Dynamic Brightness Control for Barcode Targeting Illumination
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Solution Overview
Problem
Current smartphone barcode reading systems face challenges in efficiently capturing and decoding barcodes due to limitations in illumination control and image processing, particularly in varying light conditions and saturation levels, which affects the accuracy and speed of barcode detection.
Innovation Solution
A barcode reading system that includes a barcode reading accessory and application, which uses a white light source to produce specific bands of illumination and dynamically controls brightness based on the detectability of a targeting pattern in captured images, ensuring the pattern remains detectable while preventing saturation, and decodes barcodes positioned at the center of the targeting pattern.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the white light source brightness is increased to improve targeting pattern detectability, then the detectability of the targeting pattern is improved, but saturation of the image bands occurs
Solution Approach 1:
The system dynamically adjusts the brightness of the white light source based on real-time analysis of image band saturation levels and targeting pattern detectability. The processor continuously monitors the captured images and modifies illumination intensity accordingly, transitioning from static to dynamic control to resolve the contradiction between pattern detectability and image saturation.
Solution Approach 2:
The system implements a feedback mechanism where the processor analyzes the captured color image bands, determines saturation levels and pattern detectability, and uses this information to adjust the white light source brightness. This closed-loop feedback allows the system to automatically optimize illumination while preventing harmful saturation effects.
2Object-affected harmful factors
If the white light source brightness is decreased to prevent image saturation, then image saturation is prevented, but the detectability of the targeting pattern deteriorates
Solution Approach 1:
The system employs dynamic brightness adjustment rather than fixed illumination levels. By continuously adapting the white light source intensity based on environmental conditions and image quality metrics, the system maintains optimal detectability while preventing saturation, resolving the contradiction between these two requirements.
Solution Approach 2:
The system changes the illumination parameter (brightness intensity) based on analyzed image characteristics. When saturation is detected, the brightness parameter is reduced; when pattern detectability is insufficient, the brightness is increased. This parameter adaptation resolves the contradiction by optimizing illumination levels for different operating conditions.
3Measurement precision
If the brightness is dynamically adjusted to maintain pattern detectability, then barcode detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs self-adjustment of illumination brightness using its own captured images for analysis. The processor extracts saturation and detectability information from the images themselves, eliminating the need for external sensors or complex additional hardware. This self-service approach improves accuracy while minimizing the increase in system complexity.
Solution Approach 2:
The existing camera and processor are made multi-functional by using them for both barcode capture and illumination control decisions. The same image capture mechanism provides data for both primary function (barcode reading) and secondary function (brightness optimization), reducing overall system complexity while improving performance.
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 system enhances barcode detection accuracy and speed by maintaining the detectability of the targeting pattern across varying light conditions and saturation levels, allowing for efficient barcode reading and decoding, even in environments with limited ambient light.
Implementation Method 1
A barcode reading accessory may be configured to produce a targeting pattern in a target area when the barcode reading accessory is secured to the mobile device
Implementation Method 2
A white light source of the mobile device may emit illumination encompassing a first band of illumination, a second band of illumination, and a third band of illumination
Implementation Method 3
The barcode reading application may be executable by a processor of the mobile device to cause a camera of the mobile device to capture a color image of the target area
Data Source
AI summary
A barcode reading accessory may be configured to produce a targeting pattern in a target area when the accessory is secured to a mobile device. A frequency range of the targeting pattern may correspond more closely to a first band of illumination emitted by a light source of the mobile device than to a second band of illumination or a third band of illumination. A color image captured by the mobile device's camera may include a first sub-image providing information about the first band of illumination, a second sub-image providing information about the second band of illumination, and a third sub-image providing information about the third band of illumination. The barcode reading application may dynamically control brightness of the white light source based on detectability of the targeting pattern in the first sub-image and saturation of at least one of the first sub-image, the second sub-image, and the third sub-image.