Localization of a wheelchair in a known but cluttered environment poses many
challenges. There has been lot of e↵ort put by the research community to address
the challenges and develop feasible solutions. Researches have tried to adopt outdoor
navigation approaches in the indoor environment. Developing an accurate indoor
localization system can benefit a large segment of aging population. A camera based
localization method is presented which uses April Tags 1, as Fiducial Markers, to
precisely find the location of wheelchair in a predefined environment. Using o↵
the-shelf web camera and Intel Galileo embedded board, an embedded localization device is developed and an accuracy of ±6 inches is achieved. The development of this project started as a course project in a team of three.