Abstract: Provided is a system and method that can simultaneously check if a camera is subjected to lack of focus (e.g., blur), movement, obstruction, improper zoom, improper pan, or the like, using a single reference image. The system does not require deep learning or training thus keeping the system lightweight. In one example, the method may include receiving an image of a scene captured by a camera, applying a filter to the image corresponding to an image attribute of the camera to generate filtered image and applying the filter to a reference image of the scene to generate a filtered reference image, respectively, determining that a quality of the image attribute of the camera has degraded based on a comparison of the filtered image to the filtered reference image, and displaying an alert on a user interface with information about the degradation of the quality of the image attribute.

Abstract: Provided is a system and method that can simultaneously check if a camera is subjected to lack of focus (e.g., blur), movement, obstruction, improper zoom, improper pan, or the like, using a single reference image. The system does not require deep learning or training thus keeping the system lightweight. In one example, the method may include receiving an image of a scene captured by a camera, applying a filter to the image corresponding to an image attribute of the camera to generate filtered image and applying the filter to a reference image of the scene to generate a filtered reference image, respectively, determining that a quality of the image attribute of the camera has degraded based on a comparison of the filtered image to the filtered reference image, and displaying an alert on a user interface with information about the degradation of the quality of the image attribute.