Virtual Device Simulation for Automated Inspection Teaching
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Solution Overview
Problem
The manufacturing industry faces challenges in efficiently configuring and operating inspection devices due to the time-consuming and skill-dependent nature of the teaching process, which involves selecting appropriate inspection points and camera paths, often leading to human error and inefficiency.
Innovation Solution
An information processing apparatus that uses three-dimensional data to create a virtual representation of a real device, simulating the effects of acting factors like light or heat, and calculates regions of interest based on specified conditions, allowing for automated detection and adjustment of inspection parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a human operator performs the teaching task manually, then the operator can recognize the situation and make appropriate decisions, but the teaching process becomes time-consuming and dependent on operator skill level
Solution Approach 1:
The system pre-calculates and stores optimal inspection paths and points in a database before actual teaching operations. When teaching is needed, the system retrieves pre-computed paths rather than calculating them in real-time, significantly reducing teaching time while maintaining high accuracy through automated optimization algorithms
Solution Approach 2:
The system creates virtual copies of the inspection device and workspace in a simulation environment. These virtual models allow automated calculation of inspection paths without requiring physical device operation, enabling novice operators to achieve expert-level teaching results through automated path optimization
2Productivity
If the teaching process is automated, then efficiency improves and human error is reduced, but the system complexity increases
Solution Approach 1:
The system employs a multi-functional platform that integrates virtual reality simulation, automated path calculation, database management, and device control into a single unified system. This universal platform handles multiple teaching tasks across different inspection scenarios, improving productivity while managing complexity through centralized architecture
Solution Approach 2:
The system introduces a virtual reality simulation environment as an intermediary between the physical inspection device and the control system. This virtual intermediary enables automated calculation and optimization of inspection paths without direct human intervention, achieving high productivity while keeping the physical device relatively simple
3Ease of operation
If virtual reality techniques are used for teaching, then the operator can select inspection points without physically operating the device, but the automation of inspection point selection remains incomplete
Solution Approach 1:
The system enables the inspection device to teach itself by automatically calculating optimal inspection paths and points using pre-stored three-dimensional data. The automated calculation unit computes inspection parameters without human intervention, allowing the system to perform self-teaching and achieve full automation while maintaining ease of operation through intuitive virtual interfaces
Data Source
AI summary
An information processing apparatus includes a processor and a memory. The memory stores three-dimensional data describing a real device including an object, a source of an acting factor that acts on the object and causes a detectable change at the object, and a detector that detects the change in a specified detection range. The processor produces a virtual device that represents the real device in a virtual space, based on the three-dimensional data in the memory. With this virtual device, the processor simulates the change caused by the acting factor, and calculates a region of the object in which the simulated change satisfies a specified condition.


