Tyre Tread Depth Sensing Using Optical Imaging
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Solution Overview
Problem
Current methods for vehicle tire inspection, particularly for tread depth measurement, lack practicality and consistency for both vehicle owners and law enforcement agencies, leading to potential safety risks due to infrequent checks and lack of objective, easy-to-use solutions for regular monitoring and spot checks.
Innovation Solution
A tire condition monitoring system that includes a sensing unit capable of manual or mechanical approximation to the tire for measuring tread depth using time-of-flight electromagnetic signals or imaging, with the ability to store and transmit data, and integrate with smartphone apps or vehicle management systems for guided inspections and automated monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional tread depth gauges are used, then measurement capability is provided, but ease of operation deteriorates due to difficult access and positioning requirements
Solution Approach 1:
The patent replaces mechanical contact-based measurement systems with optical imaging systems. A camera captures images of the tyre tread, and image processing algorithms automatically calculate tread depth and wear patterns. This eliminates the need for manual probe insertion and physical contact with the tyre surface, making inspection easier while maintaining or improving measurement accuracy through automated analysis.
Solution Approach 2:
The patent creates a visual copy (image) of the tyre tread surface rather than requiring direct physical measurement. By capturing an image and processing it to extract tread depth information, the system allows operators to inspect tyres from a distance without needing to physically access grooves and apply measurement tools, significantly improving ease of operation.
2Productivity
If manual inspection methods are used, then measurement capability is provided, but productivity deteriorates due to time-consuming procedures
Solution Approach 1:
The patent replaces manual mechanical measurement procedures with automated optical imaging and image processing. The system captures tyre images and automatically processes them to extract tread depth, wear patterns, and condition assessments. This automation eliminates time-consuming manual probe insertion and reading operations, significantly improving inspection speed while the integrated software handles the complexity of analysis.
Solution Approach 2:
The system performs self-analysis through automated image processing algorithms that automatically calculate tread depth, identify wear patterns, and generate condition assessments without requiring manual intervention. The computer vision system independently processes the captured images and provides diagnostic information, reducing inspection time while managing system complexity through software-based solutions.
3Measurement precision
If comprehensive tyre inspection is performed, then measurement accuracy is improved, but ease of operation worsens due to the need for wheel removal or vehicle positioning on ramps
Solution Approach 1:
The patent creates a visual replica of the tyre tread surface through imaging, allowing comprehensive inspection without physical manipulation of the tyre or vehicle positioning. The image processing system extracts complete tread depth and wear information from photographs taken with the wheel mounted on the vehicle, eliminating the need for wheel removal or ramp positioning while maintaining measurement accuracy through automated analysis.
Solution Approach 2:
The patent replaces mechanical measurement systems that require direct contact and specific positioning with optical imaging systems. The camera-based system can capture tyre images from various angles without requiring the wheel to be removed or the vehicle to be positioned on ramps. Image processing algorithms then extract comprehensive tread depth and wear information, providing accurate measurements while greatly improving accessibility and ease of operation.
4Measurement precision
If time-of-flight measurement methods are used, then measurement capability is provided, but device complexity increases due to specialized sensing requirements
Solution Approach 1:
The patent replaces complex time-of-flight electromagnetic sensing systems with simpler optical imaging systems using standard cameras. Instead of requiring specialized sensors to measure the time for electromagnetic signals to travel to and from the tyre surface, the system uses widely available camera technology to capture images and process them to extract tread depth information. This substitution dramatically reduces device complexity while maintaining measurement capability through software-based analysis.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides accurate, consistent, and objective tire condition assessments, reducing operator error and enabling regular monitoring, which can enhance safety by ensuring tires meet legal standards and extend tire life through early detection of wear patterns.
Implementation Method 1
measuring time of flight of an electromagnetic signal, e.g. a laser light or an ultrasonic signal, from the tyre surface to the groove base and back
Implementation Method 2
measuring time of flight of an electromagnetic signal, e.g. a laser light or an ultrasonic signal, from the tyre surface to the groove base and back
Data Source
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Figure 5~9
AI summary
A tyre condition monitoring system comprising a sensing unit adapted for approximation to a tyre to take a measurement of, or at least from which can be derived, tread depth, the sensing unit being adapted for deployment by manual approximation to a tyre and to store and/or transmit measurement data from one or more or all of a set of tyres on a vehicle as well as for mechanical approximation to a tyre for continuing and/or programmed measurement, where the sensing unit is traversed across a tyre to generate a profile from which the depth of each groove of the tread can be derived, and wherein scanning is automatically started when the sensing unit encounters one edge of the tyre and automatically stopped when the scanning head encounters the other edge of the tyre.