Abstract: The present invention extends to methods, systems, and computer program products for integrating healthcare screening with other identity-based functions. In general, components facilitating healthcare screening interoperate with and/or are integrated into other systems, including facility access, identity, time keeping, payroll, etc. Aspects of the invention include using facial recognition to improve healthcare screening and satisfy governmental regulations. A thermal scanner can include a camera and an InfraRed (IR) camera. The thermal scanner can collect a facial image and derive a temperature for a person (e.g., from an IR image). The thermal scanner can also collect or access previously collected healthcare screening questionnaire answers. The collected temperate and healthcare screening questionnaire answers can be used to control access to the facility.

Abstract: The present invention extends to methods, systems, and computer program products for converting an RTSP coordinated stream into an HLS stream. A server participates essentially simultaneously in an RTSP coordinated stream with a content creating electronic device (e.g., a camera) and in an HLS stream with the end-point (e.g., a Web browser). The media server receives a portion of RTSP stream data directly from the content creating electronic device. The media streaming server converts the portion of RTSP stream data into HLS stream data. The media streaming server sends the HLS stream data via the HLS stream to the end-point. The end-point or an end-point user may subsequently request termination of content streaming. In response to an HLS terminate instruction, the streaming media server can coordinate (e.g., concurrent) termination of both the RTSP coordinated stream and the HLS stream.

Abstract: A surveillance system may comprise one or more computing devices and a plurality of robotic surveillance devices. The one or more computing devices may be configured to obtain video data captured by one or more cameras. The one or more computing devices may analyze the video data to identify two or more conditions, and associate results of the identification with respect to the two or more conditions to determine an activity category. The one or more computing device may assign tasks to the plurality of robotic surveillance devices based on the determined activity category. The plurality of robotic surveillance devices may be configured to perform responding actions in response to receiving the tasks.

Abstract: The present invention extends to methods, systems, and computer program products for testing proximity card readers. Aspects include proximity card reader test bed environments configured to test proximity card readers with a plurality of proximity cards while minimizing human involvement. A proximity card reader can be tested to determine a likelihood of the proximity card reader functioning as intended over time and to determine proximity card reader compatibility with different proximity card formats. Proximity card reader failures (e.g., crashes) and incompatibilities can be detected in the testbed environment reducing the likelihood of deploying defective and/or incompatible card readers into operation.

Abstract: An activity recognition system may comprise a local device and a server. The local device may be configured to: obtain a video; determine whether at least one human is present in one or more frames of the video; in response to determining the at least one human present in the video, determine if the at least one human in each of the frames corresponds to the same person; in response to determining that the at least one human in each of the frames corresponds to the same person, determine if the person is a stranger; and in response to determining that the person is not a stranger, transmit at least a portion of the video to the server. The server may be configured to: predict an activity class associated with the person; and trigger an alarm based on the activity class.

Abstract: A surveillance system may comprise one or more computing devices and one or more robotic surveillance devices. The one or more computing devices may be configured to obtain video data captured by one or more cameras. The one or more computing devices may analyze the video data to determine whether there is any trigger event. In response to determining that there is a trigger event, the one or more computing device may determine an optimal robotic surveillance device among the one or more robotic surveillance devices based on the trigger event and provide an instruction to the optimal robotic surveillance device. The optimal robotic surveillance device may be configured to perform a responding action in response to receiving the instruction.

Abstract: A surveillance system may comprise a control device and at least one robotic device. The control device is associated with a user and configured to request to connect to the at least one robotic device and in response to being connected, communicate a characteristic of the user to the at least one robotic device. The at least one robotic device comprises a platform to carry the user, and may be configured to in response to the request of the control device, verify identity of the control device of the user; in response to the identity of the control device of the user being verified, connect to the control device; define parameters of the at least one robotic device based on the characteristic of the user; and adjust the parameters of the at least one robotic device according to a riding pattern of the user.

Abstract: An activity recognition system may comprise a local device and a server. The local device may be configured to: obtain a video; determine whether at least one human is present in one or more frames of the video; in response to determining the at least one human present in the video, determine if the at least one human in each of the frames corresponds to the same person; in response to determining that the at least one human in each of the frames corresponds to the same person, determine if the person is a stranger; and in response to determining that the person is not a stranger, transmit at least a portion of the video to the server. The server may be configured to: predict an activity class associated with the person; and trigger an alarm based on the activity class.

Abstract: A surveillance system may comprise one or more computing devices and one or more robotic surveillance devices. The one or more computing devices may be configured to obtain video data captured by one or more cameras. The one or more computing devices may analyze the video data to determine whether there is any trigger event. In response to determining that there is a trigger event, the one or more computing device may determine an optimal robotic surveillance device among the one or more robotic surveillance devices based on the trigger event and provide an instruction to the optimal robotic surveillance device. The optimal robotic surveillance device may be configured to perform a responding action in response to receiving the instruction.

Abstract: A surveillance method may comprise obtaining one or more alert levels, and for each of the alert levels, obtaining a user configuration of an action for responding to the alert level, training a model with marked training materials for detecting the alert level of a triggering event from a camera input, obtaining a user configuration of a time for executing the action, and obtaining a user configuration of a system for executing the action.