Adjustable Microphone Positioning for Noise Reduction in Image Forming
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Solution Overview
Problem
Conventional image forming apparatuses face challenges in effectively reducing noise interference during voice recognition, as the source of noise generation varies with different jobs and cannot be adequately addressed by existing noise reduction methods.
Innovation Solution
The apparatus incorporates a microphone that can switch its detection position based on the type of job being executed, using a hardware processor to control the microphone's position and minimize noise interference by moving it to a location further away from the noise source, thereby enhancing voice recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the microphone is installed at a fixed position to reduce noise from a specific source, then noise interference is reduced for that specific job type, but the system cannot adapt to varying noise sources across different job types
Solution Approach 1:
The patent applies the dynamics principle by making the microphone position adjustable rather than fixed. The control unit dynamically changes the microphone's position based on the detected job type, allowing the system to adapt to varying noise sources. For example, when copying is detected, the microphone moves to a first position optimized for that task, and when scanning is detected, it moves to a second position, thereby resolving the contradiction between fixed noise reduction and adaptability.
Solution Approach 2:
The patent implements parameter changes by modifying the physical position parameter of the microphone according to job type. The control unit changes the microphone's location parameter (first position for copying, second position for scanning) to optimize noise reduction for each specific job type, enabling the system to handle varying noise sources effectively.
2Measurement precision
If the microphone position is fixed, then the device complexity is low, but the voice recognition accuracy deteriorates when noise sources vary with job types
Solution Approach 1:
The patent uses dynamics to achieve variable microphone positioning that improves voice recognition accuracy. The control unit dynamically adjusts the microphone position based on job type detection, ensuring optimal acoustic conditions for voice recognition in each task scenario, thereby accepting the increased complexity as a trade-off for improved precision.
Solution Approach 2:
The system applies self-service by having the control unit automatically detect the job type and autonomously adjust the microphone position without manual intervention. The control unit monitors job type changes and automatically repositions the microphone to maintain optimal voice recognition conditions, reducing the need for user involvement in managing the complexity.
3Measurement precision
If the microphone is positioned close to the user for accurate voice detection, then voice recognition accuracy is improved, but noise from nearby job operations (such as automatic document conveyance) increases
Solution Approach 1:
The patent applies dynamics by making the microphone position variable rather than fixed. The control unit adjusts the microphone's position dynamically based on the detected job type - positioning it closer to the user when voice recognition is needed and moving it away when noise from automatic document conveyance is present, thereby resolving the contradiction between detection accuracy and noise reduction.
Solution Approach 2:
The system implements preliminary action by detecting the job type in advance and pre-positioning the microphone accordingly before voice recognition occurs. When a job involving automatic document conveyance is detected, the control unit anticipates the noise and positions the microphone at a location farther from the noise source, preparing the system in advance to minimize noise interference during subsequent voice detection.
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 effectively reduces noise interference and improves voice recognition accuracy by adjusting the microphone's position in response to varying noise sources, ensuring reliable operation across different job types.
Implementation Method 1
a microphone (180) that detects a voice
Data Source
AI summary
An image forming apparatus includes: a microphone that detects a voice; an executing device that executes a job; and a hardware processor that controls switching of a position of voice detection by the microphone, depending on the job.