The techniques of this disclosure relate to a vehicle occupancy-monitoring system. The system includes a controller circuit that receives occupant data from an occupancy-monitoring sensor of a vehicle. The controller circuit determines an occupancy status of respective seats in a cabin of the vehicle based on the occupancy-monitoring sensor. The controller circuit indicates the occupancy status of the respective seats on a display located in a field of view of occupants of the vehicle. The display is integral to one of a roof light module, a door panel, or a headliner of the cabin. The system can improve passenger safety by alerting the operator and other occupants about the occupancy status of the passengers.

The techniques of this disclosure relate to a vehicle occupancy-monitoring system. The system includes a controller circuit that receives occupant data from an occupancy-monitoring sensor of a vehicle. The controller circuit determines an occupancy status of respective seats in a cabin of the vehicle based on the occupancy-monitoring sensor. The controller circuit indicates the occupancy status of the respective seats on a display located in a field of view of occupants of the vehicle. The display is integral to one of a roof light module, a door panel, or a headliner of the cabin. The system can improve passenger safety by alerting the operator and other occupants about the occupancy status of the passengers.

An electronic device includes a processor, and a memory containing instructions that, when executed by the processor, cause the electronic device to learn a sound emitted by a legacy device and to issue an output when the electronic device subsequently hears the sound. For example, the electronic device can receive a training input and extract a compact representation of a sound in the training input, which the device stores. The device can receive an audio signal corresponding to an observed acoustic scene and extract a representation of the observed acoustic scene from the audio signal. The electronic device can determine whether the sound is present in the observed acoustic scene at least in part from a comparison of the representation of the observed acoustic scene with the representation of the sound. The electronic device emits a selected output responsive to determining that the sound is present in the acoustic scene.

An electronic device includes a processor, and a memory containing instructions that, when executed by the processor, cause the electronic device to learn a sound emitted by a legacy device and to issue an output when the electronic device subsequently hears the sound. For example, the electronic device can receive a training input and extract a compact representation of a sound in the training input, which the device stores. The device can receive an audio signal corresponding to an observed acoustic scene and extract a representation of the observed acoustic scene from the audio signal. The electronic device can determine whether the sound is present in the observed acoustic scene at least in part from a comparison of the representation of the observed acoustic scene with the representation of the sound. The electronic device emits a selected output responsive to determining that the sound is present in the acoustic scene.

A wearable device can include a wearable band configured to contact a user of the wearable device, an actuator, a sensor, and one or more processors in communication with the actuator and the sensor. The processors can be configured to measure a back electromotive force (“EMF”) of the actuator; determine, based on the measured back EMF, data that describes a contact force between the wearable band and the user; and determine, based on the data that describes the contact force, a quality metric describing a data quality of sensor data collected by the sensor. In some embodiments, the processor(s) can determine, generate sensor output data based on the sensor data and based at least in part on the data describing the contact force between the wearable band and the user. For example, one or more machine-learned models maybe leveraged to generate sensor output data that is compensated for the wearable band being too tight or too loose.

A wearable device can include a wearable band configured to contact a user of the wearable device, an actuator, a sensor, and one or more processors in communication with the actuator and the sensor. The processors can be configured to measure a back electromotive force (“EMF”) of the actuator; determine, based on the measured back EMF, data that describes a contact force between the wearable band and the user; and determine, based on the data that describes the contact force, a quality metric describing a data quality of sensor data collected by the sensor. In some embodiments, the processor(s) can determine, generate sensor output data based on the sensor data and based at least in part on the data describing the contact force between the wearable band and the user. For example, one or more machine-learned models maybe leveraged to generate sensor output data that is compensated for the wearable band being too tight or too loose.

The present invention relates generally to the field of tracking systems. More specifically, the present invention relates to a radio tracking system that is primarily comprised of at least one tracking tag, further comprised of at least one transmitter, at least one color indicator, and at least one wristband, further comprised of at least one LED and at least one motor. The tracking tag is preferably of discrete shape and size and may be fixedly or removably attached to any item that may be lost or misplaced. The wristband is comprised of a flexible or semi flexible material that features at least one fastener and receives signals that are sent from the internal transmitter of the tracing tag. LED lights illuminate to the corresponding color indicated on the tracking tag. In this manner, the system allows for efficient and quick location of lost or misplaced items.

The present invention relates generally to the field of tracking systems. More specifically, the present invention relates to a radio tracking system that is primarily comprised of at least one tracking tag, further comprised of at least one transmitter, at least one color indicator, and at least one wristband, further comprised of at least one LED and at least one motor. The tracking tag is preferably of discrete shape and size and may be fixedly or removably attached to any item that may be lost or misplaced. The wristband is comprised of a flexible or semi flexible material that features at least one fastener and receives signals that are sent from the internal transmitter of the tracing tag. LED lights illuminate to the corresponding color indicated on the tracking tag. In this manner, the system allows for efficient and quick location of lost or misplaced items.

Disclosed herein are apparatuses and methods for managing building pathway information. A building and/or security management system can detect, based on receiving input from multiple sensor devices, a possible safety issue in a first pathway to an egress of a building, determine, based on detecting the possible safety issue and based on information regarding other pathways in the building, a second pathway to the egress of the building, and indicate at least the second pathway to another system.

Technologies for tracking the location of mobile assets include a tracking device mounted to an asset and radio-frequency identification tags installed or attached to static structures. The radio-frequency identification tags include identification data stored thereon. The identification data is associated with the installed location of the corresponding radio-frequency identification tags. The tracking device includes one or more transceivers configured to energize or trigger the radio-frequency identification tags and receive the stored identification data when the tracking device and asset are in proximity to the tags. The current location of the mobile asset is determined based on the identification data received from the radio-frequency identification tags.