Non-Contact Nut Thread Detection Using Image Comparison
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Solution Overview
Problem
Current nut detection methods using locking standard screws or gauges are time-consuming and can only detect nuts through sampling, leading to inefficiencies and wear of detection tools over time.
Innovation Solution
A non-contact detection method and device that utilizes image capturing and processing to compare threaded hole images of nuts with standard images, determining nut quality based on area differences to identify good or defective nuts without the need for standard screws or gauges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If locking standard screw or gauge is used for nut detection, then detection accuracy is maintained, but detection speed is slow and tool wear occurs
Solution Approach 1:
The patent replaces the mechanical detection system (locking standard screw or gauge) with an optical detection system (imaging device). The imaging device captures images of the nut's threaded hole and uses image processing to determine verticality, eliminating mechanical contact and enabling non-contact detection that is both accurate and high-speed.
Solution Approach 2:
The patent creates a digital copy (image) of the nut's threaded hole and compares it with a standard threaded hole image. This digital copying and comparison method allows for rapid assessment of verticality without physical contact, maintaining accuracy while dramatically improving detection speed and eliminating tool wear.
2Measurement precision
If locking standard screw is used for detection, then verticality can be measured, but the standard screw becomes abraded and requires maintenance
Solution Approach 1:
The patent replaces the mechanical standard screw with an optical imaging system. The imaging device captures images and processes them to measure verticality, eliminating the physical standard screw that would otherwise undergo wear and require maintenance. The system uses digital image analysis instead of mechanical measurement.
3Productivity
If sampling detection is used, then detection time is reduced per batch, but overall detection coverage is insufficient
Solution Approach 1:
The patent enables continuous detection by processing each nut individually through the imaging system. Unlike sampling methods that inspect only selected items, this system can continuously image and evaluate every nut that passes through, providing both high throughput and complete detection coverage for enhanced reliability.
Data Source
AI summary
A non-contact detection method for a nut is provided. The method includes the following steps. The nut is photographed to obtain a threaded hole image of the nut. A thread area comparison between the threaded hole image and a standard threaded hole image is performed. An area difference is obtained according to the result of the thread area comparison. Whether the nut is a good nut is determined according to the area difference.