Patent classifications
F41A19/01
SYSTEMS AND METHODS FOR WEAPON EVENT DETECTION
Systems, devices, and methods are provided, wherein a device is attachable to or integrated in a firearm and includes a plurality of sensors that are each configured to sense a respective attribute of the firearm or of an environment surrounding the firearm, and are further configured to provide corresponding signals based on sensing the respective attribute. The systems, devices, and methods may be configured to determine an event from among a plurality of events based on the corresponding signals provided by the plurality of sensors. Systems that include the device may record event data and transmit the event data to various user systems for situational awareness, record keeping, training, and other organizational or legal-process purposes.
SYSTEM FOR AUTOMATICALLY DETERMINING AND CATEGORIZING AN EVENT FOR A FIREARM
Systems and methods for analyzing and categorizing firearm-related events are provided herein. A data collection device may be attached to a firearm. The data collection device may be outfitted with sensors to track the movements and forces of the firearm. The movement and force data may be analyzed to categorize the event. Machine learning techniques may be used to stores relationships between the data and the events. A profile for a user may be created that learns the firearm handling techniques of the user. The data collection device may interface with body cameras and other external equipment and may be used in law enforcement scenarios. The data collection device may also be used with civilians for shot analysis.
PNEUMATIC SYSTEM AND METHOD FOR SIMULATED FIREARM TRAINING
A training method and apparatus are disclosed. The training method may include converting a firearm capable of firing live ammunition to a pneumatic training device incapable of firing live ammunition. The training method may further include cycling a pneumatic training device through one or more cycles. Each of the cycles may simulate an actual firing of the firearm. Each of the cycles may also include triggering a trigger assembly of the pneumatic training device, using a charge of a pressurized gas to reset the trigger assembly, and advancing a counter of the pneumatic training device. After a certain number of cycles have been completed, a next cycle may be attempted, but not completed. Accordingly, the training method may enable a user to safely and realistically practice reloading, jam or malfunction clearing, or the like.
Device system and method for projectile launcher operation monitoring
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.
Device system and method for projectile launcher operation monitoring
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.
Sight post camera for a firearm
A firearm front sight post that is comprised of a camera assembly which captures an image or video, or a series of images or videos of what is in front of the firearm at the instant that the firearm is first fired, and at the instant that each and every subsequent shot is fired. The camera assembly is actuated by a actuation mechanism in communication with the trigger assembly of the firearm, and is activated when the trigger wall is met in the act of pulling the trigger of a firearm. The system is also comprised of a wireless transmitter that automatically sends the image/video from the camera assembly to a mobile application on a smartphone or other smart device, wherein the images/videos are encrypted, time-stamped and dated.
SHOT DETECTION AND VERIFICATION SYSTEM
A shot detection system for a projectile weapon comprising: an accelerometer, a power source, a memory; and a processor configured to: receive accelerometer data from the accelerometer; for a first region of interest, test a first property of the accelerometer data; and store a shot determination result in the memory.
SHOT DETECTION AND VERIFICATION SYSTEM
A shot detection system for a projectile weapon comprising: an accelerometer, a power source, a memory; and a processor configured to: receive accelerometer data from the accelerometer; for a first region of interest, test a first property of the accelerometer data; and store a shot determination result in the memory.
Weapon usage monitoring system with historical usage analytics
Systems and methods are provided for weapon system monitoring, historical usage analysis, and performance evaluation of a plurality of assets within a deployment location, where each asset of the plurality includes one or more sensors that record operational information of each asset and are used to produce at least one signal, including a server device running application software that uses the signal received from each asset to detect and store situational state data of each asset and performance level data of a party associated with each asset, and a machine learning system that uses the situational state data and the performance level data to determine an operational profile of the party.
Firearm including electronic components to enhance user experience
A firearm includes a barrel portion, a slide, and a frame. The frame includes a grip, and the grip includes a magazine chamber and a rear surface adjacent the slide. At least one sensor is carried by the grip, and the at least one sensor adapted to sense a state of the magazine detachably received in the magazine chamber corresponding to a number of cartridges of ammunition remaining in the magazine. A display is carried on the rear surface of the grip, and the display includes a plurality of illuminating devices. The display is operatively coupled to the at least one sensor and is operable to visually present the number of cartridges of ammunition remaining in the magazine by illuminating at least one of the plurality of illuminating devices.