Yarn Spindle Video Detection for Missing Trolley Positions
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Solution Overview
Problem
Existing methods for detecting yarn spindles are inefficient and require manual inspection, which is inefficient and not suitable for packaging processes.
Innovation Solution
A detection method and apparatus that uses video data to determine the presence of yarn spindles in a trolley, generating prompt information for missing spindles, thereby automating the inspection process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inspection is used to determine missing yarn spindles, then the inspection can be performed with simple equipment, but the inspection efficiency is low and labor costs are high
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated vision system using cameras and image processing algorithms. The system captures images of the trolley, processes them through computer vision techniques, and automatically identifies missing yarn spindles, substituting human labor with mechanical-optical-electronic systems.
Solution Approach 2:
The patent creates visual copies (images) of the actual yarn spindle arrangement on the trolley. By capturing multiple images from different angles and processing them, the system generates a digital representation that can be analyzed to detect missing spindles, allowing inspection without physically handling the spindles.
2Loss of time
If manual inspection is performed to identify specific missing yarn spindles, then the equipment remains simple, but time costs increase and the packaging process may be delayed
Solution Approach 1:
The patent performs preliminary imaging and analysis before the trolley departs for packaging. Multiple images are captured and processed in advance to identify any missing yarn spindles, allowing the inspection to be completed before the packaging process begins, thus preventing delays.
Solution Approach 2:
The patent replaces time-consuming manual inspection with automated image processing that can analyze multiple images simultaneously and rapidly identify missing spindles, dramatically reducing the time required for inspection and enabling faster throughput to the packaging process.
3Measurement precision
If multiple images are captured to cover the target area for accurate detection, then the detection accuracy improves, but the data processing complexity increases
Solution Approach 1:
The patent divides the inspection task into segments by capturing multiple images from different angles and positions. Each image covers a specific portion of the trolley, and the system processes these segmented images separately before integrating the results to achieve complete and accurate detection of the entire yarn spindle arrangement.
Solution Approach 2:
The patent merges multiple captured images into a comprehensive view of the trolley's yarn spindle arrangement. By combining information from multiple images taken at different angles and positions, the system creates a complete digital representation that enables accurate identification of missing spindles that might not be visible from a single viewpoint.
Data Source
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Figure 2(b)~2(c)
Figure 3(a)
AI summary
The present disclosure provides detection method and apparatus, an electronic device and a storage medium. The method includes: determining (S101, S301) a target area targeted by a target operation in a case where a target body in video data of a target trolley has the target operation, where the target trolley includes two areas, each of the two areas has N carriers for carrying yarn spindles, the target area is one of the two areas, and N is a positive integer; obtaining (S102, S302) a plurality of target images capable of covering the target area; determining (S103) a target yarn spindle targeted by the target operation based on the plurality of target images; and generating (S103, S307) prompt information for the target yarn spindle.