18483365. METHOD OF ANALYZING STATE OF IMAGE FORMING APPARATUS BASED ON RUNNING SOUND simplified abstract (CANON KABUSHIKI KAISHA)
Contents
- 1 METHOD OF ANALYZING STATE OF IMAGE FORMING APPARATUS BASED ON RUNNING SOUND
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD OF ANALYZING STATE OF IMAGE FORMING APPARATUS BASED ON RUNNING SOUND - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD OF ANALYZING STATE OF IMAGE FORMING APPARATUS BASED ON RUNNING SOUND
Organization Name
Inventor(s)
KAORU Tsunoda of Shizuoka (JP)
DAISUKE Momiyama of Shizuoka (JP)
MASAKI Kobayashi of Shizuoka (JP)
METHOD OF ANALYZING STATE OF IMAGE FORMING APPARATUS BASED ON RUNNING SOUND - A simplified explanation of the abstract
This abstract first appeared for US patent application 18483365 titled 'METHOD OF ANALYZING STATE OF IMAGE FORMING APPARATUS BASED ON RUNNING SOUND
Simplified Explanation
The patent application describes a system that analyzes the operation history of an image forming apparatus and input information, performs various operations based on the analysis results, and controls notification conditions accordingly.
- The system first analyzes the operation history of the image forming apparatus and input information.
- If the result of the analysis meets certain conditions, a confidence level for the result is obtained through a second analysis operation.
- If the confidence level is below a threshold, a message requesting further input information is transmitted.
- The system then controls the notification conditions based on the response to the message.
Potential Applications
This technology could be applied in various industries where the analysis of operation history and input information is crucial for decision-making processes. For example, it could be used in manufacturing plants to optimize production processes based on historical data and real-time input information.
Problems Solved
This technology helps in improving decision-making processes by analyzing operation history and input information, ensuring that notifications are triggered only when necessary. It also helps in maintaining the accuracy of the analysis results by obtaining confidence levels for the initial analysis.
Benefits
The system provides a more efficient way of analyzing operation history and input information, leading to better decision-making processes. It also helps in reducing unnecessary notifications by controlling notification conditions based on confidence levels.
Potential Commercial Applications
This technology could be commercially applied in industries such as manufacturing, healthcare, and logistics, where the analysis of operation history and input information is essential for optimizing processes and improving efficiency.
Possible Prior Art
One possible prior art for this technology could be systems that analyze historical data and input information for decision-making processes in various industries. However, the specific combination of operations and control of notification conditions as described in this patent application may be unique.
Unanswered Questions
How does the system determine the threshold for the confidence level?
The patent application does not provide details on how the threshold for the confidence level is determined. It would be interesting to know the factors or algorithms used to set this threshold.
What types of input information are considered in the analysis process?
The patent application mentions input information, but it does not specify the types of input data that are analyzed. Understanding the range of input information considered could provide insights into the system's capabilities and limitations.
Original Abstract Submitted
A system performs a first analysis operation in which an operation history of an image forming apparatus and input information are analyzed, an issuance operation in which, in a case where a result of an analysis of the first analysis operation satisfies notification conditions, a second analysis operation in which a confidence for the result of the analysis of the first analysis operation is obtained, a transmission operation in which, in a case where the confidence is less than a threshold, a message requesting further input of input information is transmitted, and a control operation in which the notification conditions are controlled based on the input information obtained as a response to the message.
