Deformation Detection Process Selection for Lower-Cost Image Inspection
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Solution Overview
Problem
Existing deformation detection systems in infrastructure structures face longer processing times and higher costs when detecting multiple types of deformations, leading to potential oversight of critical deformations due to users narrowing down detection types to reduce costs, especially in cloud-based services.
Innovation Solution
An information processing apparatus that proposes a second detection process based on the results of a first detection process, allowing users to selectively execute additional deformation detection processes relevant to the infrastructure structure, thereby optimizing processing time and cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple types of deformation detection processes are executed to ensure comprehensive inspection, then detection completeness is improved, but processing time and service costs increase
Solution Approach 1:
The system executes a first deformation detection process before the second detection process to preliminarily identify deformations. Based on the results of this preliminary detection, the system then determines whether to execute additional second detection processes for specific deformation types, thereby avoiding unnecessary comprehensive detection while ensuring critical deformations are not missed
Solution Approach 2:
The deformation detection is divided into multiple independent detection processes (first detection process and second detection process) that can be selectively executed. Each detection process targets specific deformation types, allowing the system to segment the overall detection task into manageable parts based on inspection needs and resource constraints
2Reliability
If multiple types of deformation detection processes are executed to ensure comprehensive inspection, then detection completeness is improved, but service usage fees increase
Solution Approach 1:
The system performs a first deformation detection process as a preliminary step that is included in basic service packages. Based on the results, it selectively executes second detection processes only when needed, allowing users to pay for comprehensive detection only when the preliminary detection indicates potential issues requiring further investigation
Solution Approach 2:
The system executes only the necessary portion of detection processes based on preliminary results. If the first detection process identifies no significant deformations, the more expensive second detection processes are skipped, allowing users to pay less for partial detection when full detection is not required
3Quantity of substance
If users narrow down the types of deformations to be detected to reduce costs, then service usage fees are reduced, but risk of overlooking critical deformations increases
Solution Approach 1:
The system executes a first deformation detection process that covers multiple deformation types at a lower cost. This preliminary detection serves as a safety net to identify potential issues that might be overlooked if users selected only specific second detection processes, thereby maintaining detection completeness even when users choose to limit expensive follow-up detection
Solution Approach 2:
The system uses the results of the first detection process as feedback to determine whether to execute additional second detection processes. If the first detection identifies potential deformations, the system recommends or automatically triggers second detection processes to thoroughly investigate specific deformation types, ensuring critical issues are not missed even when users initially select limited detection options
Data Source
AI summary
An information processing apparatus comprising: an obtaining unit configured to acquire detection information about a first detection process that is a deformation detection process performed on an input image; and an output unit configured to output a type of a second detection process that is a deformation detection process of a type different from that of the first detection process, based on the detection information obtained by the obtaining unit.