English(EN) Attention-Based Spatio-Temporal Approach for Fire and Smoke Detection

新的基于视觉的方法使用Transformer增强火灾和烟雾检测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了一种新颖的基于注意力的时空方法来检测火灾和烟雾，解决了传统传感器在室外环境中的局限性。该方法整合了空间和时间特征，并采用Transformer模块来提高准确性并迭代地减少错误。该方法旨在通过提供强大的基于视觉的火灾和烟雾检测解决方案来提高工作场所的安全性。 AI

影响这种基于视觉的检测方法可以通过提供比传统传感器更强大的替代方案来提高工业和室外环境的安全性。

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arXiv cs.CV TIER_1 English(EN) · Alireza Mirrashid, Mohammad Khoshbin, Ali Atghaei, Hassan Shahbazi · 2026-10-15 04:00

用于火灾和烟雾检测的基于注意力时空方法

arXiv:2610.20141v1 Announce Type: new Abstract: In various industries, smoke and fire are two of the most important threats in the workplace. One of the common methods for detecting smoke and fire is the use of infrared thermal and smoke sensors, which cannot be used in outdoor a…