Cylindrical Object Authenticity via Multi-Angle Image Stitching
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Solution Overview
Problem
Existing methods for identifying the authenticity of cylindrical objects are inefficient and require additional markers or tags, and image recognition methods struggle with cylindrical objects due to the lack of planar surfaces, making reliable identification difficult, especially for objects with curved cross-sections.
Innovation Solution
A method involving the acquisition of multiple photographic images from different angles around the cylinder axis, generating a target image through image stitching, and analyzing it against a reference image to determine authenticity, without the need for additional markers or tags.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If image recognition methods are used with single images, then identification speed is improved, but identification reliability deteriorates due to inability to capture all view angles of cylindrical objects
Solution Approach 1:
The identification process is segmented into multiple image capture steps, each capturing a different view angle of the cylindrical object. Multiple images are taken at different rotations around the cylinder axis, then combined through stitching to form a complete representation for reliable authentication
Solution Approach 2:
The solution transitions from two-dimensional single image analysis to a multi-dimensional approach by capturing images around the entire cylinder axis (360 degrees). This adds the dimension of rotational coverage, ensuring all surfaces of the cylindrical object are examined for authentication
2Reliability
If multiple images from different angles are captured and stitched, then identification reliability is improved, but processing time and complexity increase
Solution Approach 1:
Reference images of authentic cylindrical objects are pre-captured and stored in a database before actual authentication is needed. During authentication, the captured images are compared against these pre-prepared reference images, eliminating the need to process and analyze reference data in real-time
Solution Approach 2:
The system creates a stitched composite image that replicates a standardized view format from multiple captured images. This copied standardized format enables direct comparison with reference images stored in the database, simplifying the matching process and reducing computational complexity
3Adaptability or versatility
If additional markers or tags are added to cylindrical objects, then identification capability is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The cylindrical object itself serves as the identification carrier through its inherent geometric features and surface properties. The authentication system uses the object's own shape, curvature, and visual characteristics captured from multiple angles, eliminating the need for external markers, tags, or additional identification components
4Measurement precision
If images cover all view angles of cylindrical objects, then identification accuracy is improved, but the number of images required increases
Solution Approach 1:
Multiple images captured from different view angles around the cylindrical object are merged through image stitching to create a single comprehensive composite image. This merged image contains information from all view angles, providing complete surface coverage for accurate authentication while reducing the number of images that need to be stored and processed
Data Source
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AI summary
The invention relates to a method, mobile user device and system for identifying authenticity of a cylindrical object (10) from photographic images. The method comprises acquiring two or more photographic images (40, 50, 51, 52, 53, 54) of the cylindrical object (10) from different angles around the cylinder axis (A) with an imaging device (30), generating a target image (70) from the two or more photographic images (40, 50, 51, 52, 53, 54) by image stitching, analysing the target image (70) in relation to a reference image (90) representing an original cylindrical object and generating an identification output based on the analysing, and generating an authenticity identification indication based on the identification output.