Code Reader Object Detection Threshold Configuration
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Solution Overview
Problem
Conventional code readers often experience false positives and reduced usability due to their sensitivity to movements in the field-of-view, particularly in the far field, which can lead to unnecessary activation of the scanning phase, and lack adaptability to different scenarios without additional hardware.
Innovation Solution
A code reader with a configurable object detection threshold, expressed as a percentage of the image area, that requires a specific amount of change to trigger the scanning phase, reducing false positives and improving usability by distinguishing between near and far-field activities without additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the code reader uses high sensitivity object detection to trigger scanning phase, then object detection capability is improved, but false positives increase due to sensitivity to far-field movements
Solution Approach 1:
The patent applies parameter changes by introducing a configurable threshold parameter that defines the minimum percentage of image area change required to trigger object detection. This parameter adjustment allows the system to filter out minor far-field movements while still detecting significant near-field objects, thereby reducing false positives while maintaining detection capability.
2Reliability
If the code reader activates scanning phase frequently to ensure object detection, then detection reliability is improved, but usability deteriorates due to unnecessary activations
Solution Approach 1:
The patent changes the triggering parameter from a simple motion detection to a configurable threshold-based area change detection. By setting the threshold to require a significant portion of the image area to change, the system maintains high detection reliability for actual objects while avoiding unnecessary scanning phase activations that would degrade usability.
3Reliability
If the code reader uses low threshold for object detection, then false positives are reduced, but detection capability deteriorates by missing small or distant objects
Solution Approach 1:
The patent applies dynamics by making the detection threshold configurable rather than fixed. This dynamic parameter allows the system to adapt to different detection needs - increasing sensitivity when small objects need detection and decreasing sensitivity when false positives from far-field movements are the concern, thus maintaining detection accuracy across varying scenarios.
Solution Approach 2:
The patent uses parameter changes by implementing a configurable threshold that can be adjusted to balance false positive reduction with detection accuracy. The threshold parameter controls the minimum image area change percentage required for detection, allowing optimization for specific application scenarios.
4Measurement precision
If the code reader requires additional hardware to distinguish near and far field activities, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent replaces the mechanical/optical approach of using additional hardware (such as multiple sensors or complex optical systems) with a software-based image processing approach. By analyzing the percentage of image area change and comparing it against a configurable threshold, the system achieves near-far field distinction capability without adding hardware complexity.
Solution Approach 2:
The patent uses a software model (image analysis) to replicate the functionality that would otherwise require additional hardware. Instead of adding physical sensors or optical components to distinguish near and far field, the system creates a virtual model by processing the existing image data and detecting area changes.
Data Source
AI summary
A code reader includes an imager configured to capture an image, and a processor operably coupled to the imager. The processor performs an object detection operation having a configurable triggering threshold that may be set, at least in part, based on an amount of changes needed to be detected in order to trigger a positive result for object detection. The processor also initiates a scanning phase for the code reader to read and decode an indicia responsive to the positive result being achieved by the object detection operation.


