An electronic device determines target information about a target and recommends a target based on the target information.

Systems and methods for deploying smart munitions may provide targeting metadata generated by surveillance networks to munitions deployment and guidance systems for smart munitions. Targeting metadata may be received by a conduit system and automatically processed to generate guidance and deployment data actionable by a munitions deployment platform.

Systems and methods for deploying smart munitions may provide targeting metadata generated by surveillance networks to munitions deployment and guidance systems for smart munitions. Targeting metadata may be received by a conduit system and automatically processed to generate guidance and deployment data actionable by a munitions deployment platform.

A fire control method against aerial targets flying toward a protection object when the position of the protection object is known includes measuring the position of the aerial target, estimating the position of the aerial target, estimating the velocity of the aerial target, predicting the future path of the aerial target from the estimated position of the aerial target and the estimated velocity of the aerial target, and deciding, on the basis of the predicted path, whether the aerial target i.) is incoming and thus a threat against the protection object, ii.) is passing by and thus not a threat to the protection object.

A fire control method against aerial targets flying toward a protection object when the position of the protection object is known includes measuring the position of the aerial target, estimating the position of the aerial target, estimating the velocity of the aerial target, predicting the future path of the aerial target from the estimated position of the aerial target and the estimated velocity of the aerial target, and deciding, on the basis of the predicted path, whether the aerial target i.) is incoming and thus a threat against the protection object, ii.) is passing by and thus not a threat to the protection object.

An optical detection system for detecting a hostile optical component without exposing the surrounding to unnecessary hazards is disclosed. The system comprises a laser unit configured to provide an adjustable laser beam along an optical path to scan for the optic component or to act as jammer by providing a target spoofing; a single aperture for the optical path; a detector configured to detect through the single aperture retroreflections of the laser beam at the optical component; and a camera for detecting through the single aperture potential candidates for the hostile optical component.

Provided is a tool for providing long distance shooters with the ability to receive information from others in the field to adjust their weapon system for the best advantage based on distance, location, and range. The tool may implemented as an application on a mobile device such as a smart phone, for example, making the tool light weight, space efficient, and portable for use in the field. The communication ability allows for tracking shooting partners as well as on-the-spot coordination. The tool further provides range markings, yard lines, and topographic data that allow the shooter to make decisions based on real time data. Shooters are therefore afforded a tool that is portable, easy to use, and flexible enough to use in high-pressure environments.

The projectile-launcher operation monitoring device includes at least one displacement-sensor and a processor coupled with the displacement-sensor. The displacement-sensor acquires measurements relating to the displacement of the projectile-launcher and to produce a sampled time signal of values relating to the displacement. The processor receives from the displacement-sensor the sampled time signal to determine projectile-launcher operation parameters therefrom, by employing a deep-learning system. The deep-learning system includes an encoder receiving sample-frames from the sampled time signal producing codes relating to the sample-frames. Each of the codes is a vector of values relating to the probabilities of features in the received sample-frames.

A remote-controlled weapon system, mounted in a moving platform, includes at least one processor that implements: a first posture calculator that calculates a first pixel movement amount corresponding to a posture change amount of a camera during a time interval between a first image and a second image, received after the first image; a second posture calculator that calculates a second pixel movement amount corresponding to a control command for changing a posture of the camera to match a moving target, detected from the second image, with an aiming point; and a region of interest (ROI) controller that calculates a third pixel movement amount corresponding to vibration of the camera based on the first pixel movement amount and the second pixel movement amount, and estimate a location of an ROI that is to be set on the moving target of the second image, based on the third pixel movement amount.

An ordnance munition is included in an intelligent ordnance projectile delivery system and equipped with targeting and guidance systems that allow the ordnance munition to collaborate with other devices to intelligently select targets and/or to guide the ordnance munition to its selected target. The ordnance munition may be configured to generate first location information based on its determined approximate location, send the generated first location information to a wireless transceiver in proximity to the first ordnance munition, and receive location information from the wireless transceiver in response. The ordnance munition may determine its more precise location based on the received location information, and generating second location information based on the more precise location. The ordnance munition may change or adjust its flight path or trajectory based on the generated second location information.