The application of expert system is increasingly becoming an area of interest. Since reliability is the key matter for computer technology, fuzzy-logic-expert-system allows knowledge to be simplified by avoiding the knowledge-engineer to forestall the imaginable circumstances. This paper designed an enhanced system for position tracking, motion prediction and face recognition using fuzzy logic. Earlier research indicates that Fuzzy-Logic when applied can track the movement of an entity contrary to a dim environment, in a comparatively low improvement and run-time-costs. This enhanced system, detects and tracks objects using exclusive recognition arrangements against a dim background. This is a vital step to tracking-down the fuzzy-inputs for the motion-prediction. Fuzzy-Inference-System describes the use of correlation to get the midpoints mass of the entities in the image captured via a camera.