Boe Technology Group Co., Ltd.

Ricoh Company, Ltd.

Petrochina Company Limited

Tsinghua University

Disney Enterprises, Inc.

Beijing Boe Technology Development Co., Ltd.

Xiaomi Inc.

Beijing University of Technology

Boe Technology Groupco., Ltd.

Sichuan Kelite Oil and Gas Technology Co. Ltd

Bgrimm Technology Group

Beijing Jioatong University

Bgrimm Advanced Materials Science & Technology Co., Ltd.

Tong Liu

Xiaojun Tang

Xiangyang Liu

Zhiguo Zhang

Yue Li

Zhongchao Shi

Gang Wang

Libo Wang

Jingtao Xu

Yifei Zhang

Huanhuan Zhang

Hui Rao

Xianming Xu

Yulong Wang

Xiuhui Wang

Hongling Chu

Yali Wang

Yan Jiang

Yuan Liu

Hao Fang

Han Gao

Sihan Wang

Wei Wang

Hui Li

Xin Wang

Wei Sun

Li Wang

Hao Chen

Hua Zhou

Tao Li

Yi Chen

Guang Yang

Kai Zhao

Bo Xu

Rui Guo

Shuai Wang

Cheng Du

Chao Wu

Bingchuan Shi

Ning Zhang

Hui Huang

Hongpeng Li

Ganmei You

Jianming Liu

Yaojie Lu

Yuanyuan Cao

Cheng Zhong

Fuling Huang

Buwei Yu

Enhao Sun

Hongliang Huo

Kecun Ma

Haijun Su

Tao Tang

Dan Guo

Guizhi Wang

Xun Yuan

Dianchao Liu

Bin Ning

Li Rong

Zhenyu Yang

Xuemei Han

Fusen Xiao

Bo Kong

Chen Hu Wu

Hongmei Li

Weihong Guan

Huaiqi Shao

Fengrong Wang

Yunguang Han

Xuefeng Yang

Moran Wang

Wenhai Lei

Xun Ma

Jian Fei Ouyang

Mei Shan Zhou

Ju-Hsin Chao

Legang Feng

Hsin Yi Yueh

Brian Dai

Jing Xun

Tianzhi Wang

Bolong Li

Ruhai Lin

Xiaoliang Lu

Yueguang Yu

Yinghui Cai

Lingfeng Huang

Chune Lan

Zhao Ding

Dihong Zhang

Daqing Tang

Jingyuan Chen

Ying Wan

Banghua Xie

Zhijin Pu

The present disclosure discloses a catalyst composition for polymerization of an α-olefin and preparation and use thereof. The catalyst composition comprises boron trifluoride and at least one protic cocatalyst; the protic cocatalyst has a structural formula of X—(CH)—OH, where n is an integer selected from 1 to 10; X is selected from nitro, halogen, cyano, sulfonic acid group, aldehyde group, acyl, carboxyl and amino. The catalyst can be used in production of a poly(α-olefin) synthetic base oil, and is particularly suitable for a low viscosity poly(α-olefin) synthetic base oil with high selectivity of the target product.

Catalyst composition for polymerization of α-olefin and preparation and use thereof

The present disclosure relates to a method and apparatus for determining a status of a position on a shelf, a shelf and a non-transitory computer-readable storage medium. The method includes: acquiring current detection data of the shelf in a current detection period; determining first status information of respective positions from the current detection data, in response to determining that the current detection data satisfies a preset condition; in response to the current detection data indicating that a target position whose first status information indicates the first status exists, acquiring first status information of the target position from previous detection data in a previous detection period; and determining second status information of the target position based on the first status information of the target position in the current detection data and the previous detection data respectively, the second status information indicating a third status that an object is put back.

Methods and apparatuses for determining statuses of positions on shelves, shelves and non-transitory computer-readable storage media

The present application provides a region management and control method, device, apparatus and storage medium. The region management and control method includes: obtaining a current image in a video image and a target region graphic included in the current image; determining whether a person graphic in the current image and the target region graphic meet a predetermined condition; and sending alarm information in response to the person graphic in the current image and the target region graphic meeting the predetermined condition. The predetermined condition includes at least one of: a space condition, a person identity condition, a time condition, a person protection condition, a person number condition or a person body temperature condition.

Region management and control method, device, apparatus and storage medium

A titanium alloy blade tip with a wear-resistant protective coating and a preparation method thereof are provided. The method includes: (1) spraying MCrAlY alloy powder on a surface of a titanium alloy blade tip by high velocity oxygen fuel (HVOF) spraying at a spraying distance of 300-400 mm to obtain the titanium alloy blade tip with a MCrAlY layer on the surface; where M is one of Ni and NiCo; (2) pre-plating Ni at a current density of 4-10 A/dm; (3) placing the pre-plated titanium alloy blade tip in a Watt solution, covering a surface of the pre-plated titanium alloy blade tip obtained in the step (2) with abrasive particles, and then performing composite electroplating at a current density of 0.5-2 A/dm. In the method, the wear-resistant protective coating with the high adhesion strength is prepared on the titanium alloy blade tip, and the wear-resistant protective coating has good wear resistance.

Titanium alloy blade tip with high adhesion strength and wear-resistant protective coating and preparation method thereof

The monitoring device of the disclosure includes a carrying unit having at least one carrying area for carrying a monitored object, at least part of the carrying area is provided with a corresponding image capturing unit and a corresponding optical path adjusting unit; the image capturing unit captures a monitoring image of the carrying area, each image capturing unit has a preset field of view, each image capturing unit forms the monitoring image according to light incident from the field of view; at least part of the carrying area is an extension area, the extension area is positioned outside the field of view of the image capturing unit; the optical path adjusting unit enables the light emitted from the extension area of the carrying area corresponding thereto to enter the image capturing unit from the field of view of the image capturing unit corresponding to the carrying area.

Monitoring device and monitoring method

A parking detection method, a system, a processing device and a storage medium are provided. The parking detection method includes: acquiring an image to be detected; acquiring a projection area of a vehicle on the ground according to vanishing points and a vanishing line in the image to be detected in combination with outline key points of the vehicle in the image to be detected; judging whether the vehicle is parked regularly.

Parking detection method, system, processing device and storage medium

Disclosed are a product inspection method and device, producing system and a computer storage medium. The method comprises: conducting image acquisition on a product assembly line to obtain a production line image; extracting a product image including a product to be inspected from the production line image; extracting an inspection point image in a part inspection area in the product image; inputting the inspection point image into an inspection model to obtain an inspection result; and determining that the product to be inspected in the product image has defects under the condition that the inspection result meets any of the following conditions.

Product inspection method and device, producing system and computer storage medium

Embodiments of the present disclosure provide a method of matching image, an apparatus of matching image, a device, and a computer-readable storage medium. The method includes: acquiring an image to be matched; determining a key point feature similarity between any image in an image library and the image to be matched, and determining a color feature similarity between the any image and the image to be matched; determining a fusion similarity between the any image and the image to be matched according to the key point feature similarity and the color feature similarity; and determining whether an image matching the image to be matched exists in the image library or not according to the fusion similarity between each of at least one image in the image library and the image to be matched.

Method of matching image and apparatus thereof, device, medium and program product

The present application relates to a shelf interaction method and a shelf. The shelf is provided with at least one image capturing device. The method includes: capturing an image of the shelf through the at least one image capturing device; in response to detecting that a first position on the shelf is changed from presence of a first item of goods to absence of the first item of goods according to the image, identifying a first category of the taken-away first item of goods; in response to that a second goods category associated with the first position is the same as or different from the first category of the taken-away first item of goods, sending first prompt information to indicate that the first item of goods is taken away.

Shelf interaction methods and shelves

The present disclosure provides a method of determining a status of a position on a shelf, a shelf and a non-transitory computer-readable storage medium. The method includes: acquiring current detection data of the shelf in a current detection period; determining first status information of respective positions from the current detection data, in response to determining that the current detection data satisfies a preset condition; in response to the current detection data indicating that a target position whose first status information indicates the second status exists, acquiring first status information of the target position from previous detection data in a previous detection period; and determining second status information of the target position based on the first status information of the target position in the current detection data and the previous detection data respectively.

Methods of determining status of position in shelf, shelves and non-transitory computer-readable storage media

The present disclosure provides a UAV operation route planning method, a UAV pesticide spreading planning method and device for providing improvements on the operation accuracy of UAV. The UAV operation route method comprises steps of: obtaining a plurality of sub-areas of an operation area of a UAV; exhausting operation orders of the sub-areas and waypoint sequences in each of the sub-areas, respectively; planning routes according to the operation orders of the sub-areas and the waypoint sequences in each of the sub-areas to obtain all routes in the operation area; and determining a route in all the routes having a total voyage meeting a preset constraint condition as an optimal operation route.

UAV operation route planning method, UAV pesticide spreading method and device

The present disclosure provides an image processing method, device and apparatus, and a computer-readable storage medium. The image processing method includes: obtaining an image and detecting multiple targets in the image; obtaining categories of multiple detected targets and first parameters of a detection frame corresponding to each detected target, and ranking all detected targets according to the first parameters in a descending order to obtain a dataset; obtaining a target with a highest first parameter in the dataset as a first detected target, and detecting whether the first parameter of a first detection frame corresponding to the first detected target satisfies a preset category condition of a category to which the first detected target belongs; detecting whether the first detection frame corresponding to the first detected target overlaps with a detection frame corresponding to a respective one of the plurality of detected targets except the first detected target.

Image processing method, device and apparatus for multi-object detection

A commodity detection terminal is disclosed, the commodity detection terminal includes: an image segmentation unit configured to obtain position information of each grid of a goods shelf in an image of the goods shelf based on a first image, which is an image of the goods shelf not placed with commodities; a detector unit configured to obtain a current grid where each commodity is located and a current quantity of each commodity based on a second image, which is a current image of the goods shelf placed with commodities; and a determination unit configured to compare the current grid and the current quantity with a preset grid and a preset quantity of the each commodity, so as to determine whether a status of each commodity satisfies a preset condition. A commodity detection method, an intelligent goods shelf system, a computer device, and a readable medium are also disclosed.

Commodity detection terminal, commodity detection method, system, computer device, and computer readable medium

The present disclosure discloses an indoor positioning method, an indoor positioning system, an indoor positioning apparatus and a computer readable medium. The indoor positioning method includes: determining an initial position of a target object using combination of wireless positioning and visual feature map matching positioning; and according to the initial position of the target object, performing real-time positioning on the target object using combination of short-time interframe feature matching positioning and the visual feature map matching positioning.

Indoor positioning method, indoor positioning system, indoor positioning apparatus and computer readable medium

The embodiments of the present disclosure disclose a method and apparatus for extracting an edge of an object in a depth image, a storage medium, and a computer device, to provide a solution which is simple to implement and accurate in edge extraction. The method for extracting an edge of an object in a depth image includes: calculating at least two sets of edge pixels of a first depth image using at least two edge detection algorithms; and acquiring a final set of edge pixels by combining the at least two sets of edge pixels. The solution according to the embodiments of the present disclosure is simple to implement, and may obtain a more accurate set of edge pixels, thereby obtaining an accurate pixel-level segmentation result.

Method and apparatus for extracting edge of object in depth image and computer readable storage medium

Growing community of inventors

Beijing, China

Tong Liu