Method for identifying a moving radiation source

A radiation portal monitoring system for detecting and identifying a moving radiation source, comprising a radiation portal monitor comprising a plurality of radiation detectors configured to detect ionizing radiation of the moving radiation source and to generate a detection signal responsive to detection of the ionizing radiation, and at least one processor configured to:

• provide an identification machine learning model;
• receive labelled static identification training data generated by a plurality of measurements of static radiation sources;
• condition the static identification training data by introducing modifications representing detection signal alterations caused by radiation source movement through the radiation portal monitor to obtain pseudo-dynamic identification training data;
• train the identification machine learning model using the pseudo-dynamic identification training data;
• and
• identify the moving radiation source from the detection signal using the trained identification machine learning model.

A non-transitory computer-readable medium comprising computer program code for identifying a radiation source moving through a radiation portal monitor of a radiation portal monitoring system, the radiation portal monitor comprising a plurality of radiation detectors configured to detect ionizing radiation of the radiation source and to generate a detection signal responsive to detection of the ionizing radiation, the computer program code configured to control at least one processor of the radiation portal monitoring system such that the at least one processor executes the steps of:

• providing an identification machine learning model;
• receiving labelled static identification training data generated by a plurality of measurements of static radiation sources;
• conditioning the static identification training data by introducing modifications representing detection signal alterations caused by radiation source movement through the radiation portal monitor to obtain pseudo-dynamic identification training data;
• training the identification machine learning model using the pseudo-dynamic identification training data;
• and
• identifying the moving radiation source from the detection signal using the trained identification machine learning model.

A method for identifying a moving radiation source by a radiation portal monitoring system, the radiation portal monitoring system comprising a radiation portal monitor comprising a plurality of radiation detectors configured to detect ionizing radiation of the moving radiation source and to generate a detection signal responsive to detection of the ionizing radiation, and at least one processor, the method comprising the at least one processor executing the steps of:

• providing an identification machine learning model;
• and
• identifying the moving radiation source from the detection signal using the identification machine learning model, wherein
• the identification machine learning model is trained using pseudo-dynamic identification training data, wherein
• the pseudo-dynamic identification training data is obtained by introducing to labelled static identification training data modifications representing detection signal alterations caused by radiation source movement through the radiation portal monitor, and wherein
• the labelled static identification training data is generated by radiation detection of a plurality of known static radiation sources.

A computer-implemented method of training an identification machine learning model to obtain a trained identification machine learning model configured to identify a moving radiation source from a detection signal of a radiation portal monitoring system, the radiation portal monitoring system comprising a radiation portal monitor with a plurality of radiation detectors configured to detect ionizing radiation of the moving radiation source and to generate a detection signal responsive to detection of the ionizing radiation, the method comprising at least one processor executing the steps of:

• providing the identification machine learning model;
• receiving labelled static identification training data generated by radiation detection of a plurality of known static radiation sources;
• introducing to the static identification training data modifications representing detection signal alterations caused by radiation source movement through the radiation portal monitor to obtain pseudo-dynamic identification training data;
• training the identification machine learning model using the pseudo-dynamic identification training data;
• and
• storing the trained identification machine learning model.