An optical sight device includes a housing, a display panel and a reflecting element. The reflecting element is disposed in the housing. The reflecting element is disposed along an optical path defined from a point of an observer looking through the housing to the display panel. The reflecting element is provided between the observer and the display panel.

An automatic deviation correction method, which is applied to a shooting sighting telescope. The automatic deviation correction method includes the following steps: converting an optical image obtained by a shooting sighting telescope into an electronic image, extracting a target paper area from the electronic image, and performing pixel-level subtraction on the target paper area and an electronic reference target paper to detect points of impact, calculating a center point of each of the points of impact to obtain a deviation of the center point of each of the points of impact and a center point of the target paper area; and inputting the deviation into the shooting sighting telescope for automatically correcting subsequent shooting.

A method for determining a discharge event of a firearm includes receiving by an event detection module, (i) acceleration input signals over time including first acceleration input signals along a first axis, a second acceleration input signals along a second axis and a third acceleration input signals along a third axis; and (ii) rotation input signals over the time including first rotation input signals around the first axis, a second rotation input signals around the second axis and a third rotation input signals around the third axis. A sample event candidate is generated based on the plurality of acceleration and rotation input signals over the time. The sample event candidate is compared to a stored data collection of acceleration and rotation inputs known to represent at least one state of a user of the firearm. A state of the user is determined based on the comparing.

A system and method for determining a discharge event of a firearm includes receiving, by an event detection module, acceleration input signals and rotation input signals. An acceleration vector magnitude is calculated from the acceleration signals. The acceleration vector magnitude is compared to a threshold acceleration. A sample event candidate is assigned to the acceleration vector magnitude based on the comparing. The sample event candidate comprises the acceleration input signals and the rotation input signals for a predetermined duration of time. The sample event candidate is received at a machine learning module. Characteristics of the discharge event detected are determined including ammunition type based on the acceleration and rotation input signals in the sample event candidate.

A method for calculation of real time shooting instructions by calibrating data extracted from images of a shooting target and outputs of an inertial measurement unit (IMU) mounted on the body of a shooter. The method comprises calculating a result of a shooting event, calculating at least one physiological parameter of the shooter during a period preceding the shooting event according to an analysis of outputs of the IMU which is supported by at least one wearable device worn by the shooter, calculating shooting parameter by correlating between the at least one physiological parameter and the result, and instructing a presentation of shooting instructions calculated based on additional outputs of the IMU and the shooting parameter on a display of the mobile device or by a presentation unit of the at least one wearable device before an additional shooting event is detected.

A point of aim shows where a weapon is aimed on a target. An electronic device determines an impact location on the target of a projectile fired from the weapon, determines a distance from the point of aim to the impact location, and moves the point of aim in order to sight the weapon to the target.

The present invention relates to target acquisition and related devices, and more particularly to telescopic gunsights and associated equipment used to achieve shooting accuracy at, for example, close ranges, medium ranges and extreme ranges at stationary and moving targets.

The present invention relates to target acquisition and related devices, and more particularly to telescopic gunsights and associated equipment used to achieve shooting accuracy at, for example, close ranges, medium ranges and extreme ranges at stationary and moving targets.

A system for providing discharge monitoring of a firearm includes a first sensor, a trigger pull sensor assembly, an event detection module and a display. The first sensor senses a first acceleration along a first axis and sends a first input signal. The trigger pull sensor assembly senses mechanical movement of a trigger of the firearm, and communicates a second input signal corresponding to a position of the trigger. The event detection module receives the first input signal and compares the first acceleration to an acceleration threshold indicative of a shot; receives the second input signal and determines whether the second input signal is satisfies a second threshold indicative of a shot; determines whether a discharge has occurred based on both the first signal satisfying the acceleration threshold and the second input signal satisfying the second threshold; and generates an event detection signal based on the determination.

A method for determining a performance metric based on a discharge event of a firearm is provided. A plurality of first input signals over a sample window of time from a first inertial measurement unit (IMU) configured on the first firearm are received by a first event detection module associated with the first firearm of a first user. An occurrence of a first shot discharge of the first firearm at a first time based on the plurality of first input signals is identified by the first event detection module. An occurrence of a second shot discharge of the first firearm at a second time based on the plurality of first input signals is identified by the first event detection module. A first split time is determined for the first user based on a difference between the first and second times.