Curved Container Label Offset Detection Without Fixture Rotation
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Solution Overview
Problem
Existing methods for detecting labels on curved containers on an automatic production line require frequent fixture rotations, reducing manufacturing efficiency and allowing only rough detections, especially when higher manufacturing rates are needed.
Innovation Solution
A method using a camera device and guide rails to capture images of curved containers, with reference points marked on the containers, employing regression analysis to predict distances between points and compare actual and predicted values to determine label offset, thereby improving detection precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixture is used to rotate the curved container for label detection, then the label position can be determined, but the manufacturing efficiency is reduced due to frequent fixture operations
Solution Approach 1:
The patent replaces the mechanical fixture rotation system with an optical detection system. A camera captures images of the curved container, and through image processing and coordinate transformation algorithms, the label position is determined without physically rotating the container. This substitution eliminates the time-consuming mechanical operations while maintaining detection accuracy.
Solution Approach 2:
The patent performs preliminary marking of reference points on the curved container surface. These pre-marked reference points enable the detection system to calculate label positions based on image coordinates and geometric relationships, eliminating the need for real-time container rotation during detection.
2Measurement precision
If fixture operations are performed frequently for label detection, then accurate label positioning is achieved, but detection time increases
Solution Approach 1:
The patent replaces time-consuming mechanical rotation operations with rapid optical imaging and computational analysis. The camera captures the container image instantaneously, and coordinate transformation algorithms quickly calculate the label position, dramatically reducing detection time while maintaining precision.
Solution Approach 2:
The patent creates a two-dimensional image copy of the three-dimensional curved container surface. By capturing the container image and mapping the label position onto this 2D representation through coordinate transformations, the system achieves accurate positioning without physical manipulation of the container.
3Productivity
If rough detection methods are used for high manufacturing rates, then production speed is maintained, but detection precision is reduced
Solution Approach 1:
The patent replaces rough mechanical detection methods with precise optical imaging and mathematical calculation systems. The camera-based system captures detailed images, and coordinate transformation algorithms accurately determine label positions, achieving high precision detection that operates as quickly as the production line moves containers.
Data Source
AI summary
A method, a device, and a non-transitory computer readable medium for detecting label on curved container, includes obtaining a first image, the first image comprising a label on the curved container; obtaining a plurality of reference points in the first image; obtaining a first width of the curved container and first position data of the label according to the plurality of reference points; determining whether the curved container is rotated according to the first width and a predetermined standard width; when the curved container rotated being determined, predicting a second width of the curved container according to the first position data and a predetermined regression equation; and determining whether the label is offset according to the first width and the second width.