Wheel Hub Bolt Detection Using Circle Extraction
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Solution Overview
Problem
Existing automatic wheel configuring devices face inefficiencies in detecting hub bolts due to false detections of countersunk screws and maintenance hole covers, leading to increased detection time and reduced production efficiency, which contributes to higher carbon dioxide emissions.
Innovation Solution
An automatic wheel configuring device that uses a detection device with an acquisition portion and a circle extraction portion to initially detect all circles, including hub bolts and bolt holes, and narrows down the search range by adding conditions to prevent false detections, using a method that extracts candidate bolt circles based on basic position information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pattern matching detection is used to detect hub bolts, then detection can be performed using stored models, but false detections occur with countersunk screws and maintenance hole covers, and detection accuracy decreases when there are differences between stored models and actual bolt appearances
Solution Approach 1:
The patent extracts the circular shape feature from hub bolts as the key identification characteristic, separating this essential feature from other visual characteristics. By focusing solely on detecting circular shapes and their positional relationships, the system eliminates false detections of non-circular objects like countersunk screws and maintenance hole covers, while maintaining ease of implementation through simple circular detection algorithms.
Solution Approach 2:
The patent changes the detection parameter from comprehensive pattern matching (comparing overall appearance, texture, and shape) to a specific geometric parameter - circularity. This parameter change makes the detection more robust to variations in bolt appearance, lighting conditions, and camera angles, while maintaining high accuracy in identifying actual bolts versus false targets.
2Ease of manufacture
If pattern matching detection is used to detect hub bolts, then detection can be performed with stored models, but detection time increases due to false detections and re-detections, leading to reduced production efficiency
Solution Approach 1:
The patent extracts only the essential circular shape feature for detection, eliminating the need for complex pattern matching processes. This extraction simplifies the detection algorithm to basic circular shape recognition and positional relationship verification, significantly reducing computation time and enabling real-time detection that keeps pace with production line speed while maintaining ease of system setup.
Solution Approach 2:
The patent skips the time-consuming pattern matching comparison process by directly detecting circular shapes and verifying their positional relationships against expected bolt patterns. This approach rushes through the detection process in a single pass without requiring multiple comparison iterations, thereby improving productivity while keeping the system easy to implement.
3Device complexity
If rough detection is performed through pattern matching of one bolt, then the range for remaining bolts can be determined using known phase relationships, but detection errors occur when pattern matching fails, increasing detection time
Solution Approach 1:
The patent extracts circular shape detection as the primary and sufficient method for identifying all bolts, eliminating the need for complex multi-step processes involving pattern matching of reference bolts and phase relationship calculations. This extraction improves reliability by consistently detecting all circular bolt shapes directly, while maintaining simplicity in the detection process.
Solution Approach 2:
The patent incorporates feedback by verifying that detected circular shapes conform to expected bolt positional relationships and patterns. This feedback mechanism ensures detection reliability by confirming that detected circles correspond to actual bolts rather than false targets, while keeping the overall process simple and direct without requiring complex iterative adjustments.
Data Source
AI summary
The disclosure provides an automatic wheel configuring device that configures a wheel according to the inclination of a hub of a vehicle. The automatic wheel configuring device includes a detection device. The detection device takes an image of the hub or the wheel of the vehicle, and detects the positions of the hub bolts or the positions of the bolt holes of the wheel. The detection device includes an acquisition portion and a circle extraction portion. The acquisition portion acquires basic position information on the positions of the hub bolts or the positions of the bolt holes of the wheel. The circle extraction portion extracts a plurality of circles present in the captured image. Among the combinations of a plurality of circles, the circle extraction portion extracts a combination that matches the basic position information as a combination of hub bolts or a combination of bolt holes.