Ultra-Low-Power IoT applications based on Real-Time Machine Vision and Image Analysis
2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)(2023)
摘要
This period of rapid expansion in wireless communications is expected to continue. Numerous studies on CMOS RF front-end circuits have been conducted in response to the need for a cheap but effective wireless front-end. The end game is to create a design that requires as little power as possible while still delivering optimal performance. Here, we detail an ultra-low-power microsensor array for volatile chemicals, with the goal of improving its selectivity and sensitivity. Ultra-low-power Field-Programmable-Gate-Arrays (FPGAs) are a very promising solution for the energy-efficient and adaptable hardware needed for the rapid growth of the Internet of Things. In this work, we present a low-power temperature-sensing circuit operating in the time-domain for use in the Internet of Things. In this study, we investigate how to create a machine vision system for medical imaging that operates in real time. Although much effort has been put into optimising the power efficiency of the RX's individual sub-blocks, further reduction of its power allocation becomes more difficult as certain key RF blocks [i.e., low-noise amplifier (LNA) and local oscillator (LO)] consume the vast majority of the power budget in order to meet the stringent sensitivity and linearity requirements. The low intrinsic gain and high threshold voltage of the nanometer-scale CMOS area are also barriers to innovation at the circuit level.
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关键词
Low Noise Amplifier,Image analysis,Ultra Low power,IoT Applications
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