Dynamically sized security monitoring region
A computer-implemented method includes making an analytics-based determination that a water vessel has moved from one region to another region. The computer-implemented method also includes changing, within a security system and responsive to the determining, security monitoring of the water vessel from a first monitoring mode to a second monitoring mode, and the second monitoring mode being more sensitive than the first monitoring mode in relation to a measured velocity of the water vessel being a conditionally defined trigger for at least one analytics-based alarm within the security system.
1. A computer-implemented method comprising:
initially detecting that a water vessel, having a mass and movable over a body of water, is present as a foreground object within at least one Field Of View (FOV) of a respective at least one camera, wherein the body of water is a background object occupying a correspondingly sized first region within the FOV;
carrying out analytics processing on at least one image that includes the water vessel, captured by the camera, to make an analytics-based estimation of the mass of the water vessel;
based at least in part on the analytics-based estimation of the mass of the water vessel, defining vessel-specific boundaries that divide the first region into second and third regions that are sub-regions of the first region, wherein:
the third region corresponds to a part of the body of water that is closer to a protected structure than the second region, and
the protected structure is located at or physically connected to land abutting the body of water;
determining, by analytics and after the defining of the vessel-specific boundaries of the second and third regions, that the water vessel has moved from the second region to the third region; and
responsive to the determining, changing security monitoring of the water vessel, within a security system, from a first monitoring mode to a second monitoring mode,
wherein the second monitoring mode is more sensitive than the first monitoring mode in relation to at least one of a measured velocity of the water vessel and a travel path of the water vessel being a conditionally defined trigger for at least one analytics-based alarm within the security system.
2. The computer-implemented method of claim 1 wherein the water vessel is one of a container ship, a bulk carrier ship, a tanker ship, a passenger ship, a naval ship, an offshore vessel, a fishing vessel, a barge carrier, a research vessel, a timber carrier, and a livestock carrier.
3. The computer-implemented method of claim 1 wherein the carrying out of the analytics processing includes employing at least one learning machine to classify the water vessel based at least in part on object features extracted from the at least one image.
4. The computer-implemented method of claim 3 wherein the analytics-based estimation of mass is obtained by employing a look-up table of a plurality of classified water vessels and corresponding expected masses for the classified water vessels.
5. The computer-implemented method of claim 1 further comprising identifying a detection, while the security system is operating in the second monitoring mode, that the water vessel is moving at an excessive velocity.
6. The computer-implemented method of claim 5 further comprising generating, based on the detection of the water vessel moving at the excessive velocity, a real-time excessive velocity notification.
7. The computer-implemented method of claim 6 further comprising communicating the real-time excessive velocity notification to a speaker or screen of an operator of the security system.
8. The computer-implemented method of claim 6 further comprising communicating the real-time excessive velocity notification over at least one radio wave signal for audible communications receipt by one or more persons present on the water vessel.
9. The computer-implemented method of claim 1 wherein the carrying out analytics processing on the at least one image comprises carrying out video analytics processing on video, and the determining by analytics comprising determining by video analytics.
10. The computer-implemented method of claim 1 wherein the security system calculates the measured velocity of the water vessel by video analytics processing of video captured by the camera.
11. A security system comprising:
at least one camera configured to capture images that include a water vessel; and
at least one processor communicatively coupled to the at least one camera, the at least one processor being configured to carry out a method that includes:
initially detecting that the water vessel, having a mass and movable over a body of water, is present as a foreground object within at least one Field Of View (FOV) of the respective at least one camera, wherein the body of water is a background object occupying a correspondingly sized first region within the FOV;
carrying out analytics processing on at least one image of the images to make an analytics-based estimation of the mass of the water vessel;
based at least in part on the analytics-based estimation of the mass of the water vessel, defining vessel-specific boundaries that divide the first region into second and third regions that are sub-regions of the first region, wherein:
the third region corresponds to a part of the body of water that is closer to a protected structure than the second region, and
the protected structure is located at or physically connected to land abutting the body of water;
determining, by analytics and after the defining of the vessel-specific boundaries of the second and third regions, that the water vessel has moved from the second region to the third region; and
responsive to the determining, changing security monitoring of the water vessel, within the security system, from a first monitoring mode to a second monitoring mode,
wherein the second monitoring mode is more sensitive than the first monitoring mode in relation to at least one of a measured velocity of the water vessel and a travel path of the water vessel being a conditionally defined trigger for at least one analytics-based alarm within the security system.
12. The security system of claim 11 wherein the water vessel is one of a container ship, a bulk carrier ship, a tanker ship, a passenger ship, a naval ship, an offshore vessel, a fishing vessel, a barge carrier, a research vessel, a timber carrier, and a livestock carrier.
13. The security system of claim 11 wherein the carrying out of the analytics processing includes employing at least one learning machine to classify the water vessel based at least in part on object features extracted from the at least one image.
14. The security system of claim 13 wherein the analytics-based estimation of mass is obtained by employing a look-up table of a plurality of classified water vessels and corresponding expected masses for the classified water vessels.
15. The security system of claim 11 wherein the method further includes identifying a detection, while the security system is operating in the second monitoring mode, that the water vessel is moving at an excessive velocity.
16. The security system of claim 15 wherein the method further includes generating, based on the detection of the water vessel moving at the excessive velocity, a real-time excessive velocity notification.
17. The security system of claim 16 further comprising:
a speaker or screen communicatively coupled to the at least one processor, and
wherein the method further includes communicating the real-time excessive velocity notification to the speaker or screen.
18. The security system of claim 16 further comprising a transmitter communicatively coupled to the at least one processor, the transmitter being configured to communicate the real-time excessive velocity notification over at least one radio wave signal for audible communications receipt by one or more persons present on the water vessel.
19. The security system of claim 11 wherein the carrying out analytics processing on the at least one image comprises carrying out video analytics processing on video, and the determining by analytics comprising determining by video analytics.
20. The security system of claim 11 wherein the at least one processor is further configured to calculate the measured velocity of the water vessel by video analytics processing of video captured by the camera.