Road Mark Abrasion Detection and Paint Calculation
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Solution Overview
Problem
There is a need for a system that can accurately determine the cost of repainting road surface marks, as existing systems do not provide a reliable method for calculating the amount of paint required.
Innovation Solution
A management assistance system that includes a detection unit to identify road surface marks and their degree of abrasion from captured images, a determination unit to assess whether repainting is necessary based on the abrasion level, and a calculation unit to determine the amount of paint required for repainting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If road surface marks are monitored using image recognition, then the ability to detect abrasion is improved, but the capability to calculate repainting costs is insufficient
Solution Approach 1:
The system introduces an intermediary calculation process that bridges the gap between image recognition results and cost determination. The calculation unit acts as a mediator that transforms detected abrasion data into actionable cost information by referencing standardized paint consumption data, thereby recovering the lost cost calculation capability without compromising detection accuracy.
Solution Approach 2:
The system creates a digital copy of the road surface mark from the captured image, then uses this copy to determine the original mark's specifications and calculate paint requirements. This copying approach allows the system to infer cost-relevant information (paint consumption) from the image data without directly measuring physical paint quantities, thus recovering cost calculation capability from the detection system.
2Loss of information
If manual inspection methods are used, then cost estimation is possible, but detection accuracy and efficiency are reduced
Solution Approach 1:
The system enables automatic self-service for cost estimation by integrating the calculation unit that autonomously computes paint consumption and costs based on detected abrasion data. This eliminates the need for manual inspection while maintaining cost information availability, thereby resolving the contradiction between automated efficiency and cost information completeness.
Solution Approach 2:
The monitoring system is enhanced with multi-functionality by adding the calculation unit that performs both detection and cost estimation functions. This universal approach allows a single system to handle both high-speed automated detection and accurate cost calculation, eliminating the trade-off between productivity and cost information availability.
3Reliability
If detailed abrasion analysis is performed, then repainting necessity determination is improved, but additional cost calculation capability is required
Solution Approach 1:
The system segments the functionality into distinct modules: detection unit for abrasion analysis, determination unit for repainting necessity, and calculation unit for cost estimation. This segmentation allows detailed abrasion analysis to be performed reliably while managing system complexity through modular design, where each unit handles a specific aspect of the overall process.
Solution Approach 2:
The determination unit serves as an intermediary that connects detailed abrasion analysis with cost calculation. It processes the detailed analysis results to make repainting decisions and generates output data that the calculation unit can use, thereby enabling reliable decision-making while managing the complexity of integrating cost calculation capabilities.
Data Source
AI summary
A management assistance system according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: detect a road surface mark and a degree of abrasion of the road surface mark from a road surface image taken of a road surface; determine, based on the degree of abrasion of the road surface mark, whether the road surface mark is to be repainted; and calculate, based on the road surface mark determined to be repainted, an amount of paint to be used for repainting the road surface mark.