International Business Machines Corporation

David Brian Callies

Freddy Lorge

Ahsan A Asghar

Measuring risk intensity level of a scene captured within media is provided. A score is generated, using a computational scoring model, for each risk type, cause, and evidence taxon element described in a risk taxonomy corresponding to a scene class by matching one or more taxon elements with each attribute of each detected object of a set of detected objects within the scene captured by the media. The media of the scene is tagged with risk type, cause, and evidence scores of each taxon element of the risk taxonomy corresponding to the scene class. A risk intensity level of the scene is calculated based on the risk type, cause, and evidence scores tagged to the media. An action of a set of defined actions is performed based on the risk intensity level of the scene.

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SPRING, TX, United States of America

David Brian Callies