Cisco Technology, Inc.

Rizhi Chen

Ashutosh Arwind Malegaonkar

Susie J Wee

Yajun Zhang

Wael Kamel

Li Kang

Haihua Xiao

Aikepaer Abuduweili

Siqi Ling

Ming Zhu

Mingen Zheng

Mofei Qian

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

A system, method, and computer-readable storage device configured to display a network topology on a display screen of a computing device. The network topology includes a first group of components in an expanded format and a second group of components in a collapsed format. An input is received that is associated with the second group of components, and is arranged to cause the second group of components to be expanded into the expanded format. Finally, the method includes, based on a parameter and the input, automatically collapsing the first group of components from the expanded format into the collapsed format.

System and method of providing a computer networking tool and interfaces

In one embodiment, a graphical user interface (GUI) is established for an Internet of Things (IoT) integrated developer environment (IDE) with one or more visual developer tools. Real and/or virtual nodes are provided within the IoT IDE having connectivity and functionality, and a plurality are connected as a logical and executable graph for a flow-based programming framework virtualized across one or more IoT layers. The nodes may then be programmed based on respective connectivity and functionality, such that the logical and executable graph has real and/or virtual inputs, real and/or virtual processing functions, and real and/or virtual actions. Upon deploying the node programming to one or more corresponding platform emulators configured to execute the node programming, the logical and executable graph may be simulated by executing the node programming to produce the one or more actions based on the one or more inputs and the one or more processing functions.

Integrated developer environment for internet of things applications

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

Rizhi Chen