Document Table Video Analysis for Redundant Imaging Detection
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Solution Overview
Problem
In document reading systems, there is a challenge in detecting and managing documents that have already been read, especially when multiple small documents like business cards or receipts are placed on a document table, leading to repeated imaging without proper detection of previously read documents.
Innovation Solution
An information processing system that includes one or more processors to acquire a document table video and detect imaged documents by analyzing the video for remaining documents, preventing new imaging until the document is removed, and providing user notifications to manage the imaging process effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If continuous imaging is performed without detection, then imaging speed is maintained, but redundant imaging of already read documents occurs
Solution Approach 1:
The system performs preliminary detection of the document table state after imaging to identify already-read documents before the next imaging operation. This preliminary action prevents redundant imaging by detecting the presence of imaged documents on the document table, thereby avoiding wasted imaging operations while maintaining continuous workflow.
2Reliability
If document detection is implemented, then redundant imaging is prevented, but system complexity increases
Solution Approach 1:
The system introduces a document detection function as an intermediary component that bridges the imaging operation and document management. This mediator detects the state of the document table and provides information to control whether subsequent imaging should proceed, thereby preventing redundant imaging without requiring complex integrated systems.
3Productivity
If multiple small documents are placed simultaneously, then processing efficiency is improved, but detection accuracy decreases
Solution Approach 1:
The detection function segments the document table into multiple detection regions and processes each region independently to identify individual documents. This segmentation approach allows accurate detection of multiple small documents placed simultaneously by analyzing each document's position and characteristics separately, thereby maintaining detection accuracy while supporting batch processing efficiency.
Data Source
AI summary
An information processing system includes one or more processors configured to: acquire a document table video that is a video of a document table on which a document is placed and is obtained by an imaging device after the imaging device images the document table; and in a case in which the document table video includes an imaged document that is a document having been imaged by the imaging device, detect the imaged document.