Roadside Asset Tracking via Automated Image Recognition
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Solution Overview
Problem
Current systems for roadside asset tracking, such as D1, are not suited for fixed roadside assets as they rely on barcodes, VIN numbers, and manual inspections, which are inefficient and lack comprehensive documentation of asset installations, conditions, and locations.
Innovation Solution
A method and system for roadside asset tracking and maintenance monitoring using a mobile unit equipped with a data capture device, GPS, and image recognition techniques to automate the identification, valuation, and monitoring of roadside assets, including traffic management posts and reflector posts, without relying on barcodes or manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If barcode scanning or VIN number input is used to identify assets, then asset identification can be achieved, but roadside assets cannot be identified because they do not uniformly comprise such identifiers
Solution Approach 1:
The patent replaces manual identification methods (barcode scanning, VIN number input) with automated optical character recognition (OCR) technology. The mobile unit captures images of roadside assets and automatically extracts identification information from visible markers, signs, or asset features, eliminating the need for physical barcodes or manual data entry while achieving both precision and versatility
Solution Approach 2:
The system enables roadside assets to be automatically identified through their own visible characteristics without requiring external identifiers. The mobile unit autonomously captures images, processes them through OCR algorithms, and extracts identification data directly from the asset's appearance, allowing assets to 'identify themselves' without human intervention or additional tagging infrastructure
2Reliability
If manual inspections are used to monitor asset conditions, then some level of monitoring can be achieved, but the process is inefficient and lacks comprehensive documentation
Solution Approach 1:
The patent replaces manual visual inspections with automated image capture and analysis systems. Mobile units equipped with cameras periodically photograph roadside assets, and computer vision algorithms automatically analyze the images to detect conditions such as damage, deterioration, or missing components, providing comprehensive documentation without human labor
Solution Approach 2:
The system transitions from periodic manual inspections to continuous automated monitoring. Mobile units regularly traverse roadside sections, capturing images of assets at frequent intervals, ensuring that condition changes are detected promptly and continuously documented, thereby improving both reliability and productivity simultaneously
3Reliability
If no automated detection system is implemented, then current manual processes can be maintained, but missing or damaged assets remain undetected
Solution Approach 1:
The patent replaces manual asset status verification with automated image analysis. The mobile unit's camera captures images of roadside assets, and computer vision algorithms automatically compare current images against historical data to detect missing, damaged, or changed assets, providing reliable detection without requiring human inspectors to manually verify each asset's status
Solution Approach 2:
The system implements automated feedback loops where image analysis results are immediately compared against the asset register, and discrepancies (missing or damaged assets) are automatically flagged and reported. This closed-loop feedback mechanism ensures that asset status changes are reliably detected and communicated without human intervention
4Loss of information
If historical records of asset installations are not maintained, then data storage requirements are minimized, but councils cannot know previously utilised locations or specifications for replacement assets
Solution Approach 1:
The patent creates digital copies of roadside assets through automated image capture and data extraction. Each asset's visual appearance, location, and identifiable characteristics are photographed and stored as permanent records, replacing the need for complex manual documentation systems while preserving complete historical information about asset installations and specifications
Solution Approach 2:
The system automatically captures and stores asset data at the time of installation or during initial surveys, creating historical records before assets are replaced or modified. This preliminary data capture ensures that location and specification information is preserved in the asset register, enabling informed replacement decisions without requiring complex ongoing documentation
Data Source
AI summary
There is provided herein an apparatus and method for roadside asset tracking and maintenance monitoring having a mobile unit with data capture devices for capturing roadside asset imagery, global positioning system (GPS) receivers and data interfaces for communicating with an asset management server. As such, the apparatus may take roadside imagery for automated asset identification which may include utilising an asset type image recognition technique for automating the identification of the roadside assets.