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At
the heart of a Fastlane system is a multi infra- red beam
matrix coupled with a custom designed microprocessor using
a neural network to run an opinion -forming “entity
management” system. |
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The
advantage of this new system is that it ‘thinks’ in real
time. When beams are broken the system analyses the speed
and pattern of the beam breaks and then links associated
beams breaks to entities. The result is that the system
can accurately position the size, shape and speed of individual
entities in the lane. By accurately positioning entities
in the lane the system can accurately detect tailgaters
as close together as 5 mm. |
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new technology allows the system to operate more safely
as it forms an opinion as to whether the barriers’
can safely be closed based upon knowing where the people
are in the lane, how big they are and how fast they are
moving in relation to the barriers position; this reduces
the chance of a collision between the users and the barriers
and it has the added benefit that the barriers can close
more tightly behind authorised users thereby closing the
lane to unauthorised users. |
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Another
advantage of being able to track multiple entities in the
lane is that the system does not have to wait for one authorised
user to pass through the lane before a second authorised
person can begin to be processed. This generates much faster
throughput rates. |
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Finally,
if additional beam breaks occur whilst an entity is in the
lane the system decides whether they are associated with
existing entities in the lane or represent new ones entering
the lane. This results in many fewer false activations from
umbrellas, briefcases, coats etc. |
