VTT’s Fabry-Perot interferometer technologies for hyperspectral imaging and mobile sensing applications

Rissanen, Anna; Guo, Bao‐Zhu; Saari, Heikki; Näsilä, Antti; Mannila, Rami; Akujärvi, Anu; Ojanen, Harri

doi:10.1117/12.2255950

Cited by 19 publications

(14 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the gap between the mirrors determines the optical band. The miniaturized FPI, developed by VTT, can be tailored for a wide range of wavelengths and resolutions [17,19,20,21]. The gap and thus the wavelength band, is adjusted by applying voltage between two electrodes.…”

Section: Methodsmentioning

confidence: 99%

“…More work remains in both instrumental design and application studies in order to find the full commercial potential of the technology. In this work, we present an AHS prototype, based on a voltage-tunable near-infrared MEMS Fabry-Pérot interferometer (FPI) [17]. The FPI allows for a compact, cost-efficient and fast on-axis wavelength selection between 1300 nm and 1650 nm.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Active Hyperspectral Sensor Based on MEMS Fabry-Pérot Interferometer

Kääriäinen

Jaanson

Vaigu

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

An active hyperspectral sensor (AHS) was developed for target detection and classification applications. AHS measures light scattered from a target, illuminated by a broadband near-infrared supercontinuum (SC) light source. Spectral discrimination is based on a voltage-tunable MEMS Fabry-Pérot Interferometer (FPI). The broadband light is filtered by the FPI prior to transmitting, allowing for a high spectral-power density within the eye-safety limits. The approach also allows for a cost-efficient correction of the SC instability, employing a non-dispersive reference detector. A precision of 0.1% and long-term stability better than 0.5% were demonstrated in laboratory tests. The prototype was mounted on a car for field measurements. Several road types and objects were distinguished based on the spectral response of the sensor targeted in front of the car.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Active Hyperspectral Sensor Based on MEMS Fabry-Pérot Interferometer

Kääriäinen

Jaanson

Vaigu

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…The real-time information on milk ingredients such as fat, protein and lactose would offer the farmer means to balance the diets of individual animals as the cows could receive different supplements, depending on their needs, to further improve the milk output [3]. Moreover, changes in milk quality can indicate alterations in the health and wellbeing of the cows and can influence processed dairy products [4]. In current milk recording practices, the milk quality is monitored at individual cow level only once every 4 to 6 weeks [5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of MEMS NIR Spectrometers for On-Farm Analysis of Raw Milk Composition

Uusitalo

Diaz-Olivares

Sumen

et al. 2021

Foods

View full text Add to dashboard Cite

Today, measurement of raw milk quality and composition relies on Fourier transform infrared spectroscopy to monitor and improve dairy production and cow health. However, these laboratory analyzers are bulky, expensive and can only be used by experts. Moreover, the sample logistics and data transfer delay the information on product quality, and the measures taken to optimize the care and feeding of the cattle render them less suitable for real-time monitoring. An on-farm spectrometer with compact size and affordable cost could bring a solution for this discrepancy. This paper evaluates the performance of microelectromechanical system (MEMS)-based near-infrared (NIR) spectrometers as on-farm milk analyzers. These spectrometers use Fabry–Pérot interferometers for wavelength tuning, giving them the advantage of very compact size and affordable price. This study discusses the ability of MEMS spectrometers to reach the accuracy limits set by the International Committee for Animal Recording (ICAR) for at-line analyzers of the milk content regarding fat, protein and lactose. According to the achieved results, the transmission measurements with the NIRONE 2.5 spectrometer perform best, with an acceptable root mean squared error of prediction (RMSEP = 0.21% w/w) for the measurement of milk fat and excellent performance (RMSEP ≤ 0.11% w/w) for protein and lactose. In addition, the transmission measurements using the NIRONE 2.0 module give similar results for fat and lactose (RMSEP of 0.21 and 0.10% w/w respectively), while the prediction of protein is slightly deteriorated (RMSEP = 0.15% w/w). These results show that the MEMS spectrometers can reach sufficient prediction accuracy compared to ICAR standard values for at-line and in-line fat, protein and lactose prediction.

show abstract

“…Finally, thermal stabilization of the detector is straightforward because only a single-point detector is used, compared to conventional technologies that normally require linear array detectors [25]. MEMS-FPI sensors have been used for mid infrared (MIR) [26] and lately for NIR [27] applications, with a wide industrial application potential [28][29][30], although they still require further validation under a variety of laboratory and industrial conditions to understand their limitations and develop their potential further.…”

Section: Introductionmentioning

confidence: 99%