Image Scaling for Framed Photos Using Mat Window Dimensions
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Solution Overview
Problem
Current processes for creating custom framed images are inefficient, requiring customized assembly of printed images, mats, and frames for each order, which lacks standardization and leads to inefficiencies in production and fulfillment.
Innovation Solution
A system and method where the image size is determined based on selected frame and mat parameters, using rule-based or machine learning models to scale the image to match the dimensions of the mat window, allowing for standardized production while maintaining customer customization options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If customized assembly of printed images, mats, and frames is performed for each order, then customer customization options are provided, but production efficiency and fulfillment speed deteriorate
Solution Approach 1:
The patent applies parameter changes by determining image size based on selected frame and mat parameters rather than creating custom frames for each order. The system calculates the required image dimensions from the mat window dimensions and frame size selections, allowing standardized production processes to be used while still accommodating customer customization preferences. This transforms the approach from custom physical assembly to parameter-based image scaling.
2Adaptability or versatility
If pre-printed paper copies of various images are used, then image selection variety is provided, but the need for customized matting and framing increases
Solution Approach 1:
The patent extracts the customization requirement from the physical framing process and applies it only to the image selection and scaling stage. By determining the image size based on the selected mat and frame parameters, the system separates the customization need (image dimensions) from the physical assembly process, which can then be standardized. This reduces the complexity of customized matting and framing while preserving image selection variety.
3Productivity
If standardization is implemented in the framing process, then production efficiency is improved, but customer customization options are reduced
Solution Approach 1:
The patent applies universality by creating a sizing system that works across all frame and mat combinations. The image size determination method is universal and can be applied to any selected frame style, frame size, and mat style combination. This single standardized process replaces multiple custom assembly procedures while still accommodating diverse customer preferences through the flexibility of the parameter-based calculation approach.
Data Source
AI summary
This application relates to systems and methods for scaling and assembling framed images, and to offering the framed images for purchase. In some embodiments, a computing device is configured to receive a first customer selection of a frame style and a frame size, where the frame size indicates dimensions of a frame window. The computing device is also configured to receive a second customer selection of a mat style. Further, the computing device is configured to determine, based at least on the dimensions of the frame window and the mat style, a mat size, where the mat size includes dimensions of a mat window. The computing device is also configured to determine, based at least on the dimensions of the mat window, an image size for an image. For example, the computing device may execute a rule-based model, or a machine learning model, to determine the image size.