Optical Usage Object Identification Through Image Overlay Matching
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Solution Overview
Problem
Existing methods for identifying usage objects are inaccurate and prone to errors due to reliance on optical and data-related details, leading to incorrect comparisons between captured and database objects.
Innovation Solution
A method and apparatus for physical, particularly optical detection of usage objects using a processing unit to obtain characteristic values, which are compared with database entries, allowing for precise classification and identification by superimposing camera images with database objects on a screen, utilizing a combination of optical and data-related comparisons, and optionally employing drones for capturing images from various angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If optical comparison methods are used to identify usage objects, then the process is inexpensive and time-saving, but the accuracy is low and error-prone
Solution Approach 1:
The patent segments the object identification process into multiple independent measurement steps: first measuring geometric parameters (lengths, angles, distances), then measuring optical parameters (colors, reflections), and finally comparing both sets of measurements against database entries. This segmentation allows each measurement type to be optimized independently, achieving both speed and accuracy.
Solution Approach 2:
The patent merges multiple measurement approaches (geometric measurement and optical measurement) into a unified identification system. By combining structure-based measurements with appearance-based measurements, the system achieves higher accuracy than either method alone while maintaining efficiency through automated processing.
2Measurement precision
If detailed optical comparison is performed to improve accuracy, then identification precision increases, but the complexity of the detection process increases
Solution Approach 1:
The patent divides the complex detection task into separate measurement modules: geometric measurement units for structural parameters and optical measurement units for appearance parameters. Each module handles specific aspects of the object, reducing the complexity of individual components while achieving comprehensive accuracy through their combination.
Solution Approach 2:
The system uses the object's own characteristics (its geometry and optical properties) as the basis for identification without requiring external references or complex preparation. The measurement devices directly capture inherent object properties, simplifying the detection process while maintaining high accuracy.
Data Source
AI summary
Disclosed is a method for the physical, in particular optical, detection of at least one usage object. The method includes the step of carrying out at least one physical detection process, for example by a user and/or an implementation device, in particular of at least one photograph, of the usage object, so that the usage object may be detected in such a way that an image of the usage object as detected during the detection process is shown at the same time as the database object shown on the screen in an identical manner or in a manner identical to scale, wherein as a result of the detection process, the usage object is associated with at least one usage object class, for example a vehicle type, by the processing unit and/or the CPU and/or the user.