Specifications

FIELDMARSHAL INTEGRATED SECURITY SERVICES
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strength of each line leaves a unique trace of the emitting object. Furthermore,
the ability to perceive a treat using multiple modes can potentially reduce the
false alarm rate.
Hyperspectral imaging covers a band of most alectromagnetic spectrum and
therefore reveals details that would not be distinguishable by simply examining
the visible part of the spectrum. Camouflaged objects on one side of the
spectrum might not be on the other side; for example, an entrance to a tunnel
hidden by foliage may not be evident in other image types , but could be detected
in a hyperspectral image; the same image may also make a distinction between
the electromagnetic spectrum reflected by the leaves covering the entrance and
that of the leaves covering the rock.
Hyperspectral systems - Solutions
to Food Safety
TMP-HSP revoluzionizes the food control process allowing the operator to
distinguish between safe and unsafe products, in areas of safe handling,
production, processing and control of food provisions.
Areas which woulld benefit the most from an accurate control are: raw
poultry fruits/vegetables, wheat and rice, dietary supplements, biological food
and buffet food. TMP-HSP also helps for the detection, identification and
separation of contamined food. The system can detect spectral traces of: dirt,
fungi, excremental material, indigested food, and bacterial pathogens agents
(Salmonella, Escherichia Coli O157:H7 (E. Coli)). It will result in a lower detection
time, determining a unique spectrum for different bacteria types, with much more
accurate results compared to that of conventional systems. The system is
capable of rel time monitoring of large amounts of food, so the operator will
obtain immediate feedback. Also the identification, removal, and carcass clearing
reduce the cross-contamination during the production process.
All the Hyperspectral Imaging systems contain at least one device that is used to
determine the food contamination, such as animal carcasses. Image processing
algorithms allows for the contaminants identification.
Hyperspectral Systems – Seismic
Vulnerability
The system can be used in a variety of applications. Projects include assessment
of seismic vulnerability of the main bridge structures (included Golden Gate and
San Francisco-Oakland Bay), the structural integrity of containers for nuclear
material and the possible damage that would be caused by a natural gas-tank
explosion in a suburban environment.
The system has been used in a nuclear test, as part of routine maintainance tool,
to determine points of wear in the tanks to anticipate any future accident.
Several organizations as the USGS, Government Agenzie and Research
Organizations have collected data on a wide variety of substances.This
information is available to anyone and can be downloaded from the web. The
system works on a data scanning and collecting system to be added to the
collection which will be available for sale. In addition, it has collected a large
number of spectral signatures that allow the system to distinguish the desired
substances from background information, providing commercially useful
information to the customer.
Hyperspectral systems - Control
and identification of documents,
currency, etc
RESEARCH OF ORGANIC AND INORGANIC EVIDENCES AND FORGED
DOCUMENTS IDENTIFICATION
The results of these experiments show that a forged passport can be
distinguished from an authentic one, on the basis of the spectral characteristics.
Furthermore, the document conditions (ex. new,old, wore) do not seam having an
appreciable effect on the the range generated by the hyperspectral camera. There
was almost no change in range for a given year, a significant amount of variations
could be noted from year to year.
These proof-of-concept experiments indicate that this technique can be useful for
the development of an automated method for passports in addition to that of the
Customs personnel . The data consistency from year to year allows a fairly
accurate comparison of an unknown passport with a catalog range. The data
variations along the year measured in these experiments implys that the catalog
range is necessary for each year of issuance. However, this requires a minimal
extra work during the development of the catalog and would be virtually invisible
to the end user.