LLNL’s SAS technology embedded within a facility is developed to sense, detect, localize, alert, and communicate an active shooter(s) to first responders.  It relies on three integrated compact sensors that detect sound, infrared light (from the muzzle blast) and vibrations emanating from a gunshot.  Fusing the data from these detectors minimizes false alarms.

The key to time-reversal for an active shooter detection/tracking application is being able to estimate the space-time transfer function (Green’s function) between source-enclosure-receiver.  This approach begins with the acoustic mapping of an indoor muzzle blast. 

LLNL researchers have developed a lightweight drone-based GPR array that when flown over a surface with laid and/or buried objects could image the field of view and be able to detect targets and discriminate them from clutter. The imaging method employs a modified multi-static architecture to provide the highest signal to noise with the lowest system weight, making it ideal for airborne or…

The suppressor has a series of chambers for the propellant to flow through, but unlike all traditional suppressors, the chambers are open, not closed. The propellant is not trapped. It keeps moving. We manage its unimpeded flow through the suppressor. This is the key underlying technology of our suppressor design that enables all the improvements over the 100-year old traditional designs.

LLNL's high fidelity hydrocode is capable of predicting blast loads and directly coupling those loads to structures to predict a mechanical response. By combining this code and our expertise in modeling blast-structure interaction and damage, along with our access to experimental data and testing facilities, we can contribute to the design of protective equipment that can better mitigate the…