Design and development of a low-cost multispectral imager for data fusion with hyperspectral imagers

Author(s):  
Byung Joon Ahn ◽  
Keaton Joosten ◽  
Wesley Ault ◽  
Jacob Braun ◽  
Ricky Fingers ◽  
...  
Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3817
Author(s):  
Nicholas Wei-Jie Goh ◽  
Jun-Jie Poh ◽  
Joshua Yi Yeo ◽  
Benjamin Jun-Jie Aw ◽  
Szu Cheng Lai ◽  
...  

Fever is a common symptom of many infections, e.g., in the ongoing COVID-19 pandemic, keeping monitoring devices such as thermometers in constant demand. Recent technological advancements have made infrared (IR) thermometers the choice for contactless screening of multiple individuals. Yet, even so, the measurement accuracy of such thermometers is affected by many factors including the distance from the volunteers’ forehead, impurities (such as sweat), and the location measured on the volunteers’ forehead. To overcome these factors, we describe the assembly of an Arduino-based digital IR thermometer with distance correction using the MLX90614 IR thermometer and HC-SR04 ultrasonic sensors. Coupled with some analysis of these factors, we also found ways to programme compensation methods for the final assembled digital IR thermometer to provide more accurate readings and measurements.


Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 179
Author(s):  
Said Munir ◽  
Martin Mayfield ◽  
Daniel Coca

Small-scale spatial variability in NO2 concentrations is analysed with the help of pollution maps. Maps of NO2 estimated by the Airviro dispersion model and land use regression (LUR) model are fused with measured NO2 concentrations from low-cost sensors (LCS), reference sensors and diffusion tubes. In this study, geostatistical universal kriging was employed for fusing (integrating) model estimations with measured NO2 concentrations. The results showed that the data fusion approach was capable of estimating realistic NO2 concentration maps that inherited spatial patterns of the pollutant from the model estimations and adjusted the modelled values using the measured concentrations. Maps produced by the fusion of NO2-LCS with NO2-LUR produced better results, with r-value 0.96 and RMSE 9.09. Data fusion adds value to both measured and estimated concentrations: the measured data are improved by predicting spatiotemporal gaps, whereas the modelled data are improved by constraining them with observed data. Hotspots of NO2 were shown in the city centre, eastern parts of the city towards the motorway (M1) and on some major roads. Air quality standards were exceeded at several locations in Sheffield, where annual mean NO2 levels were higher than 40 µg/m3. Road traffic was considered to be the dominant emission source of NO2 in Sheffield.


Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2480
Author(s):  
Isidoro Ruiz-García ◽  
Ismael Navarro-Marchal ◽  
Javier Ocaña-Wilhelmi ◽  
Alberto J. Palma ◽  
Pablo J. Gómez-López ◽  
...  

In skiing it is important to know how the skier accelerates and inclines the skis during the turn to avoid injuries and improve technique. The purpose of this pilot study with three participants was to develop and evaluate a compact, wireless, and low-cost system for detecting the inclination and acceleration of skis in the field based on inertial measurement units (IMU). To that end, a commercial IMU board was placed on each ski behind the skier boot. With the use of an attitude and heading reference system algorithm included in the sensor board, the orientation and attitude data of the skis were obtained (roll, pitch, and yaw) by IMU sensor data fusion. Results demonstrate that the proposed IMU-based system can provide reliable low-drifted data up to 11 min of continuous usage in the worst case. Inertial angle data from the IMU-based system were compared with the data collected by a video-based 3D-kinematic reference system to evaluate its operation in terms of data correlation and system performance. Correlation coefficients between 0.889 (roll) and 0.991 (yaw) were obtained. Mean biases from −1.13° (roll) to 0.44° (yaw) and 95% limits of agreements from 2.87° (yaw) to 6.27° (roll) were calculated for the 1-min trials. Although low mean biases were achieved, some limitations arose in the system precision for pitch and roll estimations that could be due to the low sampling rate allowed by the sensor data fusion algorithm and the initial zeroing of the gyroscope.


Author(s):  
A. F. Kheiralla ◽  
Hussain Yousif ◽  
Hassan Galal Hassan ◽  
Hafiza Abdelmoniem Khiery ◽  
Marwa Ghanim

2020 ◽  
pp. 495-501
Author(s):  
Jaya Prasad ◽  
Reema Anne Roy ◽  
Monish Mohan Kora ◽  
Abin Sam ◽  
Chriso Christudhas ◽  
...  

There are many integrated perimeter security solutions available, the main objective of this paper is to provide cost effective solution. This paper mainly focuses on design of a Low-cost vibration module with RS485 interface, Controller hub with RS485 interface and Ethernet interface and a Command Centre server. The platform consists of RS485 daisy chained vibration sensor network connected to control server via Controller hub. It is designed to pin point the area of intrusion and cueing the camera to that specified location. It can be integrated with smart devices like PTZ/Thermal/IR cameras or radars. Each daisy chain consists of 250 sensors with each sensor 3 metres apart, each ethernet hub can handle 2 daisy chains. The Controller hub gets vibration sensor information via RS485 and transmits data to Command centre using TCP/IP protocol. The Controller centre identifies the location of the sensor and moves the PTZ camera to the specific location and live streams the data to the user.


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