Barcode Scanner Image Processing Using Laser Aimer Position
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Solution Overview
Problem
Scanning devices face inefficiencies and inaccuracies in data capture and image processing due to inefficient computation of distance between the optical engine and the barcode, often misidentifying noise dots as laser aimer patterns, leading to incorrect filter selection and increased decoding time.
Innovation Solution
The system identifies the laser aimer position in multiple captured frames to determine the distance between the optical engine and the barcode, using pixel analysis to accurately compute this distance and improve image processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional distance computation methods are used, then the scanning device can operate without additional complexity, but the decoding time increases and accuracy decreases due to misidentifying noise dots as laser aimer patterns
Solution Approach 1:
The patent applies preliminary action by capturing multiple frames before the actual decoding process and performing pixel analysis in advance to identify the laser aimer pattern position. This preliminary identification of the laser aimer pattern in captured frames allows the system to compute distance accurately before decoding begins, preventing misidentification of noise dots and reducing overall decoding time.
2Reliability
If traditional image processing is performed without distance computation, then the processing is simpler, but the filter selection is incorrect leading to reduced decoding accuracy
Solution Approach 1:
The patent replaces traditional mechanical or rule-based filter selection with a computational approach. By using pixel analysis to determine the laser aimer pattern position and computing the distance between the optical engine and barcode, the system automatically selects appropriate filters for deconvolution and decoding. This substitution of computational methods for traditional approaches improves reliability while managing complexity through algorithmic processing.
3Measurement precision
If multiple frames are captured and analyzed, then the laser aimer position can be accurately determined, but the computing resource usage increases
Solution Approach 1:
The patent applies the extraction principle by isolating and analyzing only the relevant portions of the captured frames. Instead of processing entire images, the system extracts pixel data specifically from regions where the laser aimer pattern is expected to appear and performs differential analysis on these extracted portions. This selective extraction reduces computing resource usage while maintaining accurate distance computation.
Data Source
AI summary
Image processing for scanning devices based on laser aimer position, wherein a first frame and a second frame of image data related to an object associated with a barcode are captured using a scanning device. A difference between first pixel data for a first grouping of pixels associated with the first frame and second pixel data for a second grouping of pixels associated with the second frame is computed. Additionally, a location of a laser aimer pattern in the first frame or the second frame is determined based on a comparison between respective differences between the first pixel data for the first grouping of pixels and the second pixel data for the second grouping of pixels, where the laser aimer pattern is created by the scanning device.