Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Smart Barrier Design and Evaluation (ReKonTM: An Integrated Detection and Assessment Perimeter System)

Technical Report ·
DOI:https://doi.org/10.2172/1411753· OSTI ID:1411753
 [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Many government and military sites continue to demand high performance security technologies such as those afforded by a traditional perimeter intrusion detection and assessment system (PIDAS), but require additional standoff beyond the existing perimeter. To meet such varied needs, a perimeter security system needs to be configurable to meet the demands unique to each site, adaptable to the latest sensor technology and security requirements, and scalable to provide for installation at short temporary perimeters just as well as large multi-mile perimeters. ReKonTM is an integrated perimeter security system solution, one that couples access delay with detection and assessment. A prototype system was designed and built that integrated fiber optic break sensors, active infrared sensors, fence disturbance sensors, video motion detection, ground sensors, and vehicle/human delay barriers. ReKonTM uses a machine learning fusion technique to determine whether an alarm event has occurred as opposed to the conventional system which simply triggers an alarm event when any one sensor is activated. This novel perimeter solution was designed to be configurable for use at facilities ranging from high-security military sites to commercial power plants, to petro/chemical facilities of various kinds. ReKonTM was evaluated against a conventional system and logical inference fusion system with a fixed dataset that was collected over five months from the perimeter. ReKon outperformed both systems with respect to nuisance alarm rate and had only one less alarm detection than the conventional system out of a total of 133 total true alarm events. The sensors on the ReKonTM perimeter generated approximately 8.86 nuisance alarms per day using the conventional system. Using the machine learning fusion these were greatly reduced to approximately 0.02 alarms per day. ReKonTM may enable the use of high performance perimeter security for reduced cost in environments previously incapable of achieving such performance due to budget or installation constraints.

Research Organization:
Sandia National Laboratories (SNL), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
NA0003525
OSTI ID:
1411753
Report Number(s):
SAND2017-12243R
Country of Publication:
United States
Language:
English

Similar Records

Design and evaluation of the ReKon : an integrated detection and assessment perimeter system.
Technical Report · Thu Jan 31 23:00:00 EST 2013 · OSTI ID:1093706

Design of a physical security perimeter fencing system.
Conference · Fri Oct 01 00:00:00 EDT 2010 · OSTI ID:1028433

Deliberate Motion Analytics Fused Radar and Video Test Results Deployed Beyond the Perimeter Fence in a High Noise Environment
Technical Report · Thu Apr 01 00:00:00 EDT 2021 · OSTI ID:1855028

Related Subjects