Example techniques of this disclosure are directed determining one or more values that represent a monitoring attribute for one or more body-worn tracking devices (BWTDs). In some instances, the techniques include determining a compliance metric that represents a level of compliance for at least one offender. That is, the compliance metric may be a quantitative value that represents whether a user wearing BWTD is complying with established rules or desired behaviors.

Systems, methods, and computer-readable media are disclosed for object tracking. An example method may include receiving satellite signals from GPS satellites. The satellite signals may be indicative of satellite locations associated with the one or more GPS satellites and satellite timestamps associated with respective satellite locations. The method may further include determining, based on the satellite signals, a first location associated with a first tracking device. The method may further include receiving a target location associated with a target via a satellite transmission. The method may further include sending the target location to a second tracking device via a mesh network. The method may further include determining that a first distance between the first location and the target location, and the method may further include determining, based on the first distance, one or more actions.

A method for providing location-based notifications on mobile devices is discussed. The method includes determining a first location of user's mobile device based on IP address, GPS signals, Wi-Fi signals, or cellular signals. The method includes accessing data, received by the mobile device responsive to communicating the first location to a server, indicating merchants in an area proximate to the first location. The method includes determining a second location of the mobile device based on other IP address, GPS signals, Wi-Fi signals, and/or cellular signals. The method includes communicating with the server to determine, based on the second location, that the mobile device has crossed into a geofence that includes at least one of the merchants. The method includes effecting, responsive to a determination that the mobile device crossed into the first geofence, a notification on the mobile device indicating at least one of the merchants at the geofence.

An occupant detection device includes: a face area detecting unit for executing a process of detecting a plurality of face areas corresponding to a plurality of faces in an image captured by a camera for capturing an image of a vehicle interior; a first determination unit for determining whether or not, among a plurality of seat areas corresponding to a plurality of seats in the captured image, there is a seat area including two or more face areas; a second determination unit for determining whether or not a duration time of a state where there is a seat area including two or more face areas has exceeded a reference time; and a warning output control unit for executing control for outputting a warning when the duration time exceeds the reference time.

Example techniques of this disclosure are directed determining one or more values that represent a monitoring attribute for one or more body-worn tracking devices (BWTDs). In some instances, the techniques include determining a compliance metric that represents a level of compliance for at least one offender. That is, the compliance metric may be a quantitative value that represents whether a user wearing BWTD is complying with established rules or desired behaviors.

An exemplary virtual boundary system accesses a positioning signal generated by a positioning system. A geolocation for a real-time tracking device is derivable from the positioning signal within a first margin of error. The virtual boundary system also accesses a correction signal generated by a positioning enhancement system and corresponding to the positioning signal generated by the positioning system. Based on the positioning signal and the correction signal, the virtual boundary system determines a refined geolocation of the real-time tracking device relative to a user-specified geographic boundary. The refined geolocation is accurate within a second margin of error that is less than the first margin of error. Corresponding methods and systems are also disclosed.

Systems, methods, and computer-readable media are disclosed for object tracking. An example method may include receiving satellite signals from GPS satellites. The satellite signals may be indicative of satellite locations associated with the one or more GPS satellites and satellite timestamps associated with respective satellite locations. The method may further include determining, based on the satellite signals, a first location associated with a first tracking device. The method may further include receiving a target location associated with a target via a satellite transmission. The method may further include sending the target location to a second tracking device via a mesh network. The method may further include determining that a first distance between the first location and the target location, and the method may further include determining, based on the first distance, one or more actions.

A fully self-contained portable location tracking device autonomously compares a current location with a latitude-longitude map stored in memory. The latitude-longitude map stores guidance zone values indicative of a predetermined safe zone, progressive alert zones, and a predetermined reference point. The guidance zone values represent actions to be taken based upon current location. When initiated by some combination of current location or zone value, location history, and time, or when otherwise queried, the tracking device transmits the offset from reference location, rather than actual current location data, to at least one wireless communications monitoring apparatus. When further security is desired, the transmitted offset is also digitally encrypted or otherwise obfuscated. The monitoring apparatus also stores a copy of the latitude-longitude map and reference point. Using the received offset, the monitoring apparatus knows both the location of the location tracking device and the actions to be taken based upon current location.

An exemplary virtual boundary system determines a refined geolocation of a tracking device based on a positioning signal and a correction signal that are accessed from distinct signal sources. The virtual boundary system compares the refined geolocation of the tracking device and a geographic boundary. Then, based on the comparing of the refined geolocation and the geographic boundary, the virtual boundary system provides an alert indicative of the refined geolocation with respect to the geographic boundary. Corresponding methods and systems are also disclosed.

Eyewear includes a frame and one or more stems extending distally from the frame. One or more processors are disposed within one or more of the frame or the stems, and one or more proximity sensor components are disposed within the stems defining thermal reception beams oriented in a rearward facing direction. Each proximity sensor component can include an infrared signal receiver to receive an infrared emission from an object. The one or more processors can execute a control operation when the proximity sensor components receive the infrared emission from the object.