Abstract: Automated processing, enforcement and intelligent management of vehicle operation violations is disclosed. A method, that is also disclosed, includes obtaining at least one image within which is shown at least a portion of a vehicle. The method also includes receiving image data for the at least one image, and analyzing the image data to generate a violation score for each of one or more potential vehicle operation violations for the vehicle. When the violation score is in-between an upper violation threshold and a lower consideration threshold, user input is obtained that either affirms or rejects existence of a violation and then, once the user input is obtained, a violation notification is generated only when the user input affirms the existence of the violation. When the violation score is higher than the violation threshold, the violation notification is generated without the user input being obtained.

Abstract: A device, system and method for providing indications of a discrepancy between a video and a textual description of an incident. A public-safety computing device determines a discrepancy between a video of an incident and a textual description of the incident, the textual description being a component of a public-safety incident report associated with the incident. The device, in response to determining the discrepancy, controls a notification device to provide an indication of the discrepancy.

Abstract: A method for managing intangible shopping transactions in a physical retail store is provided. The method may include monitoring a customer shopping within a physical retail store to detect occurrence of an intangible transaction. The method may also include determining that the intangible transaction has occurred. The method may further include storing a record of a transaction item associated with the intangible transaction, the record associated with the customer. The method may additionally include determining the customer is attempting to leave the physical retail store while not in possession of the transaction item. The method may also include providing an alert to indicate the customer is attempting to leave the physical retail store while not in possession of the transaction item.

Abstract: A device, system and method for providing indications of a discrepancy between a video and a textual description of an incident. A public-safety computing device determines a discrepancy between a video of an incident and a textual description of the incident, the textual description being a component of a public-safety incident report associated with the incident.

Abstract: An example method and apparatus for processing accidental emergency calls is provided herein. The example method includes monitoring an emergency call with an active learning artificial intelligence (AI) bot implemented by a processor. The example method further includes determining, by the AI bot, that the emergency call was disconnected prior to a call taker resolving the emergency call. The example method additionally includes providing, by the AI bot, a score indicative of the likelihood that the emergency call was an accidental call, wherein the call may be based on real-time and historical data. The example method also includes recommending, by the AI bot, a response to the emergency call based upon the score.

Abstract: Automated processing, enforcement and intelligent management of vehicle operation violations is disclosed. A method, that is also disclosed, includes obtaining at least one image within which is shown at least a portion of a vehicle. The method also includes receiving image data for the at least one image, and analyzing the image data to generate a violation score for each of one or more potential vehicle operation violations for the vehicle. When the violation score is in-between an upper violation threshold and a lower consideration threshold, user input is obtained that either affirms or rejects existence of a violation and then, once the user input is obtained, a violation notification is generated only when the user input affirms the existence of the violation. When the violation score is higher than the violation threshold, the violation notification is generated without the user input being obtained.

Abstract: A device, system and method for modifying workflows based on call profile inconsistencies is provided. A device monitors a call, received from a caller reporting an incident. The device performs one or more sentiment analysis and semantic analysis on one or more of: video of the caller on call; audio of the caller on call; and transcribed text of the audio of the call. The device determines a profile for the call, from a plurality of predetermined profiles stored at a memory accessible to the device, the plurality of predetermined profiles previously generated from historical data. In response to determining an inconsistency between the profile for the call and one or more of the sentiment analysis and the semantic analysis, the device determines a modified workflow for handling the call. The device provides, at a notification device, the modified workflow for handling the call reporting the incident.

Abstract: Techniques for enhancing strategic patrol planning and dispatch decision making based on gone on arrival prediction are provided. In one aspect, a crime prediction map may be retrieved. The crime prediction map may include incident locations and incident times, of predicted incidents occurring within a geographic area. The predictions may be based on historical data, the historical data including data from a computer aided dispatch (CAD) system. For each predicted incident location and incident time, a probability of gone on arrival (GOA) incident disposition may be calculated for a plurality of responder response times. The probability may be calculated based on the historical data from the CAD system.

Abstract: A device, system and method for address validation is provided. A computing device determines an address associated with a call. The computing device determines whether the address has previously been corrected to one or more different addresses using historical address correction data. In response the address having been previously corrected to the one or more different addresses, the computing device controls a notification device to provide a notification.

Abstract: A device, system and method for deploying communication devices based on historic incidents is provided. Predicted incident risks for a given time are determined for regions, based on distance and time differences of historic incidents, relative to the given time and a region over a first time period and a distance from a region, and incident prediction parameters for weighting the differences. From the predicted incident risks, a subset of the regions having highest predicted incident risks is determined, and a prediction efficiency is determined based on a number of the incidents in the subset relative to a total number of the incidents for the regions. The first time period, the distance, and the incident prediction parameters are varied when determining the predicted incident risks and the subset, to maximize the prediction efficiency for the second time period. Commands are generated for deploying communication devices to the subset.

Abstract: Systems and methods of on hold handling of calls are provided. A call may be received, from a caller, at a public safety access point. An Artificial Intelligence (AI) bot may monitor a context associated with the call. The call may be placed on hold. The AI bot may determine, based on the context associated with the call, that the call should be taken off hold.

Abstract: Systems and methods of on hold handling of calls are provided. A call may be received, from a caller, at a public safety access point. An Artificial Intelligence (AI) bot may monitor a context associated with the call. The call may be placed on hold. The AI bot may determine, based on the context associated with the call, that the call should be taken off hold.

Abstract: An example method and apparatus for processing accidental emergency calls is provided herein. The example method includes monitoring an emergency call with an active learning artificial intelligence (AI) bot implemented by a processor. The example method further includes determining, by the AI bot, that the emergency call was disconnected prior to a call taker resolving the emergency call. The example method additionally includes providing, by the AI bot, a score indicative of the likelihood that the emergency call was an accidental call, wherein the call may be based on real-time and historical data. The example method also includes recommending, by the AI bot, a response to the emergency call based upon the score.

Abstract: Method and device for responding to an audio inquiry. The electronic computing device monitors audio communications transmitted between communication devices that are members of a talk group on a talk group channel. The electronic computing device detects an audio inquiry from a first communication device and generates an audio content response to be provided in response to the audio inquiry. The electronic computing device determines based on one or both of the audio inquiry and the audio content response, and as a function of the context information, that the audio content response is to be individually provided to the first communication device. The electronic computing device then establishes a private call with the first communication device and provides the audio content response to the first communication device via the private call.

Abstract: A device, system and method for deploying communication devices based on historic incidents is provided. Predicted incident risks for a given time are determined for regions, based on distance and time differences of historic incidents, relative to the given time and a region over a first time period and a distance from a region, and incident prediction parameters for weighting the differences. From the predicted incident risks, a subset of the regions having highest predicted incident risks is determined, and a prediction efficiency is determined based on a number of the incidents in the subset relative to a total number of the incidents for the regions. The first time period, the distance, and the incident prediction parameters are varied when determining the predicted incident risks and the subset, to maximize the prediction efficiency for the second time period. Commands are generated for deploying communication devices to the subset.

Abstract: Systems and methods of on hold handling of calls are provided. A call may be received, from a caller, at a public safety access point. An Artificial Intelligence (AI) bot may monitor a context associated with the call. The call may be placed on hold. The AI bot may determine, based on the context associated with the call, that the call should be taken off hold.

Abstract: Method and device for responding to an audio inquiry. The electronic computing device monitors audio communications transmitted between communication devices that are members of a talk group on a talk group channel. The electronic computing device detects an audio inquiry from a first communication device and generates an audio content response to be provided in response to the audio inquiry. The electronic computing device determines based on one or both of the audio inquiry and the audio content response, and as a function of the context information, that the audio content response is to be individually provided to the first communication device. The electronic computing device then establishes a private call with the first communication device and provides the audio content response to the first communication device via the private call.

Abstract: A method of determining geographic service areas. The method includes receiving, at an electronic processor, map information corresponding to a geographical area, and receiving, at the electronic processor, incident information corresponding to the geographical area. The method also includes generating, with the electronic processor, a plurality of partition maps of the geographical area based on the map information and the incident information, and displaying the plurality of partition maps as symbols on a chart according to a compactness index and a workload distribution index of each partition map. Each partition map includes one or more partitions, and each partition represents a geographical service area.