Abstract: A device, method and system for resolving misunderstandings on channels is provided. A device monitors communications on a channel between communication devices. The device determines a misunderstanding in the communications. The device determines information to resolve the misunderstanding. The device controls one or more of the communication devices to provide the information to resolve the misunderstanding.

Abstract: A security ecosystem, device, system and method for mitigating conflicts in workflows is provided. A computing device is provided having a network interface and a processor configured to receive workflows from a plurality of workflow computer systems and identify conflicts in the one or more physical devices that are shared among the workflows. The processor mitigates identified conflicts by modifying at least one of the workflows to avoid an identified conflict and provides the modified workflow back to one or more of workflow computer systems implementing the workflows that caused the conflicts.

Abstract: Techniques for detecting and tracking a status of an object relevant to an incident are provided. A virtual partner associated with a first responder detects at least one object that is relevant to an incident to which the responder is responding. The virtual partner requests that a smart building controller track a status of the at least one object. It is determined that the at least one object is currently needed. An indication is received from the smart building controller when the at least one object is currently needed, indicating the status of the at least one object.

Abstract: A process for tagging incident data captured by non-public-safety agency controlled cameras. In operation, an electronic computing device detects an occurrence of an incident and obtains an incident identifier associated with the incident. The electronic computing device determines that a non-public-safety agency controlled camera is available for capturing incident data corresponding to the incident. The electronic computing device then controls a public-safety agency controlled internet-of-things (IoT) infrastructure deployed at an incident location to emit a signal including one of an audible signal, visible signal, or a combination of audible and visible signals to enable the non-public-safety agency controlled camera to tag incident data using the emitted signal. The electronic computing device links a unique tag representing the emitted signal to the incident identifier.

Abstract: A process of modifying workflows associated with processing an incident scene in response to detecting contamination of the incident scene. An electronic computing device obtains a first image of an incident scene at a first point in time and analyzes the first image to detect a state of evidentiary items present at the incident scene. The device obtains a second image of the incident scene at a second point in time and detects a change in the state of the evidentiary items based on a comparison of the first and second images. When it is determined that one or more persons entered or exited the incident scene during a time period between the first point in time and the second point in time, the device detects that the incident scene has been contaminated and generates a workflow modification identifying one or more actions for execution by a workflow server.

Abstract: A device, system, and method for implementing role-based machine learning models is provided. A implements a supervisory machine learning model that detects a first role associated with a first object in images received from a camera. The device, from machine learning models, selects and implements a first machine learning model associated with the first role to perform analysis on the images, that is reported to one or more communication devices. After implementing the first machine learning model, the device uses the supervisory machine learning model to determine a second role associated with a second object in the images that is different from the first role, and selects, from the machine learning models, a second machine learning model associated with the second role. The device implements the second machine learning model to perform analysis on the images to change the analysis reported to the one or more communication device.

Abstract: A device, system, and method for altering video streams to identify objects of interest is provided. A devices analyzes: media data to determine one or more visual traits of an object-of-interest (OOI); and a first video stream to determine that the visual trait(s) are not identifiable at the first video stream, the first video stream being rendered at a display screen. The device identifies at least one of the visual trait(s) at a second video stream to identify the OOI at the second video stream, the second video stream associated with the first video stream. The device identifies the OOI at the first video stream using the OOI as identified in the second video stream. The device alters the first video stream at the display screen to visually indicate one or more of: the and at least one of visual trait(s) identified at the second video stream.

Abstract: A process for handling an incident in a multi-cloud environment is provided. The process comprises receiving digital data associated with an incident, identifying cloud services to be executed in response to the incident, determining estimated usage levels at which the cloud services will be utilized in response to the incident, determining at least a first option of executing the cloud services and a second option of executing the cloud services that is different from the first option, estimating at least a cost of executing the cloud services according to the first option and a cost of executing the cloud services according to the second option, identifying a selected option by receiving the selected option from a user or choosing an option having the lowest estimated cost to be the selected option, and causing the cloud services to be executed according to the selected option.

Abstract: A method and system for improving prediction of an incident affecting public safety is described. At a machine learning analytics system, the method includes obtaining a real-time video for a location of a public safety emergency call and predicting a public safety incident therefrom. At a learning processor, the method includes: receiving information related to the public safety emergency call; identifying a public safety incident type based thereon; receiving the prediction of the public safety incident; using a first public safety incident machine learning model based on the identified public safety incident type and comparing the public safety incident prediction with the information related to the public safety emergency call and identifying an incident prediction mismatch therefrom. The learning processor identifies an artifact in the real-time video that is a contributing factor for the incident prediction mismatch; and implements a model improvement action associated with the artifact.

Abstract: Techniques for improving admissibility of electronic evidence are provided. An indication that a piece of evidence has been presented to and rejected by a court may be received. The indication includes a reason the piece of evidence was rejected. Metadata related to the piece of evidence is updated in the evidence management system to indicate the reason why the piece of evidence was rejected. Analytics are used to locate additional incidents similar to the incident in the evidence management system. Additional rejected evidence associated with the located incidents that are associated with the piece of evidence that has been rejected by the court based on metadata associated with the additional rejected evidence are identified. Artificial intelligence is used to analyze the rejected evidence and the additional rejected evidence to determine commonalities between the reasons for rejection. A recommended corrective action to prevent future rejection of later gathered evidence is output.

Abstract: Monitoring systems and methods for identifying an object of interest after the object of interest has undergone a change in appearance. One example provides an image sensor is configured to monitor a first area. A first electronic processor is configured to detect a first appearance of an object of interest within the first area, and determine a visual characteristic of the object of interest. The first electronic processor is configured to receive a first notification indicative of movement of the object of interest into a second area and an access input, and associate the visual characteristic of the object of interest with the access input. The first electronic processor is configured to detect a second appearance of the object of interest within the first area, and update the visual characteristic of the object of interest based on the second appearance of the object of interest.

Abstract: A process of notifying users about publicly available data. In operation, an authorization server receives a request from a user to access a data item. The authorization server then determines a restriction status assigned to the data item. When the restriction status indicates that the data item is not publicly available for access, the authorization server identifies access rights associated with the user to the data item. If access rights indicate that the user does not have access to the data item, the authorization server denies user access to the data item, and responsively monitors for a reclassification of the restriction status assigned to the data item. The authorization server transmits a notification to the user indicating that the data item is publicly available for access by the user in response to detecting a reclassification of the restriction status indicating that the data item is publicly available.

Abstract: A method, system and computer program product for correlating objects of interest based on difference and similarities analysis is disclosed. The method includes receiving input that a human user is focused on a portion of a first image during a first period of time, and also focused on a portion of a second image during a second period of time. In response to the input being received, a first analytics-based action may be initiated when certain similarity/difference conditions are met, or a second analytics-based action may be initiated when certain other similarity/difference conditions are met.

Abstract: Techniques for management of commercial virtual assistant services are provided. The techniques include receiving a query from a user within an organization. The techniques include determining if generating at least a portion of a response to the query will require use of a paid service and determining if at least one other virtual assistant within the organization has cached information usable to generate the at least a portion of the response to the query that requires use of the paid service. The techniques further include determining if the information cached by the at least one other virtual assistant is valid based in part on the query and receiving the information from the at least one other virtual assistant when the cached information is valid and include generating the at least a portion of the response to the query that requires use of the paid service using the received information.

Abstract: A method and system for controlling operation of a fixed position camera are disclosed. The method includes determining durations of time with respect to which moving objects are projected to become at least practically out of a capture range of the fixed position camera. Based at least in part on these determined durations of time, a number of changes are made to physical settings of the fixed position camera within respective opportunity windows for achieving respective objectives, and in a priority-ordered manner.

Abstract: A device, method and system for resolving misunderstandings on channels is provided. A device monitors communications on a channel between communication devices. The device determines a misunderstanding in the communications. The device determines information to resolve the misunderstanding. The device controls one or more of the communication devices to provide the information to resolve the misunderstanding.

Abstract: A process for tagging incident data captured by non-public-safety agency controlled cameras. In operation, an electronic computing device detects an occurrence of an incident and obtains an incident identifier associated with the incident. The electronic computing device determines that a non-public-safety agency controlled camera is available for capturing incident data corresponding to the incident. The electronic computing device then controls a public-safety agency controlled internet-of-things (IoT) infrastructure deployed at an incident location to emit a signal including one of an audible signal, visible signal, or a combination of audible and visible signals to enable the non-public-safety agency controlled camera to tag incident data using the emitted signal. The electronic computing device links a unique tag representing the emitted signal to the incident identifier.

Abstract: A device, system and method for controlling environmental devices at a smart building to assist a first responder is provided. A public-safety computing device determiners a context of a first responder at a smart building. The public-safety computing device is in communication with a smart-building control device. The context comprises one or more of: an objective to be achieved by the first responder in the smart building; and an object-of-interest in the smart building for which evidence is to be collected. The public-safety computing device communicates with the smart-building control device, to control environmental devices at the smart building to assist the first responder with respect to the context.

Abstract: A method and apparatus for preventing access to an IoT device is provided herein. During operation an apparatus will inquire about current and/or past connections to an IoT device. A list of identities of current and/or past apparatuses that were connected to the IoT device will be provided, and a determination on whether or not to allow access to the IoT device will be based on the identities of current and/or past apparatuses that are accessing, or have accessed the IoT device.

Abstract: A process for responding to location-variable group electronic digital assistant requests includes monitoring audio communications transmitted between a plurality of communication devices (CDs) on a group communication channel (CC) and detecting an audio inquiry from a first CD of the plurality of CDs. A location of each CD is determined, including different first and second determined locations of the first and second CDs. The audio inquiry is processed and it is determined that a response will vary based on the different first and second locations. Two different first and second responses to the audio inquiry are generated as a function of the determined locations and are caused to be provide to respective ones of the first and second CDs via one of (i) two private call CCs, (ii) one individual private call CC and the group CC, and (iii) the group CC and a second group CC.