Light Field Imaging Array for Barcode Depth Detection
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Solution Overview
Problem
Barcode readers face limitations in depth of field and processing speed due to mechanical shocks and the computational complexity of light field imaging, making them unsuitable for high-throughput applications like grocery checkout counters.
Innovation Solution
A light field imaging array system that directly determines barcode depth from sensor readout, reducing processing time by avoiding Fourier transforms and focusing only on the barcode region, using image gradient operators and ray tracing for accurate refocusing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If light field imaging array systems are used to capture 4D images providing spatial and angular light ray information, then the depth of field is improved, but the processing time increases significantly
Solution Approach 1:
The patent segments the light field data processing by dividing the 4D light field into multiple 2D image stacks at different depths. Instead of processing the entire 4D dataset, the system processes individual 2D slices independently, significantly reducing computational complexity and processing time while maintaining extended depth of field capability.
Solution Approach 2:
The patent extracts only the necessary 2D image information from the 4D light field data at specific depth planes relevant to the barcode scanning task. By extracting and processing only the required depth slices rather than analyzing the complete 4D dataset, the system achieves fast processing speeds suitable for high-throughput barcode reading applications.
2Length of stationary object
If mechanical focusing systems are used in barcode readers, then the depth of field can be adjusted, but the system becomes vulnerable to mechanical shocks and lacks robustness
Solution Approach 1:
The patent replaces mechanical focusing systems with a computational approach using light field imaging arrays. Instead of physically moving lens elements to adjust focus, the system captures light field data and computationally refocuses at different depths, eliminating mechanical moving parts and improving robustness to shocks and vibrations in barcode scanning environments.
Solution Approach 2:
The patent implements dynamic focusing by computationally adjusting the focal plane through software processing of light field data. The system can rapidly switch between different depth planes without mechanical movement, providing adaptive depth of field adjustment that is both fast and mechanically robust.
3Productivity
If traditional 2D image sensors are used in barcode readers, then the processing speed is fast, but the depth of field is limited requiring precise user positioning
Solution Approach 1:
The patent transitions from traditional 2D image sensing to 4D light field imaging, adding two dimensions (angular information) to the data capture. This enables the system to extract depth information and refocus computationally, providing a large depth of field while maintaining fast processing speeds through efficient 2D slice processing.
Solution Approach 2:
The light field imaging system automatically determines depth information and performs computational refocusing without requiring user intervention for positioning. The system self-adjusts to focus on barcodes at various depths, eliminating the need for users to precisely position objects within a narrow depth of field.
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
This approach enhances the scanning time and durability of barcode readers, allowing for accurate barcode identification across multiple depths without the need for extensive image processing, making them suitable for high-throughput environments.
Implementation Method 1
Light field imaging array systems allow a user to capture four dimensional (4D) images that provide additional imaging information than can be provided by typical imaging systems. For example, a light field imaging array system can provide both spatial and angular light ray information.
Implementation Method 2
Two such technologies are lenslet based and camera array based light field systems.
Data Source
AI summary
Methods, devices, and systems for barcode imaging are described herein. One method includes capturing image data that is used to form an image with a light field imager, wherein the image includes a barcode, locating the barcode within the image, measuring a variance of at least a portion of the barcode region of the image, and refocusing at least a portion of the image based on the measured variance.