Systems and methods are provided for firearm event monitoring, including a motion sensor mounted on a firearm, a server device running application software that receives signals from the motion sensor, a machine learning module configured to create and run an identification algorithm, using data derived from the received signals, to determine a motion of the firearm indicative of an event and a controller coupled to the server device, the controller running application software configured to maintain a round count based at least in part on the indicated event.

Systems and methods are provided for weapon monitoring, including monitoring a plurality of users, each of the plurality of users having a respective one of a plurality of weapons, receiving signals from the plurality of weapons regarding usage thereof, displaying, via a display device, a graphical representation of geospatial positioning of the weapons, and providing, in response to detecting the change in operating state, an updated graphical representation, the updated graphical representation providing indicia of the change in the operating state.

Systems and methods are provided for weapon monitoring and action tagging, including storing a defined weapon action, wherein the defined weapon action is defined based on an inertial measurement from a weapon, the inertial measurement data indicative of at least one of a movement of the weapon, an orientation of the weapon, or a direction of the weapon, receiving sensor information from a weapon, wherein the sensor information includes inertial measurement data, evaluating the sensor information to determine the presence of the defined weapon action, and displaying, in response to determining that the defined weapon action occurred, indicia communicating the occurrence of the defined weapon action to a viewer via a graphical interface.

Systems and methods are provided for operating a firearm, including communicating with a connected device via a communication interface, detecting a local energy source in a radio frequency, and harvesting power from the local energy source in the radio frequency via a wireless-energy harvesting mechanism having a receiving antenna configured to receive the local energy source in the radio frequency, a rectifier configured to convert the received signal to direct current, and a DC-DC converter configured to alter voltage of the direct current to a desired voltage.

Systems and methods are provided for weapon systems monitoring and remote support, including application software that receives signals from a plurality of weapons, each weapon including a plurality of sensor types. A connection point may receive signals from the weapons within a deployment location, including sensor information recorded using sensors associated with the weapons and video from at least one camera. The application software may receive the signals from the connection point and process the signals to generate a graphical user interface representing positions and orientations of the weapons within the deployment location, the graphical user interface further presenting video of areas in proximity to each of the firearms, where the application software automatically updates the graphical user interface based on signals indicating changes in the positions and orientations of one or more of the weapons and related video content.

A modular underwater vehicle includes a hull having a series of modular sections, defining an interior housing, a propulsor coupled to a stern of the hull, a series of control surfaces coupled to the propulsor or the stern of the hull, and a power supply, a processor, and a nonvolatile memory device in the interior housing. The nonvolatile memory device has instructions stored therein which, when executed by the processor, cause the processor to supply power from the power supply to drive the propulsor and to actuate the plurality of control surfaces. At least one modular section of the series of modular sections is detachable.

A sensor determines the spin rate or rotation frequency of a munition body of a guided projectile relative to precision guidance munition assembly. The spin rate is used to determine launch velocity of the guided projectile early in flight before GPS is operationally active. The launch velocity is used to determine whether a corrective maneuver is needed to change the range of the guided projectile. Logic can control the canards on the canard assembly in response to the determination that a corrective maneuver is needed.

A sensor determines the spin rate or rotation frequency of a munition body of a guided projectile relative to precision guidance munition assembly. The spin rate is used to determine launch velocity of the guided projectile early in flight before GPS is operationally active. The launch velocity is used to determine whether a corrective maneuver is needed to change the range of the guided projectile. Logic can control the canards on the canard assembly in response to the determination that a corrective maneuver is needed.

Systems, methods, and computer-readable media are disclosed for object tracking. An example method may include receiving satellite signals from GPS satellites. The satellite signals may be indicative of satellite locations associated with the one or more GPS satellites and satellite timestamps associated with respective satellite locations. The method may further include determining, based on the satellite signals, a first location associated with a first tracking device. The method may further include receiving a target location associated with a target via a satellite transmission. The method may further include sending the target location to a second tracking device via a mesh network. The method may further include determining that a first distance between the first location and the target location, and the method may further include determining, based on the first distance, one or more actions.

Systems, methods, and computer-readable media are disclosed for object tracking. An example method may include receiving satellite signals from GPS satellites. The satellite signals may be indicative of satellite locations associated with the one or more GPS satellites and satellite timestamps associated with respective satellite locations. The method may further include determining, based on the satellite signals, a first location associated with a first tracking device. The method may further include receiving a target location associated with a target via a satellite transmission. The method may further include sending the target location to a second tracking device via a mesh network. The method may further include determining that a first distance between the first location and the target location, and the method may further include determining, based on the first distance, one or more actions.