Despite extensive video surveillance in and around public places, spotting strange behavior in crowds and detecting unusual equipment (like drones) is often challenging. This project aimed to develop passive radio frequency (RF) power spectrum tracking technology from people’s devices, such as cell phones, and remote controls, like drone video feeds, to help locate where the signals come from. The project combined passive and active electromagnetic sensing with radio frequency (RF) and infrared (IR) signals from cell phones and IR imagers, as well as distributed active millimeter wave (mm-wave) radars, to identify concealed threats and enhance awareness of soft target protected areas. The goal was to provide real-time data sensitive to unusual activities and provide tailored and effective security solutions. Data from the sensors can be used to direct the radar to focus on specific groups of people showing unusual behavior and help decision-makers responsible for protecting soft targets. The project achieved more detailed real-time surveillance and awareness without invading privacy by measuring the presence of RF emissions, not the content.