Assessment Device Single-Pass Inspection Merging Part Number and Finish Checks
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Solution Overview
Problem
Current assessment methods for interior materials in buildings require separate passes for part number inspections and finish inspections, increasing total inspection time and complexity.
Innovation Solution
An assessment device equipped with a camera, distance measuring sensor, and information processor that performs a first assessment for part number verification and a second assessment for condition evaluation using different models based on image capture distances, allowing both inspections to be conducted in a single pass.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate inspection passes are used for part number verification and finish inspection, then each inspection can be performed with dedicated models, but total inspection time increases and operational complexity increases
Solution Approach 1:
The patent combines part number verification inspection and finish inspection into a single inspection pass by using one camera system to capture images that are subsequently processed by both assessment models. The information processor applies the first assessment model for part number verification and the second assessment model for finish inspection on the same captured image data, eliminating the need for separate inspection passes and reducing total inspection time while maintaining dedicated assessment models for each inspection type.
2Measurement precision
If separate inspection passes are used for part number verification and finish inspection, then each inspection can be performed with dedicated models, but operational complexity increases
Solution Approach 1:
The patent merges two separate inspection operations into a single operational flow where the user captures images once and the system automatically performs both part number verification and finish inspection. The information processor manages the application of different assessment models for different inspection types, simplifying the user interface and operational procedures while maintaining specialized assessment capabilities.
3Device complexity
If a single assessment model is used for all inspections, then device complexity is reduced, but measurement precision for specific inspection types deteriorates
Solution Approach 1:
The patent segments the assessment functionality into separate assessment models - a first assessment model for part number verification and a second assessment model for finish inspection. Each model is specialized for its specific inspection type, ensuring optimal measurement precision. The information processor manages these segmented models and applies the appropriate one based on the inspection requirements, balancing system organization with specialized accuracy.
Solution Approach 2:
The patent creates a universal inspection system where a single camera and information processor handle both part number verification and finish inspection by selectively applying different assessment models. The system architecture is multi-functional, allowing one inspection setup to serve multiple assessment purposes while maintaining the precision of specialized models through the information processor's model selection capability.
Data Source
AI summary
An assessment device (10) includes a camera (12) that captures an image showing a component to which a target object is attached to cover the surface of the component, a distance measuring sensor (13) that measures the distance to the component, and an information processor (16). The information processor (16) performs: a first process of assessing whether the target object attached to the component is a predetermined object meant to be attached to the component by applying a first assessment model to the image captured by the camera (12) while the distance measured by the distance measuring sensor (13) is within a first distance range; and a second process of assessing whether the target object is in acceptable condition by applying a second assessment model to the image captured by the camera (12) while the distance measured by the distance measuring sensor (13) is within a second distance range.