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Title: Day, night and all-weather security surveillance automation synergy from combining two powerful technologies

Abstract

Thermal imaging is rightfully a real-world technology proven to bring confidence to daytime, night-time and all weather security surveillance. Automatic image processing intrusion detection algorithms are also a real world technology proven to bring confidence to system surveillance security solutions. Together, day, night and all weather video imagery sensors and automated intrusion detection software systems create the real power to protect early against crime, providing real-time global homeland protection, rather than simply being able to monitor and record activities for post event analysis. These solutions, whether providing automatic security system surveillance at airports (to automatically detect unauthorized aircraft takeoff and landing activities) or at high risk private, public or government facilities (to automatically detect unauthorized people or vehicle intrusion activities) are on the move to provide end users the power to protect people, capital equipment and intellectual property against acts of vandalism and terrorism. As with any technology, infrared sensors and automatic image intrusion detection systems for global homeland security protection have clear technological strengths and limitations compared to other more common day and night vision technologies or more traditional manual man-in-the-loop intrusion detection security systems. This paper addresses these strength and limitation capabilities. False Alarm (FAR) and False Positivemore » Rate (FPR) is an example of some of the key customer system acceptability metrics and Noise Equivalent Temperature Difference (NETD) and Minimum Resolvable Temperature are examples of some of the sensor level performance acceptability metrics. (authors)« less

Authors:
;  [1];  [2]; ;  [3]
  1. Honeywell Labs, 3660, Technology Drive, Minneapolis MN 5518 (United States)
  2. Honeywell ACS, 1985 Douglas Drive North, Golden Valley MN 55422 (United States)
  3. L-3 Communications Infrared Products, 13532 N. Central Expressway, Dallas TX 75243 (United States)
Publication Date:
Research Org.:
American Nuclear Society, 555 North Kensington Avenue, La Grange Park, IL 60526 (United States)
OSTI Identifier:
21016387
Resource Type:
Conference
Resource Relation:
Conference: 2006 International congress on advances in nuclear power plants - ICAPP'06, Reno - Nevada (United States), 4-8 Jun 2006; Other Information: Country of input: France; 1 ref; Related Information: In: Proceedings of the 2006 international congress on advances in nuclear power plants - ICAPP'06, 2734 pages.
Country of Publication:
United States
Language:
English
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS; AIRCRAFT; AIRPORTS; ALGORITHMS; AUTOMATION; COMPUTER CODES; CRIME; DETECTION; EQUIPMENT; HAZARDS; HUMAN POPULATIONS; IMAGE PROCESSING; IMAGES; INTRUSION DETECTION SYSTEMS; NOISE; PERFORMANCE; SAFETY; SECURITY; SENSORS; WEATHER

Citation Formats

Morellas, Vassilios, Johnson, Andrew, Johnston, Chris, Roberts, Sharon D, and Francisco, Glen L. Day, night and all-weather security surveillance automation synergy from combining two powerful technologies. United States: N. p., 2006. Web.
Morellas, Vassilios, Johnson, Andrew, Johnston, Chris, Roberts, Sharon D, & Francisco, Glen L. Day, night and all-weather security surveillance automation synergy from combining two powerful technologies. United States.
Morellas, Vassilios, Johnson, Andrew, Johnston, Chris, Roberts, Sharon D, and Francisco, Glen L. Sat . "Day, night and all-weather security surveillance automation synergy from combining two powerful technologies". United States.
@article{osti_21016387,
title = {Day, night and all-weather security surveillance automation synergy from combining two powerful technologies},
author = {Morellas, Vassilios and Johnson, Andrew and Johnston, Chris and Roberts, Sharon D and Francisco, Glen L},
abstractNote = {Thermal imaging is rightfully a real-world technology proven to bring confidence to daytime, night-time and all weather security surveillance. Automatic image processing intrusion detection algorithms are also a real world technology proven to bring confidence to system surveillance security solutions. Together, day, night and all weather video imagery sensors and automated intrusion detection software systems create the real power to protect early against crime, providing real-time global homeland protection, rather than simply being able to monitor and record activities for post event analysis. These solutions, whether providing automatic security system surveillance at airports (to automatically detect unauthorized aircraft takeoff and landing activities) or at high risk private, public or government facilities (to automatically detect unauthorized people or vehicle intrusion activities) are on the move to provide end users the power to protect people, capital equipment and intellectual property against acts of vandalism and terrorism. As with any technology, infrared sensors and automatic image intrusion detection systems for global homeland security protection have clear technological strengths and limitations compared to other more common day and night vision technologies or more traditional manual man-in-the-loop intrusion detection security systems. This paper addresses these strength and limitation capabilities. False Alarm (FAR) and False Positive Rate (FPR) is an example of some of the key customer system acceptability metrics and Noise Equivalent Temperature Difference (NETD) and Minimum Resolvable Temperature are examples of some of the sensor level performance acceptability metrics. (authors)},
doi = {},
url = {https://www.osti.gov/biblio/21016387}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2006},
month = {7}
}

Conference:
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