Variable Data Capture Device Gesture Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data capture devices face interruptions and delays due to rigid data capture processes, particularly when variations occur, such as duplicate scans, which require manual intervention to correct.
Innovation Solution
A data capture device equipped with a trigger mechanism and gesture recognition system that allows for variable data capture processes, enabling the device to detect continued activation and identify gestures to perform specific data capture operations based on predefined patterns, thereby adapting to variations in the scanning process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a rigid data capture process is used for routine scanning, then the scanning speed and efficiency are improved, but the system becomes vulnerable to interruptions and delays when variations occur
Solution Approach 1:
The patent implements a dynamic data capture process that transitions from rigid routine scanning to an adaptive system. The processor monitors scan results and automatically adjusts the capture process based on variations detected, such as duplicate scans or out-of-stock conditions. This dynamic adaptation allows the system to maintain high productivity during routine operations while responding flexibly to exceptions, thereby resolving the contradiction between scanning speed and process continuity.
Solution Approach 2:
The system incorporates feedback mechanisms where scan results are continuously monitored and evaluated. When variations are detected (e.g., duplicate items, out-of-stock scenarios), the feedback loop triggers automatic process adjustments or alerts appropriate personnel. This feedback-driven approach ensures that the high-speed scanning process remains reliable by continuously adapting to actual conditions rather than following a fixed rigid protocol.
2Ease of operation
If manual intervention is required to correct variations in data capture, then operational simplicity is maintained, but time loss and efficiency reduction occur
Solution Approach 1:
The patent implements self-service automation where the system automatically detects and corrects common variations without requiring manual intervention. The processor identifies duplicate scans, out-of-stock conditions, and other variations, then automatically adjusts the capture process or notifies appropriate personnel. This self-service capability maintains operational simplicity for users while eliminating time-consuming manual corrections, directly resolving the contradiction between ease of operation and time loss.
3Adaptability or versatility
If a variable data capture process is implemented to handle variations, then adaptability and error reduction are improved, but device complexity increases
Solution Approach 1:
The patent applies multi-functionality by enhancing the existing data capture device with integrated processors and communication modules that can handle multiple functions: routine scanning, variation detection, automatic process adjustment, and communication with external systems. Rather than adding separate complex systems, the existing components are made multi-functional, allowing the device to adapt to various scenarios while managing complexity through unified architecture.
Solution Approach 2:
The system performs preliminary actions by pre-configuring the processor with rules and thresholds for detecting variations. The adaptability framework is established in advance with predefined response protocols for common variations. This preliminary preparation allows the system to handle diverse scenarios flexibly without requiring complex real-time decision-making, thereby achieving high adaptability while controlling system complexity through pre-established frameworks.
Data Source
AI summary
A method and apparatus for performing a variable data capture process at a data capture device comprising a data capture module and a trigger mechanism is provided. In operation, the data capture device detects an initial activation of the trigger mechanism. In response to the activation, data capture is initiated at the data capture module. A continued activation of the trigger mechanism subsequent to the initial activation is also detected. Following the detection of the continued activation of the trigger mechanism, the device identifies an obtained gesture and performs a data capture operation based on the identified gesture.