Image Reading Device Job Filtering via Group ID Segmentation
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Solution Overview
Problem
In large office environments with multiple PCs connected to a scanner via a LAN, setting and selecting jobs on the scanner operating panel becomes cumbersome due to the large number of selectable jobs, making it difficult to quickly identify and execute the desired task.
Innovation Solution
An image reading system that includes an image reading device and multiple information terminals connected via a communication network, equipped with setting, response, display, selection, and execution means, allowing users to set and execute jobs on the device with ease by correlating jobs with group IDs and display priority information, and displaying only relevant options on the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple PCs are connected to the scanner via LAN to allow each person to set jobs independently, then job setting flexibility and accessibility are improved, but the number of selectable jobs on the scanner operating panel becomes huge, making it difficult to quickly select the desired job
Solution Approach 1:
The patent segments jobs into different groups based on PC identification. Each PC is assigned a unique identifier, and jobs are organized into groups corresponding to different PCs. This segmentation allows the scanner to display only jobs from specific PC groups rather than all jobs from all connected PCs, thereby reducing the number of selectable jobs while maintaining the flexibility for each person to set jobs on their own PC.
2Adaptability or versatility
If the scanner displays all jobs from all connected PCs, then all jobs are accessible, but the user interface becomes cluttered and time-consuming to navigate in large scale offices with several hundred PCs
Solution Approach 1:
The patent applies local quality by customizing the job display on the scanner operating panel according to the user's PC identity. Each user sees only the jobs relevant to their PC (local to their context) rather than all jobs from all PCs. This is achieved by detecting the PC identifier and filtering jobs accordingly, making the interface personalized and reducing search time while maintaining access to all jobs through the system.
3Adaptability or versatility
If the scanner operates panel displays all available jobs, then complete job options are provided, but the complexity of managing and selecting from hundreds of jobs increases significantly
Solution Approach 1:
The patent introduces an intermediary mechanism in the form of PC group identification and filtering. This intermediary layer between the scanner and the user organizes jobs by PC identifier, acting as a mediator that filters and presents only relevant jobs to each user. This intermediary structure maintains completeness of job options while significantly reducing interface complexity by preventing direct exposure of all jobs from all PCs.
Data Source
AI summary
To make it easy to set a desired job and execute a series of tasks on an image reading device, an image reading system is equipped with an image reading device and a plurality of information terminals connected to the image reading device by a communication network, wherein the information terminals are equipped with setting means (unit) for setting a job to be executed on the image reading device, and response means (unit) for responding to a job inquiry and sending the job to the image reading device. The image reading device is equipped with inquiry means (unit) for sending the job inquiries to the plurality of information terminals, display means (unit) for displaying the jobs received from the plurality of information terminals so as to be selectable, selection means (unit) for selecting the displayed jobs, and execution means (unit) for executing the selected job.


