Visual Marker Orientation Decoding for Real-Time Context Output
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Solution Overview
Problem
Existing AR code systems lack real-time interactivity and orientation awareness, requiring electronic devices for interaction, leading to inefficiencies and limited scalability, especially in environments where devices are not available.
Innovation Solution
A system that detects and decodes AR codes in real-time, determining their orientation relative to a reference axis, enabling context-based interaction and dynamic responses without device dependency, using image recognition and arctangent functions to calculate rotational angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional QR code scanning methods are used, then information retrieval is achieved, but real-time interactivity and orientation awareness are lost
Solution Approach 1:
The patent changes the parameter of orientation detection by calculating rotational angles of QR codes at different orientations (0°, 45°, 90°, 135°) relative to the camera axis. This enables the system to adaptively decode QR codes based on their rotational state, transforming a static scanning process into a dynamic, orientation-aware interaction system that provides real-time feedback.
2Extent of automation
If device-dependent scanning systems are used, then QR code decoding is achieved, but real-time interaction without electronic devices is lost
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically detects QR code orientation, calculates rotational angles, and decodes information without requiring manual device manipulation. The system serves itself by autonomously adapting to different QR code orientations and providing immediate decoded output, eliminating the need for users to manually adjust devices or applications.
Solution Approach 2:
The patent introduces a feedback mechanism where the system provides real-time decoded information based on detected QR code orientation. The feedback loop continuously monitors rotational angle changes and immediately updates the decoded output, enabling real-time interaction without requiring electronic device intervention from users.
3Productivity
If simple QR code detection is used, then decoding speed is improved, but contextual information based on orientation is lost
Solution Approach 1:
The patent segments the QR code detection process into distinct orientation categories (0°, 45°, 90°, 135°) based on rotational angle thresholds. By dividing the continuous orientation space into discrete segments, the system maintains fast decoding speeds while capturing contextual orientation information, as each segment corresponds to a specific decoding context.
Data Source
AI summary
The invention describes a real-time response capture system that uses image recognition technology to interpret markers based on their rotational orientation. The system includes four main components: a scanning device for capturing marker images, an orientation detection module that calculates rotation angles relative to a reference point, a decoding module that interprets the marker data considering its orientation to generate contextual outputs, and a data analysis module that processes these outputs into application-specific reports.