3D Sensor Data Collocation for Automated Object Inspection
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Solution Overview
Problem
In-person inspections of manufactured articles and facilities are time-consuming, prone to human error, and limited by the volume and organization of data, especially when comparing data from different times or observers, leading to inefficiencies and high costs.
Innovation Solution
A system and method for autonomously collocating and interpreting sensed data using multiple sensors to associate data points with physical space, comparing them to pre-fabricated models, and identifying objects by analyzing similarities and differences over time, allowing real-time processing and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If in-person inspection with specialized metrology equipment is used, then measurement precision is improved, but productivity deteriorates due to time-consuming manual processes
Solution Approach 1:
The patent replaces manual inspection processes with an automated system using sensors, processors, and computer vision technology. The system captures images and sensor data, automatically processes them through algorithms, and generates inspection reports without human intervention, thereby maintaining measurement precision while dramatically improving productivity
Solution Approach 2:
The inspection system performs self-service by autonomously capturing data, processing images, detecting anomalies, and generating reports. The system uses automated image processing algorithms and machine learning models to identify defects without requiring inspector intervention, enabling continuous operation and eliminating manual labor bottlenecks
2Reliability
If multiple sensors and data collection methods are used, then reliability is improved, but device complexity worsens
Solution Approach 1:
The patent combines multiple sensors (cameras, LIDAR, thermal sensors) and data collection methods into a single integrated inspection system. The system merges data from different sensor types and processing algorithms into unified inspection results, improving reliability through multi-modal data fusion while managing complexity through integrated architecture
Solution Approach 2:
The inspection system is designed with multi-functionality to perform various inspection tasks using the same hardware platform. The system can switch between different sensor modes, processing algorithms, and inspection protocols depending on the application, thereby achieving high reliability across diverse scenarios without proportionally increasing device complexity
3Loss of information
If large volume of data is captured and stored, then loss of information is reduced, but loss of time worsens due to data processing and transmission delays
Solution Approach 1:
The system extracts only the essential and relevant information from the large volume of captured data using automated image processing and anomaly detection algorithms. Instead of storing and processing all raw data, the system identifies and extracts critical features and defects, reducing data transmission and processing time while maintaining complete information about inspection results
Solution Approach 2:
The system performs preliminary processing of data immediately upon capture, including image preprocessing, feature extraction, and initial anomaly detection before full analysis. This preliminary action prepares data for faster subsequent processing and enables real-time inspection feedback, reducing overall processing time while preserving all necessary information
4Ease of operation
If manual data organization and comparison between inspections is performed, then ease of operation is maintained, but productivity deteriorates due to abundant time required
Solution Approach 1:
The patent replaces manual data organization and comparison processes with automated computational systems. The system automatically organizes inspection data, compares results across multiple inspections using algorithms, and generates trend analyses without human intervention, thereby maintaining ease of operation through automated workflows while dramatically improving productivity by eliminating time-consuming manual tasks
Data Source
AI summary
A data collection and processing system and associated method for collocating sensed data of one or more three-dimensional objects are provided. Functions provided by the system and method include: autonomously collocating, with a processor, a first data set resulting in a first collocated data set, which may correspond with one or more first three-dimensional working models of the one or more three-dimensional objects, respectively; and autonomously interpreting, by a processor, the first collocated data set, by comparison to one or more pre-fabricated three-dimensional models, to determine an identity of the one or more three-dimensional objects associated with the one or more first three-dimensional working models or to determine the state and/or operating conditions of three-dimensional objects.