Short-range biological standoff detection system (SR-BSDS)

10.1117/12.394066 ◽

2000 ◽

Author(s):

V. James Cannaliato ◽

Bruce W. Jezek ◽

Larry Hyttinen ◽

John B. Strawbridge ◽

William J. Ginley

Keyword(s):

Short Range ◽

Detection System ◽

Standoff Detection

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Multispectral LIF-Based Standoff Detection System for the Classification of CBE Hazards by Spectral and Temporal Features

Sensors ◽

10.3390/s20092524 ◽

2020 ◽

Vol 20 (9) ◽

pp. 2524 ◽

Cited By ~ 1

Author(s):

Lea Fellner ◽

Marian Kraus ◽

Florian Gebert ◽

Arne Walter ◽

Frank Duschek

Keyword(s):

Spectral Data ◽

Classification Accuracy ◽

Detection System ◽

Laser Source ◽

Nanosecond Laser ◽

Time Resolved Fluorescence ◽

Data Set ◽

Time Resolved ◽

Standoff Detection

Laser-induced fluorescence (LIF) is a well-established technique for monitoring chemical processes and for the standoff detection of biological substances because of its simple technical implementation and high sensitivity. Frequently, standoff LIF spectra from large molecules and bio-agents are only slightly structured and a gain of deeper information, such as classification, let alone identification, might become challenging. Improving the LIF technology by recording spectral and additionally time-resolved fluorescence emission, a significant gain of information can be achieved. This work presents results from a LIF based detection system and an analysis of the influence of time-resolved data on the classification accuracy. A multi-wavelength sub-nanosecond laser source is used to acquire spectral and time-resolved data from a standoff distance of 3.5 m. The data set contains data from seven different bacterial species and six types of oil. Classification is performed with a decision tree algorithm separately for spectral data, time-resolved data and the combination of both. The first findings show a valuable contribution of time-resolved fluorescence data to the classification of the investigated chemical and biological agents to their species level. Temporal and spectral data have been proven as partly complementary. The classification accuracy is increased from 86% for spectral data only to more than 92%.

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Research on anti-AM interference of chaotic composite short-range detection system based on singular spectrum decomposition and reconstruction

Optik ◽

10.1016/j.ijleo.2020.165369 ◽

2020 ◽

Vol 221 ◽

pp. 165369

Author(s):

Dongxu Wei ◽

Si Chen ◽

Shuning Zhang ◽

Huichang Zhao ◽

Lingzhi Zhu

Keyword(s):

Short Range ◽

Detection System ◽

Singular Spectrum ◽

Spectrum Decomposition

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Laser short-range detection system using digital processing

10.1117/12.790924 ◽

2007 ◽

Author(s):

Ping Li ◽

Kun Li ◽

Huimin Chen ◽

Weirong Guo

Keyword(s):

Short Range ◽

Detection System ◽

Digital Processing

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A Short Range Obstacle Detection System using 8051 Microcontroller

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.36133 ◽

2021 ◽

Vol 9 (VI) ◽

pp. 5179-5182

Author(s):

Sanket S. Mallawat

Keyword(s):

Short Range ◽

Detection System ◽

Obstacle Detection ◽

Ultrasonic Sensor ◽

Small System ◽

Major Threat ◽

Human Safety

Unidentified flying objects (UFOs) and other threats have recently approached and then vanished from our environment, posing a major threat to human safety. we designed a short-range obstacle detection system based on 8051 microcontroller to assist us in detecting this type of impediment and alerting us before we are wondered. To do this, we use a buzzer and an LED in our system, and we're aiming to develop a small system (SROD) to detect the object for detecting the object we used ultrasonic sensor as a radar so when the obstacle is detected by radar the distance is displayed on the LCD.

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Optical detection of alpha emitting radionuclides in the environment

10.5194/egusphere-egu21-1847 ◽

2021 ◽

Author(s):

Faton Krasniqi

Keyword(s):

Short Range ◽

Large Scale ◽

Detection System ◽

Optical Detection ◽

Alpha Particles ◽

Remote Detection ◽

Incident Management ◽

Detection Approach ◽

Significant Damage

<p>Radiological emergencies involving accidental or deliberate dispersion of alpha emitting radionuclides in the environment can cause significant damage to humans and societies in general. A detection system to measure large-scale contamination of these radionuclides is currently not available. In case of a contamination, the only option is to evacuate the population from the affected areas and then run diagnostics by hand due to the short range of alpha particles in air, exposing thus the emergency teams to considerable risk. Even then, the results of emergency field applications are notoriously ambiguous, time consuming and tedious due to the centimetre range of the alpha particles in air. A novel detection approach which is capable of remote detection of alpha-emitting radionuclides in the environment will be reported. This approach will assist the on-site incident management and will enable detection of contamination threats without contact&#8212;from safe distances&#8212;avoiding thus contamination of operators and equipment.</p>

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FT-IR Standoff Detection of Thermally Excited Emissions of Trinitrotoluene (TNT) Deposited on Aluminum Substrates

Applied Spectroscopy ◽

10.1366/11-06229 ◽

2013 ◽

Vol 67 (2) ◽

pp. 181-186 ◽

Cited By ~ 15

Author(s):

John R. Castro-Suarez ◽

Leonardo C. Pacheco-Londoño ◽

Miguel Vélez-Reyes ◽

Max Diem ◽

Thomas J. Tague ◽

...

Keyword(s):

Energetic Materials ◽

Solid Phase ◽

Detection System ◽

Target Surface ◽

Least Squares Regression ◽

Passive Mode ◽

Standoff Detection ◽

Highly Energetic Materials ◽

Aluminum Plates ◽

Aluminum Substrates

A standoff detection system was assembled by coupling a reflecting telescope to a Fourier transform infrared spectrometer equipped with a cryo-cooled mercury cadmium telluride detector and used for detection of solid-phase samples deposited on substrates. Samples of highly energetic materials were deposited on aluminum substrates and detected at several collector-target distances by performing passive-mode, remote, infrared detection measurements on the heated analytes. Aluminum plates were used as support material, and 2,4,6-Trinitrotoluene (TNT) was used as the target. For standoff detection experiments, the samples were placed at different distances (4 to 55 m). Several target surface temperatures were investigated. Partial least squares regression analysis was applied to the analysis of the intensities of the spectra obtained. Overall, standoff detection in passive mode was useful for quantifying TNT deposited on the aluminum plates with high confidence up to target–collector distances of 55 m.

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