Artificially-Intelligent Imaging (AI2) sensors: How intelligent CMOS imaging devices can benefit Photovoltaics?

F. Saffih
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引用次数: 1

Abstract

In the present paper, we present a new research bridge between two of the current hottest research branches in electrical engineering devices namely; CMOS imaging and Photovoltaics (PV). We start by showing the similarity between core areas of interest in each one namely the device, i.e. the photodiode and the difference between the two research areas. We conclude with an equation that depicts the central contribution of this paper demonstrating that any improvement at the device level made in CMOS imaging technology will inevitably and positively impact PV and visa-versa. Particularly, the suggested intelligent (bio-mimicked) photo-sensors can boost the solar energy conversion of their PV counterparts. This might not be possible in certain cases where fabrication technologies do not allow that and for that matter a non-disruptive change in the fabrication processes are necessary to take advantage of the new devices advancements. Finally, we present a futuristic solution based on the above pivotal idea opening a door for novel applications especially in battery-less biomedicals and wearables.
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人工智能成像(AI2)传感器:智能CMOS成像器件如何使光伏受益?
在本文中,我们提出了一个新的研究桥梁,连接当前电气工程器件中两个最热门的研究分支,即;CMOS成像和光伏(PV)。我们首先展示每个感兴趣的核心领域之间的相似性,即器件,即光电二极管和两个研究领域之间的差异。我们总结了一个方程,该方程描述了本文的核心贡献,证明了CMOS成像技术在器件级别上的任何改进都将不可避免地对PV产生积极影响,反之亦然。特别是,所建议的智能(仿生)光传感器可以促进其光伏对应物的太阳能转换。在制造技术不允许的某些情况下,这可能是不可能的,因此,为了利用新设备的进步,制造过程中的非破坏性变化是必要的。最后,我们提出了基于上述关键思想的未来解决方案,为新应用打开了大门,特别是在无电池生物医学和可穿戴设备方面。
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