Tire Tread Depth Measurement Using RGB and IR Imaging
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Solution Overview
Problem
Current methods for accurately and efficiently measuring and analyzing tire tread depth and wear patterns are inadequate, as they often require extensive time, operator training, and are not portable or capable of providing real-time feedback.
Innovation Solution
A tire sensing and analysis system that uses a combination of RGB and IR cameras to capture 2D and 3D images of tire surfaces, analyzing these images to determine tread depth and wear patterns, and providing immediate feedback through a display unit, while also allowing for offline operation and connectivity for data upload and remote processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual measurement methods are used for tire tread depth, then operator training and extensive time are required, but the system lacks portability and real-time feedback capability
Solution Approach 1:
The patent replaces manual mechanical measurement tools with an automated imaging system comprising RGB and IR cameras that capture tire surface images. The system uses computer vision algorithms to automatically measure tread depth, eliminating the need for manual measurement tools and operator intervention, thereby reducing measurement time while maintaining or improving accuracy.
Solution Approach 2:
The system performs self-analysis by automatically processing captured images through embedded algorithms that identify tread patterns, calculate depth measurements, and generate wear assessments without requiring operator training or manual interpretation. The device autonomously completes the entire measurement and analysis workflow.
2Ease of operation
If portable measurement devices are used, then operator training requirements are reduced, but measurement precision and analysis capability are compromised
Solution Approach 1:
The portable device integrates multiple functions including RGB imaging, IR imaging, 3D reconstruction, tread depth measurement, wear pattern analysis, and maintenance recommendation generation into a single handheld unit. This multi-functional integration maintains comprehensive analysis capability while improving portability and ease of operation.
Solution Approach 2:
The system transitions from 2D image capture to 3D surface reconstruction by combining RGB and IR camera data. This dimensional enhancement allows the portable device to achieve measurement precision comparable to fixed laboratory equipment by creating three-dimensional models of the tire surface for accurate tread depth calculation.
3Loss of information
If comprehensive tire analysis is performed, then detailed wear pattern identification is achieved, but device complexity and cost increase
Solution Approach 1:
The patent introduces an intermediate processing layer that captures raw tire images and transforms them into structured 3D surface models before final analysis. This intermediate representation simplifies the complexity by organizing data in a standardized format that facilitates wear pattern detection while reducing the computational burden on the analysis algorithms.
Solution Approach 2:
The analysis system divides the tire surface into distinct regions and segments wear patterns into identifiable categories. By segmenting the complex tire surface into manageable zones and analyzing each region separately, the system achieves comprehensive wear detection without requiring overly complex holistic analysis algorithms.
4Productivity
If real-time feedback is provided, then immediate maintenance decisions are enabled, but data processing speed and system responsiveness are challenged
Solution Approach 1:
The system performs preliminary processing of captured images during acquisition, including initial feature detection and 3D model construction. By preparing data structures and identifying key features before final analysis, the system enables rapid real-time feedback while maintaining measurement precision through pre-processed high-quality data.
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
Enables rapid, precise, and portable tire analysis, providing real-time feedback and suggesting maintenance actions or tire replacements, with minimal operator training, and allowing for data storage and post-processing when network connectivity is available.
Implementation Method 1
images of the tire surface in the infrared (IR) light spectrum
Data Source
AI summary
The tire sensing and analysis system may comprise a measurement device and local application software. The measurement device may make contact with a tire of a vehicle such that the measurement device is positioned at a specific distance and orientation relative to the tire. The measurement device may capture multiple images of the tire using an RGB camera and a pair of infrared cameras. The local application software may analyze the images and may construct a 3D mesh describing the 3-dimensional contours of the tread. The local application software may determine a tread depth and may display status and warning messages on a display unit that is coupled to the measurement device. The measurements may be communicated to remote application software for additional analysis. As non-limiting examples, the remote application software may detect specific tire wear patterns and may transmit a report to share results of the analysis.