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 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 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 analytics for a target surveillance area.

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-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 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 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-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-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 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.