Automatic Document Feeder Image Analysis for Scanning Setup
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Solution Overview
Problem
Users of information processing systems with image reading apparatuses face inefficiencies when setting up scanning operations, requiring multiple preview displays and user interventions to correct settings.
Innovation Solution
An information processing apparatus that captures images of an automatic document feeder and acquires information from an attached medium, using this data to estimate and instruct the image reading apparatus on the optimal scanning settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user manually configures scanning settings and performs preview displays to check settings, then the scanning operation can be executed, but the user must perform multiple preview displays and reset operations when errors are found, increasing the time and complexity of the scanning process
Solution Approach 1:
The system performs preliminary analysis of the document image to automatically determine and configure scanning settings before the actual scanning operation. The information processing apparatus analyzes the captured document image to detect document size, orientation, and type, then pre-configures the scanning settings based on this analysis, eliminating the need for manual setting configuration and multiple preview displays
Solution Approach 2:
The system enables self-service by allowing the scanning apparatus to automatically determine its own scanning settings based on the document image it captures. The apparatus autonomously analyzes the document characteristics and configures appropriate scanning parameters without requiring user intervention or multiple preview operations to verify settings
2Measurement precision
If the system requires user intervention to correct scanning settings, then accurate scanning can be achieved, but the ease of operation is reduced due to multiple reset and preview operations
Solution Approach 1:
The scanning system performs self-configuration by automatically analyzing the document image and determining appropriate scanning settings. The information processing apparatus detects document characteristics such as size, orientation, and type from the captured image, then autonomously configures the scanning parameters, completely eliminating the need for manual user intervention in setting configuration
Solution Approach 2:
The system uses feedback from the captured document image to automatically adjust and optimize scanning settings. The information processing apparatus analyzes the image data to detect document characteristics and uses this feedback information to configure appropriate scanning parameters, ensuring accurate scanning without requiring user input or multiple trial operations
3Productivity
If the system automatically estimates scanning settings from captured images, then user intervention is reduced and operational efficiency is improved, but the device complexity increases due to image analysis and setting estimation functions
Solution Approach 1:
The information processing apparatus performs multiple functions using a single integrated system: it captures the document image, analyzes the image to detect document characteristics, estimates scanning settings based on the analysis, and transmits the configured settings to the scanning apparatus. This multi-functional approach consolidates what would otherwise require separate devices into one unified system
Solution Approach 2:
The information processing apparatus serves as an intermediary between the document and the scanning apparatus. It captures the document image, performs analysis to determine scanning settings, and then transmits these settings to the scanning apparatus, acting as a mediator that simplifies the overall system architecture while enabling automatic setting configuration
Data Source
AI summary
An information processing apparatus includes an image sensor and circuitry. The image sensor captures an image of an automatic document feeder of an image reading apparatus with a document set on the automatic document feeder. The circuitry acquires information related to the automatic document feeder from an information medium placed on the image reading apparatus. Based on the captured image of the automatic document feeder and the acquired information, the circuitry estimates setting information of a reading operation performed by the image reading apparatus, and instructs the image reading apparatus to perform the reading operation on the document based on the estimated setting information.