Image Processing Device Estimating User Function via History Data
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Solution Overview
Problem
Existing image processing devices lack efficient pre-processing capabilities to anticipate and prepare for user functions, leading to increased wait times and power consumption during standby periods.
Innovation Solution
An image processing device equipped with an authenticator, estimator, and controller that uses user authentication information and history data to predict the next user function, allowing related parts to prepare for operation before a user instruction is given, thereby reducing wait times and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If the image processing device waits for user instruction before executing functions, then power consumption is reduced during standby, but user wait time increases
Solution Approach 1:
The estimator performs preliminary analysis of history information to predict the user's intended function before the user actually issues the instruction. Based on this prediction, the controller pre-activates the necessary parts in advance, so that when the user does issue the instruction, the parts are already ready to execute immediately, thus reducing wait time without requiring continuous operation of all parts
Solution Approach 2:
The system uses history information recording the user's past function execution patterns as feedback to train the estimator. The estimator continuously learns from this feedback to improve prediction accuracy, enabling the system to anticipate user needs more accurately over time, thereby optimizing the balance between power consumption and responsiveness
2Loss of time
If all parts are kept ready for immediate operation, then user wait time is reduced, but power consumption increases
Solution Approach 1:
Instead of keeping all parts continuously ready, the system performs preliminary prediction of which specific parts will be needed based on history information. Only the predicted necessary parts are activated in advance, while other parts remain in low-power standby mode. This selective preliminary activation reduces overall power consumption compared to keeping all parts ready
Solution Approach 2:
The system applies different operational states to different parts based on their predicted need. Parts that are predicted to be needed are activated to a higher operational state, while parts not predicted to be needed remain in a lower power state. This creates local quality differences in the operational state of various parts, optimizing the overall power consumption profile
Data Source
AI summary
An image processing device includes an authenticator, an estimator, and a controller. The authenticator uses authentication information received from a user to authenticate and determine whether or not the user is a person allowed to execute plural functions related to images. If the authenticator authenticates the user as a registered user allowed to execute the plural functions, the estimator uses history information recording information related to the execution of the plural functions to estimate a function to be executed by the user from among the plural functions. The controller controls related parts used to execute the function estimated by the estimator so that the related parts start preparing for operation before the user issues an instruction to execute some kind of function.