Yarn Spindle Image Detection for Fast Trolley Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for locating yarn spindles in dyeing processes are inefficient and inaccurate, leading to low processing efficiency due to manual searching.
Innovation Solution
A detection method and apparatus using a target prompt word and a target detection model to identify the position of yarn spindles in images of a trolley, enabling automatic and accurate positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual searching method is used to locate yarn spindles, then the system complexity is low, but the processing efficiency and location accuracy are poor
Solution Approach 1:
The patent replaces the manual mechanical searching method with an automated image-based detection system. A detection model processes images of the parking area to automatically identify and locate yarn spindles, substituting human visual search and physical retrieval with computational image analysis and automated positioning, thereby dramatically improving processing efficiency
Solution Approach 2:
The patent creates a digital copy (image) of the physical parking area containing yarn spindles. By capturing and processing images of the parking area, the system creates a virtual representation that can be analyzed computationally to locate yarn spindles, enabling automated detection without direct physical interaction with the storage area
2Measurement precision
If manual searching method is used to locate yarn spindles, then the equipment cost is low, but the location accuracy and speed are poor
Solution Approach 1:
The patent replaces manual visual search and estimation with automated image processing and detection algorithms. The detection model precisely identifies yarn spindle positions by analyzing image features, providing accurate location information through computational methods rather than human judgment, thereby significantly improving measurement precision
Solution Approach 2:
The patent introduces images as an intermediary between the yarn spindles and the detection system. Instead of directly observing or interacting with the physical yarn spindles, the system captures their visual representation and processes this intermediate digital form to determine location, enabling precise measurement through indirect but accurate observation
Data Source
AI summary
Provided is a detection method, including: obtaining a prompt word used to indicate to find a yarn spindle; obtaining multiple images of a trolley where the yarn spindle indicated by the prompt word is located, a first image among the multiple images including all yarn spindles carried by a first carrying area among two carrying areas included in the trolley, and a second image among the multiple images including all yarn spindles carried by a second carrying area among the two carrying areas; and inputting the multiple images and the prompt word into a target detection model to obtain a output image indicating a position of the yarn spindle; where the target detection model is able to identify yarn spindles in an input image based on the yarn spindle indicated by the prompt word to obtain an image indicating the position of the yarn spindle.