AI Transport Structure Inspection Using Multi-View Image Modeling
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Solution Overview
Problem
Current inspection methods for transport structures like pallets and crates are inefficient, prone to errors, and inadequate for identifying structural defects in large volumes, leading to disruptions in logistical operations and safety risks.
Innovation Solution
An AI-driven inspection system using multiple image capture sensors and an AI engine analyzes 2D images from different perspectives to generate computing models, determining structural properties, impact data, and generating reports for maintenance and inventory management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple image capture sensors and AI processing are used to improve inspection accuracy, then measurement precision and reliability improve, but device complexity increases
Solution Approach 1:
The inspection system is divided into multiple independent image capture sensors, each responsible for capturing images from different perspectives. This segmentation allows the system to achieve comprehensive inspection coverage and high measurement precision while maintaining modular architecture that manages complexity.
Solution Approach 2:
An AI engine is introduced as an intermediary component that processes images from multiple sensors, generates computing models, and determines structural properties. This intermediary consolidates the complexity of multi-sensor data fusion and analysis, allowing individual sensors to remain relatively simple while achieving high inspection accuracy through intelligent processing.
2Reliability
If comprehensive structural analysis is performed on all transport structures, then reliability and safety improve, but productivity decreases due to time consumption
Solution Approach 1:
The system performs preliminary capture of multiple perspective images as transport structures pass through the inspection area, and generates computing models in advance. This preliminary action allows comprehensive structural analysis to be completed before final inspection decisions are made, enabling high reliability assessment without significant delays to productivity.
Solution Approach 2:
The inspection system operates continuously as transport structures traverse the inspection area, with image capture, processing, and analysis occurring in an ongoing manner rather than batch processing. This continuous operation maintains high productivity while ensuring comprehensive structural analysis is performed on each structure.
3Measurement precision
If multiple perspectives are captured to improve inspection completeness, then measurement precision improves, but loss of time increases due to processing multiple images
Solution Approach 1:
The system replaces traditional mechanical or manual inspection methods with AI-based image processing. The AI engine automatically generates computing models from multiple perspective images and determines structural properties, significantly reducing processing time compared to manual analysis while maintaining high measurement precision and defect identification accuracy.
Data Source
AI summary
Methods and systems for assessing, determining, or quantifying structural properties of a transport structure are provided, including methods and systems for capturing, using first and second image capture sensors of an inspection system, a plurality of 2-dimensional (2D) images of an inspection area of the inspection system; detecting, using an AI engine, a transport structure in a first image from the plurality of 2D images; extracting, using the AI engine and based on the first image, a second image from the plurality of 2D images; generating, using the AI engine and based on the first image and the second image, a computing model representing the transport structure; analyzing, using the AI engine, the computing model thereby generating analysis data; generating, using a data processing unit, a report that indicates the analysis data; and initiate formatting, using the data processing unit, for display on a graphical interface, the report.