Imaging Terminal Barcode Orientation Detection
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Solution Overview
Problem
Image sensor based data terminals face processing delays due to increased pixel values from higher resolution images, making it challenging to efficiently decode and orient decodable indicia in documents with varying sizes and orientations within frames of image data.
Innovation Solution
An indicia reading terminal with a two-dimensional image sensor array and optical assembly, capable of capturing and processing images to determine document orientation using barcode orientation, involves cropping, distortion correction, and formatting to ensure proper image representation and storage/display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If higher resolution image sensor arrays are used to capture document images, then image quality and detail representation are improved, but processing delays increase due to the larger number of pixel values that must be analyzed
Solution Approach 1:
The patent divides the high-resolution image processing task into segments by first detecting the document region to identify a smaller area of interest, then processing only that segmented region rather than the entire high-resolution frame. This segmentation approach maintains the ability to capture detailed document images while reducing the computational burden by focusing processing resources on the relevant portion only.
Solution Approach 2:
The patent extracts the document region from the larger image frame by analyzing pixel value variations and identifying the boundaries of the document. Once extracted, this smaller region is processed separately, removing the unnecessary computational overhead of analyzing the entire high-resolution frame and thereby reducing processing delays while preserving document image quality.
2Loss of information
If the terminal processes the entire frame of image data, then complete image representation is achieved, but processing efficiency decreases when documents occupy only a portion of the frame
Solution Approach 1:
The patent extracts the document region from the larger image frame by analyzing pixel value variations and identifying the boundaries of the document. Once extracted, this smaller region is processed separately, removing the unnecessary computational overhead of analyzing the entire high-resolution frame and thereby reducing processing delays while preserving document image quality.
Solution Approach 2:
The patent performs preliminary detection of the document region before conducting full processing. By first identifying the area occupied by the document through analysis of pixel value changes and boundary detection, the system prepares the image data in advance by cropping to the relevant region, which streamlines subsequent processing steps and improves overall efficiency.
3Adaptability or versatility
If documents of varying sizes and orientations are captured within a fixed frame, then versatility in document scanning is improved, but determining the correct orientation and cropping becomes more complex
Solution Approach 1:
The patent implements self-service by enabling the imaging terminal to automatically detect document orientation and boundaries without requiring manual intervention. The system analyzes pixel value variations within the captured frame to autonomously identify the document region, determine its orientation, and perform appropriate cropping, thereby handling documents of varying sizes and orientations while maintaining straightforward processing.
Solution Approach 2:
The patent utilizes parameter changes in pixel values to detect document boundaries and orientation. By monitoring changes in pixel intensity and patterns across the image frame, the system dynamically adjusts its understanding of document positioning and rotation, enabling it to adapt to various document formats and orientations through automated parameter analysis rather than complex manual configuration.
Data Source
AI summary
Embodiments of an image reader and/or methods of operating an image reader can capture an image, identify a bar code or IBI form within the captured image, and, store or display the captured image responsive to an orientation of the bar code.