring device is coarsely oriented toward the target point, and an image is recorded in the sighting direction. A search process for certain target object candidates in the recorded image is performed by means of image processing and wherein at least one respective point representing the target object candidate is associated with each of the target object candidates as a target point candidate. Candidates are associated with a candidate set. respective weight values are derived according to at least one value of a predetermined target point property of the candidates and associated with the target point candidates. The target point candidates from the candidate set are each provided together with respective information representing the weight value associated with the target point candidate.