57 results about "Incident report" patented technology

A computer-implemented method executed using one or more processors of an incident management system, the computer-implemented method comprising accessing one or more data sets of information associated with an incident event corresponding to an incident associated with a computer system; generating a prompt based on the one or more data sets of information, wherein generating the prompt comprises generating a plurality of sub-prompts to be provided to a machine-learning model for generating a report of the incident event in accordance with a predetermined criteria; inputting the prompt into a machine-learning model that has been trained to generate a report of the incident event based on the prompt; outputting, by the machine-learning model, the report of the incident event, wherein the report comprises an analysis of the incident event; transmitting the report to one or more computing devices associated with the computer system.

A method for dynamically improving monitoring miss resolution comprises obtaining an incident report describing a monitoring miss, wherein the monitoring miss is associated with an outage in the communication system that has not yet been resolved, adding, by the incident reporting application, a flag to the incident report, wherein the flag indicates that the incident report is associated with one or more monitoring misses in the communication system that have not yet been resolved, extracting identification data identifying the outage in the communication system from the incident report, wherein the identification data comprises an identification of one or more network elements (NEs) at which the outage has occurred, and obtaining, based on the identification data, incident data describing a context of the outage in the communication system to identify a cause of the monitoring miss.

A system and method for reducing data record processing in incident report generation is provided. The method includes: accessing a plurality of event records, each event record generated based on an event in a computing environment; parsing each event record based on a predetermined data field; extracting from each predetermined data field a data value; correlating a group of event records of the plurality of event records based on at least an extracted data value; generating an incident data record based on the extracted data values of the correlated group of event records; generating a prompt based on the incident data record; and generating an incident report by configuring a large language model (LLM) to execute the generated prompt.

Systems and methods for generating certified images and incident reports are disclosed. An image capture device can be used to capture an image and integrate metadata from camera sensors as well as other ancillary device sensors into the image. The image and its metadata can then be certified upon a check that the image and its metadata are authentic and unaltered. The image and its metadata can then be included in or as a part of an incident or other report describing an incident or event such as an accident or a crime. The image and / or incident report may be maintained at a cloud-based server for viewing, authorized editing, and subsequent distribution.

Disclosed are a method, system, and apparatus of a body-worn camera system with integrated artificial intelligence for real-time field assistance and automated incident reporting. In one embodiment, a body-worn safety device includes a body-worn camera configured to capture a video of an incident from a perspective of a wearer of the body-worn camera. In this embodiment, a microphone is configured to capture audio concurrently with the video. A processing unit includes an artificial intelligence module in this embodiment. The artificial intelligence module is configured to respond to a voice command from the wearer by analyzing the captured audio, the captured video, and / or an external data of the artificial intelligence module. In another embodiment, a method of a wearable safety system provides an audible answer and a guidance in real-time using the natural language queries; and outputting an audio response and an alert to the wearer.

A method of initiating actions based on analyzing automated fix actions in a telecommunication network management system, the method comprising obtaining, by an incident management application executing on a computer system, prior incident reports associated with a plurality of historical incidents from a database, wherein the prior incident reports comprise one or more recommended corrective actions taken or to be taken to resolve the historical incidents; evaluating, by the incident management application, the prior incident reports to determine a severity level of the prior incident reports and / or an effectiveness value of the one or more recommended corrective actions; prioritizing actions to be taken automatically or by NOC personnel based on the severity level and / or the effectiveness value; and initiating a corrective action to be taken automatically or by the NOC personnel to resolve an active incident report based on the prioritization.

Systems, methods, and computer-readable storage media for using distinct Artificial Intelligence algorithms to review incident reports and identify, within a corpus of training courses, which courses would be best for mitigating or preventing future incidents. A system can receive an incident record involving an individual human being involved in an incident, then analyze that incident record by executing a first Artificial Intelligence (AI) algorithm, resulting in a natural language incident summary. The system can then generate, by executing a second AI algorithm using the natural language incident summary, corrective training recommendations for the individual human being, the corrective training recommendations predicted to perform at least one of mitigating or preventing the incident from occurring again, and provide those corrective training recommendations to an authority over the individual human being.

Methods and systems for incident reporting from secured devices are provided. A method includes detecting an incident on a secured IoT device that disrupts normal operations by the secured IoT device. A preconfigured set of incident data relevant to the incident are collected from the secured IoT device and encrypted based on a preselected cryptosystem. An encoded incident report is generated by combining a URL to a technical support server and the encrypted incident data further encoded into characters. The encoded incident report is produced in a QR code along with a request to scan the QR code via an output interface of the secured IoT device to thereby have the encoded incident report sent to the technical support server by another device that accesses a digital communication network.

Machine learning based incident evaluation and prioritization methods and systems are provided. A priority assessment system may apply incident data comprising incident reports to one or more machine learning models to infer a report priority category for at least a first incident report of the incident data based on textual data from the first incident report. The one or more machine learning models may further infer at least one incident classification for the first incident report based on the textual data from the first incident report, and the priority assessment system generating a tagged first incident report based on the first incident report and the at least one incident classification. The tagged first incident report may be selectively conveyed to an incident alert system or used to supplement monitored tracking data based on the report priority category. The incident classification may include an inferred keyword and or a severity score.

A method to identify which safety leading indicators are not capturing hazards during safety inspections that later contribute to safety incidents and to identify blind spots in safety inspections. The method includes inputting a plurality of incident reports from the worksite and a plurality of inspection reports from the worksite into a system that uses machine learning (ML) and artificial intelligence (AI); identifying socio-technical factors influencing safety risks at the worksite using unsupervised clustering for topic modeling; evaluating semantic similarity between the plurality of incident report and the plurality of inspection reports conducted in a preceding time period to detect missing socio-technical factors not captured during safety inspections; and providing the identified socio-technical factors previously not captured during safety inspections to a stakeholder for development of modified inspection checklists tailored to capture the identified socio-technical factors previously not captured during safety inspection.

Described herein are systems, devices, methods, and media for connecting a user for providing emergency response assistance to victims and emergency service providers. In some embodiments, a method for automatically populating an incident report includes the steps of: generating a victim code for display at a first electronic device; receiving an emergency data request comprising the victim code from a second electronic device associated with an emergency service provider (ESP) personnel; gathering emergency data associated with the victim code; transmitting the emergency data associated with the victim code to the second electronic device associated with the ESP personnel; and automatically populating, at the second electronic device associated with the ESP personnel, one or more fields of an incident report using the emergency data associated with the victim code.

A variety of methods, defibrillators, defibrillator network servers and system architectures are described that facilitate conveying defibrillator incident information to personnel that can benefit from access to such defibrillator incident information.

This disclosure describes, in part, systems for reporting and locating incidents within a facility using user-directed independently controlled devices. The systems and techniques provide for a user to report an incident through an interface of the independently controlled device, such as a smart shopping cart, and for the device to communicate with a facility management system to identify the location of the device within the facility. The location and the incident report may be communicated to have an associate of the facility address and remediate the incident without interrupting a customer's experience within the facility.

An incident report management system is configured to receive and analyze incident reports relating to workplace accidents and injuries. A natural language processing function utilizes word dictionaries of varying type and scope to reduce an incident description to a set of core components that are far smaller than the input text while also preserving important aspects of the input text. The reduced core component set may be analyzed for meaning, compared to large volumes of historic incident reports, and otherwise processed more quickly and more efficiently whether by an expert function or AI function. In this manner, the system is able to provide real-time feedback during submission of incidents to improve quality and completeness, and after submission of incidents to notify users of serious incidents, provide dashboard analytics, and identify underlying and undiscovered risks in the workplace.

An incident clustering system for detecting clusters among incident reports can include a data intake module configured to receive incident text strings associated with respective incident reports input by a user, a pre-processing module operatively connected to the data intake module to receive the incident text strings from the data intake module and to pre-process the incident text strings to output pre-processed text strings associated with the respective incident reports, and a token module operatively connected to the pre-processing module to receive the pre-processed text strings. The token module can be configured to identify one or more phrases-of-interest having a plurality of words in the pre-processed text strings and concatenate the plurality of words of each of one or more phrases-of-interest to output concatenated tokens associated with the respective incident reports. The system can also include a clustering module configured to receive the concatenated tokens associated with the respective incident reports and to cluster similar concatenated tokens together to cluster associated incident reports.

The present invention relates to a safety compliance, identification, and security monitoring system that includes a monitoring device operable to capture images / videos of a predefined area and persons and events within the area. The monitoring device is further operable to determine whether persons within the area are wearing required personal protective equipment. In one embodiment, the monitoring device initiates an alert a safety equipment infraction. In one embodiment, the system is operable to further record an incident report identifying the nature, date, and location of the infraction, as well as the identity of the person committing the infraction. In one embodiment, the system is operable to monitor various external conditions, such as heat, humidity, smoke, and initiate an alert of the external condition detected. In one embodiment, the system detects quality assurance / quality control issues, including situations involving inspecting equipment, tools, and / or materials for non-conformance.

A method and system for collecting, matching and reporting evidence related to a collision event captured on a first collision detection device associated with a vehicular transportation system. A first incident report of the collision event communicated from the first collision detection device to the cloud-based application. The first incident report includes image data, location data, and temporal data of the collision event. A collision event database of the cloud-based application is searched to locate a second incident report of the collision event. The first incident report is compiled with the second incident report when the collision event of the first incident report matches the recorded collision event of the second incident report. A collision evidence report is generated based on the compiled first and second incident reports.

According to an implementation of the subject matter described herein, a solution for providing a health index of a service is provided. In the solution, multiple accident information sets associated with multiple services are obtained. Multiple services are provisioned in a computing environment. The accident information set indicates at least one accident reported during the operation of the service. Corresponding health indexes are determined for multiple services based on corresponding accident information sets in the multiple accident information sets and a health classification strategy. The corresponding health indexes indicate corresponding health states of the multiple services and are determined from the same health index range. By uniformly using the accident information, the determined health index can indicate a common and consistent health state for different services.

Techniques for automatic data collection and report generation after a vehicle incident include generating incident reports includes receiving a signal indicating that a vehicle has been involved in an incident; receiving vehicle data collected by the vehicle; receiving supplemental data from a mobile device; generating a report of the incident based on the vehicle data and the supplemental data; and transmitting the report to an insurance company.

Certain example embodiments herein relate to techniques that help automatically derive test scripts based on incidents reported using a trouble ticket reporting system or the like. Information is extracted from a support incident report related to an underlying incident reported via a ticket system. The extracted information includes one or more elements of a computer-implemented product implicated by the underlying incident and a category of incident. A test case is generated based thereon. If there is no test matching the generated test case already existing in a test repository, a new test based on the test case is generated using a generative artificial intelligence (AI) model, and the generated new test is stored to the test repository. Responsive to a developer fix being committed, one or more tests relevant to the developer fix is / are automatically identified and automatically executed.

An unsupervised pattern extraction system and method for extracting incident and root cause patterns from various kinds of machine data such as system-level metric values, system call traces, and semi-structured or free form text log data and performing holistic root cause analysis for distributed systems. The system utilizing Natural Language Processing and machine learning techniques to extract incident and root cause information from received incident reports and other system data. The system consists of both real time data collection (104) and analytics functions (200). The previously reported incident data is used to discover and apply remediation techniques to utilize prior remediation efforts to automatically classify and correct incidents. The system may then annotate a remediation data file with the technique applied. The system will utilize prior known remediation techniques for identified categories to predict and prevent future issues.

Systems and methods for automated generation of requests across disparate entities are provided. A method includes: receiving an incident report; extracting context information associated with the incident report, wherein the context information comprises a set of attributes associated with an incident; generating a set of contacts and a set of messages to be sent to the set of contacts based at least in part on the context information and an identity of a requesting user; transmitting the set of messages to the set of contacts; and generating and outputting, responsive to receiving information from the set of contacts, a context specific report containing the information received from the set of contacts.

Methods, apparatuses, or computer-readable storage medium provide for intelligently generating post-incident reports. A post-incident indication associated with an incident may be received. Relevant post-incident data associated with the incident may be determined using one or more machine learning models and based on one or more enterprise applications. A post-incident report for the incident may be generated based on the relevant post-incident data. The post-incident report may be provided for display on a client computing device.

The present invention relates to a safety compliance, identification, and security monitoring system that includes a monitoring device operable to capture images / videos of a predefined area and persons and events within the area. The monitoring device is further operable to determine whether persons within the area are wearing required personal protective equipment. In one embodiment, the monitoring device initiates an alert a safety equipment infraction. In one embodiment, the system is operable to further record an incident report identifying the nature, date, and location of the infraction, as well as the identity of the person committing the infraction. In one embodiment, the system is operable to monitor various external conditions, such as heat, humidity, smoke, and initiate an alert of the external condition detected. In one embodiment, the system detects quality assurance / quality control issues, including situations involving inspecting equipment, tools, and / or materials for non-conformance.

A method to identify which safety leading indicators are not capturing hazards during safety inspections that later contribute to safety incidents and to identify blind spots in safety inspections. The method includes inputting a plurality of incident reports from the worksite and a plurality of inspection reports from the worksite into a system that uses machine learning (ML) and artificial intelligence (AI); identifying socio-technical factors influencing safety risks at the worksite using unsupervised clustering for topic modeling; evaluating semantic similarity between the plurality of incident report and the plurality of inspection reports conducted in a preceding time period to detect missing socio-technical factors not captured during safety inspections; and providing the identified socio-technical factors previously not captured during safety inspections to a stakeholder for development of modified inspection checklists tailored to capture the identified socio-technical factors previously not captured during safety inspection.

A network incident summarization and visualization tool presents a summarized or filtered rendering of an analysis or narrative of a collection of events gathered from a stream of incident reports. A graph structure stores entities and relationships between network entities in a graph form based on temporal correspondence between different incidents. An evaluation of the entities and the relationships implements a scoring methodology that identifies the most significant incidents based on the entities and component groups of entities associated by a sequence of relationships. The scoring methodology provides a normalized score that is filtered based on a threshold that removes entities having little to no correspondence or effect. The resulting filtered rendering defines a graph of entities and relationships ordered by type and significance such that the most important aspects of the rendered narrative are apparent.

A method comprises maintaining a maintenance identifier identifying the maintenance event and an identity of a maintenance technician responsible for performing the maintenance event, obtaining the alarm created during a maintenance interval associated with the maintenance event, wherein the maintenance interval is a preset period of time during which the maintenance event is to be performed at a cell site, and in response to the alarm still being active after the maintenance interval has expired adding the maintenance identifier to the alarm, generating, by the incident reporting application, and transmitting a notification associated with incident report directly to the maintenance technician via the method of communicating with the maintenance device.

A method comprises maintaining a maintenance identifier identifying the maintenance event and an identity of a maintenance technician responsible for performing the maintenance event, obtaining the alarm created during a maintenance interval associated with the maintenance event, wherein the maintenance interval is a preset period of time during which the maintenance event is to be performed at a cell site, and in response to the alarm still being active after the maintenance interval has expired adding the maintenance identifier to the alarm, generating, by the incident reporting application, and transmitting a notification associated with incident report directly to the maintenance technician via the method of communicating with the maintenance device.

A system and method for reducing data record processing in incident report generation is provided. The method includes: accessing a plurality of event records, each event record generated based on an event in a computing environment; parsing each event record based on a predetermined data field; extracting from each predetermined data field a data value; correlating a group of event records of the plurality of event records based on at least an extracted data value; generating an incident data record based on the extracted data values of the correlated group of event records; generating a prompt based on the incident data record; and generating an incident report by configuring a large language model (LLM) to execute the generated prompt.

Disclosed are a method, system, and apparatus of a body-worn camera system with integrated artificial intelligence for real-time field assistance and automated incident reporting. In one embodiment, a cloud-based data management system includes an artificial intelligence module to generate a transcript of an incident using data captured from a body-worn safety device (e.g., audio or video data) that captures an incident surrounding a first responder. The transcription is highly accurate, even in noisy environments, and discerns different speakers, making it valuable for documenting interactions and statements. The transcribed text is analyzed with a private Large Language Model (LLM), to interpret at least one of the audio and video data, and to provide insights, summaries, and / or flag potential areas of concern based on the context and content of a conversation during the incident. An incident report based on the recorded and analyzed data.