AI Wheel Service Imaging for Precise Tool Positioning

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Solution Overview

Problem

Existing tire servicing procedures lack efficiency, quality, and safety, particularly in operations such as tire fitting, removal, and wheel balancing, due to manual input and potential damage to TPMS sensors and improper tool positioning.

Innovation Solution

Employing AI-based image processing to determine the current configuration of vehicle wheels and rims, using neural processing units (NPUs) to analyze images and guide tool positioning, ensuring safe and efficient tire servicing operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual input and conventional methods are used for tire servicing, then device complexity is reduced, but productivity and measurement precision deteriorate

Engineering Contradiction:
Improvespeed of tire servicingVSAvoidcomplexity of image processing system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical operations with an automated vision system that uses AI-based image processing to detect wheel features and guide tool positioning. The neural processing unit analyzes images to automatically determine rim contours and tool positions, eliminating manual input and significantly improving service speed and precision.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables the apparatus to automatically determine its own configuration and the current configuration of the wheel by processing images through the neural network. The AI model autonomously identifies rim features, calculates tool positions, and guides the servicing operation without human intervention, achieving self-service capability.

Inventive Principle:
Principle #25Self-service

2Manufacturing precision

If conventional tool positioning methods are used, then device complexity is low, but manufacturing precision and reliability worsen due to potential damage to TPMS sensors

Engineering Contradiction:
Improvetool positioning precisionVSAvoidcomplexity of AI-based detection system
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent replaces conventional mechanical positioning methods with an optical vision system that uses AI-based image processing. The neural processing unit analyzes wheel images to precisely identify rim contours and tool positions, achieving superior positioning precision while avoiding contact with the rim surface and TPMS sensors.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The vision system acts as an intermediary between the control system and the physical tools. The AI-based image processing creates a digital representation of the wheel and tool positions, which then guides the physical tool movement, ensuring precise positioning without direct contact between the detection system and the wheel components.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If automated vision systems are implemented, then productivity and precision improve, but loss of time for image processing increases

Engineering Contradiction:
Improvedetection precision of wheel featuresVSAvoidimage processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by capturing and preprocessing wheel images before the actual servicing operation begins. The neural processing unit analyzes the images in advance to determine rim contours, tool positions, and wheel configuration, so that when the servicing operation starts, all positioning calculations are already complete, minimizing processing time during the critical service phase.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The vision system operates continuously throughout the servicing process, maintaining real-time monitoring and adjustment of tool positions. The AI-based image processing runs continuously to track wheel rotation and tool movement, ensuring uninterrupted precise guidance without requiring separate processing intervals that would cause time losses.

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS20250315977A1Application of ai-based image processing in vehicle wheel servicing
Publication Date: 2025.10.09 SNAP ON EQUIP SRL
  • US20250315977A1 patent drawing
  • US20250315977A1 patent drawing
  • US20250315977A1 patent drawing

AI summary

The present disclosure pertains to apparatuses and methods for servicing a motor vehicle wheel or rim, which employ AI-based image processing. Employing AI-based image processing may help to enhance the speed, quality and safety of a tire servicing procedure. A method is provided which comprises the step of creating one or more images covering at least a portion of an apparatus for servicing the motor vehicle wheel or rim; and the step of applying an AI-based model to the one or more images. In some implementations, the step of applying an AI-based model comprises the sub-step of determining a current configuration of the apparatus and/or the vehicle rim. Moreover, an apparatus for servicing a motor vehicle wheel or rim is provided, which is specifically adapted for performing such methods.