Suppr超能文献

利用高度可调的主动照明和计算机视觉技术开发一款便携式气体成像相机。

Developing a portable gas imaging camera using highly tunable active-illumination and computer vision.

作者信息

Nutt Kyle J, Hempler Nils, Maker Gareth T, Malcolm Graeme P A, Padgett Miles J, Gibson Graham M

出版信息

Opt Express. 2020 Jun 22;28(13):18566-18576. doi: 10.1364/OE.389634.

Abstract

We have developed a portable gas imaging camera for identifying methane leaks in real-time. The camera uses active illumination from distributed feedback InGaAs laser diodes tuned to the 1653 nm methane absorption band. An InGaAs focal plane sensor array images the active illumination. The lasers are driven off resonance every alternate frame so that computer vision can extract the gas data. A colour image is captured simultaneously and the data is superimposed to guide the operator. Image stabilisation has been employed to allow detection with a moving camera, successfully imaging leaks from mains pressure gas supplies at a range of up to 3 m and flow rates as low as 0.05 L min.

摘要

我们开发了一种便携式气体成像相机,用于实时识别甲烷泄漏。该相机利用分布反馈式铟镓砷激光二极管发出的主动照明光,这些激光二极管被调谐到1653纳米的甲烷吸收波段。一个铟镓砷焦平面传感器阵列对主动照明光进行成像。每隔一帧就让激光器偏离共振状态,以便计算机视觉能够提取气体数据。同时拍摄彩色图像,并将数据叠加起来以引导操作人员。采用了图像稳定技术,以便使用移动相机进行检测,成功地对距离高达3米、流速低至0.05升/分钟的主压力气体供应处的泄漏进行成像。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验