SYSTEM AND METHOD OF DEBRIS DETECTION AND INTEGRITY VALIDATION FOR RIGHT-OF-WAY BASED INFRASTRUCTURE

1 . An imaging device comprising:

a first camera configured to capture images of a first portion of an object of interest, the first camera being directed toward a first direction; and

a processing circuit configured to:

receive data from the first camera;

using a neural network, perform a comparison of a first image captured by the first camera at a first time with a first reference image stored in a library of the processing circuit; and

transmit information of the comparison to a user.

2 . The imaging device of claim 1 , further comprising a second camera configured to capture images of a second portion of the object of interest, the second camera being directed toward a second direction,

wherein the processing circuit is further configured to:

perform a comparison of a second image captured by the second camera at a first time with a second reference image stored in the library of the processing circuit; and

transmit information of the comparison of the second image to a user.

3 . The imaging device of claim 1 , wherein the processing circuit is further configured to:

perform a comparison of a second image captured by the first camera at a second time with the first reference image stored in the library of the processing circuit; and

transmit information of the comparison of the second image to a user.

4 . The imaging device of claim 1 , wherein the object of interest is a power line.

5 . The imaging device of claim 4 , further comprising a magnetic field harvesting power supply configured to obtain power from the power line to power the imaging device.

6 . The device of claim 5 , further comprising a battery that is chargeable by the power obtained by the magnetic field harvesting power supply.

7 . The imaging device of claim 1 , wherein the second direction is opposite the first direction.

8 . The imaging device of claim 1 , further comprising at least one of an RF detector or a microphone, wherein the processing circuit is further configured to receive data from the at least one of the RF detector or the microphone.

9 . The imaging device of claim 1 , further comprising an ozone detector, wherein the processing circuit is further configured to receive data from the ozone detector.

10 . The imaging device of claim 1 , further comprising at least one of an infrared sensor or a thermal sensor, wherein the processing circuit is further configured to receive data from the at least one of the infrared sensor or the thermal sensor.

11 . The imaging device of claim 1 , wherein the processing circuit is further configured to, using the neural network, learn a change and adapt the change into the library.

12 . The imaging device of claim 1 , wherein the neural network comprises a Radial Bases Function neural network.

13 . The imaging device of claim 1 , wherein, in an operational mode, the neural network is configured to provide a warning based on the comparison.

14 . The imaging device of claim 1 , wherein, in a learning mode, the neural network is configured to learn a new difference image.

15 . The imaging device of claim 1 , wherein, based on the comparison, if a difference between the first image and the first reference image is less than a threshold value, then the neural network learns a change and adapts the change into the library.

16 . The imaging device of claim 1 , wherein, based on the comparison, if a difference between the first image and the first reference image is greater than a threshold value, then the processing circuit transmits information of detection of debris to a user.

17 . The imaging device of claim 1 , wherein, based on the comparison, if a difference between the first image and the first reference image is greater than a threshold value, then the processing circuit transmits information of detection of at least one of an arc or a fire to a user.