Multi-FOV Imaging Frame Exposure for Glare-Free Barcode Recognition
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Solution Overview
Problem
Conventional barcode scanning systems struggle to accurately and efficiently recognize both physical and digital symbologies due to high intensity illumination causing glare on digital displays, leading to decreased efficiency and increased power consumption.
Innovation Solution
An imaging system with multiple fields of view (FOVs) that alternates between illuminated and non-illuminated exposure periods to capture imaging data, allowing for simultaneous recognition of physical and digital symbologies without glare.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high intensity illumination is used to continuously acquire sufficient quality frames at high frame rate, then imaging quality is improved, but digital artifacts are interleaved with physical symbologies causing decreased recognition accuracy
Solution Approach 1:
The patent applies periodic action by alternating between illuminated exposure periods and non-illuminated exposure periods in a cyclic manner. During illuminated periods, the illumination source is active to capture physical symbologies; during non-illuminated periods, the illumination source is inactive to capture digital symbologies without glare. This periodic switching resolves the contradiction by preventing digital artifacts while maintaining imaging quality for both symbology types.
2Reliability
If conventional techniques scan items multiple times to improve recognition accuracy, then recognition reliability is improved, but power consumption increases and data streaming requirements increase
Solution Approach 1:
The patent implements continuity of useful action by continuously capturing both illuminated and non-illuminated frames in an alternating sequence within a single scanning pass. This eliminates the need for multiple separate scanning attempts, as both physical and digital symbologies are captured simultaneously in different exposure periods. The result is improved recognition reliability without the increased power consumption and data streaming requirements that would result from multiple scans.
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
Improves object recognition capabilities by reducing misidentification of digital symbologies while maintaining the ability to identify physical symbologies, reducing power consumption and computational resources.
Implementation Method 1
one or more imaging sensors corresponding to the first FOV and the second FOV and configured to capture imaging data
Data Source
AI summary
Methods for overlapping exposure of frames in imaging systems with multiple fields of view. An example imaging system includes: one or more illumination sources configured to illuminate two or more FOVs, one or more imaging sensors corresponding to the two or more FOVs, one or more processors, and one or more memories including computer-executable instructions that, when executed by the one or more processors, cause the imaging system to perform a data capture sequence including one or more data capture periods, wherein: each data capture period includes a first illuminated exposure period associated with a first FOV, at least one data capture period of the one or more data capture periods includes a first non-illuminated exposure period associated with the first FOV, and each data capture period includes a second illuminated exposure period associated with a second FOV.