Counter-concealment R&D

LUCENT

AI-assisted counter-concealment research focused on the environmental inconsistencies left behind by Null Coat rather than on a single “see-through” sensor.

The problem

Concealment across two markets.

Null Coat has spread in two distinct forms: a vehicle paint/coating formulation used to frustrate machine vision and automated tracking, and personal-applied formulations sold as skin creams, hair gels and related products.

No single sensing modality provides a reliable answer across both. LUCENT is Argent's effort to combine multiple weak clues into one stronger confidence assessment.

Thermal aerial view of highway traffic isolating a low-signature vehicle
LUCENTMultimodal counter-concealment R&D
OpticalPolarizationThermalDepth / RF
LUCENT
fusion
model
Method

Detect the hole in everything else.

LUCENT does not assume Null Coat can be “seen through.” It looks for mismatches among optical response, polarization, heat exchange, depth, motion, RF behavior, atmospheric disturbance and environmental reflections.

In effect, the system asks whether every sensor agrees that the world should look the way the concealed object is making it look.

Program status

Expanded public-safety pilot.

Read release

The current pilot includes controlled vehicle-coating tests as well as non-contact testing against personal-applied formulations supplied through participating law-enforcement laboratories.