Yarn Trolley Image Comparison for Missed Spindle Detection
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Solution Overview
Problem
Existing manual sampling methods for yarn spindles are inefficient and have a high missed detection rate during the transportation and storage process, which can affect subsequent packaging processes.
Innovation Solution
A detection method and apparatus that utilizes image acquisition and mask plate processing to compare entering and leaving images of a trolley, obtaining detection information based on difference analysis of masked images to automate and reduce missed detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual sampling detection method is used on trolleys leaving the designated area, then the detection process is simple to implement, but the detection efficiency is low and the missed detection rate is high
Solution Approach 1:
The patent replaces the manual mechanical sampling detection method with an automated optical detection system using cameras and image processing algorithms. The system captures images of yarn spindles on trolleys, uses mask plates to define detection areas, and automatically compares images to detect missing spindles, thereby eliminating manual intervention and significantly improving both efficiency and accuracy
Solution Approach 2:
The patent creates visual copies (images) of the yarn spindles on the trolley at different time points (entering and leaving the designated area). By comparing these image copies, the system can detect any changes or missing spindles without physically handling or sampling the actual spindles,从而实现 automated detection with high accuracy
2Measurement precision
If manual sampling detection is performed, then the equipment complexity is low, but the detection coverage is insufficient and time-consuming
Solution Approach 1:
The patent divides the detection process into distinct segments: image acquisition phase (capturing trolley images at entry and exit), mask plate placement phase (defining specific detection areas), and image comparison phase (analyzing differences). This segmentation allows each component to be optimized independently while achieving comprehensive detection coverage
Solution Approach 2:
The patent introduces mask plates as intermediary elements that define the precise detection areas for yarn spindles. These mask plates serve as a bridge between the camera system and the actual spindles, enabling accurate localization and comparison without requiring complex direct measurement mechanisms
Data Source
AI summary
A detection method and apparatus, and a storage medium are provided, relating to a field of data processing technology. The method includes: obtaining a first entering image and a first leaving image when detecting that a target trolley leaves a target area; obtaining a target entering mask image of the first entering image and a target leaving mask image of the first leaving image, wherein the target entering mask image is obtained by using a mask plate to mask an area where each yarn spindle is located in the first entering image, and the target leaving mask image is obtained by using a mask plate to mask an area where each yarn spindle is located in the first leaving image; and obtaining detection information of the target trolley based on difference information between the target entering mask image and the target leaving mask image.