CVOct 1, 2013

Flexible Visual Quality Inspection in Discrete Manufacturing

arXiv:1310.0306v1
Originality Synthesis-oriented
AI Analysis

This work addresses the need for more robust and user-friendly inspection software in discrete manufacturing, though it appears incremental as it builds on existing flowchart-based approaches.

The paper tackles the problem of robustness and flexibility in visual quality inspection flowcharts for discrete manufacturing, proposing an acquire-register-analyze pattern that simplifies flowcharts and addresses variations in product position, orientation, and size, with a practical implementation demonstrated in electric component production.

Most visual quality inspections in discrete manufacturing are composed of length, surface, angle or intensity measurements. Those are implemented as end-user configurable inspection tools that should not require an image processing expert to set up. Currently available software solutions providing such capability use a flowchart based programming environment, but do not fully address an inspection flowchart robustness and can require a redefinition of the flowchart if a small variation is introduced. In this paper we propose an acquire-register-analyze image processing pattern designed for discrete manufacturing that aims to increase the robustness of the inspection flowchart by consistently addressing variations in product position, orientation and size. A proposed pattern is transparent to the end-user and simplifies the flowchart. We describe a developed software solution that is a practical implementation of the proposed pattern. We give an example of its real-life use in industrial production of electric components.

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