The present invention provides a helmet having the driving video record of 360 degrees, comprising: a helmet; the first and second video cameras; and the control module. The first and second video cameras are respectively set at the horizontal, vertical or oblique diagonal positions of the helmet. The video recording angle of view whereof are both greater than 180 degrees. The control module is set in the interior of the helmet to receive and process the images of the first and second video cameras and provide electricity. Through the first and second video cameras are set at the diagonal positions of the helmet respectively and the video recording angle of view of them are both greater than 180 degrees, the 360 degree full image surrounding the helmet can be captured, shot, and recorded completely without the problem of recording dead angle of view.

The invention relates to a protective helmet, and in particular, to a protective motorcycle helmet, comprising an antenna (1) for radio transmission, an outer shell (2) for distributing impact forces, an inner layer (3), which is accommodated by the outer shell (2), for damping impact forces, and a socket (4), which is firmly connected to the outer shell (2), for contacting a digital device (5) for wireless communication, wherein the socket (4), when contacting the digital device (5), electrically connects the latter to the antenna (1) for wireless communication. The protective helmet is characterized in that at least a partial layer of the outer shell (2) is disposed between the antenna (1) and the inner layer (3).

A method for providing a collision warning using an image capture device mounted on a rear portion of a helmet, including receiving a series of image frames and receiving spatial position data about the helmet from an inertial measurement unit. The spatial position data includes at least one of a roll angle, a yaw angle, and a pitch angle of the helmet. The method includes adjusting an orientation of the series of image frames based on the spatial position data. Thus, the orientation of the series of image frames is level with an orientation of the scene. The method includes identifying a target vehicle and calculating a speed of the target vehicle based on a rate of change of a position of the target vehicle. Further, the method includes controlling an output device and/or the motorcycle based on the speed of the target vehicle and the rate of change.

Disclosed are a device and a system for warning a driver of an incoming back and lateral vehicle. The device or system captures a wide-angle 180-degree image of view behind a driver's shoulders to analyze and classify the image through a machine learning technique and determine whether there is a potential threat to the driver. If there is a threat, the device or system will warn the driver, thus improving the driver's safety dramatically. Moreover, Darknet is used to provide a faster response in the prediction of threats through image processing and classification.

A motorcycle helmet includes electronic components operating within the motorcycle helmet. At least a portion of the electronic components is embedded within an outer shell of the helmet or an inner shell of the helmet. The plurality of electronic components comprise one or more internally mounted sensors for detecting objects present in a blind spot of a wearer. A software program may execute within the electronic components, which receiving processed output based on data from the one or more internally mounted sensors. An output mechanism integrated into the motorcycle helmet and electronically coupled to the electronic components may present the processed output to a wearer of the helmet.

A method and process is described for transmitting a live video stream, from the perspective of a participant in an activity that is viewable in a 360-degree format by anyone receiving the video stream. The method comprises: taking of live video by multiple cameras situated around the circumference of either a helmet or article of headgear, or multiple cameras situated around the torso; transmitting the video images wirelessly to a receiver; combining, or stitching, the images together at a receiving terminal to form an output which is a live 360-degree video; making the video available for transmission in either recorded or live format to stream online for viewing via a suitably equipped headset.

An augmented-reality helmet which in one embodiment is a full-face motorcycle helmet with a look-down micro-display that projects a virtual image in-line with the helmet's chin bar. In order to accommodate the power requirements, the helmet includes a battery pack mounted at the base of the motorcyclist's skull. A wind turbine charges the batteries. Exhaust from the turbine is then deducted through the helmet to cool the battery pack and/or the motorcyclist's head. The turbine is controllable so that it can operate as a circulating fan to provide ventilation. A digital gyroscope provides a control input to a controller for operating a steerable headlight of the motorcycle to track the rider's head movements; and provides acceleration output to an algorithm that will contact emergency responders if the rider is non-responsive after a collision. A 170 degree rear-view camera is mounted within an aerodynamic fairing on the back of the helmet.

A portable system providing augmented vision of surroundings. In one embodiment the system includes a helmet, a plurality of camera units and circuitry to generate a composite field of view from channels of video data. The helmet permits a user to receive a first field of view in the surroundings based on optical information received directly from the surroundings with the user's natural vision. The camera units are mounted about the helmet to generate the multiple channels of video data. Each camera channel captures a different field of view of a scene in a region surrounding the helmet.

An embodiment of a vision system wearable by a user provides enhanced awareness of activities in a surrounding scene. A helmet permits a direct view of portions of the scene with unaided, natural vision. System components include a processing and control unit, multiple cameras positioned along an outside surface of the helmet, sensors providing signals indicative of velocity or acceleration, and a pair of displays. Based on image frames derived from the cameras, the processing and control unit provides images for presentation on the displays based on programmably adjustable fields of view, enabling simultaneous viewing on the displays of selectable fields of view while the user continues to receive direct views of the scene with unaided, natural vision. In an embodiment of a related method, frames of video data from different fields of view are monitored for detection of a potential threat based on a criterion for classifying an object.

One variation of a method for recording accidents includes: in a first mode, capturing a second video frame at a second time, storing the second video frame with a first sequence of video frames, captured over a buffer duration, in local memory in the helmet, removing a first video frame captured outside of the buffer duration from local memory, and rendering a subregion of the second video frame on a display arranged within the helmet; in response to detection of an accident involving the helmet, transitioning from the first mode into a second mode; in the second mode, capturing a second sequence of video frames, and storing the second sequence of video frames exceeding the buffer duration in local memory; and generating a video file from the first sequence of video frames and the second sequence of video frames stored in local memory.