Track: Innovation

Abstract

In most of the imaging applications the camera is placed in outdoor conditions with the lens open to the environment. Example includes cameras installed on the buildings for surveillance, cameras fitted on cars that are open to the environment for ADAS applications, camera for flight passengers to view outside scenes on the fly etc. One of the most challenging problems in such scenarios is that the dust particles may easily form a partially or fully occluding layer on the camera lenses and block vision. There are more challenging scenarios like the presence of wind, rain, mist, sun glare etc. which can also lead to false imaging algorithm results. The purpose of this paper is to solve this problem efficiently by detecting dirt/dust if presents on the lens. This is helpful to stop the system functioning instead of providing misleading results. This application is more essential for safety critical applications like ADAS where the accurate real time detection of objects must happen. Proposed approach has more than one algorithm like edge analysis, inter frame analysis, edge strength analysis etc. to produce accurate result for dust/dirt detection.