Optical Usage Object Detection Using Characteristic Value Matching
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Solution Overview
Problem
Existing methods for identifying usage objects are inaccurate due to reliance on optical and data-related details, leading to errors in comparison with database entries, and are not cost-effective or time-efficient.
Innovation Solution
A method involving a portable processing unit with a camera that captures and compares characteristic values of usage objects with database entries, using a combination of optical and data-related analysis to achieve unique and biunique identification, potentially with the aid of drones for efficient image capture and virtual marking elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional optical detection methods are used to identify usage objects, then the process is simple and low-cost, but the accuracy is poor due to sensitivity to small optical and data-related details
Solution Approach 1:
The patent uses multiple captured images to create a composite representation of the usage object, comparing this composite model against database entries. This copying approach allows accurate reproduction and comparison of object features while filtering out irrelevant variations, thereby improving identification accuracy without requiring complex hardware modifications
Solution Approach 2:
The patent segments the identification process into distinct steps: capturing multiple images, extracting characteristic values from each image, comparing these values against database entries, and determining the usage object class. This segmentation allows each step to be optimized independently, improving overall accuracy while managing system complexity through modular processing
2Reliability
If multiple images are captured and processed to improve identification accuracy, then the reliability increases, but the time required for detection increases
Solution Approach 1:
The patent performs preliminary processing of captured images by extracting characteristic values immediately upon capture, and pre-processes database entries for comparison. This preliminary action prepares data in advance for the comparison step, reducing the time required during the actual identification process while maintaining the reliability benefits of multiple image captures
Solution Approach 2:
The patent implements efficient comparison algorithms that quickly evaluate extracted characteristic values against database entries, skipping unnecessary processing steps. The system rushes through the comparison phase by using optimized search methods and eliminating redundant calculations, thereby reducing detection time while still processing multiple images for reliable identification
3Measurement precision
If traditional database comparison methods are used, then the system is simple to operate, but errors occur due to sensitivity to small optical and data-related details
Solution Approach 1:
The patent introduces an intermediary processing layer that extracts and standardizes characteristic values from captured images before comparing them with database entries. This intermediary step acts as a mediator that filters out irrelevant optical variations and standardizes data formats, improving comparison accuracy while maintaining ease of operation through automated processing
Solution Approach 2:
The patent transforms the comparison process by changing from direct image-to-image comparison to characteristic value-to-characteristic value comparison. This parameter change extracts essential features from images and compares these standardized values against database entries, improving accuracy by focusing on relevant parameters while simplifying the operation through automated feature extraction
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.