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 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: A method and apparatus for acquiring an image is provided herein. During operation a determination is made that a user is intending to tag an object through pointing a finger at the object. In response, a pre-buffer is accessed, and an image of the object is selected from the pre-buffer that is absent the user's hand. Once the image has been selected, the image can be forwarded to other users.

Abstract: Method and device for providing safe zone information. The method includes receiving a map of an incident area sensor information from at least one sensor at the incident area. The method also includes determining a multi-dimensional model of the incident area based on the map of the incident area and the sensor information and determining a first threat location based on the sensor information, the map of the incident area, and the multi-dimensional model of the incident area. The method further includes determining a plurality of safe zone shadow areas based on the first threat location. The method also includes updating the multi-dimensional model of the incident area to include the plurality of safe zone shadow areas and to generate a safe zone shadow representation of the incident area and transmitting the safe zone shadow representation to at least one user device in the incident area.

Abstract: Method and device for providing safe zone information. The method includes receiving a map of an incident area sensor information from at least one sensor at the incident area. The method also includes determining a multi-dimensional model of the incident area based on the map of the incident area and the sensor information and determining a first threat location based on the sensor information, the map of the incident area, and the multi-dimensional model of the incident area. The method further includes determining a plurality of safe zone shadow areas based on the first threat location. The method also includes updating the multi-dimensional model of the incident area to include the plurality of safe zone shadow areas and to generate a safe zone shadow representation of the incident area and transmitting the safe zone shadow representation to at least one user device in the incident area.