Print Media Sensor Thresholds for False Notification Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Imaging devices experience fluctuations in sensor readings due to variations in print media types, air presence, and signal oscillations, leading to false notifications about print media levels, which detract from the user experience.
Innovation Solution
Implementing print media thresholds with a medium storing executable instructions to assert low print media level notifications only when the detected amount is below a set value, allowing for customizable thresholds to mitigate these fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a sensor is used to detect print media levels, then automation is improved, but measurement precision deteriorates due to false readings from air presence and signal oscillations
Solution Approach 1:
The system dynamically adjusts the notification threshold based on detected print media type characteristics. The controller modifies the threshold value adaptively to account for variations in media properties that affect sensor readings, thereby maintaining measurement precision while preserving automated detection capabilities.
Solution Approach 2:
The patent changes the parameter of the notification threshold to compensate for sensor inaccuracies. By adjusting this parameter based on detected media type and sensor behavior patterns, the system corrects for measurement errors caused by air presence and signal oscillations, improving effective measurement precision.
2Loss of information
If notifications are triggered by sensor readings, then information feedback is improved, but reliability deteriorates due to false notifications from sensor fluctuations
Solution Approach 1:
The notification threshold is dynamically adjusted based on the detected print media type and sensor behavior. This dynamic parameter modification ensures that notifications are triggered only when appropriate, filtering out false signals while maintaining accurate information feedback about actual media levels.
Solution Approach 2:
The system uses feedback from sensor readings to continuously monitor and adjust the notification threshold. By analyzing sensor behavior patterns and media type characteristics, the system learns to distinguish between genuine low-media conditions and false sensor fluctuations, improving notification reliability.
Data Source
AI summary
In some examples, a non-transitory machine readable medium can include instructions executable by a processing resource to assert a low print media level notification responsive to determination that a first amount of print media in a media receptacle of an imaging device is less than a set value, detect a second amount of print media in the media receptacle of the imaging device, compare the detected second amount of print media to a print media threshold that is based on the set value and a selectable print media value, and maintain the low print media level notification responsive to a determination that the detected second amount of print media is less than the print media threshold.


