CVIVJul 2, 2022

Benchmarks for Industrial Inspection Based on Structured Light

arXiv:2207.00796v11 citationsh-index: 9
Originality Synthesis-oriented
AI Analysis

This provides a domain-specific tool for quickly assessing structured light devices in industrial settings, though it appears incremental as it builds on existing inspection tasks.

The paper tackles the problem of evaluating structured light methods for industrial inspection by proposing benchmarks with four criteria (flatness, length, height, sphericity), and demonstrates their application in a TypeC pin needles inspection case.

Robustness and accuracy are two critical metrics for industrial inspection. In this paper, we propose benchmarks that can evaluate the structured light method's performance. Our evaluation metric was learning from a lot of inspection tasks from the factories. The metric we proposed consists of four detailed criteria such as flatness, length, height and sphericity. Then we can judge whether the structured light method/device can be applied to a specified inspection task by our evaluation metric quickly. A structured light device built for TypeC pin needles inspection performance is evaluated via our metrics in the final experimental section.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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