Abstract:
A system may include a processor. The processor may perform operations including receiving multiple light patterns from multiple wireless devices. The operations may also include determining a location for each of the multiple wireless devices based at least in part on the multiple light patterns. Moreover, the operations may include pairing a first wireless device of the multiple wireless devices to the processor based at least in part on the location for each of the multiple wireless devices.
Abstract:
Each of multiple computing devices of a user is registered by obtaining therefrom identifying indicia, obtaining from the user a device-specific password for the computing device, and storing the obtained identifying indicia and device-specific password for the computing device in an entry for the user in a credentials database. The user requests access to a restricted service by way of a particular one of the multiple computing devices with credentials including the device-specific password for the particular computing device, and identifying indicia are obtained therefrom. The obtained identifying indicia and the device-specific password of the particular computing device appear in the entry, and the user is thus granted access to the restricted service.
Abstract:
A vehicle parking management system includes one or more processors configured to receive data indicative of one or more characteristics of one or more parking locations. The one or more processors is also configured to determine one or more recommended parking locations of the one or more parking locations based on the data and based on an input related to a vehicle. The one or more processors is further configured to output a recommendation of the one or more recommended parking locations via a display screen to a driver of the vehicle.
Abstract:
Systems and methods of the present disclosure include at least one building component detection sensor device configured to be deployed within (or proximate to) a building comprised of a plurality of building components. The at least one building component detection sensor device is configured to detect data relating to at least one building component of the plurality of building components. In addition, a building component property determination system includes a processor configured to execute instructions stored in memory to determine one or more properties of the at least one building component based at least in part on the data detected by the at least one building component detection sensor device.
Abstract:
A system may include a processor. The processor may be configured to receive a first indication indicative of presence of a person arriving at a location associated with a scheduled service. The process may also be configured to determine whether the first indication corresponds to an expected arrival time of the scheduled service. Additionally, the processor may receive activity data in response to determining that the indication corresponds to the expected arrival time. Further, the processor may receive a second indication indicative that the person has completed the scheduled service. Further still, the processor may determine whether the scheduled service is completed based at least in part on the activity data. Even further, the processor may transmit a service confirmation to a computing device associated with a property owner of the location in response to determining that the scheduled service is completed.
Abstract:
A vehicle parking management system includes one or more processors configured to receive data indicative of one or more characteristics of one or more parking locations. The one or more processors is also configured to determine one or more recommended parking locations of the one or more parking locations based on the data and based on an input related to a vehicle. The one or more processors is further configured to output a recommendation of the one or more recommended parking locations via a display screen to a driver of the vehicle.
Abstract:
A tangible, non-transitory machine-readable medium includes machine-readable instructions that, when executed by one or more processors, cause the one or more processors to receive historical driver data indicative of one or more physiological parameters of one or more drivers during one or more prior driving trips, receive historical position data indicative of a respective position of a respective vehicle driven by the one or more drivers during the one or more prior driving trips, establish a correlation between the historical driver data and the historical position data, and identify one or more low-stress road segments using the correlation between the historical driver data and the historical position data.
Abstract:
Techniques are described for providing delegated access to identity data stored on distributed ledger(s), in which the identity data can include image(s) of physical credential(s) and/or biometric data used to identify individual(s). An application programming interface (API) enables access to the identity data. In some instances, the access is provided to an obfuscated version of the identity data and/or to a hash or other digest of the identity data. The identity data is provided by the API according to the individual's delegation. The individual can specify rules that indicate the particular types of identity data that may be provided and/or used for particular purposes, and/or the particular entities authorized to request the identity data.
Abstract:
A tangible, non-transitory machine-readable medium includes machine-readable instructions that, when executed by one or more processors, cause the one or more processors to receive historical driver data indicative of one or more physiological parameters of one or more drivers during one or more prior driving trips, receive historical position data indicative of a respective position of a respective vehicle driven by the one or more drivers during the one or more prior driving trips, establish a correlation between the historical driver data and the historical position data, and identify one or more low-stress road segments using the correlation between the historical driver data and the historical position data.
Abstract:
A method of determining a physical location for an address. The method includes receiving from a first global positioning system on a vehicle a first set of global positioning data indicative of a vehicle location. The method may also receive from a second global positioning system on a portable electronic device a second set of global positioning data indicative of a portable electronic device location. The method may also receive a set of location metadata associated with a picture. The method determines a residence location from the first set of global positioning data, the second set of global positioning data, or the set of location metadata. The method then associates the physical location to the address.