Validating radio frequency identification (RFID) tag alarm events

1. A method of electronic article surveillance (EAS), comprising:

first detecting, by a radio frequency identification (RFID) subsystem of an EAS system, a presence of an RFID tag in an RFID interrogation zone associated with a boundary of a controlled area;

first determining, by the EAS system, that the RFID tag is not authorized to leave the controlled area across the boundary;

second determining, by a radar subsystem of the EAS system and within a first window of time around the first detecting, whether an object in motion is associated with the boundary; and

alarming, by the EAS system, based upon both the determining that the RFID tag is not authorized to leave the controlled area and the determining that the object in motion is associated with the boundary.

2. The method of claim 1 , wherein the radar subsystem is a millimeter wave radar subsystem.

3. The method of claim 1 , wherein the second determining comprises determining that the object either has, or is expected to, cross the boundary out of the controlled area.

4. The method of claim 3 , wherein determining that the object either is expected to cross the boundary out of the controlled area comprises determining a velocity and a direction of motion of the object.

5. The method of claim 4 :

further comprising:

third determining, based on the velocity and the direction of motion, a time when the object is expected to arrive at a second position closer to the boundary than a position of the object at the second determining; and

second detecting, by the RFID subsystem, at the determined time whether the tag is present at the second position;

wherein the alarming is further based on second detecting at the determined time whether the tag is present at the second position.

6. The method of claim 1 , wherein the first window of time is selectable.

7. The method of claim 6 , wherein the selectable window of time is selected using an artificial intelligence subsystem of the EAS system based on a history of the alarming.

8. An electronic article surveillance (EAS) system, comprising:

a radio frequency identification (RFID) subsystem operative to first detect, by a radio frequency identification (RFID) subsystem of an EAS system, a presence of an RFID tag in an RFID interrogation zone associated with a boundary of a controlled area;

a determining subsystem operative to first determine that the RFID tag is not authorized to leave the controlled area across the boundary; and

a radar subsystem operative to second determine, within a first window of time around the first detecting, whether an object in motion is associated with the boundary;

wherein the EAS system is further operative to alarm based upon both the determining that the RFID tag is not authorized to leave the controlled area and the determining that the object in motion is associated with the boundary.

9. The system of claim 8 , wherein the radar subsystem is a millimeter wave radar subsystem.

10. The system of claim 8 , wherein the second determining comprises determining that the object either has, or is expected to, cross the boundary out of the controlled area.

11. The system of claim 10 , wherein determining that the object either is expected to cross the boundary out of the controlled area comprises determining a velocity and a direction of motion of the object.

12. The system of claim 11 :

further comprising:

third determining, based on the velocity and the direction of motion, a time when the object is expected to arrive at a second position closer to the boundary than a position of the object at the second determining; and

second detecting, by the RFID subsystem, at the determined time whether the tag is present at the second position;

wherein the alarming is further based on second detecting at the determined time whether the tag is present at the second position.

13. The system of claim 8 , wherein the first window of time is selectable.

14. The system of claim 13 , wherein the selectable window of time is selected using an artificial intelligence subsystem of the EAS system based on a history of the alarming.