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.

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.

Embodiments described herein may provide an intelligent warning lamp that provides image recognition features using an image capture device and a target analysis device offering high-precision results. The target analysis device may perform facial recognition on a detected human in a surrounding image to obtain a facial feature, and match the obtained facial feature with features of a known target. For example, in a law enforcement application, the intelligent warning lamp may match facial features of people nearby a police car with a known criminal. If the match is found, a successful identification signal may be issued with information about the target. The intelligent warning lamp may include an automated deterrent system. The intelligent warning lamp may operate to determine a relative position of the target based on the image data, and may eject a deterrent in the direction of the target using the ejection driving device.

Embodiments described herein may provide an intelligent warning lamp that provides image recognition features using an image capture device and a target analysis device offering high-precision results. The target analysis device may perform facial recognition on a detected human in a surrounding image to obtain a facial feature, and match the obtained facial feature with features of a known target. For example, in a law enforcement application, the intelligent warning lamp may match facial features of people nearby a police car with a known criminal. If the match is found, a successful identification signal may be issued with information about the target. The intelligent warning lamp may include an automated deterrent system. The intelligent warning lamp may operate to determine a relative position of the target based on the image data, and may eject a deterrent in the direction of the target using the ejection driving device.

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 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 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.