Roadwork Safety Marker Position Correction Using Image Data
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Solution Overview
Problem
Existing systems for monitoring the position of traffic guidance devices at road construction sites suffer from inaccurate GPS-based position detection, necessitating a more precise and reliable method to ensure compliance with safety regulations.
Innovation Solution
A method utilizing a safety marker equipped with a navigation module, camera, and data transmission device to capture and compare image data sets, employing artificial neural networks to correct position data and detect deviations or damage, generating alarm signals when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS systems are used to determine the position of safety markers, then the monitoring system can be implemented, but the position detection accuracy is limited
Solution Approach 1:
The patent introduces an image processing intermediary system that captures images of safety markers and processes them to extract position information. This intermediary layer between the GPS system and the final position data allows for more accurate position determination by analyzing visual features of the markers in the captured images, thereby improving measurement precision while maintaining system reliability
Solution Approach 2:
The patent replaces the purely GPS-based mechanical positioning system with an optical image processing system. By using cameras to capture images and processing algorithms to determine positions from these images, the system achieves higher accuracy than GPS alone, effectively substituting the mechanical GPS positioning with an optical measurement approach
2Reliability
If manual control checks are performed several times a day, then the security situation can be monitored, but the personnel requirements and costs increase
Solution Approach 1:
The system enables self-service monitoring where the safety markers themselves capture images and transmit their position data automatically. The markers perform their own monitoring function without requiring external manual intervention, thereby maintaining reliable security monitoring while eliminating the need for extensive personnel involvement and reducing operational complexity
Solution Approach 2:
The patent replaces manual mechanical inspection processes with an automated electronic monitoring system. Cameras and image processing algorithms automatically detect and report the position and status of safety markers, substituting human inspectors with an automated system that provides continuous monitoring without increasing device complexity
3Reliability
If the position of safety markers is not accurately detected, then the monitoring system is simpler, but the safety compliance cannot be ensured
Solution Approach 1:
The patent changes the measurement parameters from GPS coordinates alone to a combination of image capture data, marker feature extraction, and processed position information. By transforming the raw GPS data into processed position parameters derived from image analysis, the system achieves higher measurement precision and ensures safety compliance while maintaining reliable monitoring
Data Source
AI summary
Safety markers are used to monitor the security situation surrounding a construction site. A position data set indicates a current position of a safety marker. A reference image data set indicates an initial state of the security situation, and a control image data set indicates a current state of the security situation. The position data set, the reference image data set and the control image data set are transmitted to a central processing unit. A correction data set is determined by evaluating the reference image data set and the control image data set. The position data set is corrected using the correction data set to generate a corrected position data set. The current position of the safety marker as indicated by the corrected position data set is compared to a target position of the safety marker. An alarm signal is generated if the current position deviates from the target position.