Abstract: Techniques for predicting a penal code and modifying an annotation based on the prediction are provided. A sentence describing a scene captured with a video capture device may be received form a video description system. The scene may depict a criminal act. An artificial intelligence bot may identify a penal code that has the highest probability of being associated with the criminal act described by the sentence. The sentence may be modified based on a lexicon associated with the identified penal code. Feedback indicating if the identification of the penal code was correct may be received. The feedback may be used to train the artificial intelligence bot.

Abstract: Techniques for audio tagging of an object of interest are provided. An object of interest within a field of view of a first video camera may be identified at a first time. At least one audio tag representing a first sound created by the object of interest may be generated and associated with the object of interest. At a second time later than the first and at a second video camera, a second sound generated by an unidentified object that is not in the field of view of the second video camera may be detected. An audio tag representing the second tag may be generated. It may be determined that the object of interest and the unidentified object of interest are the same when the audio tag representing the first sound and the second sound are the same.

Abstract: A system, method, and apparatus for implementing workflows across multiple differing systems and devices are provided herein. During operation a workflow is automatically generated upon the detection of new signage. In particular, a workflow server will detect the presence of new signage in a particular area. The new signage will be analyzed, and an appropriate trigger and action will be determined based on the new signage. The appropriate trigger and action will then be implemented as a newly-created workflow.

Abstract: Techniques for audio tagging of an object of interest are provided. An object of interest within a field of view of a first video camera may be identified at a first time. At least one audio tag representing a first sound created by the object of interest may be generated and associated with the object of interest. At a second time later than the first and at a second video camera, a second sound generated by an unidentified object that is not in the field of view of the second video camera may be detected. An audio tag representing the second tag may be generated. It may be determined that the object of interest and the unidentified object of interest are the same when the audio tag representing the first sound and the second sound are the same.

Abstract: Techniques for predicting a penal code and modifying an annotation based on the prediction are provided. A sentence describing a scene captured with a video capture device may be received form a video description system. The scene may depict a criminal act. An artificial intelligence bot may identify a penal code that has the highest probability of being associated with the criminal act described by the sentence. The sentence may be modified based on a lexicon associated with the identified penal code. Feedback indicating if the identification of the penal code was correct may be received. The feedback may be used to train the artificial intelligence bot.