A computer-implemented method for maintaining an air conditioning system, comprising: Capturing (502, 552) image data inside of the air conditioning system, wherein locations for image capture devices are an air handling unit, AHU, and a duct system, and transmitting (504, 554) the image data to a remote location outside of the air conditioning system; processing (506, 508. 510, 556) the image data at the remote location to determine an image delta value, wherein the image delta value represents a change in the image data over a period of time; comparing the image delta value to a threshold value, wherein the threshold value is set based on an evaluation of historic image delta values; transmitting (514, 560) an alert signal over a computer network when the image delta value exceeds the threshold value, wherein (i) the image delta value is determined by comparing a pixel value of the image data to a pixel value of a baseline image, (a) wherein the image delta value represents a difference in pixel value from the baseline image and (b) wherein the pixel value for an image is determined based on an average pixel value associated with a region of interest of the image, wherein the region of interest is a cropped portion of the image associated with a reference object within the region of interest of the air conditioning system, wherein the average pixel value is calculated by summing all pixel values of the pixels in the image and dividing by the number of pixels in the image; and/or (ii) the threshold value is determined using a neural network, wherein the neural network is trained using historic images and collected data, and the method further comprises providing a user interface that identifies a current air conditioning system status based on the image delta value and a predictive analysis status based on the image delta value, wherein the predictive analysis status identifies an anticipated time until degradation of the air conditioning system that will require service using the neural network. Capturing (502, 552) image data inside of the air conditioning system, wherein locations for image capture devices are an air handling unit, AHU, and a duct system, and transmitting (504, 554) the image data to a remote location outside of the air conditioning system; processing (506, 508. 510, 556) the image data at the remote location to determine an image delta value, wherein the image delta value represents a change in the image data over a period of time; comparing the image delta value to a threshold value, wherein the threshold value is set based on an evaluation of historic image delta values; transmitting (514, 560) an alert signal over a computer network when the image delta value exceeds the threshold value, wherein (i) the image delta value is determined by comparing a pixel value of the image data to a pixel value of a baseline image, (a) wherein the image delta value represents a difference in pixel value from the baseline image and (b) wherein the pixel value for an image is determined based on an average pixel value associated with a region of interest of the image, wherein the region of interest is a cropped portion of the image associated with a reference object within the region of interest of the air conditioning system, wherein the average pixel value is calculated by summing all pixel values of the pixels in the image and dividing by the number of pixels in the image; and/or (ii) the threshold value is determined using a neural network, (i) the image delta value is determined by comparing a pixel value of the image data to a pixel value of a baseline image, (a) wherein the image delta value represents a difference in pixel value from the baseline image and (b) wherein the pixel value for an image is determined based on an average pixel value associated with a region of interest of the image, wherein the region of interest is a cropped portion of the image associated with a reference object within the region of interest of the air conditioning system, wherein the average pixel value is calculated by summing all pixel values of the pixels in the image and dividing by the number of pixels in the image; and/or (a) wherein the image delta value represents a difference in pixel value from the baseline image and (b) wherein the pixel value for an image is determined based on an average pixel value associated with a region of interest of the image, wherein the region of interest is a cropped portion of the image associated with a reference object within the region of interest of the air conditioning system, wherein the average pixel value is calculated by summing all pixel values of the pixels in the image and dividing by the number of pixels in the image; and/or (ii) the threshold value is determined using a neural network, wherein the neural network is trained using historic images and collected data, and the method further comprises providing a user interface that identifies a current air conditioning system status based on the image delta value and a predictive analysis status based on the image delta value, wherein the predictive analysis status identifies an anticipated time until degradation of the air conditioning system that will require service using the neural network.