MODULAR ARMORED TACTICAL COMBAT HOUSE - Action Target

TArgeTs ConTInued
We spoke at length about portable bullet traps
in a previous section, and there are targets that
can be used with these traps that offer a realistic
approach to the problem. We often discount
simple designs that function reliably for much
more costly and complex designs that do not.
Balloon targets are always a great tool because
they fall to the ground when hit in the designated
spot. These targets can be made of cardboard
or plastic, and they can also be used with the
3D targets that we are accustomed to seeing in
military circles.
Pop-up and swing-out targets can provide
more realism than stationary targets can, but
the motion is not always indicative of realistic
movements inside houses. Targets that cannot
make realistic movements may not be any better
than stationary targets in some applications. In
these cases, you might be better off simply
hiding the stationary target behind boxes or
other props.
p rAdIo ConTrolled TArgeTs Are greAT In A fACIlITy
THAT Is deployed or oTHerwIse reMoTe In ITs loCATIon.
We always seem to think that wireless radio
control technology is the pinnacle of portability
in a target. However, it comes with its own set
of problems as well. Radio controlled targets
are great in a facility that is deployed or
otherwise remote in its location. But the minute
a wire is run into the training complex for a
camera or some other device, the “no-wire”
rule is broken and hard wired targets become
just as easy to use inside the house as radio
controlled units.
One last idea worth mentioning is the use of a
special function target. In this application, the
target activates when a person moving through
the house trips a wire or a beam of light. It
becomes a bit of a self-driven scenario. You
have to be careful about target placement, but
this can be a great way to have the targets
function repeatedly in a given manner. If you
want to change the scenario, simply move the
sensor or move the target.
p If we wAnT To provIde THe besT TrAInIng possIble,
THen we HAve To provIde THe MosT reAlIsM possIble.
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