A system identifying a source of radiation is provided. The system includes a radiation source detector and a radiation source identifier. The radiation source detector receives measurements of radiation; for one or more sources, generates a detection metric indicating whether that source is present in the measurements; and evaluates the detection metrics to detect whether a source is present in the measurements. When the presence of a source in the measurements is detected, the radiation source identifier for one or more sources, generates an identification metric indicating whether that source is present in the measurements; generates a null-hypothesis metric indicating whether no source is present in the measurements; evaluates the one or more identification metrics and the null-hypothesis metric to identify the source, if any, that is present in the measurements.

A compositional visualization system comprises a sensor to collect contextual information, a particle generator to generate a first stream of one or more types of particles, and a detector to receive a second stream of one or more detectable products. The second stream is generated by interaction of the first stream with the environment. The system further comprises computer-executable instructions to cause the system to transform the received second stream into compositional data, and merge the compositional data with the contextual information to generate a merged digital representation. The merged digital representation can be displayed at one or more devices and can also be used directly to drive autonomous robotic systems.

A system accesses a first video stream from an internal scanning device (e.g., an X-ray scanner) that scans objects or individuals. It also accesses a second video stream from a capturing device that records a human operator reviewing and interacting with the first stream on a display to identify targeted subject matter. The system then identifies the targeted subject matter based on the operator's interactions and constructs a training dataset based on the identified targeted subject matter. Using this training dataset, the system trains a machine-learning model to identify the targeted subject matter in future video streams from scanning devices.

A system accesses a first video stream from an internal scanning device (e.g., an X-ray scanner) that scans objects or individuals. It also accesses a second video stream from a capturing device that records a human operator reviewing and interacting with the first stream on a display to identify targeted subject matter. The system then identifies the targeted subject matter based on the operator's interactions and constructs a training dataset based on the identified targeted subject matter. Using this training dataset, the system trains a machine-learning model to identify the targeted subject matter in future video streams from scanning devices.

A system identifying a source of radiation is provided. The system includes a radiation source detector and a radiation source identifier. The radiation source detector receives measurements of radiation; for one or more sources, generates a detection metric indicating whether that source is present in the measurements; and evaluates the detection metrics to detect whether a source is present in the measurements. When the presence of a source in the measurements is detected, the radiation source identifier for one or more sources, generates an identification metric indicating whether that source is present in the measurements; generates a null-hypothesis metric indicating whether no source is present in the measurements; evaluates the one or more identification metrics and the null-hypothesis metric to identify the source, if any, that is present in the measurements.

A system identifying a source of radiation is provided. The system includes a radiation source detector and a radiation source identifier. The radiation source detector receives measurements of radiation; for one or more sources, generates a detection metric indicating whether that source is present in the measurements; and evaluates the detection metrics to detect whether a source is present in the measurements. When the presence of a source in the measurements is detected, the radiation source identifier for one or more sources, generates an identification metric indicating whether that source is present in the measurements; generates a null-hypothesis metric indicating whether no source is present in the measurements; evaluates the one or more identification metrics and the null-hypothesis metric to identify the source, if any, that is present in the measurements.