52464results about "Character and pattern recognition" patented technology

The invention discloses an image processing method and device and a storage medium. The method comprises the steps of obtaining a to-be-simulated 3D convolution model and training data; decomposing the 3D convolution model into cascading of a 3D space convolution model and a 3D time convolution model to obtain a pseudo 3D cascading convolution model; training a pseudo 3D cascade convolution modelby using the training data, and obtaining parameters of a 3D spatial convolution model and a 3D time convolution model; converting the 3D space convolution model and the 3D time convolution model intoa 2D space convolution model and a 2D time convolution model; setting a feature rearrangement rule for the 2D spatial convolution model and the 2D time convolution model; mapping model parameters ofthe 3D spatial convolution model and the 3D time convolution model into parameters of a 2D spatial convolution model and a 2D time convolution model to obtain a 2D cascaded convolution model; and performing convolution operation on the image by using the 2D spatial convolution model and the 2D time convolution model. By means of the mode, image processing conducted through 3D convolution operationcan be achieved through the 2D convolution model.

The invention provides an Internet of Vehicles key information classification early warning method and a vehicle-mounted device. The Internet of Vehicles key information classification early warning method comprises the steps: acquiring Internet of Vehicles information of a target vehicle; determining current driving state information of the target vehicle according to the Internet of Vehicles information; and determining the type of information sent to the target vehicle according to the driving state information. According to the invention, the information with different emergency degrees can be sent to the user according to the current driving state information, multi-channel grading early warning is realized according to the information type, and the effects of assisting driving, promoting safety and improving user experience are achieved.

The invention discloses a sleeve fault diagnosis method and system. The method comprises the following steps: preprocessing an acquired sleeve infrared image to filter out a non-heating part; segmenting the image of which the non-heating part is filtered out to obtain a single sleeve image; diagnosing the sleeve fault according to the segmented single sleeve image. According to the invention, theinfrared image of the transformer sleeve is preprocessed and segmented, therefore, an infrared image of a single sleeve is obtained; the temperature of each part of the sleeve can be conveniently obtained by converting the gray scale of each pixel in the gray scale map of the infrared image of the single sleeve into the corresponding temperature value, the method is simple but very ingenious, thefaulted sleeve and the faulted area can be quickly positioned, the specific fault type can be judged, and convenience and quickness are achieved.