Failed Vehicle Estimation via Image Processing
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Solution Overview
Problem
Existing vehicle failure detection systems rely on advanced camera performance to read license plate number information, which is inefficient and unreliable under varying inter-vehicle distances and weather conditions.
Innovation Solution
A system that uses a processor to store vehicle information and failure images from cameras mounted on vehicles, allowing for the estimation of failed vehicles based on positional and failure information, without the need for advanced camera capabilities to read license plates, by specifying and notifying terminal apparatuses of vehicle failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced camera performance is used to read license plate number information, then vehicle identification accuracy is improved, but system complexity and cost increase
Solution Approach 1:
The patent introduces an intermediary processing system that receives images from ordinary cameras, performs image processing to extract vehicle information, and uses this processed information for failure detection. This intermediary layer allows the use of standard cameras while achieving the functionality previously requiring advanced cameras.
Solution Approach 2:
The patent replaces the mechanical/optical approach of using high-performance cameras with image processing algorithms and data analysis methods. Instead of relying on camera hardware capabilities to read license plates, the system uses software-based image processing to extract relevant vehicle information.
2Measurement precision
If advanced camera performance is required to read license plates, then vehicle specification accuracy is improved, but reliability under varying conditions deteriorates
Solution Approach 1:
The patent applies partial action by extracting only the necessary vehicle information from images rather than requiring complete license plate recognition. The system processes images to obtain sufficient data for failure detection without demanding perfect image quality or advanced reading capabilities.
Solution Approach 2:
The patent changes the approach from requiring high-quality images with readable license plates to using processed image data that may not require clear text recognition. By altering the parameter requirements from optical clarity to processed information availability, the system achieves reliability across varying conditions.
3Measurement precision
If license plate reading is used for vehicle identification, then vehicle specification accuracy is improved, but system complexity increases
Solution Approach 1:
The patent extracts only the essential vehicle identification information needed for failure detection, rather than requiring complete license plate reading and analysis. This extraction approach reduces the complexity of image analysis while maintaining sufficient accuracy for the intended purpose.
4Measurement precision
If advanced camera performance is used, then number information reading accuracy is improved, but ease of operation deteriorates due to environmental constraints
Solution Approach 1:
The patent uses partial action by obtaining sufficient vehicle information without requiring complete license plate reading. This approach maintains operational flexibility across different environmental conditions while achieving the necessary identification accuracy for failure detection.
Data Source
AI summary
A failed vehicle estimation system includes an processor configured to: store vehicle information including vehicle ID information and positional information of the vehicles and failure information of a failed vehicle or at least one image obtained by imaging an outside of the vehicles with a camera mounted in each of the vehicles, the failure information being obtained from at least one specific image; specify at least one specific vehicle existing on a periphery of a mounting position of a specific camera having captured the at least one specific image from which the failure information of the failed vehicle is obtained; estimate the failed vehicle from among the at least one specific vehicle; and notify a terminal apparatus associated with the failed vehicle of information relating to a vehicle failure.