System and method for monitoring devices relative to a learned geographic area

• US 10,231,084 B2
• Filed: 05/03/2018
• Issued: 03/12/2019
• Est. Priority Date: 08/14/2015
• Status: Active Grant

• Current Assignee: Aeris Communications Inc.
• Original Assignee: Aeris Communications Inc.
• Inventors: Bagchi, Anupam, Chen, Yixiang, Kayama, Fumito, Astagi, Santosh, Johnson, Drew S.
• Primary Examiner(s): Sarwar, Babar
• Application Number:
  US15/970,725
• Publication Number:
  US 20180255428A1
• Time in Patent Office: 313 Days
• Field of Search: 4554042, 4554121-4142, 455418-4221, 455 411- 412, 4555521, 4555561, 4554561-4563, 4554565-457
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]

Abstract

The present invention relates generally to providing a system and method for monitoring devices relative to a learned geographic area using an enablement platform for building web sites and web applications using data storage, management and publication capabilities of hosted web services. The system and method for monitoring M2M devices relative to a learned geographic area (geofence) are built on existing AerCloud concepts by configuring a geofence by using learned location attributes and evaluating geofence parameters and issuing alerts if the devices are performing outside the geofence parameters.

Claims

1. A computer-implemented method for monitoring activity of one or more devices relative to a geofence, the method comprising:

configuring the geofence around a route to be monitored based on the route information for an optimum route with similar end-points, wherein configuring the geo-fence around a route to be monitored comprises;

choosing a set of points along the route to be monitored;

sampling at least two points from the set of points to form a parameterized curve;

calculating parameterized points along the parameterized curve to act as anchor points for perpendiculars along the curve;

calculating two points along each perpendicular at a predetermined distance from the route on either direction; and

joining end points of the perpendiculars to form a polygon to create the geo-fence for the route to be monitored;

receiving device activity information from the one or more devices,

evaluating device activity information based on predetermined geofence parameters relative to the geofence; and

issuing an alert if at least one of the one or more devices is performing outside the geofence parameters.

2. The computer-implemented method of claim 1, wherein the route information for one or more mobile devices comprises one or more of start location of the route, destination location for the route, time of the day for the travel, day of the week for the travel, duration of the travel, distance covered during the travel.

3. The computer-implemented method of claim 1, wherein device activity information from the one or more devices further comprises one or more of location of the device relative to the geofence, time of arrival of the device at a particular location, time of departure of the device from a particular location, speed of the device at a particular location, speed of the device at a particular time or a combination thereof.

4. The computer-implemented method of claim 1, wherein evaluating device activity relative to the geofence based on predetermined geofence parameters comprises comparing values provided by the user for one or more parameters to the values received as the device activity information for that parameter.

5. The computer-implemented method of claim 1, wherein evaluating device activity relative to the geofence based on predetermined geofence parameters comprises evaluating device activity information relative to location information for the one or more devices.

6. The computer-implemented method of claim 5, wherein the location information for the one or more devices is extracted from the device activity information using the learned location attributes.

7. The computer-implemented method of claim 1, wherein the one or more devices comprise a device including a processor, a memory, a communications adapter in communication with a network and a sensor.

8. A system for monitoring activity of one or more devices relative to a geofence comprising an enablement platform for building web sites and web applications using data storage and management capabilities of hosted web services, wherein the web application created by using the enablement platform

receives learned location attributes and configures the geofence, wherein configuring the geo-fence around a route to be monitored comprises:

choosing a set of points along the route to be monitored,

sampling at least two points from the set of points to form a parameterized curve,

calculating parameterized points along the parameterized curve to act as anchor points for perpendiculars along the curve,

calculating two points along each perpendicular at a predetermined distance from the route on either direction, and

joining end points of the perpendiculars to form a polygon to create the geo-fence for the route to be monitored;

receives predetermined parameters for the configured geofence;

tracks one or more devices and their activity relative to the geofence;

evaluates device activity relative to the geofence based on the predetermined geofence parameters; and

issues an alert if at least one of the one or more devices is performing outside the geofence parameters.

9. The system of claim 8, wherein the route information for one or more mobile devices comprises one or more of start location of the route, destination location for the route, time of the day for the travel, day of the week for the travel, duration of the travel, distance covered during the travel.

10. The system of claim 8, wherein device activity information from the one or more devices further comprises one or more of location of the device relative to the geofence, time of arrival of the device at a particular location, time of departure of the device from a particular location, speed of the device at a particular location, speed of the device at a particular time or a combination thereof.

11. The system of claim 8, wherein evaluating device activity relative to the geofence based on the predetermined geofence parameters comprises comparing values provided by the user for one or more parameters to the values received as the device activity information for that parameter.

12. The system of claim 8, wherein evaluating device activity relative to the geofence based on the predetermined geofence parameters comprises evaluating device activity information relative to location information for the one or more devices.

13. The system of claim 12, wherein the location information for the one or more devices is extracted from the device activity information using the learned location attributes.

14. The system of claim 8, wherein the one or more devices comprise a device including a processor, a memory, a communications adapter in communication with a network and a sensor.

15. A computer program product embodied on a non-transitory computer readable medium, comprising computer code which when executed by a computer causes the computer to perform a method for monitoring activity of one or more devices relative to a geofence comprising:

configuring the geofence around a route to be monitored based on the route information for an optimum route with similar end-points, wherein configuring the geo-fence around a route to be monitored comprises;

choosing a set of points along the route to be monitored;

sampling at least two points from the set of points to form a parameterized curve;

calculating parameterized points along the parameterized curve to act as anchor points for perpendiculars along the curve;

calculating two points along each perpendicular at a predetermined distance from the route on either direction; and

joining end points of the perpendiculars to form a polygon to create the geo-fence for the route to be monitored;

receiving device activity information from the one or more devices;

evaluating device activity information based on predetermined geofence parameters relative to the geofence; and

issuing an alert if at least one of the one or more devices is performing outside the geofence parameters.

16. The computer program product of claim 15, wherein the learned location attributes further comprise one or more of a latitude, longitude, altitude or a combination thereof.

17. The computer program product of claim 15, wherein device activity information from the one or more devices further comprises one or more of location of the device relative to the geofence, time of arrival of the device at a particular location, time of departure of the device from a particular location, speed of the device at a particular location, speed of the device at a particular time or a combination thereof.

18. The computer program product of claim 15, wherein evaluating device activity relative to the geofence based on predetermined geofence parameters comprises comparing values provided by the user for one or more parameters to the values received as the device activity information for that parameter.

19. The computer program product of claim 15, wherein evaluating device activity relative to the geofence based on predetermined geofence parameters comprises evaluating device activity information relative to location information for the one or more devices.

20. The computer program product of claim 19, wherein the location information for the one or more devices is extracted from the device activity information using the learned location attributes.

21. The computer program product of claim 15, wherein the one or more devices comprise a device including a processor, a memory, a communications adapter in communication with a network and a sensor.