Design and test results of compact imaging spectrometer for chemical detection and identification

2018 ◽  
Author(s):  
Louis Moreau ◽  
Sylviane Lelièvre ◽  
François Tanguay ◽  
Gaetan P. Perron
Keyword(s):  
Chemical Detection ◽  
Test Results ◽  
Imaging Spectrometer ◽  
Detection And Identification

Field test results of standoff chemical detection using the FIRST

2007 ◽  
Author(s):  
Thomas S. Spisz ◽  
Patricia K. Murphy ◽  
Christopher C. Carter ◽  
Alison K. Carr ◽  
Alexandre Vallières ◽  
...  
Keyword(s):  
Field Test ◽  
Chemical Detection ◽  
Test Results

Electro-optical technology for remote chemical detection and identification

1996 ◽  
Author(s):  
Thomas G. Quinn ◽  
Robert L. Gross ◽  
John T. Ditillo ◽  
William M. Lagna
Keyword(s):  
Chemical Detection ◽  
Optical Technology ◽  
Detection And Identification

Detection and Identification of Error in On-Line Monitoring of Transmission Line

2014 ◽  
Vol 687-691 ◽  
pp. 869-873
Author(s):  
Song Hai Fan ◽  
Shu Hong Yang
Keyword(s):  
Wavelet Analysis ◽  
Transmission Line ◽  
Systematic Approach ◽  
Abrupt Change ◽  
Power Grid ◽  
Positive Sequence ◽  
Test Results ◽  
Detection And Identification ◽  
On Line ◽  
Sequence Parameters

Systematic approach for the transmission line positive sequence parameters, temperature, and sag based on wavelet analysis to detect error is developed in this work. Unbiased (random/Gaussian) error such as, transient meter failures, transient meter malfunction, and measurements captured during system transients, are inherently in the form of large abrupt change of short duration in a measurement-sequence. These should be detected before the data is used because their presence will lead to insecure and unstable of power grid. The test results of the proposed method based on data of Sichuan power grid are presented.

scholarly journals Detection of Fake Indian Currency Notes using Deep Learning

2021 ◽  
Vol 9 (VII) ◽  
pp. 1353-1357
Author(s):  
Soha K Deshpande
Keyword(s):  
Real Time ◽  
Identification System ◽  
Detection Accuracy ◽  
Test Results ◽  
Test Dataset ◽  
Model Based ◽  
Detection And Identification ◽  
Commercial Transaction ◽  
Normal Human ◽  
Visually Challenged

A normal human being can easily see and distinguish any banknote, however doing the same job is extremely difficult for someone who is visually challenged or blind. Because money plays such an essential part in our everyday lives and is required for any commercial transaction, real-time detection and recognition of banknotes is a must for anyone who is blind or visually impaired. The mobilenet based CNN model-based Indian currency detection and identification system is presented for this purpose, and it is quick and accurate. To make the system more resilient, pictures of various denominations and situations were collected first, and then these images were supplemented with various geometric and image modifications. These augmented pictures are then manually tagged, and training and validation image sets are created from them. Later, the trained model's performance was assessed on a real-time scenario as well as a test dataset. The suggested mobile net model-based technique exhibits detection accuracy of 91.33% according to the test results. This standalone system operates in real-time.

scholarly journals Remote Raman Detection of Chemicals from 1752 m During Afternoon Daylight

2019 ◽  
Vol 74 (2) ◽  
pp. 233-240 ◽  
Author(s):  
Anupam K. Misra ◽  
Tayro E. Acosta-Maeda ◽  
John N. Porter ◽  
Miles J. Egan ◽  
Macey W. Sandford ◽  
...  
Keyword(s):  
Toxic Waste ◽  
Remote Detection ◽  
Target Range ◽  
Volcanic Gases ◽  
Chemical Detection ◽  
Vibrational Modes ◽  
Detection And Identification ◽  
High Level ◽  
Methane Clathrate ◽  
Very High

The detection and identification of materials from a distance is highly desirable for applications where accessibility is limited or there are safety concerns. Raman spectroscopy can be performed remotely and provides a very high level of confidence in detection of chemicals through vibrational modes. However, the remote Raman detection of chemicals is challenging because of the very weak nature of Raman signals. Using a remote Raman system, we performed fast remote detection of various solid and liquid chemicals from 1752 m during afternoon hours on a sunny day in Hawaii. Remote Raman systems with kilometer target range could be useful for chemical detection of volcanic gases, methane clathrate icebergs or fire ice, toxic gas clouds and toxic waste, explosives, and hazardous chemicals. With this successful test, we demonstrate the feasibility of developing future mid-size remote Raman systems suitable for long range chemical detection using helicopters and light airplanes.

scholarly journals Environmental Test Results of a Flight Model of a Compact Imaging Spectrometer for a Microsatellite STSAT-3

2011 ◽  
Vol 22 (4) ◽  
pp. 184-190 ◽  
Author(s):  
Sang-Jun Lee ◽  
Jung-Hyun Kim ◽  
Jun-Ho Lee ◽  
Chi-Won Lee ◽  
Tae-Sung Jang ◽  
...  
Keyword(s):  
Test Results ◽  
Imaging Spectrometer ◽  
Environmental Test ◽  
Flight Model

Design and first test results of the Finnish airborne imaging spectrometer for different applications (AISA)

1993 ◽  
Author(s):  
Bart M. Braam ◽  
Jukka T. Okkonen ◽  
Mauri Aikio ◽  
Kai Makisara ◽  
John F. Bolton
Keyword(s):  
Test Results ◽  
Imaging Spectrometer ◽  
Airborne Imaging

scholarly journals Single-shot chemical detection and identification with compressed hyperspectral Raman imaging

2017 ◽  
Vol 42 (11) ◽  
pp. 2169 ◽  
Author(s):  
Jonathan V. Thompson ◽  
Joel N. Bixler ◽  
Brett H. Hokr ◽  
Gary D. Noojin ◽  
Marlan O. Scully ◽  
...  
Keyword(s):  
Raman Imaging ◽  
Chemical Detection ◽  
Single Shot ◽  
Detection And Identification
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