Huawei Technologies Co., Limited

Cisco Technology, Inc.

Li Kang

Ashutosh Arwind Malegaonkar

Rizhi Chen

Wei Wang

Chenxi Lu

Ying Li

Wael Kamel

Yuanfeng Chen

Haihua Xiao

Siqi Ling

Jicun Fan

Mofei Qian

Mingen Zheng

Haowei Jiang

A light sensor status control method, includes: a processor () determines a display time period and a non-light-emitting time period in a image refresh cycle (); and the processor () controls an optical transmitter of a light sensor (G) to transmit an optical signal when pixels in a display area that is of an OLED display screen () and that corresponds to the light sensor do not emit light in the image refresh cycle, and the processor () controls the optical transmitter not to transmit an optical signal when the pixels in the display area that is of the OLED display screen () and that corresponds to the light sensor (G) emits light (). Therefore, a problem that the screen blinks because the light sensor emits infrared light is alleviated, and a display effect of the screen is improved.

State control method for light sensor and electronic device

A positioning method and apparatus for a mobile terminal, and a mobile terminal. After a first time period elapses, a main processor obtains M pieces of reliable navigation data from N pieces of buffered navigation data of the mobile terminal, and obtains K pieces of buffered position change data of the mobile terminal. The main processor combines the M pieces of reliable navigation data and the K pieces of position change data, to obtain position information of the mobile terminal in the first time period. The N pieces of navigation data are obtained through calculation by using a satellite navigation signal of the mobile terminal that is received during the first time period. The K pieces of position change data are obtained through calculation by using data that is obtained through monitoring by a sensor of the mobile terminal during the first time period.

Positioning method and apparatus for mobile terminal, and mobile terminal

Disclosed are systems, methods, and computer-readable media for a hybrid cloud structure for machine-learning based object recognition. In one aspect, a system includes one or more video-capable access points; and one or more processors configured to receive image data from the one or more video-capable access points; perform, at a first processor of the one or more processors, a first process to detect one or more objects of interest in the image data; generate vector IDs for one or more objects detected in the image data; perform, at a second processor of the one or more processors, a second process to identify the one or more objects in the vector IDs; and generate at least one offline trail for the one or more objects based on statistics associated with the one or more objects identified.

Vector based object recognition in hybrid cloud

In one embodiment, respective user devices may be registered for one or more particular users at a particular physical space, and each of the one or more particular users may be associated with a respective user profile. The system monitors a location of each of the particular users within the particular physical space based on a corresponding location of the respective user device, such that upon receiving a search query for a particular type of user within the particular physical space, and determining one or more resultant users that correspond to the particular type of user based on the associated respective user profiles, the system can determine a location of the one or more resultant users. As such, the system can display, on a graphical user interface (GUI), the location of the one or more resultant users on a virtualized map of the particular physical space.

Locating mobile users

Growing community of inventors

Shanghai, China

Li Kang