QR Code Generation with Environmental Zone for Aesthetic Design
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Solution Overview
Problem
The widespread adoption of QR codes is hindered by the need for encoded instructions to follow regimented protocols, which can be disrupted by aesthetic designs, potentially interfering with smartphone scanning and interpretation.
Innovation Solution
A software platform generates QR codes with a data zone, position detection patterns, and an environmental zone, using a processor to construct the QR code while ensuring 5:4 contrast ratios and limiting colors to red, blue, and black, and eliminating near-white colors, while also incorporating user-selected logos and design elements without compromising scanability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Shape
If aesthetic designs are incorporated into QR codes, then visual appeal and branding are improved, but scanability and interpretation reliability deteriorate
Solution Approach 1:
The QR code is divided into distinct functional zones: a data zone containing machine-readable instructions that must follow regimented protocols, and an environmental zone surrounding it where aesthetic designs, logos, and branding elements can be placed. This segmentation allows the core scanning function to remain reliable while permitting creative customization in non-interfering areas.
Solution Approach 2:
Different regions of the QR code are assigned different functional qualities. The central data zone maintains strict protocol adherence for reliable scanning, while the peripheral environmental zone allows for aesthetic variations, color customization, and design elements. This local differentiation resolves the contradiction by allowing aesthetic freedom where it doesn't compromise scanability.
2Reliability
If regimented protocols are followed for QR code encoding, then scanability is maintained, but design flexibility and customization are limited
Solution Approach 1:
The QR code structure is segmented into a data zone that must follow regimented protocols for reliable scanning, and an environmental zone that provides flexibility for design customization. This segmentation enables both scanability maintenance and design adaptability to coexist.
Solution Approach 2:
The patent adds a spatial dimension to QR code design by creating an environmental zone surrounding the data zone. This additional dimensional space allows design flexibility and customization without interfering with the core data encoding region, thereby resolving the contradiction between protocol adherence and design versatility.
3Adaptability or versatility
If color customization is allowed in QR codes, then branding and aesthetics are enhanced, but contrast ratios and scan reliability may be compromised
Solution Approach 1:
Color customization is permitted locally in the environmental zone where aesthetic variations can be applied without affecting scan reliability. The data zone maintains strict color protocols to ensure proper contrast ratios and scanning accuracy, while the environmental zone allows for branding colors and aesthetic customization.
Solution Approach 2:
The environmental zone acts as an intermediary between the rigid data zone and the desire for color customization. It provides a buffer region where branding colors and aesthetic elements can be placed without directly interfering with the machine-readable data zone, thus mediating between color versatility and scan reliability.
Data Source
AI summary
Apparatus and methods for mining a Uniform Resource Locator (“URL”) are provided. A method according to the embodiments includes generating a quick-response (“QR”) code including a data zone, a position detection pattern and an environmental zone. The method further includes storing an application programming interface (“API”) in a memory. The API is for retrieving a Uniform Resource Locator (“URL”) from a selected location. The URL includes a logo. The method also includes building the data zone, the position detection pattern and the environmental zone of the QR code based on the URL—and creating dark and light color categorization of a plurality of colors derived from the URL.