Polygon Mirror Face Identification Using Noise-Resistant Signal Timing
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Solution Overview
Problem
Existing image forming apparatuses face challenges in accurately identifying the reflection faces of a rotational polygon mirror, leading to potential distortion in latent images due to noise interference in the synchronization signal, which affects the precision of face identification and subsequent image correction.
Innovation Solution
An information processing apparatus connected to an image forming apparatus includes a light source, a rotational polygon mirror, a light receiving unit, an identifier, and a generator to accurately determine the reflection face by generating signals based on the identified face, allowing for precise correction of image data corresponding to each reflection face.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If face identification is executed based on time interval between synchronization signal pulses, then the polygon mirror face can be identified, but noise mixed into the signal may cause imprecise identification
Solution Approach 1:
The system executes preliminary face identification before image formation based on time intervals, then performs verification during image formation by detecting actual light reception timing. This two-stage approach allows correction of identification errors caused by noise while maintaining efficient operation.
Solution Approach 2:
The system uses feedback from the light receiving unit during image formation to verify face identification results. By comparing expected light reception timing with actual timing, the system can detect and correct identification errors, ensuring reliable operation even when noise is present in synchronization signals.
2Manufacturing precision
If correction is executed for each reflection face, then image distortion is prevented, but complex correction processing is required
Solution Approach 1:
The system performs preliminary face identification and prepares corresponding correction data before image formation. By pre-organizing correction data for each face and executing verification during image formation, the system simplifies the overall processing while maintaining high precision correction for each reflection face.
3Loss of time
If face identification is executed before first page image formation, then processing time is reduced, but noise may cause incorrect identification
Solution Approach 1:
The system executes preliminary face identification before first page image formation to reduce processing time, then performs verification during subsequent image formation. This approach balances speed and accuracy by using the preliminary result efficiently while ensuring correctness through verification.
Solution Approach 2:
The system uses feedback mechanisms to verify face identification results during image formation. By detecting actual light reception timing and comparing with expected timing, the system can confirm or correct preliminary identification results, ensuring accuracy without significantly increasing processing time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables high-accuracy determination of the reflection face, ensuring that image data is corrected appropriately, thereby preventing distortion in the formed images, even in the presence of noise interference.
Implementation Method 1
a light source configured to output light based on the image data received by the first receptor; a rotational polygon mirror having a plurality of reflection faces, and configured to be rotated to scan the photosensitive member by deflecting light output from the light source by using the plurality of reflection faces
Implementation Method 2
a light receiving unit including a light receiving element configured to receive the light deflected by the rotational polygon mirror
Data Source
AI summary
An image forming unit includes a first receptor, a light source, a photosensitive member, a rotational polygon mirror, a light receiving unit, an identifier configured to identify a reflection face, and a generator. An information processing apparatus includes a second receptor, a first detector, a second detector, a determiner, a corrector configured to correct image data, and an output unit configured to output corrected image data to the image forming unit. When the first change is newly detected in a predetermined period, the determiner determines, based on a time period from the second timing at which the first change is newly detected to a timing at which the second change is detected and a time period from the first timing to a timing at which the second change is lastly detected before the second timing, whether the first change is a change corresponding to the identified reflection face.