Document Scanner Input-Output Image Verification
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Solution Overview
Problem
Document scanners face inaccuracies due to deformation, dust, misalignment, and incorrect feature selection during the scanning process, particularly in high-speed operations, where prior art lacks effective verification methods tailored to scanning requirements.
Innovation Solution
A method involving an input tray for capturing a document image with an input imaging device, transmitting it to a processor, and comparing it with the output tray image to verify accuracy, adjusting settings as needed, and ensuring proper document stacking and tracking to prevent loss or damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-speed scanning is performed, then productivity is improved, but measurement precision deteriorates due to document deformation, dust, misalignment, and incorrect feature selection
Solution Approach 1:
The system performs preliminary actions by capturing an image of the document in the input tray before the document enters the scanning mechanism. This pre-scan image is used to identify document characteristics and verify the scanned output, allowing the system to prepare appropriate scanning features in advance and detect inaccuracies before they affect the final scan quality.
Solution Approach 2:
The system implements feedback by comparing the pre-captured input tray image with the scanned document image. The image processor analyzes both images to verify accuracy, and if discrepancies are detected (such as deformation, dust, or misalignment), the system can alert the operator or adjust scanning features to correct the inaccuracies.
2Manufacturing precision
If scanner features are adjusted for specific document types, then manufacturing precision is improved, but device complexity increases due to multiple settings and operator actions required
Solution Approach 1:
The system performs self-service by automatically capturing images of documents in the input tray and using image processing to identify document characteristics. The processor automatically determines appropriate scanning features based on the captured images, eliminating the need for manual operator configuration and reducing the complexity of scanner settings while maintaining high scan accuracy.
Solution Approach 2:
The system performs preliminary document analysis by capturing and processing images before scanning. This allows the system to pre-determine the appropriate scanning features based on document characteristics such as size, orientation, and condition, so that when the actual scanning occurs, the correct settings are already in place without requiring complex manual configuration.
3Reliability
If document characteristics are verified in real-time, then reliability is improved, but loss of time occurs due to additional verification steps
Solution Approach 1:
The system merges the verification function with the existing scanning process by using the same imaging hardware to capture both the pre-scan reference image and the scanned document image. The image processor simultaneously performs both verification and scanning functions, eliminating the need for separate verification steps and avoiding additional time loss while maintaining high document integrity.
Data Source
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AI summary
A document scanner (10) includes an input tray (30) for holding documents (20) and an input image capture device (40) for capturing images of the documents (20)in the input tray (30) prior to transporting the document for imaging; an output tray (150) for holding documents (20) after the documents (20) exit the scanner; an output image capture device (140) for capturing images of the output tray; an image processor for determining characteristics of the output tray or characteristic of the documents (20) before imaging and after the documents (20) exit the scanner; and scanner functions are modified based on the output tray characteristics or the document characteristics.