Canon kabushiki kaisha (20240104908). EVALUATION METHOD simplified abstract
Contents
- 1 EVALUATION METHOD
EVALUATION METHOD
Organization Name
Inventor(s)
EVALUATION METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104908 titled 'EVALUATION METHOD
Simplified Explanation
The abstract describes an evaluation method for an image analysis system, where an output value is acquired by inputting an evaluation image to the system. The accuracy of the output is then determined by comparing an expected value with the output value, and the characteristics of the image analysis system are evaluated based on the relationship between a factor and the accuracy of the output.
- Acquiring output value by inputting an evaluation image to the image analysis system
- Determining accuracy of the output by comparing expected value with output value
- Evaluating characteristics of the image analysis system based on the relationship between a factor and the accuracy of the output
Potential Applications
This technology could be applied in various fields such as medical imaging, security systems, quality control in manufacturing, and autonomous vehicles.
Problems Solved
This technology helps in assessing the performance and accuracy of image analysis systems, ensuring reliable results and improving overall system efficiency.
Benefits
- Enhanced accuracy and reliability of image analysis systems - Improved performance evaluation and system optimization - Increased efficiency in various applications such as medical imaging and quality control
Potential Commercial Applications
"Enhancing Image Analysis System Performance: Applications in Medical Imaging, Security, and Manufacturing"
Possible Prior Art
One possible prior art could be the use of manual evaluation methods for image analysis systems, which may not be as efficient or accurate as the automated evaluation method described in this patent application.
What are the potential limitations of this evaluation method in real-world applications?
The potential limitations of this evaluation method in real-world applications could include: - Dependency on the quality of the evaluation image - Sensitivity to variations in expected values - Computational resources required for accurate comparison
How does this evaluation method compare to existing methods in terms of efficiency and accuracy?
This evaluation method offers a more automated and objective approach compared to traditional manual evaluation methods. It provides a systematic way to assess the accuracy of image analysis systems and optimize their performance, leading to improved efficiency and reliability in various applications.
Original Abstract Submitted
an evaluation method for an image analysis system comprises acquiring an output value by inputting an evaluation image to the image analysis system, acquiring an accuracy of the output by comparing an expected value and the output value, and evaluating characteristics of the image analysis system based on a relation between a factor and the accuracy of the output.
