A case for a head-mounted device includes a body portion and a power supply. The body portion includes one or more walls defining an interior cavity that is configured to receive and house the head-mounted device. The power supply is included in the body portion for transferring power to the head-mounted device.

Tracking devices can be associated with safe zones, smart zones, and high risk zones. Safe zones correspond to regions where a likelihood that a tracking device is lost within the safe zone is lower than outside the safe zone. High risk zones correspond to regions where a likelihood that a tracking device is lost within the high risk zone is higher than outside the high risk zone. Smart zones correspond to an expected tracking device, mobile device, or user behavior. Home areas are geographic regions in which a user resides, and travel areas are geographic regions in which a user does not reside. A tracking device can be configured to operate in a mode selected based on a presence of the tracking device within a safe zone, a smart zone, a high risk zone, a home area, or a travel area.

Tracking devices can be associated with safe zones, smart zones, and high risk zones. Safe zones correspond to regions where a likelihood that a tracking device is lost within the safe zone is lower than outside the safe zone. High risk zones correspond to regions where a likelihood that a tracking device is lost within the high risk zone is higher than outside the high risk zone. Smart zones correspond to an expected tracking device, mobile device, or user behavior. Home areas are geographic regions in which a user resides, and travel areas are geographic regions in which a user does not reside. A tracking device can be configured to operate in a mode selected based on a presence of the tracking device within a safe zone, a smart zone, a high risk zone, a home area, or a travel area.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for customizing a user experience for users of a transportation matching system. In particular, in one or more embodiments, the disclosed systems can detect a mobile application session on a requester device, determine information related to a location of a requester device, and then utilize one or more modifications to modify a user interface experience for the mobile application session on the requester device.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for customizing a user experience for users of a transportation matching system. In particular, in one or more embodiments, the disclosed systems can detect a mobile application session on a requester device, determine information related to a location of a requester device, and then utilize one or more modifications to modify a user interface experience for the mobile application session on the requester device.

Systems and methods for confirming the presence of a person or asset for a given purpose, and recording this information in a distributed ledger. The distributed ledger records and confirms presence indicia in connection with a transaction said facilitates remote and/or automated signatures. The systems and methods detect the presence of one or more humans and/or computing devices at a specific location at the time of a transaction, and contemporaneously recording information concerning the transaction in a distributed ledger. Presence can be determined using network presence sensing (NPS), other types of sensors, or the combination of NPS with other sensors.

Systems and methods for confirming the presence of a person or asset for a given purpose, and recording this information in a distributed ledger. The distributed ledger records and confirms presence indicia in connection with a transaction said facilitates remote and/or automated signatures. The systems and methods detect the presence of one or more humans and/or computing devices at a specific location at the time of a transaction, and contemporaneously recording information concerning the transaction in a distributed ledger. Presence can be determined using network presence sensing (NPS), other types of sensors, or the combination of NPS with other sensors.

An approach is provided that identifies Internet of Things (IoT) network anomalies. The approach receives IoT endpoint device data at an attestation entity included in the network. The data is logged to a secured ledger and analyzed. Conditions pertaining to the IoT endpoint devices are analyzed with the analysis being based on a set of network policy data. Based on the analysis, the approach detects network anomalies that correspond to the IoT endpoint devices. These network anomalies and their corresponding IoT endpoint devices are then reported.

A system and methods relate to, inter alia, determining a prediction confidence level associated with machine identification of production data based on a machine learning model. The system and methods further relate to routing the production data to at least one of a human analyzer device associated with the human analyzer or a prediction engine of the server based on the prediction confidence level for identification of the data. The machine learning model of the system and methods may be configured to be modifiable in response to feedback from at least one of the human analyzer device or the prediction engine.

Audio operating systems and related systems, methods, and devices are disclosed. A portable electronic accessory includes a microphone to receive audio inputs, a speaker to provide audio outputs, and control circuitry including a cellular data radio circuit and an application processor. The cellular data radio circuit is configured to communicate with a cloud server through a cellular data network. The application processor is configured to execute at least a portion of an audio operating system. The audio operating system is configured to host audio software applications provided by the cloud server. The audio software applications are configured to operate free from graphical user interface elements based at least in part on the audio inputs and the audio outputs. The cloud server includes a data storage devices including software application code for audio software applications to be hosted by an audio operating system (OS) of the portable electronic accessory.