Abstract: Systems and methods for cloud-based surveillance for a target surveillance area are disclosed. At least two input capture devices and at least one user device are communicatively connected to a cloud-based analytics platform. At least one input capture device is a mobile device with visual sensors. The cloud-based analytics platform automatically analyzes received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area.

Abstract: Systems and methods for cloud-based surveillance for a target surveillance area are disclosed. At least two input capture devices and at least one user device are communicatively connected to a cloud-based analytics platform. At least one input capture device is a mobile device with visual sensors. The cloud-based analytics platform automatically analyzes received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area.

Abstract: Systems and methods for cloud-based surveillance for an operation area are disclosed. At least two input capture devices, at least one safety control device and at least one user device are communicatively connected to a cloud-based analytics platform. The cloud-based analytics platform automatically generates 3-Dimensional (3D) surveillance data based on received 2-Dimensional (2D) video and/or image inputs and perform advanced analytics and activates the at least one safety control device based on analytics data from advanced analytics.

Abstract: Systems and methods for cloud-based surveillance in a retail store is disclosed. At least two input capture devices and at least one user device are communicatively connected to a cloud-based analytics platform. The cloud-based analytics platform generates 3-Dimensional (3D) visual representation based on received 2-Dimensional (2D) video and/or image inputs, perform advanced analytics based on input data and generated 3D visual representation, and generates a graphical representation based on analytics data from advanced analytics. In one embodiment, the graphical representation is a heat map, which is an overlay of the 3D visual representation of the entire retail store.

Abstract: Systems and methods for cloud-computing network with distributed input devices and a cloud-based analytics platform for automatically analyzing received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area.

Abstract: Systems and methods for cloud-computing network with distributed input devices and a cloud-based analytics platform for automatically analyzing received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D analytics for a target surveillance area.

Abstract: Systems and methods for cloud-based surveillance in a retail store is disclosed. At least two input capture devices and at least one user device are communicatively connected to a cloud-based analytics platform. The cloud-based analytics platform generates 3-Dimensional (3D) visual representation based on received 2-Dimensional (2D) video and/or image inputs, perform advanced analytics based on input data and generated 3D visual representation, and generates a graphical representation based on analytics data from advanced analytics. In one embodiment, the graphical representation is a heat map, which is an overlay of the 3D visual representation of the entire retail store.

Abstract: Systems and methods for cloud-computing network with distributed input devices and a cloud-based analytics platform for automatically analyzing received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D analytics for a target surveillance area.

Abstract: Systems and methods for cloud-computing network with distributed input devices and a cloud-based analytics platform for automatically analyzing received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area.

Abstract: Systems and methods for cloud-based surveillance for a target surveillance area are disclosed. At least two mobile input capture devices (ICDs) are communicatively connected to a cloud-based analytics platform via a data communication device. At least one user device can access to the cloud-based analytics platform. The cloud-based analytics platform automatically analyzes received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area. In one embodiment, the at least two mobile ICDs are Unmanned Aerial Vehicles (UAVs).

Abstract: Systems and methods for cloud-based surveillance for an operation area are disclosed. At least two input capture devices, at least one safety control device and at least one user device are communicatively connected to a cloud-based analytics platform. The cloud-based analytics platform automatically generates 3-Dimensional (3D) surveillance data based on received 2-Dimensional (2D) video and/or image inputs and perform advanced analytics and activates the at least one safety control device based on analytics data from advanced analytics.

Abstract: Systems and methods for cloud-based surveillance are disclosed. At least one mobile Input Capture Device (ICD) and the at least one computing device are communicatively connected to the cloud-based analytics platform. The at least one mobile ICD captures and transmits input data to the cloud-based analytics platform. The cloud-based analytics platform processes and analyzes input data from the at least one mobile ICD; and generates commands and updates to the at least one mobile ICD based on the processing and analyzing of the input data. Authorized users are operable to access to the cloud-based analytics platform via a user interface over the at least one computing device.

Abstract: Systems and methods for cloud-computing network with distributed input devices and a cloud-based analytics platform for automatically analyzing received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area.

Abstract: Systems and methods for cloud-based surveillance for a target surveillance area are disclosed. At least two mobile input capture devices (ICDs) are communicatively connected to a cloud-based analytics platform via a data communication device. At least one user device can access to the cloud-based analytics platform. The cloud-based analytics platform automatically analyzes received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area. In one embodiment, the at least two mobile ICDs are Unmanned Aerial Vehicles (UAVs).

Abstract: Systems and methods for cloud-based surveillance for a target surveillance area are disclosed. The cloud-based surveillance system comprises at least one ICD, a cloud-based analytics platform having a processor and a memory, and a local computing device having a display with a user interface. The cloud-based analytics platform is constructed and configured in network-based communication with the at least one ICD and the local computing device. Each of the at least one ICD has at least one visual sensor and is operable to capture and transmit input data to the cloud-based analytics platform. The cloud-based analytics platform is operable to provide advanced analytics based on the input data captured from the at least one ICD. The local computing device is operable to manage the at least one ICD for the target surveillance area over the cloud-based analytics platform.

Abstract: Systems and methods for managing local data for input capture devices (ICDs) over communication network are disclosed. At least one ICD and at least one user device are connected to a cloud-based analytics platform communicatively over a network. The at least one ICD has at least one visual sensor and built-in storage that captures and stores visual data at the built-in storage. The cloud-based analytics platform accesses to the visual data stored at the built-in storage and performs analytics for the captured visual data and generates analytics data. An authorized user is able to view live visual data and manage stored visual data at the at least one ICD via the at least one user device.

Abstract: Systems and methods for setting up a cloud-based video surveillance system with at least one computing device and at least one video camera in a local area network. The at least one computing device has an application program installed and is operable to find out the at least one video camera on the same local area network and connect the at least one video camera to a cloud platform. The video surveillance system is accessible via the at least one computing device locally or other computing device remotely. The video surveillance system is still at work when the at least one computing device is powered off.

Abstract: Systems and methods for cloud-computing network with distributed input devices and a cloud-based analytics platform for automatically analyzing received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area.

Abstract: Systems and methods for setting up a cloud-based video surveillance system with at least one computing device and at least one video camera in a local area network. The at least one computing device has an application program installed and is operable to find out the at least one video camera on the same local area network and connect the at least one video camera to a cloud platform. The video surveillance system is accessible via the at least one computing device locally or other computing device remotely. The video surveillance system is still at work when the at least one computing device is powered off.

Abstract: Systems and methods for cloud-based social surveillance are disclosed. At least one mobile robot patrol a certain surveillance area and capture data content through various function modules. A computing device coupled with each robot collects and sends the data to a cloud-based analytics platform via network for surveillance real-time or near-real-time analysis. A cloud-based analytics platform is comprised of at least one cloud server, at least one cloud database, communication network, and user interface. Authorized users access the information related to their corresponding predetermined surveillance environment inputs and/or analytics of the inputs within the system via a user interface and/or override commands or updates generated based on the analysis.