ABSTRACT
In the time of Covid-19, when social distancing is one of the important solution for avoiding virus infection, human cleaner become the one of the major spreaders of the virus. Also day-by-day human cleaner cost and the number of senior citizens are increasing, autonomous surface cleaner is in demand. It is also useful for the industry places, offices, and other public and private places. Commercial surface cleaners are available in the market with having limited functionality of covering the entire surface area. In addition, these surface cleaners demands a good amount of human efforts. In this paper author proposed design of an efficient autonomous surface cleaner using deep learning and embedded technology. It is having complete area coverage planning and dynamic obstacles avoidance strategies. The prototype of the proposed design is developed and tested in a room area of the domestic environment. It covers the significant surface areas and clean the surface efficiently with minimal human efforts. © 2022 IEEE.