Abstract: The present disclosure discloses a method for monitoring driving behavior risk degree, including: acquiring first vehicle size information of a first vehicle, second vehicle size information of a second vehicle, vehicle driving information and vehicle driving environment information; determining the number of overlapping regions of the first vehicle and the second vehicle based on the first vehicle size information, the second vehicle size information and the vehicle driving information; and determining risk degree information of driving behavior based on the number of overlapping regions, the vehicle driving information and the vehicle driving environment information. This method may be applied in multiple scenarios, and facilitates drivers or passengers in avoiding them from traffic collision incidents, so that the safeties of the drivers and the passengers is greatly improved.

Abstract: A method for monitoring driving behavior risk degree, comprises the steps of: acquiring first vehicle size information of a first vehicle, second vehicle size information of a second vehicle, vehicle driving information and vehicle driving environment information; determining the number of overlapping regions of the first vehicle and the second vehicle based on the first vehicle size information, the second vehicle size information and the vehicle driving information; and determining risk degree information of driving behavior based on the number of overlapping regions, the vehicle driving information and the vehicle driving environment information. This method may be applied in multiple scenarios, and facilitates drivers or passengers in avoiding them from traffic collision incidents, so that the safeties of the drivers and the passengers is greatly improved.

Abstract: The present application is applicable to the field of computer application technology, and provides methods and devices for detecting driver distraction, including: acquiring the EEG data of the driver; preprocessing the EEG data, and then inputting it into a pre-trained distraction detection model to obtain the distraction detection result of the driver; obtaining the distracted detection model by training a preset convolution-recurrent neural network using EEG sample data and corresponding distracted result label; sending the distraction detection result to an in-vehicle terminal associated with the identity information of the driver, wherein the distraction detection result is used to trigger the in-vehicle terminal to generate driving reminder information according to the distraction detection result. When detecting driver distraction, the accuracy and efficiency are improved, thereby reducing the probability of traffic accidents.

Abstract: Disclosed is an electromagnetic shielding film, comprising a release film layer, an insulation layer, a black insulation shielding layer, a metal layer, a conductive paste layer and a protective film layer which are sequentially connected. The conductive paste layer further comprises an electromagnetic wave absorbent. The electromagnetic wave absorbent is a mixture of one or more of carbon nanotubes, graphene and ferrite.

Abstract: The present invention provides an electromagnetic wave shielding film, comprising at least one electromagnetic shielding layer, one side of the electromagnetic shielding layer being an adhesive layer, and the other side an insulating layer. At least one side of the insulating layer is rough with a roughness of 2-10 ?m. The thickness of the insulating layer is 1-10 ?m. The thickness of the electromagnetic shielding layer is 10-5000 nm. The present invention also provides a method for preparing an electromagnetic wave shielding film, which includes roughening an insulating layer or adding inorganic particles to the material of the insulating layer to form an insulating layer with a roughened surface, forming an electromagnetic shielding layer on the roughened surface, and forming an adhesive layer on the surface of the electromagnetic shielding layer. The present invention significantly reduces the grounding resistance when the electromagnetic shielding film is applied.

Abstract: Disclosed is an electromagnetic shielding film, comprising a release film layer, an insulation layer, a black insulation shielding layer, a metal layer, a conductive paste layer and a protective film layer which are sequentially connected. The conductive paste layer further comprises an electromagnetic wave absorbent. The electromagnetic wave absorbent is a mixture of one or more of carbon nanotubes, graphene and ferrite.