Methods and systems for providing supplementary information on a virtual whiteboard

    公开(公告)号:US11032336B2

    公开(公告)日:2021-06-08

    申请号:US16975654

    申请日:2018-03-23

    Abstract: Methods and systems for providing supplementary information on a virtual whiteboard. One system includes an electronic computing device including a display and an electronic processor communicatively coupled to the display. The electronic processor is configured to generate a virtual whiteboard on the display and receive an input via the display. The input illustrates a site of an incident. The electronic processor is further configured to identify the site of the incident. The electronic processor is further configured to generate supplementary information about the site of the incident as a function of context information associated with the incident. The electronic processor is further configured to display, on the virtual whiteboard on the display, the supplementary information.

    Methods and apparatus for detecting malicious re-training of an anomaly detection system

    公开(公告)号:US12013950B2

    公开(公告)日:2024-06-18

    申请号:US17781955

    申请日:2019-12-31

    CPC classification number: G06F21/577 G06F21/552 G06F2221/033

    Abstract: An analysis engine of an anomaly detection system receives an input captured by a monitoring device, determines, based on a currently used anomaly detection model, that the input represents an object or event that should not be classified as an anomaly, and determines, based on a previously used model, that the input was previously classified as an anomaly. In response, the analysis engine determines a respective classification result for the input based on additional models used between the currently and previously used models, determines, based on the respective classification results, that it is likely that the anomaly detection system has been deliberately re-trained to falsely classify the input, and initiates an action to correctly classify the input as representing an object or event that should be classified as an anomaly. The anomaly detection models and classification results may be stored in a training repository for the anomaly detection system.

    Method and system to ensure a submitter of an anonymous tip remains anonymous

    公开(公告)号:US12039271B2

    公开(公告)日:2024-07-16

    申请号:US17272432

    申请日:2018-12-06

    CPC classification number: G06F40/284 G06F16/243

    Abstract: In one aspect, a method to ensure a submitter of an anonymous tip remains anonymous is provided. An anonymous tip may be received from a tip submitter at an electronic tip submission system. Natural language processing may be applied to extract at least one token from the anonymous tip. At least one query may be created based on the extracted at least one token. The at least one query may be executed against one or more databases storing data associated with the at least one token. A number of possible tip submitters may be determined based on the results of the at least one query. Anonymization techniques may be applied to the anonymous tip when the number of possible tip submitters is less than or equal to a defined threshold. The anonymous tip may be submitted when the number of possible tip submitters exceeds the defined threshold.

    Methods and systems for generating time-synchronized audio messages of different content in a talkgroup

    公开(公告)号:US11290862B2

    公开(公告)日:2022-03-29

    申请号:US16954480

    申请日:2017-12-27

    Abstract: Methods and systems for generating time-synchronized audio messages of different content in a talkgroup. One system includes an electronic computing device that includes an electronic processor configured to generate first public safety incident information as a function of context information of a first member of a talkgroup, and second public safety incident information as a function of context information of a second member of the talkgroup. The second public safety incident information is different than the first public safety incident information. The electronic processor is further configured to generate a first audio message including the first public safety incident information sized according to a time window and a second audio message including the second public safety incident information sized according to the time window such that a playback time of the first audio message is approximately the same as a playback time of the second audio message.

    Device, system and method for selecting calls for forwarding to a communication device

    公开(公告)号:US12200170B2

    公开(公告)日:2025-01-14

    申请号:US17634705

    申请日:2019-08-16

    Abstract: A device, system and method for selecting calls for forwarding to a communication device is provided. An automated call-answering device answers a plurality of calls associated with an incident. The device assigns, to the plurality of calls, questions associated with the incident, each of the questions assigned to at least two of the plurality of calls. The device asks the questions on the plurality of calls, as assigned. The device receives answers to the questions. The device selects a call to be forwarded to a communication device operated by a human user, the call selected from a group of the plurality of calls where one or more consistent answers were received in response to a given question, the call further selected based on voice attributes of callers in the group of the plurality of calls. The device forwards, to the communication device, the call as selected.

    Method and device for prompting a user to report a public-safety incident

    公开(公告)号:US12107994B2

    公开(公告)日:2024-10-01

    申请号:US17662850

    申请日:2022-05-11

    CPC classification number: H04M3/5116 G06Q50/265 H04W4/90

    Abstract: A process for prompting a user to report a public-safety incident. In operation, an electronic computing device captures sensor data via one or more sensor devices communicatively coupled to the electronic computing device. The device uses the captured sensor data to detect an occurrence of a potential public-safety incident and further monitors whether a user operating the device has not reported the safety incident to an identified public-safety agency. If the user does not report the incident, then the device identifies a time window as a function of as a function of one or more of user availability, user health and/or mental status, user convenience, user privacy, user safety or severity of the potential public-safety incident, or predefined user input. The device then provides a visual and/or audio prompt for prompting the user to report the incident to the public-safety agency during the identified time window.

    Device and method for validating a public safety agency command issued to a vehicle

    公开(公告)号:US11975739B2

    公开(公告)日:2024-05-07

    申请号:US17287123

    申请日:2018-12-06

    CPC classification number: B60W60/0017 H04W4/40 B60R13/10 B60W2556/45

    Abstract: A process for validating a public safety agency command issued to a vehicle. In operation, a public safety agency controller receives a public safety agency command validation inquiry from a vehicle communication device. The inquiry indicates that the vehicle communication device has detected a public safety agency command issued to the vehicle and includes a first vehicle identifier and a first vehicle location. The controller receives a public safety agency command information including a second vehicle identifier and a second vehicle location from a public safety agency communication device. The validity of the public safety agency command is determined based on comparing the first vehicle identifier with the second vehicle identifier and comparing the first vehicle location with the second vehicle location. The controller then transmits a notification to the vehicle communication device identifying the validity of the public safety agency command.

    METHODS AND APPARATUS FOR DETECTING MALICIOUS RE-TRAINING OF AN ANOMALY DETECTION SYSTEM

    公开(公告)号:US20230004654A1

    公开(公告)日:2023-01-05

    申请号:US17781955

    申请日:2019-12-31

    Abstract: An analysis engine of an anomaly detection system receives an input captured by a monitoring device, determines, based on a currently used anomaly detection model, that the input represents an object or event that should not be classified as an anomaly, and determines, based on a previously used model, that the input was previously classified as an anomaly. In response, the analysis engine determines a respective classification result for the input based on additional models used between the currently and previously used models, determines, based on the respective classification results, that it is likely that the anomaly detection system has been deliberately re-trained to falsely classify the input, and initiates an action to correctly classify the input as representing an object or event that should be classified as an anomaly. The anomaly detection models and classification results may be stored in a training repository for the anomaly detection system.

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