Barcode Scanning and Dimensioning Using 3D Depth Data
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Solution Overview
Problem
Current measurement technologies in the logistics industry face challenges in accurately determining package dimensions and reading barcodes, especially in scenarios where traditional imaging scanners struggle with depth perception and focus adjustment, leading to inefficiencies in data capture and processing.
Innovation Solution
A system combining a 2D camera and a 3D camera, where the 3D camera provides depth data to assist the 2D camera in focusing and capturing barcodes, allowing for precise dimensioning and barcode reading by processing both digital images and depth data, enabling optimal positioning and resolution adjustment based on the depth information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a traditional 2D imaging scanner is used to scan barcodes, then the device complexity is low, but the measurement precision and focus accuracy deteriorate due to inability to perceive depth
Solution Approach 1:
The patent combines a 2D camera and a 3D camera into a single imaging device. The 3D camera captures depth information while the 2D camera captures barcode images. By merging these two camera systems, the device achieves both depth perception and barcode scanning capabilities, resolving the contradiction between scanning accuracy and device complexity.
Solution Approach 2:
The imaging device is designed to perform multiple functions: the 3D camera provides depth measurement and focus guidance, while the 2D camera handles barcode scanning. This multi-functional design allows a single device to address both depth perception requirements and barcode reading needs, improving measurement precision without proportionally increasing complexity.
2Productivity
If manual focus adjustment is used in traditional imaging scanners, then the device complexity is low, but the productivity deteriorates due to time-consuming focus adjustment
Solution Approach 1:
The system uses the 3D camera to continuously capture depth information and provides real-time feedback to the autofocus mechanism. Based on the depth data, the system automatically adjusts the 2D camera's focus position, eliminating manual intervention and significantly improving data capture efficiency while maintaining manageable system complexity through automated control.
Solution Approach 2:
The 3D camera performs preliminary depth measurement before barcode scanning. This advance depth information allows the system to pre-adjust the focus position of the 2D camera, ensuring optimal focus is achieved automatically before the actual scanning operation, thereby improving productivity without requiring complex real-time adjustment systems.
3Adaptability or versatility
If fixed resolution imaging is used, then the device complexity is low, but the adaptability deteriorates due to inability to adjust to different depths
Solution Approach 1:
The imaging system dynamically adjusts the resolution and focus parameters of the 2D camera based on real-time depth information from the 3D camera. This dynamic adaptation allows the system to automatically optimize imaging parameters for objects at different depths, significantly improving versatility while keeping the control system manageable through automated parameter adjustment based on depth feedback.
Data Source
AI summary
Implementations relate to a device and method for barcode scanning and dimensioning. In some implementations, the method includes acquiring a two-dimensional (2D) preview image of an object, and processing the 2D preview image to determine one or more dark areas and to determine a location of a code on the object. The method also includes acquiring a three-dimensional (3D) image of the object based on the one or more dark areas, and processing the 3D image to determine depth data and to determine dimensions of the object. The method also includes acquiring a 2D data capture image of the object based on the depth data in the processed 3D image, where the 2D data capture image captures the code. The method also includes reading the code based on the 2D data capture image.