Experimental Demonstration of Remote and Compact Imaging Spectrometer Based on Mobile Devices.

Jie Chen,Sailing He,Rongxiao He,Fuhong Cai

doi:10.3390/s18071989

Jie Chen, Sailing He + Show 2 more

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https://doi.org/10.3390/s18071989

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Abstract

Imaging spectrometers show great potential for environmental and biomedical sensing applications. Selfie sticks, which are tools used to take photographs or videos, have gained global popularity in recent years. Few people have connected these two objects, and few people have researched the application of imaging spectrometers to perform scientific monitoring in point-of-use scenarios. In this paper, we develop a compact imaging spectrometer (35 g in weight, 18 mm in diameter, and 72 mm in length) that can be equipped on a motorized selfie stick to perform remote sensing. We applied this system to perform environmental and facial remote sensing via motorized scanning. The absorption of chlorophyll and hemoglobin can be found in the reflectance spectra, indicating that our system can be used in urban greening monitoring and point-of-care testing. In addition, this compact imaging spectrometer was also easily attached to an underwater dome port and a quad-rotor unmanned aerial vehicle to perform underwater and airborne spectral detection. Our system offers a route toward mobile imaging spectrometers used in daily life.

Highlights

There has been a growing variety of applications that take advantage of the digital cameras in mobile devices
We developed a digital camera-based portable imaging spectrometer to detect reflectance spectra from the ocean, a lake, and a human hand [2,3]
We further reduce the weight of the imaging spectrometer to 35 g and succeed in combining this new compact imaging spectrometer with selfie stick, underwater dome port, and Unmanned Aerial Vehicle (UAV) to perform remote spectral sensing experiments

Summary

Introduction

There has been a growing variety of applications that take advantage of the digital cameras in mobile devices. There is a wealth of imaging information in photos and videos. As a result, increasing amounts of data can be mined to reveal deep-level information. One straightforward idea to increase the information in these images is to upgrade a digital camera to an imaging spectrometer [1,2,3]. In this way, we can obtain a hyperspectral data cube, consisting of two spatial- and one spectral-dimension data [4,5]. Many applications can be carried out, including soil classification, gas detection, food-quality control, etc. Many applications can be carried out, including soil classification, gas detection, food-quality control, etc. [6,7,8]

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