English(EN) Event Cameras for Melt-Pool Monitoring in Additive Manufacturing: A Benchmark and a Cross-Machine Transfer Analysis

新基准测试使用事件相机进行增材制造熔池监测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 04:00

研究人员推出了 SynAM-E，这是一个新颖的基准数据集，用于使用事件相机监测金属增材制造中的熔池动力学。该数据集包含来自多个来源的模拟事件碎片，旨在满足该领域对高时间分辨率数据的需求。研究表明，基于事件的监测可以实现与传统基于帧的方法相当的准确性，同时显著降低数据速率和计算能耗。 AI

影响这项研究可能通过先进的传感技术，实现增材制造中更高效、更准确的质量控制。

排序理由该集群包含一篇详细介绍新基准数据集和分析的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.CV TIER_1 English(EN) · Mohamad Yazan Sadoun, Sarah Sharif, Yingtao Liu, Zahed Siddique, Yaser Mike Banad · 2026-10-07 04:00

增材制造熔池监测的事件相机：基准测试与跨机转移分析

arXiv:2610.06973v1 Announce Type: new Abstract: Melt-pool monitoring is central to qualifying metal additive manufacturing (AM), yet no public event-camera benchmark exists for this domain. Event cameras report per-pixel brightness changes with microsecond timing instead of readi…