Geofence selection and modification
A method and system for selecting and modifying a geofence is provided. The method includes registering a physical object with geofence policies of a user. The physical object is tagged with a digital tag comprising information associated with the user respect and geofence policies. Input data indicating a value, an emotional attachment, and a sentiment of the physical object with respect to the t user is received and the physical object is detected via sensors. Reactions of the user with respect to additional physical objects located within a specified geographical boundary surrounding the first user are detected and a resulting classification for the physical object is generated. A geofence policy is selected and it is detected that the physical object has been removed from a geofence for a specified time period threshold. A resulting action associated with detecting that the physical object has been removed from the geofence is executed.
1. A geofence selection and modification method comprising:
registering, by a processor of a hardware device, a physical object with geofence policies of a first user;
tagging, by said processor, said physical object with a digital tag comprising information associated with said user with respect to said geofence policies;
receiving, by said processor, input data indicating a value, an emotional attachment, and a sentiment of said physical object with respect to said first user;
detecting, by said processor via sensors of said hardware device, said physical object;
monitoring, by said processor via said sensors, reactions of said first user with respect to additional physical objects located within a specified geographical boundary surrounding said first user;
generating, by said processor based on analysis of said input data and said reactions of said user, a classification for said physical object;
selecting, by said processor based on said classification, a geofence policy of said geofence policies;
detecting, by said processor via said sensors, that said physical object has been removed from a first geofence for a specified time period threshold, wherein said first geofence is associated with said geofence policy; and
executing, by said processor, an action associated with said detecting that said physical object has been removed from said first geofence, wherein said executing said action comprises:
detecting that said physical object has entered a second geofence associated with said geofence policy;
determining, based on analysis of said digital tag, that said second geofence is associated with a second user associated with said first user;
receiving, from said first user, a disapproval for said physical object to be located within said second geofence; and
modifying said geofence policy to include restrictions for said physical object to restricted from being located within said second geofence.
2. The method of claim 1 , wherein said executing said action further comprises:
receiving, from said first user, an approval for said physical object to be located within said second geofence; and
modifying said geofence policy to include permissions for said physical object to be located within said second geofence.
3. The method of claim 1 , wherein said executing said action further comprises:
determining, based on analysis of said digital tag, that said second geofence is not associated with a user associated with said first user;
generating, an alert indicating that said physical object has entered said second geofence; and
transmitting said alert to said first user and an authoritative entity.
4. The method of claim 1 , wherein said executing said action further comprises:
activating additional sensors within said second geofence;
determining, based on results of said activating, a default geofence policy for said second geofence; and
updating said default geofence policy by retrieving context information of said second geofence and assigning a value indicator to said physical object.
5. The method of claim 1 , wherein said sensors comprise specialized sensors selected from the group consisting of a video camera, an optical sensor, a machine learning model sensor, a reinforcement learning sensor, a vision recognition model sensor, an infrared sensor, and a region convolutional neural network (R-CNN) sensor.
6. The method of claim 1 , wherein said physical object comprises an electrical object of said first user.
7. The method of claim 1 , wherein said physical object comprises a mechanical object of said first user.
8. The method of claim 1 , further comprising:
providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in the control hardware, said code being executed by the computer processor to implement: said registering, said tagging, said receiving, said detecting said physical object, said monitoring, said generating, said selecting, said detecting that said physical object has been removed, and said executing.
9. A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a processor of hardware device implements a geofence selection and modification method, said method comprising:
registering, by said processor, a physical object with geofence policies of a first user;
tagging, by said processor, said physical object with a digital tag comprising information associated with said user with respect to said geofence policies;
receiving, by said processor, input data indicating a value, an emotional attachment, and a sentiment of said physical object with respect to said first user;
detecting, by said processor via sensors of said hardware device, said physical object;
monitoring, by said processor via said sensors, reactions of said first user with respect to additional physical objects located within a specified geographical boundary surrounding said first user;
generating, by said processor based on analysis of said input data and said reactions of said user, a classification for said physical object;
selecting, by said processor based on said classification, a geofence policy of said geofence policies;
detecting, by said processor via said sensors, that said physical object has been removed from a first geofence for a specified time period threshold, wherein said first geofence is associated with said geofence policy; and
executing, by said processor, an action associated with said detecting that said physical object has been removed from said first geofence, wherein said executing said action comprises:
detecting that said physical object has entered a second geofence associated with said geofence policy;
determining, based on analysis of said digital tag, that said second geofence is associated with a second user associated with said first user;
receiving, from said first user, a disapproval for said physical object to be located within said second geofence; and
modifying said geofence policy to include restrictions for said physical object to restricted from being located within said second geofence.
10. The computer program product of claim 9 , wherein said executing said action further comprises:
receiving, from said first user, an approval for said physical object to be located within said second geofence; and
modifying said geofence policy to include permissions for said physical object to be located within said second geofence.
11. The computer program product of claim 9 , wherein said executing said action further comprises:
determining, based on analysis of said digital tag, that said second geofence is not associated with a user associated with said first user;
generating, an alert indicating that said physical object has entered said second geofence; and
transmitting said alert to said first user and an authoritative entity.
12. The computer program product of claim 9 , wherein said executing said action further comprises:
activating additional sensors within said second geofence;
determining, based on results of said activating, a default geofence policy for said second geofence; and
updating said default geofence policy by retrieving context information of said second geofence and assigning a value indicator to said physical object.
13. The computer program product of claim 9 , wherein said sensors comprise specialized sensors selected from the group consisting of a video camera, an optical sensor, a machine learning model sensor, a reinforcement learning sensor, a vision recognition model sensor, an infrared sensor, and a region convolutional neural network (R-CNN) sensor.
14. The computer program product of claim 9 , wherein said physical object comprises an electrical object of said first user.
15. The computer program product of claim 9 , wherein said physical object comprises a mechanical object of said first user.
16. A hardware device comprising a processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the processor implements a geofence selection and modification method comprising:
registering, by said processor, a physical object with geofence policies of a first user;
tagging, by said processor, said physical object with a digital tag comprising information associated with said user with respect to said geofence policies;
receiving, by said processor, input data indicating a value, an emotional attachment, and a sentiment of said physical object with respect to said first user;
detecting, by said processor via sensors of said hardware device, said physical object;
monitoring, by said processor via said sensors, reactions of said first user with respect to additional physical objects located within a specified geographical boundary surrounding said first user;
generating, by said processor based on analysis of said input data and said reactions of said user, a classification for said physical object;
selecting, by said processor based on said classification, a geofence policy of said geofence policies;
detecting, by said processor via said sensors, that said physical object has been removed from a first geofence for a specified time period threshold, wherein said first geofence is associated with said geofence policy; and
executing, by said processor, an action associated with said detecting that said physical object has been removed from said first geofence, wherein said executing said action comprises:
detecting that said physical object has entered a second geofence associated with said geofence policy;
determining, based on analysis of said digital tag, that said second geofence is associated with a second user associated with said first user; and
receiving, from said first user, a disapproval for said physical object to be located within said second geofence;
modifying said geofence policy to include restrictions for said physical object to restricted from being located within said second geofence.
17. The hardware device of claim 16 , wherein said executing said action further comprises:
receiving, from said first user, an approval for said physical object to be located within said second geofence; and
modifying said geofence policy to include permissions for said physical object to be located within said second geofence.