Mobile Ticket Virtual Sensor Context Detection
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Solution Overview
Problem
Current mobile ticket systems lack context-sensitive awareness, failing to adapt to changes such as event rescheduling or user attendance, leading to inappropriate actions by mobile devices when scanning barcodes.
Innovation Solution
A mobile terminal with a mobile ticket virtual sensor and context-aware engine that detects scanning activity and retrieves metadata to trigger appropriate actions based on the barcode and its context, enabling enhanced context-aware functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual updates are used to track event changes, then the mobile terminal can respond to rescheduling, but user convenience deteriorates due to required manual intervention
Solution Approach 1:
The mobile terminal automatically detects barcode scanning events and retrieves updated metadata without requiring user intervention. The system self-updates context information by monitoring light sensor data and automatically querying metadata sources, eliminating the need for manual user updates while maintaining accurate context-aware actions.
Solution Approach 2:
The system implements continuous feedback loops where the mobile terminal monitors barcode scanning status, retrieves metadata updates, and adjusts context-aware actions accordingly. The light sensor provides ongoing feedback about barcode presence, enabling the system to automatically respond to event changes and rescheduling without user input.
2Ease of operation
If context-aware actions are automatically triggered, then user experience improves, but device complexity increases due to additional sensors and processing
Solution Approach 1:
The mobile terminal's existing light sensor, originally designed for basic functions like ambient light detection, is repurposed to detect barcode scanning events. This multi-functional use of existing hardware avoids adding dedicated sensors, reducing overall system complexity while enabling automatic context-aware actions that improve user experience.
Solution Approach 2:
The system uses the mobile terminal's existing processing capabilities and metadata storage to automatically detect scanning events and trigger appropriate actions. By leveraging existing system resources rather than adding dedicated hardware components, the solution maintains simple device architecture while providing enhanced user experience through automatic context-aware responses.
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
The solution provides accurate and intelligent context-aware actions for mobile devices, ensuring appropriate responses to barcode scans, such as switching to airplane mode for airline tickets or vibrate mode for concert tickets, improving user experience by adapting to specific events and locations.
Implementation Method 1
Laser scanners and pen type readers are equipped with a light source and a photodiode. The light source focuses light of a predetermined frequency onto the bar code. The reflected light is detected by the photodiode
Data Source
AI summary
An apparatus and method for are provided. The method includes determining that a barcode displayed on a mobile terminal has been scanned, retrieving metadata corresponding to the barcode when the barcode has been scanned, and triggering a context-aware action in the mobile terminal based on the barcode and/or the retrieved metadata.