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 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 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 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-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.
Abstract:
A surveillance system and method with at least one wireless input capture device ICD(s) and a corresponding digital input recorder (DIR) and/or another ICD, including the steps of providing the base system; at least one user accessing the DIR via user interface either directly or remotely; the DIR and/or ICD searching for signal from the ICD(s) and establishing communication with them, and the system providing for input capture and data transmission prioritization, thereby providing a secure surveillance system having wireless communication for monitoring a target environment with prioritization capabilities.
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-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.