Document Scanning Sleeve for Multi-Page Identification
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Solution Overview
Problem
Current document scanning processes for business services are inefficient, requiring manual handling and processing of multiple documents, which is time-consuming and labor-intensive, especially when dealing with documents of varying sizes and orientations, and existing systems cannot differentiate between multiple documents during scanning.
Innovation Solution
A method and system that utilizes a sleeve to hold multiple documents, allowing for simultaneous scanning of both sides in a single operation, with dimensional and content-based tagging to identify and process each document automatically, reducing the need for manual entry and improving archival and retrieval efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple documents are scanned one at a time, then each document can be processed individually, but the scanning process becomes tedious and time-consuming
Solution Approach 1:
The patent combines multiple documents into a single scanning operation by placing them on a shared platen surface with different orientations. The system scans all documents simultaneously in one pass, then uses image processing to separate and identify each document individually, thus merging the scanning process while maintaining identification accuracy
Solution Approach 2:
The patent segments the scanned image into multiple individual document regions by detecting edges, lines, and text patterns. This segmentation allows the system to process each document separately for identification and tagging while having scanned them all together, reducing total scanning time
2Loss of information
If documents are manually entered and tagged, then document types can be identified, but significant effort and time are required
Solution Approach 1:
The system performs automatic document type identification and tagging without human intervention. It analyzes the scanned document images, detects characteristic features such as text patterns, layouts, and content, and automatically assigns appropriate tags and metadata to each document, making the system self-sufficient in information extraction
Solution Approach 2:
The patent replaces manual mechanical processes (handwriting, physical filing, visual inspection) with automated optical and computational systems. Image recognition algorithms and pattern matching software automatically identify document types and generate digital tags, substituting human cognitive and manual labor with computational processes
3Device complexity
If conventional scanning systems are used, then scanning operation is simple, but the systems cannot identify when two different documents are placed or queued for scanning
Solution Approach 1:
The patent introduces an intermediary image processing and analysis layer between the simple scanning operation and document identification. This intermediary system detects document boundaries, separates individual documents from the scanned image, and feeds processed information to the identification algorithms, enabling automatic identification without significantly complicating the overall system
Data Source
AI summary
An embodiment discloses a method utilizing a device for handling multiple documents during scanning. The method includes receiving multiple documents on or within a sleeve to enable scanning of at least one of a first side and a second side of each of the documents in a single scanning operation. The method includes identifying one or more dimensional characteristics of the sleeve and each document arranged on or within the sleeve. The method further includes scanning at least one of the first side and the second side of each document. Moreover, the method includes tagging the scanned documents based on at least one of content characteristics and the dimensional characteristics of the documents.