Fire Control System for the Mounted Machine Gun Optic (MMO)

Our specialists developed AR capabilities for the US Army Picatinny Arsenal, which included development of a fire control system for the Mounted Machine Gun Optic (MMO) that integrates with the High Explosive Dual Purpose Airburst (HEDP-AB) ammunition programming unit (PU). We developed AR/MR hardware and software for use in vehicles and systems that improve situational awareness. Improved situational awareness included the development of multi-spectral sensors/systems including, but not limited to, acoustic, sonar, electromagnetic, radio frequency, thermal, and optical sensors and systems. The situational awareness sensors and systems included hardware, firmware, and software components that facilitate interfacing to AR/MR hardware/software components in real-time. Vehicles and platforms for situational awareness systems included, but are not limited to, ground-based vehicles, surface ships, submarines, aircraft, aircraft pod systems, persistent land-based sensors, and space-based sensors. These vehicles and platforms may be manned or unmanned and controlled or autonomous. Missions and applications related to improved situational awareness included, but are not limited to, automatic target recognition, electronic warfare (EW), signals intelligence (SIGINT), RF spectrum monitoring, direction finding (DF), precision targeting and tracking, information warfare, battle damage assessment, navigation in GPS denied environments, countermeasures deployment, chemical biological radiological (CBRN) detection, weapons control and guidance, and enhanced threat identification. These missions and applications include both operational and training scenarios, including development of simulated training environments, software, hardware, and applications for weapons training and maintenance. Also, we developed 3D content for military training applications as well software applications for AR live fire training exercises. In addition, we developed optical occlusion software, algorithms and hardware for AR training on weapons and AR integrated GPS denied applications. Finally, we developed applications for ballistics calculations, visual feedback and training for AR scopes and glasses, and deep learning models for automatic targeting of artillery targets.