Vehicle Component Identification via Image Signal Comparison
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Solution Overview
Problem
In diagnostic and repair shop settings, identifying motor vehicles and their components is time-consuming and labor-intensive due to the need to search through complex diagnostic systems for accurate information, especially in situations with many components or descriptive texts.
Innovation Solution
An identification apparatus that receives image signals, compares them with stored data sets, and generates output images with overlaid virtual labels to facilitate real-time identification of vehicles and components, providing precise location information and guiding users to installation sites through image data comparison and navigation instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional diagnostic systems are used to identify vehicle components, then identification accuracy can be achieved, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces the manual mechanical process of searching through diagnostic systems with an automated optical recognition system. The image signal receiving unit captures images of vehicle components, and the comparison unit automatically matches these images with stored reference images, eliminating the need for manual component location and identification while maintaining high accuracy.
Solution Approach 2:
The patent creates and stores reference image copies of vehicle components in the memory unit. These pre-captured images serve as templates that can be quickly compared against new images taken in the repair shop, enabling rapid identification without requiring physical inspection or manual searching through diagnostic databases.
2Measurement precision
If detailed diagnostic information is provided for complex situations with many components, then identification accuracy improves, but the complexity of the system increases
Solution Approach 1:
The patent extracts only the essential visual features of vehicle components that are necessary for identification, storing them as reference images in the memory unit. This extraction approach captures the critical identifying characteristics while eliminating unnecessary diagnostic information, thereby reducing system complexity while maintaining identification accuracy.
Solution Approach 2:
Instead of storing comprehensive diagnostic data and procedural information, the system creates simplified visual copies of components. These image-based references provide sufficient information for accurate identification without the burden of complex diagnostic databases, manuals, or multiple data sets that would increase system complexity.
3Loss of information
If manual searching through diagnostic systems is performed, then comprehensive information can be found, but productivity decreases
Solution Approach 1:
The patent replaces the manual mechanical process of searching through diagnostic systems with an automated image recognition and comparison system. The comparison unit automatically performs the information retrieval function that previously required manual searching, significantly increasing productivity while maintaining access to comprehensive component information through the stored reference images.
Solution Approach 2:
The system performs preliminary actions by pre-capturing and storing reference images of vehicle components in the memory unit before they are needed in the repair shop. This preliminary preparation of identification data eliminates the need for time-consuming information retrieval during actual component identification, thereby increasing productivity without sacrificing information completeness.
Data Source
AI summary
An identification apparatus for identifying vehicles and/or vehicle components includes: an image signal receiving unit receiving from an image signal source an image signal containing image data of a vehicle and/or of at least one vehicle component; a memory unit storing data of vehicles and/or at least one vehicle component; a comparison unit comparing the image data received with image data of the data sets stored in the memory unit, and to identify those data sets which contain image data that match the received image data; and an image signal data generating unit which generate output image signal data for at least one output image, the output image signal data containing at least a portion of the received image data and data from the data sets stored in the memory unit which have been identified by the comparison unit.