Image Forming Device Automatic Manual Sheet Type Detection
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Solution Overview
Problem
Existing image forming devices face challenges in efficiently setting optimal operating conditions for diverse sheet types, as automatic detection increases costs and complexity, while manual input burdens users with increased options and errors.
Innovation Solution
An image forming device that combines automatic and manual modes, using a hardware processor to detect sheet types with a single sensor and store operating conditions for both modes, allowing flexible setting based on detected or user-input types, reducing user burden and optimizing print quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic detection using a sensor is implemented to detect sheet types, then user burden is reduced and operating conditions are optimized, but part cost increases and detection process becomes complicated
Solution Approach 1:
The sheet type classification is segmented into two distinct groups: automatic type group (detectable by sensor) and manual type group (requiring user input). This segmentation allows the system to use automatic detection only for commonly used sheet types while keeping the interface simple for less common types, thereby reducing both user burden and detection complexity simultaneously.
Solution Approach 2:
The control unit is designed to perform multiple functions: it can automatically detect sheet types using sensor data, manually accept user input for sheet types, and intelligently switch between these modes. This multi-functionality allows the system to adapt to different sheet type scenarios without requiring separate dedicated systems for automatic and manual detection.
2Measurement precision
If a sensor with wide detection range or multiple sensors are used to detect diverse sheet types, then detection accuracy improves, but part cost increases
Solution Approach 1:
The sheet type detection capability is segmented into automatic type group (handled by single sensor) and manual type group (handled by user input). This segmentation allows using a single, cost-effective sensor for the majority of common sheet types while avoiding the need for expensive multi-sensor systems or wide-range sensors that would increase costs without providing proportional benefits for all sheet types.
Solution Approach 2:
Instead of implementing complete automatic detection capability for all possible sheet types (which would require expensive sensors), the system implements partial automatic detection for the automatic type group. For sheet types in this group, automatic detection provides sufficient accuracy, while for other types, manual input supplements the detection capability.
3Measurement precision
If comprehensive detection of multiple attribute values is performed to detect sheet types, then detection accuracy improves, but detection time increases and productivity decreases
Solution Approach 1:
The detection process is segmented into two pathways: a fast automatic detection pathway for common sheet types (automatic type group) that provides sufficient accuracy without comprehensive attribute analysis, and a manual input pathway for less common types. This segmentation reduces average detection time while maintaining accuracy for the majority of sheet types.
Solution Approach 2:
For sheet types in the automatic type group, the system performs partial detection using only the necessary attribute values detectable by the single sensor, rather than comprehensive detection of all possible attributes. This partial action approach provides sufficient detection accuracy for common sheet types while significantly reducing detection time and increasing productivity.
Data Source
AI summary
An image forming device that forms an image on a sheet under an operating condition set according to a type of the sheet, includes a hardware processor that: accepts a manual input specifying any one of a plurality of types; stores manual mode setting information and automatic mode setting information; detects which of a plurality of types included in an automatic type group the type of the sheet is based on an output of a sensor; and sets an operating condition value corresponding to a type detected out of the operating condition values indicated by the automatic mode setting information as the operating condition in an automatic mode, and sets an operating condition value corresponding to the type specified by the manual input out of the operating condition values indicated by the manual mode setting information as the operating condition in a manual mode.