Vector Image Processing for Transaction Card Laser Etching
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Solution Overview
Problem
Traditional transaction cards face limitations in image quality due to the use of digitized image formats, leading to poor resolution and increased data processing requirements, which can compromise fraud prevention and security.
Innovation Solution
The use of a vector image format for capturing and laser etching images on transaction cards, along with a visible information engine that captures, maps, and converts images into scalable vector graphics, enhances image fidelity and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If digitized image formats (bitmap, raster, flat image) are used for card imaging, then image representation is achieved, but image quality deteriorates due to aliasing, blur, pixelation, and loss of sharpness
Solution Approach 1:
The patent replaces the mechanical bitmap-based image representation system with a vector-based system using mathematical equations to define image boundaries. This substitution eliminates the need for pixel grids and allows laser machining systems to follow precise mathematical paths, resulting in sharper, more accurate images without aliasing or pixelation effects.
Solution Approach 2:
The patent changes the fundamental parameters of image representation from discrete pixel values (bitmap) to continuous mathematical functions (vector). By using equations to define image boundaries and features, the system achieves scalable, high-resolution images that maintain quality at any size while reducing data requirements compared to high-resolution bitmaps.
2Manufacturing precision
If higher resolution image formats are used to improve image quality, then image fidelity improves, but data requirements and processing complexity increase beyond laser machining capabilities
Solution Approach 1:
The patent replaces complex high-resolution bitmap data processing with simple vector equation processing. Instead of handling large matrices of pixel values, the laser machining system processes compact mathematical equations that define image geometry, dramatically reducing computational requirements while enabling arbitrarily high resolution through precise mathematical calculation.
Solution Approach 2:
The patent inverts the traditional approach by not starting with a high-resolution bitmap and attempting to process it, but rather starting with simple mathematical equations and generating the image through calculation. This inversion allows the system to achieve high resolution without the data burden, as the equations inherently define the image at any resolution level.
3Ease of manufacture
If continuous-element laser machining processes are used instead of matrix printing, then manufacturing flexibility improves, but image quality deteriorates due to approximation of image boundaries
Solution Approach 1:
The patent replaces the continuous-element approximation approach with a mathematical equation-based approach. Instead of using continuous motion to approximate image boundaries, the system uses precise mathematical equations that exactly define the boundaries, allowing the laser to follow accurate paths while maintaining manufacturing flexibility.
Solution Approach 2:
The patent creates a universal image representation system using mathematical equations that can be processed by both traditional matrix printing systems and continuous-element laser machining systems. This universal approach allows the same vector data to be used across different manufacturing methods, maintaining flexibility while achieving high precision through mathematical accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the quality and fidelity of visible information on transaction cards, enhancing fraud prevention and security while meeting higher consumer standards for card quality.
Implementation Method 1
laser machining system (i.e., laser machine) to etch higher resolution images
Data Source
AI summary
A transaction card construction and computer-implemented methods for a transaction card are described. The transaction card has vector-formatted visible information applied by a laser machining system. In some embodiments, systems and methods are disclosed for enabling the sourcing of visible information using a scalable vector format The systems and methods may receive a request to add visible information to a transaction card and capture an image of the visible information. The systems and methods may capture data representing the image. The systems and methods may also determine an ambient color saturation of the image. Further, systems and methods may translate the image based on the ambient color saturation of the image. The systems and methods may also map the translated image to a bounding box and convert the mapped image into vector format. In addition, the systems and methods may provide the converted image to a laser machining system.