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21.发明申请公开(公告)号：US20210090176A1
公开(公告)日：2021-03-25
申请号：US16084993
申请日：2017-09-30
Applicant: Ping An Technology (Shenzhen) Co., Ltd.
Inventor： Jianzong Wang , Chenyu Wang , Jin Ma , Jing Xiao
Abstract: Disclosed are a car damage picture angle correction method, an electronic device, and a readable storage medium. The method includes: after receiving a car damage picture to be classified and identified, identifying a rotation category corresponding to the received car damage picture by using a pre-trained picture rotation category identification model; determining a rotation control parameter corresponding to the identified rotation category according to a pre-determined mapping relation between rotation categories and rotation control parameters, the rotation control parameter including a rotation angle and a rotation direction; and rotating the received car damage picture according to the determined rotation control parameter, so as to generate an angle-normal car damage picture. The disclosure can perform car damage picture angle correction more comprehensively and more effectively with no need to artificially perform angle identification on a car damage picture and to manually rotate the picture, thereby achieving a higher efficiency and accuracy.
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公开(公告)号：US10740927B2
公开(公告)日：2020-08-11
申请号：US16092746
申请日：2018-01-31
Applicant: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
Inventor： Jianzong Wang , Jing Xiao
Abstract: The present application provides a method and device for vehicle identification, the method comprises: obtaining a first vehicle image and a second vehicle image, wherein the first vehicle image comprises a first vehicle, and the second vehicle image comprises a second vehicle; extracting a first color feature and a first vehicle type feature of the first vehicle, and extracting a second color feature and a second vehicle type feature of the second vehicle based on a convolutional neural network model; combining the first color feature and the first vehicle type feature into a first vehicle feature, and combining the second color feature and the second vehicle type feature into a second vehicle feature; calculating a similarity parameter between the first vehicle feature and the second vehicle feature; and determining whether the first vehicle is the same one as the second vehicle according to the similarity parameter.
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23.发明申请公开(公告)号：US20200175397A1
公开(公告)日：2020-06-04
申请号：US16314398
申请日：2017-09-28
Applicant: Ping An Technology (Shenzhen) Co., Ltd.
Inventor： Jianzong Wang , Zhangcheng Huang , Tianbo Wu , Jing Xiao
Abstract: Provided is a method for training a topic classifier: obtaining a training sample and a test sample, wherein the training sample is obtained by manually labeling after a corresponding topic model having been trained based on text data; extracting features of the training sample and of the test sample respectively using a preset algorithm, computing optimal model parameters of a logistic regression model by an iterative algorithm based on the features of the training sample, to train and get a logistic regression model containing the optimal model parameters; and drawing a ROC curve based on the features of the test sample and the logistic regression model containing the optimal model parameters, evaluating the logistic regression model containing the optimal model parameters based on the area AUC under the ROC curve, to train and get a first topic classifier. It further discloses a device and computer-readable storage medium thereof.
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公开(公告)号：US10410292B2
公开(公告)日：2019-09-10
申请号：US15736352
申请日：2017-01-16
Applicant: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
Inventor： Jianzong Wang , Hongjie Li , Jing Xiao
Abstract: The provided method includes: classifying damage assessing images of a same vehicle portion into one same image set; obtaining keypoint features of each image set, diving every two damage assessing images in each image set into one image group, matching multiple relevant keypoints from the damage assessing images in each image group; calculating a feature point transform matrix of each image, and converting one of the two damage assessing images in each image group to a to-be-verified image which has the same shooting angle as the other damage assessing image in the image group; matching feature parameters of the to-be-verified image with those of the other damage assessing image in the same image group; and generating reminder information, when there are unmatched parameters, to remind the user of frauds of the damage assessing images received from the terminal.
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公开(公告)号：US10089553B1
公开(公告)日：2018-10-02
申请号：US15737319
申请日：2017-02-28
Applicant: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
Inventor： Jianzong Wang , Ming Liu , Jing Xiao
Abstract: A method of automatically extracting a validity period of a driving license is disclosed. The method include: extracting candidate contour regions in an image file of a vehicle driving license and selecting from among the candidate contour regions at least one containing an annual inspection validity period; extracting character contours in each selected candidate contour region; acquiring a smallest circumscribed rectangle of each character contour, and dividing the acquired smallest circumscribed rectangles into individual single-character blocks; sorting these single-character blocks according to their positions in the contour region; recognizing a corresponding character of each single-character block; generating a character string representing the annual inspection validity period using the recognized characters based on the sorting; and extracting and taking time data in the character string as the annual inspection validity period of the contour region. A device, system and storage medium to which the method is applicable are also disclosed.
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Patent Agency Ranking
26.发明授权公开(公告)号：US11636695B2
公开(公告)日：2023-04-25
申请号：US17264312
申请日：2019-11-13
Applicant: PING AN TECHNOLOGY(SHENZHEN)CO., LTD.
Inventor： Yiwen Wang , Jianzong Wang
IPC: G06K9/62 , G06K9/00 , G06K9/46 , G06T7/12 , G06T7/194 , G16H30/40 , G16H10/40 , G06V20/69 , G06F18/21 , G06F18/2132 , G06F18/2137 , G06F18/214 , G06F18/23213 , G06V10/762 , G06V10/764 , G06V10/82
Abstract: A method includes: obtaining a plurality of clinical red blood cell images, dividing red blood cells of different shapes at different positions in each of the red blood cell images into a plurality of submasks, and synthesizing the submasks corresponding to each of the red blood cell images to generate one mask to obtain a plurality of masks corresponding to the red blood cell images; collecting shape data of a plurality of red blood cells from the masks to obtain a training data set, calculating a segmentation boundary of each red blood cell in the training data set, and establishing a red blood cell shape data set based on the segmentation boundary of each red blood cell; collecting distribution data of each red blood cell in the red blood cell shape data set; and synthesizing the red blood cell shape data set into a plurality of red blood cell images.
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公开(公告)号：US11544639B2
公开(公告)日：2023-01-03
申请号：US16084565
申请日：2017-06-30
Applicant: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
Inventor： Jianzong Wang , Zhangcheng Huang , Tianbo Wu , Jing Xiao
Abstract: The disclosure relates to a data source-based service customizing device, method and system, and a computer readable storage medium. The data source-based service customizing device includes: a memory, a processor and the data source-based service customizing system stored on the memory and operated on the processor. The data source-based service customizing system is executed by the processor to implement the following steps: acquiring user generated contents in various predetermined data sources; recognizing the user generated contents by using a user group label recognition model generated by pre-training to recognize user group labels corresponding to the various data sources; determining group services corresponding to the various data sources according to a predetermined mapping relation between the user group labels and the group services, and sending the various data sources and the corresponding group services to a predetermined terminal to perform group service customization on the various data sources.
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28.发明授权公开(公告)号：US11322155B2
公开(公告)日：2022-05-03
申请号：US16759384
申请日：2018-07-06
Applicant: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
Inventor： Yuanzhe Cai , Jianzong Wang , Ning Cheng , Jing Xiao
Abstract: A method and apparatus for establishing a voiceprint model, a computer device, and a storage medium are described herein. The method includes: collecting speech acoustic features in a speech signal to form a plurality of cluster structures; calculating an average value and a standard deviation of the plurality of cluster structures and then performing coordinate transformation and activation function calculation to obtain a feature vector; and obtaining a voiceprint model based on the feature vector.
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公开(公告)号：US11074443B2
公开(公告)日：2021-07-27
申请号：US16090198
申请日：2017-08-30
Applicant: Ping An Technology (Shenzhen) Co., Ltd.
Inventor： Jianzong Wang , Chenyu Wang , Jin Ma , Jing Xiao
Abstract: A method, a device, a terminal and a storage medium for acquiring slant value of slant image are provided. The method for acquiring slant value of a slant image comprises: analyzing the slant image and acquiring coordinate information of a plurality of boundary lines of the slant image; acquiring first slant values of the boundary lines by analysing and calculating the coordinate information; acquiring a correction value; calculating difference values between the first slant values and the correction value respectively; determining the first slant value corresponding to the minimum difference value as the slant value of the slant image. The technical solution of the present disclosure can uniquely determine a slant value of slant image.
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30.发明授权公开(公告)号：US11068571B2
公开(公告)日：2021-07-20
申请号：US16084233
申请日：2017-08-31
Applicant: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
Inventor： Jianzong Wang , Hui Guo , Jing Xiao
Abstract: An electronic device for identity verification includes a memory and a processor; the system of identity verification is stored in the memory, and executed by the processor to implement: after receiving current voice data of a target user, carrying out framing processing on the current voice data according to preset framing parameters to obtain multiple voice frames; extracting preset types of acoustic features in all the voice frames by using a predetermined filter, and generating multiple observed feature units corresponding to the current voice data according to the extracted acoustic features; pairwise coupling all the observed feature units with pre-stored observed feature units respectively to obtain multiple groups of coupled observed feature units; inputting the multiple groups of coupled observed feature units into a preset type of identity verification model generated by pre-training to carry out the identity verification on the target user.
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