12 July 1997
Source:
http://www.nttc.edu/law/lecd2.html
From Office of Law Enforcement
Technology Commercialization (OLETC)
Item Identification
Argonne has developed, under DOE Arms Control funding, a unique method for
high-reliability item identification by identifying microscopic surface
"fingerprints". This is done by comparing digital scanning electron microscope
(SEM) images of surface replicas taken from an inspected item. Some commercial
applications of this include identification of part forgeries and rare coins.
Another related application is surface inspection of parts that must remain
in use. The advantages of this surface identification inspection technique
are that the plastic replicas are very inexpensive, can be readily made in
the field, and are readily transported to the SEM lab, and the tagged or
inspected part can remain in the field.
Digital Image Comparison for Security
System
Argonne has extensive experience with software/hardware image processing
for Arms Control work in which digital images are compared for similarity.
This work led to a demonstration of a security system based upon changes
in a video digital image. The unique advantage of this system is that only
the regions in an image that would change upon tampering are examined for
changes.
HIDEW Software for Remote Sensing
Argonne researchers have developed the Hyperspectral Imagery Data Exploration
Workbench (HIDEW), a software tool incorporating sophisticated computer
techniques to analyze digital imagery for remote sensing purposes. HIDEW
is currently being used to identify terrestrial ecosystems and evaluate
mechanisms such as the effect of climate change on biota and the corresponding
biotic feedback to the climate. It could just as easily be applied to law
enforcement tasks that need to identify images or parts of images, or search
for patterns in digital images. The system allows scientists to recognize
visual textures and infer physical properties that would otherwise be
indistinguishable.
HIDEW has been developed to enable analysts to conveniently access and manipulate
high spectral-resolution imagery. The considerable size of this type of data
set poses a significant management challenge. HIDEW provides sophisticated
analysis tools accessed by a modern user interface to allow intuitive operation
by its users. It is also suitable for extracting specific data from large
data sets to feed other computer analysis tools with rigid data input
requirements that cannot deal with the very large original data sets.
Hyperspectral Pattern Matching
This work will exploit hyperspectral imagery analysis technology developed
by ANL. An image of a human face is scanned using a high-quality CCD camera.
The image is then reduced to a fractal file in a database. At appropriate
or necessary times, a group of persons entering or leaving a control point
can be scanned, and the results compared with the database. Any face not
previously scanned will be identified.
Sensornets
Argonne proposed a system to the U.S. Customs Service last year that would
provide a means to detect and characterize very-low-level airborne, and surface
marine, traffic to and from such sites as unattended off-shore platforms.
Utilizing a large number of inexpensive sensors in "suites" with some signal
recognition capabilities, and linked via very fine fiber-optic cable, one
can create an intelligent network that can identify, characterize, and record
acoustic and other signals from vehicles passing within a specified distance
of a platform. These signals can then be collected and analyzed to determine
whether a particular helicopter or vessel followed a particular route, or
visited certain platforms. This system would leverage work done for the ARIADNE
project for the U.S. Navy in detection of underwater objects. It also would
utilize an extensive collection of existing research on the identification
and characterization of aircraft acoustic signatures.
Data Access & Analysis
Technology
Argonne has done extensive work for the Joint Chiefs of Staff, US SOCOM,
DoE, and others in developing systems to seamlessly access multimedia information
from selected distributed databases and retrieving, analyzing, and archiving
information of interest to intelligence analysts. These tools have obvious
application in law enforcement
Lessons Learned Systems
Argonne has developed an automated system for accessing lessons learned to
support military planning. Lessons learned information could include after-action
reports, training exercise results, planning heuristics, subject-matter expertise
in a key problem domain, demonstrated solutions to operational problems,
and other information. The lessons learned system accesses records in a number
of predetermined formats from other automated systems as well as from records
entered directly into the system. Although each lessons learned system already
has its own structured format, an interface is provided so that the systems
are transparent to the user. The system, which can access lessons learned
developed in different formats and residing in different databases, also
has applicability to nondefense areas, such as environmental management and
energy facility operation. In environmental cleanup, experiences and
miscellaneous bits of information with approaches to dealing with specific
wastes could be valuable as the cleanup process (analogous to the military
planning process) moved forward. A lessons-learned system could also be
applicable to facility operation if a problem or situation developed for
which previous solutions has been recorded.
Access to Databases
Argonne has developed the Application Interface Engine (AIE), an object-oriented
computer software development environment that is being used by ANL, government
organizations, and industry to develop flexible and portable software
applications. The AIE follows open architecture standards, is nonproprietary,
and is subject to a comprehensive QA/CM process. It is available on both
the Sun Workstation (X Windows using either OPEN LOOK or Motif) and on PCS
(Microsoft Windows). This means that the same application will run on both
PC and Sun platforms transparently by linking with the appropriate AIE libraries.
This feature greatly decreases the burden of maintaining multiple versions
of the application. One of the strengths of the AIE is that it allows various
parts of an application to be located on different machines, and allows access
to different databases (using different database management systems) that
are located on different machines.
Information Systems for Law
Enforcement
Large-scale information retrieval systems to manage and search volumes of
text information are cornerstone components to law enforcement agencies which
compile vast amounts of crime information. This information consists of free
text, graphics, photos, images, and possibly audio and video. However, unless
these vast amounts of information can be efficiently and timely searched
for similar crime cases and distinguishing characteristics, law enforcement
activities are impeded. With the emergence of new technologies in information
retrieval and analysis, these large databases can be collected, searched,
and analyzed by agents with the application of advanced text retrieval tools.
These technologies include concept searches, boolean searches, natural language
searches and hyperlinks to text, graphics and multimedia components. All
data on a case can be organized together through this hyperlink technology
in a central repository. Various artificial intelligence tools can be effectively
utilized to provide intelligent assistance to agents analyzing and locating
information.
The Advanced Computer Application Group of Argonne National Laboratory has
extensive experience in full text information retrieval systems on PCS, local
area networks and Internet through the World Wide Web (WWW) and Wide Area
Information Server (WAIS) servers, leveraging off the expertise of production
systems developed for the Department of Energy. Data can be effectively
interchanged over secured local area networks and Internet connections to
allow geographically separated departments to rapidly exchange data and search
these independently maintained databases of information.
Detection of Narcotics and Other
Contraband
Argonne is currently engaged in research and infrastructure support for the
Counterdrug Technology Assessment Center of the Office of National Drug Control
Policy (ONDCP). CTAC is responsible for coordinating and overseeing all federally
funded research in the counter-narcotics area. There are more than 50 federal
departments, agencies, and bureaus engaged in drug control activities. Argonne's
current activities include the evaluation of nuclear, x-ray, and chemical
technologies for detection of contraband (narcotics, explosives, nuclear
materials, etc.) and the support of federal, state, and local law enforcement
agencies (LEAs) in increasing the use and effectiveness of advanced technologies.
Argonne has worked with the U.S. Customs Service, the U.S. Coast Guard, ARPA,
FBA, DEA, BATF, and others.
Argonne has developed and coordinated field tests at Drug Enforcement
Administration sites to evaluate instrumentation used for the detection of
illicit drug laboratories. Technologies were developed to reproducibly release
both large and small quantities of analytes. Argonne also has been involved
in the passive-remote detection of illicit substances using Fourier Transform
Infrared (FTIR) spectroscopy. The objective is to track vapors from moving
platforms such as helicopters or cars. Miniature equipment also was developed
and tested for use in covert activities. In addition, the Laboratory has
a program with the Federal Aviation Administration to evaluate nuclear techniques
for the detection of explosives in luggage.
Argonne has demonstrated the ability to detect cocaine inside a sealed container,
using a nontoxic simulant that was an accurate mockup of the chemical element
composition of cocaine hydrochloride. This demonstration, performed in response
to a suggestion by the DOE program sponsor (NN-20), used the Argonne "APSTNG"
system, which interrogates a volume to be inspected by a low-dose neutron
source, and detects the characteristic elemental gamma-ray spectra. Using
a flight-time technique the "APSTNG" can provide a coarse tomographic image
of the distribution of detected elements, behind walls or inside sealed
containers. Explosive and other contraband can also be detected.
Safeguards and Security Training/Orientation
Tools
The Information and Publishing Division has the following capabilities that
may be relevant to law enforcement. The Video Group in IPD-Media Services
has produced videos for use by DOE and ANL Safeguards and Security, and the
creation of videos on law enforcement topics for other groups is a current
IPD capability. Additionally, IPD provides many information services (graphic
design, editing, writing, information retrieval and organization, and computer
security) that could be extended to law enforcement groups.
Human Face Recognition
Argonne proposes to develop a neural-network-based face recognition system
for law enforcement applications. The system will be an adaptation and
integration of neural network and computer vision technology already developed
at Argonne for such applications as 3D cardiac motion analysis, 2D neural
imaging systems for automated crystal inspection, and automated weld
certification. The research draws on ANL's experience with neural networks,
fuzzy logic, and advanced pattern matching innovations.
Advanced Capabilities in Trace Elemental
Analysis
Trace elemental analysis ("fingerprinting") of evidence is an extremely powerful
tool in forensic investigations. Argonne National Laboratory has one of the
best equipped and staffed analytical chemistry laboratories in the United
States for trace elemental analysis. Relevant analytical capabilities in
the ACL include scanning electron microscopy (SEM), X-ray diffraction (XRD)
and fluorescence (XRF) spectrometry, furnace and flame atomic absorption
(AA) spectrophotometry, furnace and flame atomic absorption (AA)
spectrophotometry, inductively coupled plasma mass spectroscopy (ICP-MS).
Argonne has world-class expertise in the application of these techniques,
and its staff also are also highly experienced in the preparation of small
and/or one-of-a-kind samples for the determination of major, minor, and trace
elemental composition. In addition, Argonne has a formal quality assurance
program that includes sample chain-of-custody and analysis quality control
procedures to ensure sample integrity and analysis data quality.
Advanced Organic Analysis
Capabilities
To determine organic compounds e.g. solvents, illicit substances, and explosives
at trace levels, Argonne National Laboratory has the following capabilities;
liquid chromatography/mass spectrometry, gas chromatography/mass spectrometry,
supercritical fluid extraction and chromatography, Fourier transform infrared
(far, mid, and near) and Raman spectroscopy. These techniques can be used
to analyze volatile, semivolatile and heat-sensitive compounds at
parts-per-trillion level. Some of these capabilities have been used to determine
an illicit substance on U.S. paper currency at trace levels.
Forensic Laboratory Performance Evaluation
Program
Laboratory analyses or tests provide key information in many court cases;
confidence in those results can be a critical factor in determining the outcome
of a trial. One major indicator of confidence is a laboratory's participation
and successful performance in external proficiency testing (PT) or performance
evaluation (PE) programs for those analysis types or tests the laboratory
conducts. The Analytical Chemistry Laboratory (ACL) at Argonne National
Laboratory (ANL) has technical expertise in the use and interpretation of
PE program results; and has developed for the DOE a centralized, integrated
system for the assessment of environmental laboratory performance in PE programs.
The system includes the collection of PE study data from multiple programs,
assessment of laboratory performance using those data, and subsequent
distribution of that information for use in evaluation of laboratory performance.
Integration of results from several PE programs allows enhanced use of the
data from individual PE programs. Centralization provides consistency of
data interpretation, and eliminates the need for redundant assessments by
various end-user organizations. This can be particularly important in the
case of small organizations with fewer qualified personnel. In addition,
the centralized system can provide a list of qualified laboratories, so
organizations needing laboratory analysis services can find a laboratory
with acceptable performance to do their work. Distribution of PE and PT program
data via Internet makes the information easily accessible. PE and PT Programs
are applicable to forensic laboratories and this integrated, centralized
approach could greatly enhance the use of these programs to the law enforcement
community.
Intalligent Gas Sensor
Only 1 mm Square, a miniature gas sensor can detect multiple gases at very
low (ppm) levels. The sensor can operate from battery sources and is suitable
for gas detection instrument development. Potential applications for the
sensor include DEA, vehicle inspection, and explosives detection.
Using Hyperspectral Image Processing
for Remote Reconnaissance
Using neural processing algorithms and parallel computing techniques, Argonne
has developed a very quick method for extracting useful information from
hyperspectral data developed from photos. Hyperspectral imagery allows for
a very fine discrimination and definition of objects and their characteristics
at remote locations. DEA could use this method to identify illegal crops
or emissions from drug manufacture. The method may also be used to track
motion (vehicles, ships, etc.) based on temporal changes in complex hyperspectral
signatures. Hyperspectral imaging may also be applied to monitoring suspects,
checking them for trace elements, changes in body chemistry, and contaminants.
It might also be used for reconnaissance in remote locations, such as assessing
vandalism at southwestern U.S. archaeological sites.
Expert Systems Design for Security
Applications
Expert systems can provide decision support and map history of criminal
activities in an area. It can also develop MOs for criminals and areas, using
this information to predict crimes before they happen. The system can also
identify suspects based on heuristics and direct officers to overlook phenomenon;
can look for patterns in alibis and detect irregularities in statements,
and can be used to verify statements.
Cocaine Transfer From Currency to
People
Research has shown that the cocaine contaminating much of the paper money
circulating in major cities cannot easily rub off on the hands of people
who handle it. Cocaine becomes imbedded in the currency fibers and does not
rub off easily on the fingers of people who handle the currency.
For further information, contact:
Industrial Technology Development Center
Argonne National Laboratory
9700 S. Cass Ave., Bldg. 900
Argonne, IL 60439
1-800-627-2596, FAX 708/252-5230
eichamep@smtplink.eid.anl.gov
Click here for additional
information on Argonne capabilities
Last Modified: Monday, April 14 1997 09:59