Abstract: The present invention is for a system and method for determining the proximity of a mobile device to a location without the use of a satellite based or other location awareness system, nor a stationary beacon of any kind. Instead, the mobile device monitors radio frequency broadcast identification codes from nearby mobile devices, and determines if the set of detected identification codes is sufficiently similar to a weighted set of identification codes attributed to specified location. If the calculation of similarity meets the confidence conditions of the system, notification is made that the customer or visitor has arrived. The invention utilizes a combination of confidence interval computation, machine learning, and fault tolerance mechanisms to optimize the success of correctly detecting that the device is near the relevant location.

Abstract: Disclosed are a device and method for providing driver tracking and behavior analysis, initiated without concurrent user input, by the presence detection of one or more drivers of the vehicle. Vehicle motion inferred from a location aware device sensor, as well as other driver smartphone sensors and application use are logged and analyzed to determine risk factors associated with identified drivers. Internet data sources are further utilized for associating road conditions and traffic regulations with the logged locations of the vehicle. Logged and analyzed data from the identified drivers is aggregated for reporting on vehicle risk.

Abstract: The present invention is for a system and method for determining the proximity of a mobile device to a location without the use of a satellite based or other location awareness system, nor a stationary beacon of any kind Instead, the mobile device monitors radio frequency broadcast identification codes from nearby mobile devices, and determines if the set of detected identification codes is sufficiently similar to a weighted set of identification codes attributed to specified location. If the calculation of similarity meets the confidence conditions of the system, notification is made that the customer or visitor has arrived. The invention utilizes a combination of confidence interval computation, machine learning, and fault tolerance mechanisms to optimize the success of correctly detecting that the device is near the relevant location.

Abstract: Disclosed is a system for tracking vehicle locations and accumulating mileage for said vehicles by detecting intervals when said vehicles are in proximity to mobile devices and utilizing the location aware sensors of said mobile devices to determine vehicle locations. Proximity between mobile devices and vehicles is determined by short range data communication identification. Multiple vehicles and drivers may thus be tracked for trip, interval, or overall mileage traveled.

Abstract: The present invention is for a system and method for determining the proximity of a mobile device to a location without the use of a satellite based or other location awareness system, nor a stationary beacon of any kind. Instead, the mobile device monitors radio frequency broadcast identification codes from nearby mobile devices, and determines if the set of detected identification codes is sufficiently similar to a weighted set of identification codes attributed to specified location. If the calculation of similarity meets the confidence conditions of the system, notification is made that the customer or visitor has arrived. The invention utilizes a combination of confidence interval computation, machine learning, and fault tolerance mechanisms to optimize the success of correctly detecting that the device is near the relevant location.

Abstract: Disclosed are a device and method for providing driver tracking and behavior analysis, initiated without concurrent user input, by the presence detection of one or more drivers of the vehicle. Vehicle motion inferred from a location aware device sensor, as well as other driver smartphone sensors and application use are logged and analyzed to determine risk factors associated with identified drivers. Internet data sources are further utilized for associating road conditions and traffic regulations with the logged locations of the vehicle. Logged and analyzed data from the identified drivers is aggregated for reporting on vehicle risk.

Abstract: Disclosed is a device and method for providing service interval notifications to a vehicle operator, and to incorporate relevant vehicle operating conditions which most directly impact the longevity of engine lubrication and other wear prone components of vehicles. Wear prone conditions which are determined include city driving, frequency of “cold” starts, frequency of “winter” “cold” starts, and high load high grade travel. The device and method utilize as a primary input a location aware sensor device and as a secondary input a source for the ambient temperature either retrieved from an Internet source or a local ambient temperature sensor. No direct vehicle sensor is utilized for the service interval adjustment performed by the device and method.

Abstract: The present invention is for a system and method for determining the proximity of a mobile device to a location without the use of a satellite based or other location awareness system, nor a stationary beacon of any kind Instead, the mobile device monitors radio frequency broadcast identification codes from nearby mobile devices, and determines if the set of detected identification codes is sufficiently similar to a weighted set of identification codes attributed to specified location. If the calculation of similarity meets the confidence conditions of the system, notification is made that the customer or visitor has arrived. The invention utilizes a combination of confidence interval computation, machine learning, and fault tolerance mechanisms to optimize the success of correctly detecting that the device is near the relevant location.

Abstract: Disclosed is a system for tracking vehicle locations and accumulating mileage for said vehicles by detecting intervals when said vehicles are in proximity to mobile devices and utilizing the location aware sensors of said mobile devices to determine vehicle locations. Proximity between mobile devices and vehicles is determined by short range data communication identification. Multiple vehicles and drivers may thus be tracked for trip, interval, or overall mileage traveled.

Abstract: Disclosed is a device and method for providing service interval notifications to a vehicle operator, and to incorporate relevant vehicle operating conditions which most directly impact the longevity of engine lubrication and other wear prone components of vehicles. Wear prone conditions which are determined include city driving, frequency of “cold” starts, frequency of “winter” “cold” starts, and high load high grade travel. The device and method utilize as a primary input a location aware sensor device and as a secondary input a source for the ambient temperature either retrieved from an Internet source or a local ambient temperature sensor. No direct vehicle sensor is utilized for the service interval adjustment performed by the device and method.