The EDNA Public Safety Drone: Bullet-Stopping Lifesaving

摘要

Urban gun violence in cities across the world is a serious issue for public safety agencies and disaster management organizations. This led us to the development of the EDNA drone, an aerial robotics solution designed to equip first responders in high-risk settings with lifesaving-edge tools for situational awareness and non-lethal conflict resolution. The EDNA is an unmanned aerial vehicle (UAV) that delivers the patent-pending “Predictive Probable Cause” technology. The EDNA drone is designed to provide automated real-time analysis to assist teams entering high-risk situations where gun violence may occur. By leveraging machine learning, biometric sensors, and advanced materials in the field and routing feedback to an intuitive augmented-reality interface, the EDNA will provide autonomous threat detection and bullet-stopping capabilities wherever those features are needed--to groups such as Police and Sheriff's Departments, Fire Departments, and EMT and emergency rescue teams. Data from the EDNA drone's sensors is fed to machine learning algorithms running on the drone in real-time. Through a neural network trained on past data, the EDNA is able to detect the presence and location of firearms and explosives, even through walls or other obstacles. Through the use of advanced metal foams and composite materials, the armored drone can even stop bullets-functionality which has obvious benefits for humanitarian deployment.