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Reimagining infrared industry with artificial intelligence and IoT / IIoT

机译:通过人工智能和IoT / IIoT重新构想红外行业

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In this paper we explore the impact that interconnection devices could have or are having on the new emerging IoT / IIoT network as well as on AI-artificial intelligence. The new digital era (Fourth Industrial Revolution) presents challenges, risks, and opportunities for both industries and many social and commercial activities. Infrared Industry devices and sensors (+ Non-Contact Temperature Measurement) Involving Bands: NIR-SWIR-MWIR- LWIR and Hyperspectral / Multispectral Imaging are also part of this move. Infrared imaging and sensors could either stand alone in a system, be integrated with other sensors from various technologies, and/or unified in a robot, drone, and unmanned aerial vehicle, in ADAS (Advanced driver-assistance systems) and with other emerging technologies. On the other hand, the world is going through a hyper-connectivity network process with a noticeable improvement in speed data transfer and virtually instantaneous latency (LTE- 5G and Wi-Fi 6- IEEE 802.1 lax) in which the potential autonomy of the systems with Al-artificial intelligence should also be included (Big data/ Data analytics / Machine learning / Deep learning).
机译:在本文中,我们探讨了互连设备可能会或正在对新兴的IoT / IIoT网络以及AI人工智能产生的影响。新的数字时代(第四次工业革命)给行业以及许多社会和商业活动带来了挑战,风险和机遇。红外工业设备和传感器(+非接触式温度测量)涉及范围:NIR-SWIR-MWIR-LWIR和高光谱/多光谱成像也是这一举措的一部分。红外成像和传感器既可以独立安装在系统中,也可以与其他来自各种技术的传感器集成在一起,也可以与机器人,无人机和无人机,ADAS(高级驾驶员辅助系统)以及其他新兴技术集成在一起。另一方面,世界正在经历超连接性网络流程,速度数据传输和几乎瞬时的延迟(LTE-5G和Wi-Fi 6-IEEE 802.1lax)显着改善,其中系统具有潜在的自主权还应包括具有人工智能的设施(大数据/数据分析/机器学习/深度学习)。

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