Abstract: A device may receive frames of a video capturing an analog meter with a dial and a needle, may process the frames to identify a center, a radius, and a perimeter of the dial, and may determine calibrated values for the dial. The device may apply a model to one of the frames to create a base mask, may apply thresholding for a dynamic HSV bounding value, to the base mask and the frames, to create masked frames, and may identify contours for the masked frames. The device may identify a quantity of points for each of the contours, may estimate angles of the needle of the analog meter based on the quantity of points, and may average the estimated angles to determine an averaged needle angle. The device may determine a needle direction based on the averaged needle angle and may calculate a meter reading.

Abstract: A method, a device, and a non-transitory storage medium are described in which an blocking delivery service is provided. The service may use an identifier of a source end device, destination address information associated with a destination end device, and configurable criteria as a basis to block delivery of application service layer data. The service may be configured to apply to end devices based on an addressing scheme of the service. The service may be configured on a network device that provides an application service. The service may block delivery without the use of class of service or subscriber provisioning.

Abstract: A method, a device, and a non-transitory storage medium are described, which provide a recommendation system with performance management service. The service may include selecting and ranking content that relate to a user query and a problem associated with an application and/or a device. The service may include invoking a remedial procedure based on user feedback data. The service may include similarity and classification models based on successful recommendation records.

Abstract: One or more computing devices, systems, and/or methods for determining statuses of objects using sensors are provided. For example, a first signal is received from a first device comprising a first sensor. The first signal is indicative of a first identifier associated with a first object that the first device is coupled to and/or one or more first properties detected by the first sensor. A first status associated with the first object is determined based upon the first identifier and/or the one or more first properties. In an example, a system comprises a first device coupled to a first object. The first device comprises a first sensor configured to detect one or more first properties of the first object. The first device comprises a first transmitter configured to transmit a first signal indicative of the one or more first properties and/or a first identifier associated with the first object.

Abstract: A system described herein may provide a technique for the rate-controlled forwarding of traffic to a base station of a radio access network (“RAN”). The rate of the forwarding of the traffic may be based on a latency sensitivity of the traffic, metrics associated with the base station, and an ingress capacity of the base station. The metrics associated with the base station may include congestion and/or load metrics, radio frequency (“RF”) metrics, or other suitable metrics. The latency sensitivity of the traffic may be determined based on a source and/or destination of the traffic, a network slice associated with the traffic, or other suitable traffic attributes. After receiving the rate-controlled traffic, the base station may perform scheduling and/or queueing of the traffic in order to wirelessly provide the traffic to one or more User Equipment (“UEs”).

Abstract: A CPE device may include a plurality of CPE modules implemented in hardware. The plurality of CPE modules may include a first module and a second module. The first module and the second module may be arrangeable in a stacked configuration. The first module may include a first interconnection interface component disposed on a top surface of the first module. The second module may include a second interconnection interface component disposed on a bottom surface of the second module. The second interconnection interface component may be configured to complementarily couple to the first interconnection interface component when the first module and the second module are arranged in the stacked configuration.

Abstract: A method may include receiving, from a user device, a registration request that includes a subscription concealed identifier (SUCI), identifying a network element to decode the SUCI and forwarding the SUCI to the identified network element. The method may also include decoding the SUCI to identify a subscription permanent identifier (SUPI), identifying a unified data management (UDM) device associated with the SUPI and transmitting an authentication request to the identified UDM device to obtain authentication information associated with the user device. The method may further include receiving the authentication information and authenticating the user device based on the received authentication information.

Abstract: A system described herein may provide a technique for the automated detection of a particular type of lighting fixture, where a given type may refer to a particular make and/or model of the lighting fixture, bulb quantity, bulb technology, power output rating, etc. The detection may be based on measured dimming curves of the lighting fixture, which may indicate actual power consumption at varying brightness levels of the lighting fixture. One or more power consumption models may be selected, generated, and/or refined based on the measured dimming curves, and applied to other lighting fixtures sharing similar attributes and/or under similar conditions. Based on such models, a given lighting fixture may be able to automatically detect anomalous behavior (e.g., excessive power consumption or less power consumption compared to expected power consumption) and automatically take remedial actions.

Abstract: A network device may receive a request for functionality to switch to wideband audio at a user device receiving over-the-top (OTT) video and OTT audio associated with a video conferencing application provided by an application server. The network device may switch from the OTT audio to the wideband audio, for the video conferencing application, based on receiving the request for the functionality. The network device may provide the wideband audio associated with the video conferencing application to the user device to cause the user device to provide the OTT video and the wideband audio independently.

Abstract: A system described herein may maintain policy information associating a plurality of network credentials with respective device identifiers of User Equipment (“UEs”) that are authorized to use respective network credentials to access a network. The system may receive network monitoring information indicating that a particular UE, associated with a particular device identifier, is accessing the network using a particular network credential; compare the particular device identifier and the particular network credential to the policy information; determine, based on comparing the particular device identifier and the particular network credential to the policy information, that the particular UE is not authorized to use the particular network credential; and output a notification to the network that the particular UE is not authorized to use the particular network credential to access the network, wherein the network suspends the particular network credential based on the notification.

Abstract: A User Equipment (“UE”) described herein may connect or request connection to a base station of a wireless network. The base station may implement multiple frequency bands, and connecting or requesting connection to the base station may include connecting or requesting connection via a particular frequency band of the multiple frequency bands. The UE may provide an indication of the particular frequency band to a core of the wireless network. The core may select a set of parameters for communications between the UE and the wireless network based on the indication of the particular frequency band. Additionally, or alternatively, the core may provide an indication of the particular frequency band to a device that provides a service to the UE via the wireless network, and the device may select parameters for the service based on the indication of the particular frequency band.

Abstract: A method, a device, and a non-transitory storage medium are described in which a Wi-Fi admission control and prioritization service is provided. The Wi-Fi admission control and prioritization service may be included in a Wi-Fi access device. The Wi-Fi admission control and prioritization service may include the Wi-Fi access device reserving Wi-Fi data connections for priority users. An end device may transmit priority information to the Wi-Fi access device during a Wi-Fi connection establishment procedure. The Wi-Fi access device may use one of the reserved data connections to establish a Wi-Fi connection with the end device. The priority information may include a non-Wi-Fi access control class value that indicates the end device is of a high priority. The Wi-Fi access device may provide quality of service and prioritization, which is in correspondence to the priority information, to traffic of the end device that traverses the Wi-Fi access device.

Abstract: A method and system of providing private data privately when such data is requested from a VCD utilizes a communications network to communicate with a service containing the private data to determine if the data is private. Once the data is determined as being private, instead of being sent to the VCD to be broadcasted audibly, the data may be transmitted to a user's preferred device to be presented privately to the user.

Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to receive a session request from an application function (AF) device for a user equipment (UE) device and select a network slice based on the AF device. The computer device may be further configured to send a slice selection trigger to an Access and Mobility Function device for the UE device in response to selecting the network slice, wherein the slice selection trigger includes an instruction to UE device to request the selected network slice; receive a notification from a User Plane Function device associated with the selected slice, wherein the notification identifies a Packet Data Unit session between the UPF device and the UE device; and instruct the AF device to start a session with the UE device via the identified PDU session.

Abstract: Disclosed are systems and methods for performing distributed, keyless authorized electronic transactions. The disclosed systems and methods provide an electronic transaction framework where hardware and/or software devices can be used to authenticate users and/or authorize transactions involving such users. The disclosed framework operates as a distributed system in that it can be built without an entity that all parties must trust. The framework relies entirely on one-way functions and avoids using both symmetric and asymmetric cryptography; therefore, the framework does not have secret keys that can be compromised. The framework provides a distributed, electronic authorization system that does not require a reference clock to which components are synchronized, thereby enabling dynamic, agile authorization with improved security for user and transactional data.

Abstract: A device may receive dynamic customer data and static customer data, and may calculate additional customer data based on the dynamic customer data and the static customer data. The device may process the static customer data, the dynamic customer data, and the additional customer data, with a first machine learning model, to determine a next action prediction, and may process the static customer data, the dynamic customer data, and the additional customer data, with a second machine learning model, to determine a next sequence prediction. The device may concatenate the static customer data, the dynamic customer data, the additional customer data, the next action prediction, and the next sequence prediction to generate concatenated data, and may process the concatenated data, with a plurality of machine learning models, to calculate various outputs, and may generate a recommendation for the customer based on the various outputs.

Abstract: A device may receive video data identifying videos associated with one or more unsafe driving events by a driver of a vehicle, and may process the video data, with a machine learning model, to determine classifications for the videos. The device may assign tags to the videos based on the classifications, and may calculate event severity scores based on the classifications. The device may calculate tag scores based on the tags assigned to the videos, and may calculate time-to-contact scores, box cross scores, day/night scores, weather scores, and road condition scores based on the video data. The device may calculate video risk scores for the videos based on the event severity scores, the tag scores, the time-to-contact scores, the box cross scores, the day/night scores, the weather scores, and the road condition scores, and may provide one or more of the video risk scores for display.

Abstract: A device may receive network data identifying a topology of network devices of a network, quality of service (QoS) rules for user equipment (UEs) and application flows associated with the network, QoS profiles for a radio access network (RAN) of the network, and service data flow (SDF) templates. The device may process the network data, with a model, to calculate a network device service level agreement (SLA) score, for each of the network devices on a sliding window, to generate network device SLA scores, and may aggregate the network device SLA scores to generate an end-to-end SLA score on the sliding window. The device may generate QoS configuration data based on the end-to-end SLA score, and may implement the QoS configuration data.

Abstract: A system may provide for the design and/or modification of network slices associated with a wireless network. The wireless network may include different slices that are associated different sets of service parameters. Slices may include radio access networks (“RANs”), core networks, or other types of networks, which may include respective sets of network functions (“NFs”), which may perform specific functions with respect to a given RAN and/or core network. Different slices, RANs, core networks, and/or NFs may be associated with particular policies and/or tags which may be specified by one or more users associated with a first access level. One or more users associated with a second access level may configure portions of the wireless network, and the policies and/or tags associated with particular slices, RANs, core networks, or NFs may be automatically implemented by an orchestration system that configures the wireless network based on the provided configuration information.

Abstract: A system described herein may identify traffic associated with a User Equipment (“UE”) that is connected to a first network. The UE may maintain a plurality of UE identities via one or more SIM (“Subscriber Identification Module”) cards, Universal Integrated Circuit Cards (“UICCs”), etc. The system may determine, based on one or more policies, that the traffic is not authorized via the first network. In some situations, the traffic may not be authorized if the first network does not support a type, service, etc. of the traffic. The system may identify a second network, based on the one or more policies, via which the traffic is authorized, and may indicate the second network to the UE. The UE may automatically (e.g., without user intervention) switch to a particular UE identity that is associated with the second network, and may output the traffic via the second network using such UE identity.