Abstract: Computer vision is applied to images of food objects, allowing tracking of sub-objects separated there-from during processing and relating back outcomes observed to original locations within the food object. A method includes: obtaining an image of an object having a pattern; thereafter identifying sub-objects; determining an object location of respective sub-objects relative to the object based on the pattern; and providing an indicator, for the respective sub-objects, associated with the food processing and based on the object location of the respective sub-objects. The indicator may be a highlighted location of the sub-object within a three-dimensional (3D) model, a tracked or predicted outcome or classification, or an adjustment to a food processing step or equipment configuration.

Abstract: A self-propelled device is disclosed to recognize objects, possess objects, and transport objects to a new location. A method is disclosed to use the device to transport objects in environments dangerous to humans. Other example embodiments are described and claimed.

Abstract: An embodiment provides unmanned aerial vehicles (UAVs) for infrastructure surveillance and monitoring. One example includes monitoring power grid components such as high voltage power lines. The UAVs may coordinate, for example using swarm behavior, and be controlled via a platform system. Other embodiments are described and claimed.

Abstract: An embodiment provides unmanned aerial vehicles (UAVs) for infrastructure surveillance and monitoring. One example includes monitoring power grid components such as high voltage power lines. The UAVs may coordinate, for example using swarm behavior, and be controlled via a platform system. Other embodiments are described and claimed.

Abstract: A self-propelled device is disclosed to recognize objects, possess objects, and transport objects to a new location. A method is disclosed to use the device to transport objects in environments dangerous to humans. Other example embodiments are described and claimed.

Abstract: An embodiment provides a method including obtaining, using a camera system, imagery of one or more individuals in an environment; analyzing, using a processor, the individual data using a trained model to identify individuals and recognize gestures that are indicative of sickness behavior; presenting, using a display device, information about individuals that have displayed sickness behavior above a calculated threshold.

Abstract: A self-propelled device is disclosed to recognize objects, possess objects, and transport objects to a new location. A method is disclosed to use the device to transport objects in environments dangerous to humans. Other example embodiments are described and claimed.

Abstract: An example provides a method, including: obtaining, using one or more sensor systems, sensor data for one or more persons in an environment comprising machinery; analyzing, using a processor, the sensor data using a trained model to identify the one or more persons and an associated time series of actions; determining, using the associated time series of actions, if the one or more persons are engaging in behavior indicative of an unsafe practice; and thereafter presenting safety information to a visual display system, connected software system or other decision support tool.

Abstract: An embodiment provides a method including obtaining, using a camera system, imagery of one or more individuals in an environment; analyzing, using a processor, the individual data using a trained model to identify individuals and recognize gestures that are indicative of sickness behavior; presenting, using a display device, information about individuals that have displayed sickness behavior above a calculated threshold.

Abstract: An embodiment provides unmanned aerial vehicles (UAVs) for infrastructure surveillance and monitoring. One example includes monitoring power grid components such as high voltage power lines. The UAVs may coordinate, for example using swarm behavior, and be controlled via a platform system. Other embodiments are described and claimed.

Abstract: A self-propelled device is disclosed to recognize objects, possess objects, and transport objects to a new location. A method is disclosed to use the device to transport objects in environments dangerous to humans. Other example embodiments are described and claimed.