In-vacuum active colour sensor and wireless communication across a vacuum-air interface

Abstract

In situ sensing with wireless digital-data transfer is a potential processing scheme that works very closely to the location of an event monitored by a sensor and converts the sensor’s raw output into digitized and informative small-volume bits, as suggested by recent proposals for edge computing and the Internet of Things (IoT). Colour perception may be a target of in situ sensor data acquisition; however, in contrast to from other sensing devices, colour sensors that detect visible light signals are usually located away from light-emitting sources, collecting light transmitting through the space and attenuating it in some manner. For example, in a vacuum chamber whose gas pressure is much less than the ambient atmosphere in which the sensors usually work, there are many veiled light sources, such as discharge plasma, for various industrial purposes including nanoscale manufacturing. In this study, we designed an in-vacuum colour sensor that can work with analogue-to-digital conversion and transfer data by wireless communication; this sensor is active in a low-pressure plasma chamber, detecting light signals and transferring them to a personal computer located outside the vacuum chamber. In addition to detecting lights with controlled spectra from outside successfully, we achieved complete operation of our in-vacuum active sensor for plasma emissions generated at 100 Pa. Comparing the signals with data from simultaneous monitoring by a monochromator, we established that the recorded signals arose from the plasma, confirming successful direct detection of low-pressure plasma emissions without any filtering effects between the sensor and the target object.

Complexity visualization, dataset acquisition, and machine-learning perspectives for low-temperature plasma: a review

“…Here, whether corresponding techniques are state-of-the-art or not, we are aiming at (semi-)automatic collections of experimental data which cannot be detected using conventional electrical/optical probing methods inside plasma reactors. Recently, we successfully confirmed the operation of a tiny wireless electronic sensor, 27) which is along the trend of IoT (Internet of Things) technology. [28][29][30] Just by installing such multiple sensors near walls or in places where such devices do not disturb plasma activities in a reactor, data in time evolutions are automatically stored in a data server outside the vacuum chamber.…”

“…We show examples of a chemical reaction system in low-temperature plasma, but a similar visualization is possible for other complexities such as a transition system among electron excited states stimulated by electrons in plasma. 27)…”

Leveraging AI for Enhanced Quality Assurance in Medical Device Manufacturing

“…Ensuring the safety and consistency of food and beverages Ensuring a steady level of excellence is of utmost importance for guaranteeing consumer safety and contentment in the food and beverage sector [64][65][66].…”

Low Power FSAS utilizing the complex multitasking units of ML processors

“…The readability of colour information depends on the accurate colour coding [10] either from hex-codes in web processing or internally coded to sensors that have to be verified against HSI colour-map data that may be upgraded according to foliar samples of various shades. Mostly sensors vary by vacuum operation modes, colour map with 12-bit processing, detection modes, sensitivity adjustments etc., that need standardized or calibration information from every manufacturer in addition to algorithmic evaluations that can consume redundant evaluations of the ML processors [11]. Colour of leaf or leaflets are part of vital preliminary phenotype information necessary for interpolating growth characteristics in addition to analysis of their extracts [12].…”