Abstract: Systems, methods, and computer-readable medium containing instructions for responding to a user-initiated query. One method includes logging data received through an input interface of a communication device, receiving the user-initiated query, and determining a context-based response to the user-initiated query based on the logged data stored in the at least one data base and a probability of a user of the communication device receiving the logged data stored in the at least one data base. The method also includes providing the context-based response in reply to the user-initiated query.

Abstract: A system and method for displaying an image of an object of interest located at an incident scene. The method includes receiving, from the image capture device, a first video stream of the incident scene, and displaying the video stream. The method includes receiving an input indicating a pixel location in the video stream, and detecting the object of interest in the video stream based on the pixel location. The method includes determining an object class, an object identifier, and metadata for the object of interest. The metadata includes the object class, an object location, an incident identifier corresponding to the incident scene, and a time stamp. The method includes receiving an annotation input for the object of interest, and associating the annotation input and the metadata with the object identifier. The method includes storing, in a memory, the object of interest, the annotation input, and the metadata.

Abstract: A process for interfacing with an electronic communications device including a single input interface (SII) for accessing an electronic digital assistant and voice control includes detecting a first activation of the SII, and responsively playing back a first audio feedback indicative of activation of a voice input function. Then monitoring for one of two or more pre-configured voice control keywords, a first associated with a local electronic communications device function and a second associated with initiating a particular infrastructure-based electronic digital assistant function. When the first, playing back a second audio feedback indicative of acknowledgement of a local device function, and performing the local device function; when the second, playing back, a third audio feedback indicative of acknowledgement of a infrastructure-based electronic digital assistant function, and performing the infrastructure-based electronic digital assistant function.

Abstract: A system and method for displaying an image of an object of interest located at an incident scene. The method includes receiving, from the image capture device, a first video stream of the incident scene, and displaying the video stream. The method includes receiving an input indicating a pixel location in the video stream, and detecting the object of interest in the video stream based on the pixel location. The method includes determining an object class, an object identifier, and metadata for the object of interest. The metadata includes the object class, an object location, an incident identifier corresponding to the incident scene, and a time stamp. The method includes receiving an annotation input for the object of interest, and associating the annotation input and the metadata with the object identifier. The method includes storing, in a memory, the object of interest, the annotation input, and the metadata.

Abstract: A device, system and method for generating an alert and an automatic search for a candidate subject is provided. The device monitors one or more data sources to identify a candidate subject. The device determines, from rules for rating candidate subjects stored in a memory, a rating of the candidate subject. When the rating meets a first threshold: the device transmits, to one or more communication devices, an alert identifying the candidate subject. When the rating meets a second threshold, lower than the first threshold: the devices provides, a classifier defining the candidate subject to an object recognition engine to cause the object recognition engine to automatically search for the candidate subject, using the classifier, in multimedia data received at one or more edge devices. The multimedia data may include images.

Abstract: A system and method for displaying an image of an object of interest located at an incident scene. The method includes receiving, from the image capture device, a first video stream of the incident scene, and displaying the video stream. The method includes receiving an input indicating a pixel location in the video stream, and detecting the object of interest in the video stream based on the pixel location. The method includes determining an object class, an object identifier, and metadata for the object of interest. The metadata includes the object class, an object location, an incident identifier corresponding to the incident scene, and a time stamp. The method includes receiving an annotation input for the object of interest, and associating the annotation input and the metadata with the object identifier. The method includes storing, in a memory, the object of interest, the annotation input, and the metadata.

Abstract: A process and system for enabling a 360-degree threat detection sensor system that is physically coupled to a vehicle to monitor an area of interest surrounding the vehicle. An electronic computing device selects an area of interest surrounding a vehicle stop location to be monitored by the sensor system. When the sensor system has an obstructed field-of-view of the area of interest, the electronic computing device determines a new vehicle stop location at which the sensor system has an unobstructed field-of-view of the area of interest when the vehicle is to be stopped at the new vehicle stop location. The electronic computing device then transmits an instruction to a target electronic device to provide an electronic indication identifying the new vehicle stop location to a registered occupant of the vehicle, or autonomously control the vehicle to stop at the new vehicle stop location.

Abstract: A process for interfacing with an electronic communications device including a single input interface (SII) for accessing an electronic digital assistant and voice control includes detecting a first activation of the SII, and responsively playing back a first audio feedback indicative of activation of a voice input function. Then monitoring for one of two or more pre-configured voice control keywords, a first associated with a local electronic communications device function and a second associated with initiating a particular infrastructure-based electronic digital assistant function. When the first, playing back a second audio feedback indicative of acknowledgement of a local device function, and performing the local device function; when the second, playing back, a third audio feedback indicative of acknowledgement of a infrastructure-based electronic digital assistant function, and performing the infrastructure-based electronic digital assistant function.

Abstract: A device, system and method for generating an alert and an automatic search for a candidate subject is provided. The device monitors one or more data sources to identify a candidate subject. The device determines, from rules for rating candidate subjects stored in a memory, a rating of the candidate subject. When the rating meets a first threshold: the device transmits, to one or more communication devices, an alert identifying the candidate subject. When the rating meets a second threshold, lower than the first threshold: the devices provides, a classifier defining the candidate subject to an object recognition engine to cause the object recognition engine to automatically search for the candidate subject, using the classifier, in multimedia data received at one or more edge devices. The multimedia data may include images.

Abstract: A device, system and method for generating an alert and an automatic search for a candidate subject is provided. The device monitors one or more data sources to identify a candidate subject. The device determines, from rules for rating candidate subjects stored in a memory, a rating of the candidate subject. When the rating meets a first threshold: the device transmits, to one or more communication devices, an alert identifying the candidate subject. When the rating meets a second threshold, lower than the first threshold: the devices provides, a classifier defining the candidate subject to an object recognition engine to cause the object recognition engine to automatically search for the candidate subject, using the classifier, in multimedia data received at one or more edge devices. The multimedia data may include images.

Abstract: Electronic processing systems and methods for collaborating between vehicular threat detection appliances. One system includes a memory, a transceiver, an electronic processor, and a first vehicular 360-degree threat detection appliance that is physically coupled to a first vehicle. The electronic processor is configured to identify a portion of the first vehicular 360-degree threat detection appliance having an obstructed field-of-view. The electronic processor is also configured to detect a second vehicular 360-degree threat detection appliance that is physically coupled to a second vehicle and has an unobstructed field-of-view of the obstructed field-of-view. The electronic processor is further configured to transmit a request to the second vehicular 360-degree threat detection appliance to provide threat detection coverage for the first vehicle in a direction of the obstructed field-of-view.

Abstract: Systems and methods for intelligent traffic stop classifier loading are provided. A processor may receive a plurality of inputs related to a current context of a law enforcement officer. Based on the plurality of inputs, it may be determined that the current context of the law enforcement officer is a vehicle traffic stop. An image classifier may be loaded onto an image capture device associated with the law enforcement officer based on the vehicle traffic stop determination. An object type associated with the image classifier may be scanned for using the image classifier loaded onto the image capture device.

Abstract: A system and method for modifying a search request corresponding to a person, object, or entity (POE) of interest. The system includes a POE search controller that detects a POE search request, extracts POE of interest metadata including one or more features associated with the POE of interest, generates a POE detection classifier based on the one or more features, identifies types of data capturing devices that are capable of capturing data for detection of the POE of interest, determines data capturing settings based on the POE of interest metadata and respective device type associated with data capturing devices, generates a modified POE search request including the POE detection classifier and respective data capturing settings for each of the one or more types of data capturing devices, and transmits the modified POE search request to one or more communication devices.

Abstract: Electronic processing systems and methods for collaborating between vehicular threat detection appliances. One system includes a memory, a transceiver, an electronic processor, and a first vehicular 360-degree threat detection appliance that is physically coupled to a first vehicle. The electronic processor is configured to identify a portion of the first vehicular 360-degree threat detection appliance having an obstructed field-of-view. The electronic processor is also configured to detect a second vehicular 360-degree threat detection appliance that is physically coupled to a second vehicle and has an unobstructed field-of-view of the obstructed field-of-view. The electronic processor is further configured to transmit a request to the second vehicular 360-degree threat detection appliance to provide threat detection coverage for the first vehicle in a direction of the obstructed field-of-view.

Abstract: System and method for correcting for impulse noise in speech recognition systems. One example system includes a microphone, a speaker, and an electronic processor. The electronic processor is configured to receive an audio signal representing an utterance. The electronic processor is configured to detect, within the utterance, the impulse noise, and, in response, generate an annotated utterance including a timing of the impulse noise. The electronic processor is configured to segment the annotated utterance into silence, voice content, and other content, and, when a length of the other content is greater than or equal to an average word length for the annotated utterance, determine, based on the voice content, an intent portion and an entity portion. The electronic processor is configured to generate a voice prompt based on the timing of the impulse noise and the intent portion and/or the entity portion, and to play the voice prompt.

Abstract: A process and system for enabling a 360-degree threat detection sensor system that is physically coupled to a vehicle to monitor an area of interest surrounding the vehicle. An electronic computing device selects an area of interest surrounding a vehicle stop location to be monitored by the sensor system. When the sensor system has an obstructed field-of-view of the area of interest, the electronic computing device determines a new vehicle stop location at which the sensor system has an unobstructed field-of-view of the area of interest when the vehicle is to be stopped at the new vehicle stop location. The electronic computing device then transmits an instruction to a target electronic device to provide an electronic indication identifying the new vehicle stop location to a registered occupant of the vehicle, or autonomously control the vehicle to stop at the new vehicle stop location.

Abstract: An input audio signal is monitored at an electronic digital assistant of an electronic computing device. The assistant determines that the audio signal includes audio from multiple speaking parties, identifies first and second parties of the multiple parties and roles of the parties, accesses a database of multi-party interaction templates and selects, as a function of the roles of the parties, a particular multi-party interaction template that matches the roles, and then generates, based on a detected content of the audio signal and the particular multi-party interaction template, a database query to retrieve information responsive to or supplemental to content of the audio signal. The assistant then causes the query to be performed results of the query provided to the first party, the second party, a dispatcher or administrator associated with the parties, or a computer-aided-dispatch system associated with the parties.

Abstract: System and method for correcting for impulse noise in speech recognition systems. One example system includes a microphone, a speaker, and an electronic processor. The electronic processor is configured to receive an audio signal representing an utterance. The electronic processor is configured to detect, within the utterance, the impulse noise, and, in response, generate an annotated utterance including a timing of the impulse noise. The electronic processor is configured to segment the annotated utterance into silence, voice content, and other content, and, when a length of the other content is greater than or equal to an average word length for the annotated utterance, determine, based on the voice content, an intent portion and an entity portion. The electronic processor is configured to generate a voice prompt based on the timing of the impulse noise and the intent portion and/or the entity portion, and to play the voice prompt.

Abstract: Systems and methods for intelligent traffic stop classifier loading are provided. A processor may receive a plurality of inputs related to a current context of a law enforcement officer. Based on the plurality of inputs, it may be determined that the current context of the law enforcement officer is a vehicle traffic stop. An image classifier may be loaded onto an image capture device associated with the law enforcement officer based on the vehicle traffic stop determination. An object type associated with the image classifier may be scanned for using the image classifier loaded onto the image capture device.

Abstract: A system and methods for content presentation selection. One method includes displaying, on a display of a portable device, a plurality of tiles. The method includes receiving a first gesture-based input corresponding to a selected tile of the plurality of tiles. The method includes selecting a first application based on the content of the selected tile. The method includes superimposing, on or near a first portion of the selected tile, a first icon corresponding to the first application. The method includes receiving a second gesture-based input selecting the first icon. The method includes retrieving, from the first application, a first application view based on the content. The method includes replacing the selected tile with the first application view.