Abstract: In an approach to robot vision configuration, one or more computer processors receive a command for image capture by a robot. The one or more computer processors determine one or more cameras of a plurality of cameras to respond to the command. The one or more computer processors configure the one or more cameras to respond to the command.

Abstract: Aspects of the present invention provide an approach for controlling an operation of a video capture device (e.g., in a cognitive robotic device). In an embodiment, a set of conditions is obtained using a cognitive computer system. Each of the obtained conditions includes a specific individual and a potential action that may be performed by the individual. The cognitive computer system analyzes video being captured by the video capture device to determine whether the video satisfies any of the set of conditions (e.g., the individual in the video is performing the action). If the cognitive computer system determines that one of the set of conditions has been satisfied, the operation of the video capture device (e.g., capture rate of the video) is modified to account for the satisfied condition.

Abstract: Aspects of the present invention provide an approach for controlling an operation of a video capture device (e.g., in a cognitive robotic device). In an embodiment, a set of conditions is obtained using a cognitive computer system. Each of the obtained conditions includes a specific individual and a potential action that may be performed by the individual. The cognitive computer system analyzes video being captured by the video capture device to determine whether the video satisfies any of the set of conditions (e.g., the individual in the video is performing the action). If the cognitive computer system determines that one of the set of conditions has been satisfied, the operation of the video capture device (e.g., capture rate of the video) is modified to account for the satisfied condition.

Abstract: Aspects of the present invention provide an approach for controlling an operation of a video capture device (e.g., in a cognitive robotic device). In an embodiment, a set of conditions is obtained using a cognitive computer system. Each of the obtained conditions includes a specific individual and a potential action that may be performed by the individual. The cognitive computer system analyzes video being captured by the video capture device to determine whether the video satisfies any of the set of conditions (e.g., the individual in the video is performing the action). If the cognitive computer system determines that one of the set of conditions has been satisfied, the operation of the video capture device (e.g., capture rate of the video) is modified to account for the satisfied condition.

Abstract: In an approach to non-functional requirement testing of a robot, a computer determines one or more kinematic actions included in a received command. The computer determines at least one component of the robot included in an operation of the one or more kinematic actions. The computer determines at least one agent associated with the at least one component of the robot included in the one or more kinematic actions. The computer sends the one or more kinematic actions to the robot. In response to the robot performing the one or more kinematic actions, the computer receives, from the at least one agent, at least one characteristic of the performed one or more kinematic actions associated with the at least one component of the robot included in the one or more kinematic actions. The computer, based on the received at least one characteristic, generates one or more test results.

Abstract: Aspects of the present invention provide an approach for controlling an operation of a video capture device (e.g., in a cognitive robotic device). In an embodiment, a set of conditions is obtained using a cognitive computer system. Each of the obtained conditions includes a specific individual and a potential action that may be performed by the individual. The cognitive computer system analyzes video being captured by the video capture device to determine whether the video satisfies any of the set of conditions (e.g., the individual in the video is performing the action). If the cognitive computer system determines that one of the set of conditions has been satisfied, the operation of the video capture device (e.g., capture rate of the video) is modified to account for the satisfied condition.

Abstract: Aspects of the present invention provide an approach for controlling an operation of a video capture device (e.g., in a cognitive robotic device). In an embodiment, a set of conditions is obtained using a cognitive computer system. Each of the obtained conditions includes a specific individual and a potential action that may be performed by the individual. The cognitive computer system analyzes video being captured by the video capture device to determine whether the video satisfies any of the set of conditions (e.g., the individual in the video is performing the action). If the cognitive computer system determines that one of the set of conditions has been satisfied, the operation of the video capture device (e.g., capture rate of the video) is modified to account for the satisfied condition.

Abstract: A system for classifying and tagging digital images includes: a CPU, a computer readable memory, and a computer readable storage medium associated with a computer device; program instructions defining plural pipelines each configured to classify and tag aspects of the image, wherein a first one of the plural pipelines is configured to classify and tag an object in the image, and a second one of the plural pipelines is configured to classify and tag a kinematic aspect of the object in the image; program instructions defining a controller configured to: pass the image to each of the plural pipelines in a predefined order; and output an annotation of the image to a user interface. The program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory.

Abstract: A method for classifying and annotating an image includes: receiving, by a computer device and from a user interface, an input of an image; generating an annotation of the image, by the computer device, by passing the image to plural separate pipelines and tag libraries, wherein the plural separate pipelines and tag libraries include: a pipeline configured to classify and tag objects in the image; and a pipeline configured to tag kinematic aspects of the objects in the image; and outputting, by the computer device, the annotation to the user interface.

Abstract: Aspects of the present invention provide an approach for controlling an operation of a video capture device (e.g., in a cognitive robotic device). In an embodiment, a set of conditions is obtained using a cognitive computer system. Each of the obtained conditions includes a specific individual and a potential action that may be performed by the individual. The cognitive computer system analyzes video being captured by the video capture device to determine whether the video satisfies any of the set of conditions (e.g., the individual in the video is performing the action). If the cognitive computer system determines that one of the set of conditions has been satisfied, the operation of the video capture device (e.g., capture rate of the video) is modified to account for the satisfied condition.

Abstract: In an approach to robot vision configuration, one or more computer processors receive a command for image capture by a robot. The one or more computer processors determine one or more cameras of a plurality of cameras to respond to the command. The one or more computer processors configure the one or more cameras to respond to the command.

Abstract: In an approach to non-functional requirement stimulus testing of a robot, one or more computer processors receive one or more stimulus parameters to test. The one or more computer processors trigger the one or more stimulus parameters in the robot. The one or more computer processors determine at least one response time to the one or more stimulus parameters.

Abstract: In an approach to non-functional requirement testing of a robot, a computer determines one or more kinematic actions included in a received command. The computer determines at least one component of the robot included in an operation of the one or more kinematic actions. The computer determines at least one agent associated with the at least one component of the robot included in the one or more kinematic actions. The computer sends the one or more kinematic actions to the robot. In response to the robot performing the one or more kinematic actions, the computer receives, from the at least one agent, at least one characteristic of the performed one or more kinematic actions associated with the at least one component of the robot included in the one or more kinematic actions. The computer, based on the received at least one characteristic, generates one or more test results.