Camera UI QR Code Detection With Contextual Notifications
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Solution Overview
Problem
Existing methods for handling data encoded in machine-readable format on touch-sensitive surfaces are cumbersome and inefficient, leading to a significant cognitive burden on users and excessive energy consumption, particularly in battery-operated devices.
Innovation Solution
Electronic devices with touch-sensitive displays and input devices are equipped with methods and interfaces that recognize and act upon data encoded in optical machine-readable formats, providing intuitive notifications and information display based on detection criteria, reducing the need for dedicated user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional mouse-based input methods are used to select and manipulate user interface objects, then users can perform operations on user interface objects, but the cognitive burden on users increases significantly and the operation becomes tedious
Solution Approach 1:
The system automatically detects machine-readable codes (such as QR codes, barcodes, or other optical codes) displayed on user interface objects and retrieves associated information or triggers actions without requiring users to manually interact with the objects. The system serves itself by autonomously interpreting the codes and executing the corresponding operations, thereby reducing the cognitive burden and simplifying the user interaction process.
Solution Approach 2:
The patent introduces machine-readable codes as an intermediary between the user interface objects and the user's intended actions. Instead of directly interacting with complex user interface objects, users simply capture or point at the codes, which then serve as mediators to convey information or trigger actions. This intermediary approach significantly reduces the cognitive burden by replacing complex manual manipulation with simple code-based interaction.
2Productivity
If sequence of mouse based inputs are used to select and perform actions on user interface objects, then operations can be completed, but the time required increases and energy is wasted
Solution Approach 1:
The system performs preliminary actions by pre-associating machine-readable codes with user interface objects and their corresponding actions or information. When a user captures or points at a code, the system has already prepared the associated data or action sequence, allowing for rapid retrieval and execution without requiring time-consuming sequential mouse operations. This preliminary preparation significantly reduces the time required for user interactions.
Solution Approach 2:
The patent replaces the mechanical sequence of mouse-based inputs (clicking, dragging, selecting) with an optical recognition system that uses image capture and code decoding. This substitution eliminates the need for repeated mechanical interactions and enables much faster information retrieval and action triggering, thereby reducing time consumption and improving productivity.
3Adaptability or versatility
If dedicated user interfaces are created for handling data encoded in machine-readable format, then data can be processed, but the interface complexity increases
Solution Approach 1:
The patent implements a universal interface that can handle multiple types of machine-readable codes (QR codes, barcodes, optical codes, etc.) and various data formats through a single unified system. Instead of creating separate dedicated interfaces for different code types, the system uses a general-purpose code recognition and processing framework that adapts to different data types, thereby reducing interface complexity while maintaining high versatility.
Solution Approach 2:
The system merges the functionality of multiple specialized interfaces into a single integrated code handling system. By combining code detection, data retrieval, action triggering, and information display into one unified interface framework, the patent reduces overall interface complexity while maintaining the ability to handle diverse machine-readable data formats and trigger various actions on user interface objects.
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
These methods and interfaces enhance user experience by reducing cognitive burden, improving operability, and conserving power, allowing faster and more efficient handling of data encoded in machine-readable formats.
Implementation Method 1
scanning the field of view of the camera for data encoded in an optical machine-readable format
Data Source
AI summary
An electronic device displays a media capture user interface that includes a media capture preview of objects in a field of view of the camera. While displaying the media capture user interface, the electronic device scans the field of view of the camera for data encoded in an optical machine-readable format. In accordance with a determination that the field of view of the camera includes data encoded in the optical machine-readable format that meets respective notification criteria, the electronic device displays a notification that indicates that the camera application has detected data encoded in the optical machine-readable format. In accordance with a determination that the field of view of the camera does not include data encoded in the optical machine-readable format that meets the respective notification criteria, the electronic device maintains display of the media capture user interface of the camera application without displaying the notification.