Transportation security apparatus, system, and method to analyze images to detect a threat condition
In a transportation security technique, images are stored that are received from image capturing equipment deployed at respective screening nodes. The images are analyzed using a machine learning model, where presence of a particular object in an image indicates that a threat condition exists at the screening node. The analyzed images are transmitted to threat assessment components in accordance with predetermined criteria. An indication that the particular object is observed in the image is received from the threat assessment components. An indication that the particular object is observed in the image is transmitted to the screening node responsive to receiving the indication that the particular object is observed in the image. An indication of whether the particular object is present at the screening node is received. The machine learning model is trained based on the received indication of whether the particular object is observed in the image.
1. A method comprising:
accessing, by a processor from a memory, images that are received from image capturing equipment deployed at respective screening nodes located at one or more airports;
analyzing, by the processor, the images to identify objects therein, where presence of a particular object in an image is indicative of a threat condition at the screening node at which the image was captured;
transmitting, by the processor, the analyzed images to threat assessment components in accordance with operator selection criteria;
receiving, by the processor from the threat assessment components, an indication that the particular object is observed in the image; and
transmitting, by the processor, an indication that the particular object is observed in the image to the screening node at which the image was captured in response to receiving the indication that the particular object is observed in the image, wherein
the method further comprises receiving, from a covert node, a threat-positive test image that depicts the particular object indicative of the threat condition and is generated as a test for the threat assessment components under controlled conditions at a non-airport facility.
2. The method of claim 1 , further comprising:
transmitting the threat-positive test image to the threat assessment components in accordance with other operator selection criteria;
receiving an indication from the threat assessment components of the presence or absence of the particular object in the threat-positive test image; and
computing a rating for human operators at the respective threat assessment components to which the threat-positive test image was transmitted based on the indication of the presence or absence of the particular object in the threat-positive test image.
3. The method of claim 2 , further comprising:
storing the rating for the human operators in the memory under respective analyst profiles.
4. The method of claim 1 , wherein
the analyzing analyzes the images using a model.
5. The method of claim 4 , further comprising:
applying the model to the images to determine whether the particular object is depicted therein; and
transmitting an indication that the particular object is depicted in the image to one of the screening nodes at which the image was captured in response to the determination that the particular object is depicted in the image according to the model.
6. The method of claim 1 , wherein
the screening nodes are communicatively coupled to the processor through a communications network,
the threat assessment components are communicatively coupled to the processor through the communications network, and
the covert node is communicatively coupled to the processor through the communications network.
7. A non-transitory computer-readable storage medium including computer executable instructions, wherein the instructions, when executed by a computer, cause the computer to perform a method, the method comprising:
accessing, from a memory, images that are received from image capturing equipment deployed at respective screening nodes located at one or more airports;
analyzing the images to identify objects therein, where presence of a particular object in an image is indicative of a threat condition at the screening node at which the image was captured;
transmitting the analyzed images to threat assessment components in accordance with operator selection criteria;
receiving, from the threat assessment components, an indication that the particular object is observed in the image; and
transmitting an indication that the particular object is observed in the image to the screening node at which the image was captured in response to receiving the indication that the particular object is observed in the image, wherein
the method further comprises receiving, from a covert node, a threat-positive test image that depicts the particular object indicative of the threat condition and is generated as a test for the threat assessment components under controlled conditions at a non-airport facility.
8. The non-transitory computer-readable storage medium of claim 7 , further comprising:
transmitting the threat-positive test image to the threat assessment components in accordance with other operator selection criteria;
receiving an indication from the threat assessment components of the presence or absence of the particular object in the threat-positive test image; and
computing a rating for human operators at the respective threat assessment components to which the threat-positive test image was transmitted based on the indication of the presence or absence of the particular object in the threat-positive test image.
9. The non-transitory computer-readable storage medium of claim 8 , further comprising:
storing the rating for the human operators in the memory under respective analyst profiles.
10. The non-transitory computer-readable storage medium of claim 7 , wherein
the analyzing analyzes the images using a model.
11. The non-transitory computer-readable storage medium of claim 10 , further comprising:
applying the model to the images to determine whether the particular object is depicted therein; and
transmitting an indication that the particular object is depicted in the image to one of the screening nodes at which the image was captured in response to the determination that the particular object is depicted in the image according to the model.
12. The non-transitory computer-readable storage medium of claim 7 , wherein
the screening nodes are communicatively coupled to the computer through a communications network,
the threat assessment components are communicatively coupled to the computer through the communications network, and
the covert node is communicatively coupled to the computer through the communications network.
13. An apparatus comprising:
a processor configured to
access, from a memory, images that are received from image capturing equipment deployed at respective screening nodes located at one or more airports,
analyze the images to identify objects therein, where presence of a particular object in an image is indicative of a threat condition at the screening node at which the image was captured,
transmit the analyzed images to threat assessment components in accordance with operator selection criteria,
receive, from the threat assessment components, an indication that the particular object is observed in the image, and
transmit an indication that the particular object is observed in the image to the screening node at which the image was captured in response to receiving the indication that the particular object is observed in the image, wherein
the processor is further configured to receive, from a covert node, a threat-positive test image that depicts the particular object indicative of the threat condition and is generated as a test for the threat assessment components under controlled conditions at a non-airport facility.
14. The apparatus of claim 13 , wherein the processor is further configured to:
transmit the threat-positive test image to the threat assessment components in accordance with other operator selection criteria,
receive an indication from the threat assessment components of the presence or absence of the particular object in the threat-positive test image, and
compute a rating for human operators at the respective threat assessment components to which the threat-positive test image was transmitted based on the indication of the presence or absence of the particular object in the threat-positive test image.
15. The apparatus of claim 14 , wherein the processor is further configured to:
store the rating for the human operators in the memory under respective analyst profiles.
16. The apparatus of claim 13 , wherein the processor is configured to analyze the images using a model.
17. The apparatus of claim 16 , wherein the processor is further configured to:
apply the model to the images to determine whether the particular object is depicted therein, and
transmit an indication that the particular object is depicted in the image to one of the screening nodes at which the image was captured in response to the determination that the particular object is depicted in the image according to the model.
18. The apparatus of claim 13 , wherein
the screening nodes are communicatively coupled to the processor through a communications network,
the threat assessment components are communicatively coupled to the processor through the communications network, and
the covert node is communicatively coupled to the processor through the communications network.