3D Tire Scanning for Fast Tread Depth and Wear Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing tire sensing and analysis systems fail to accurately, rapidly, and inexpensively measure and analyze tire tread depth and unusual wear patterns, often overlooking additional aspects of tire performance and characteristics.
Innovation Solution
A tire sensing and analysis system that combines hardware and software to scan all four tires in under 3 minutes, using a measurement device with an RGB camera, IR imagers, and LED lighting to capture images and create a 3D mesh of the tire surface, allowing for precise analysis of tread depth and wear patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional tire measurement methods are used, then the system is simple and easy to operate, but the measurement precision and analysis accuracy are insufficient
Solution Approach 1:
The system segments the tire scanning function into multiple specialized components: RGB cameras for color imaging, IR imagers for thermal and depth information, LED lighting arrays for controlled illumination, and separate processing modules for different types of data analysis. This segmentation allows each component to be optimized for its specific function while maintaining overall system manageability.
Solution Approach 2:
The measurement device is designed as a multi-functional integrated system that performs multiple tire analysis functions simultaneously: tread depth measurement, wear pattern detection, temperature monitoring, and 3D surface mapping. This universal device replaces multiple separate tools, improving measurement precision without proportionally increasing operational complexity.
2Loss of information
If comprehensive tire analysis is performed, then additional aspects of tire performance are captured, but the scanning time and processing complexity increase
Solution Approach 1:
The system performs continuous multi-spectral imaging during a single pass over the tire, capturing RGB, IR, and depth information simultaneously rather than sequentially. The continuous LED illumination and synchronized sensor activation allow comprehensive data collection in one continuous motion, reducing scanning time while maintaining information completeness.
Solution Approach 2:
The system adds multiple dimensional layers of information by capturing tire characteristics across different spectral dimensions (visible light, infrared) and spatial dimensions (2D images, 3D mesh). This multi-dimensional approach comprehensively captures tire performance aspects without requiring multiple separate scanning passes, as all dimensional data is collected simultaneously.
3Ease of operation
If portable measurement device is used, then the system mobility and ease of operation improve, but the measurement stability and consistency may deteriorate
Solution Approach 1:
The system incorporates real-time feedback mechanisms where the portable device continuously monitors its own positioning, lighting conditions, and sensor calibration status during operation. This feedback allows automatic adjustments to maintain measurement consistency despite the portable nature of the device, ensuring reliable data collection while preserving mobility and ease of operation.
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
The system provides real-time feedback, is portable, and can upload data for storage and post-processing, enabling accurate and efficient tire analysis with minimal operator training, while also suggesting maintenance actions and tire replacements based on the data collected.
Implementation Method 1
using a measurement device with an RGB camera, IR imagers, and LED lighting to capture images
Implementation Method 2
using a measurement device with an RGB camera, IR imagers, and LED lighting to capture images
Implementation Method 3
using a measurement device with an RGB camera, IR imagers, and LED lighting to capture images
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, tread issues, and tire condition 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.