The integration of varied types of EO, IR, and Laser Illumination sensors used for perimeter security
greatly improves the data that is available to the process of classifying potential threats. A key component
of the design of layered sets of sensors is to understand the method in which detection, recognition, and
identification distances are defined by each vendor. Historically, it has been challenging to compare each
vendor's stated values as each type of sensor has unique characteristics that hinder the process of
performing a so called "apples to apples" comparison. This results in more costly field testing and
software simulations that attempt to model real world deployments. What we do know is that solutions are
desired where multiple sensors are used to provide information to the Detection, Recognition through
Identification process, as well as, associated human or software-based threat assessment and reaction
processes.
Perimeter security typically involves several layers of detection and investigation. Many entities have
invested in detection sensors only to find out that they lack integrated or queued investigative sensors that
provide a better return on investment for their systems. When you add night vision sensors to the mix, the
challenges increase. This paper will examine sensor technologies and integration/command
control/analytics technologies that are attempting to tie things together. The latest technologies including
queued sensors and advances in detection/analytics using PTZ sensors will be covered.
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