A system for suppressing sight blooming in an infrared sight includes determining an n×n grid size; creating a grid of n×n averages; calculating a mean; determining if a heat source is detected; detecting a heat source radius; calculating the average of the outside boxes; estimating the average of the inside boxes; setting the source to zero; smoothing the boxes; subtracting the mean of the outside from the mean of the inside; feeding back the result into history; up-sampling the offset; subtracting the offsets; and displaying the image.

Captured samples of a physical structure or other scene are mapped to a predetermined multi-dimensional coordinate space, and spatially-adjacent samples are organized into array cells representing subspaces thereof. Each cell is classified according to predetermined target-identifying criteria for the samples of the cell. A cluster of spatially-contiguous cells of common classification, peripherally bounded by cells of different classification, is constructed, and a boundary demarcation is defined from the peripheral contour of the cluster. The boundary demarcation is overlaid upon a visual display of the physical scene, thereby visually demarcating the boundaries of a detected target of interest.

An apparatus and method for displaying an operational area to an operative of a host platform, said operational area being defined within an external real-world environment relative to said host platform, the apparatus comprising a viewing device (12) configured to provide to said operative, in use, a three-dimensional view of said external real-world environment, a display generating device for creating images at the viewing device, and a processor (32) comprising an input (34) for receiving real-time first data representative of a specified target and its location within said external real-world environment and configured to receive or obtain second data representative of at least one characteristic of said specified target, the processor (32) being further configured to: use said first and second data to calculate a geometric volume representative of a region of influence of said specified target relative to said real-world external environment and/or said host platform, generate three-dimensional image data representative of said geometric volume, and display a three dimensional model, depicting said geometric volume and created using said three-dimensional image data, on said display generating device for creating images at the viewing device, the apparatus being configured to project or blend said three-dimensional model within said view of said external real-world environment at the relative location therein of said specified target.

Techniques for tracing back a projectile to the projectile origin are described. A method includes detecting projectile track(s) in image(s). Each projectile track crosses multiple pixels in each image. The projectile track(s) correspond to projectile(s). The projectile track(s) in the image(s) are translated to traceback path(s). The traceback path includes a known location and a projectile origin (e.g. the location at which the projectile originated, also termed the shooter's location).

Search points in a search space may be projected onto images from cameras imaging different parts of the search space. Subimages, corresponding to the projected search points, may be selected and processed to determine if a target object has been detected. Based on subimages in which target objects are detected, as well as orientation data from cameras capturing images from which the subimages were selected, positions of the target objects in the search space may be determined.

A firearm system includes a firearm and a computer. Electronics in the firearm determine data that includes a pathway between different points of aim of the firearm as the firearm moves. The computer receives this data and builds an image of the pathway between the different points of aim of the firearm.

Systems, methods, and apparatus for detecting UAVs in an RF environment are disclosed. An apparatus is constructed and configured for network communication with at least one camera. The at least one camera captures images of the RF environment and transmits video data to the apparatus. The apparatus receives RF data and generates FFT data based on the RF data, identifies at least one signal based on a first derivative and a second derivative of the FFT data, measures a direction from which the at least one signal is transmitted, analyzes the video data. The apparatus then identifies at least one UAV to which the at least one signal is related based on the analyzed video data, the RF data, and the direction from which the at least one signal is transmitted, and controls the at least one camera based on the analyzed video data.

The present disclosure provides a target tracking method to be executed by a computing device, including: generating an optical flow image in accordance with a series of event data from a dynamic vision sensor, each event being triggered by movement of a target object relative to the dynamic vision sensor; determining a movement speed and a movement direction of at least one target object in a current image frame in accordance with the optical flow image; predicting a position of a corresponding target object in a next image frame in accordance with the movement direction and the movement speed; and when a predicted position is within a range of a field of view, taking the corresponding target object as a to-be-tracked target. The present disclosure further provides a computing device.

Systems, methods, and apparatus for performing an action when an aggregated confidence measure. Data is received from a first sensor proximate to a particular air space. Data is also received from a second sensor and a third sensor proximate to the particular air space. The data from the first sensor, second sensor, and third sensor are each analyzed to determine respective confidence measures that a UAV is within the particular air space. The first sensor corresponds to a first type of data, the second sensor corresponds to a second type of data, and the third sensor corresponds to a third type of data. The confidence measures from each sensor are aggregated together to generate a combined confidence measure indicating a possible presence of the UAV within in the particular air space. When the combined confidence measure exceeds a threshold, an action is taken.

A firearm system includes a firearm and a computer. Electronics in the firearm determine data that includes a pathway between different points of aim of the firearm as the firearm moves. The computer receives this data and builds an image of the pathway between the different points of aim of the firearm.