Existing work basically obliges sorting out gatherings of sensor hubs with estimations of a target's developments or precise separation estimations from the hubs to the target, and anticipating those developments. These are, notwithstanding, regularly hard to precisely attain to practically speaking, particularly on account of erratic situations, sensor shortcomings. With a specific end goal to address another following system, called Face Track, which utilizes the hubs of a spatial area encompassing a target, called a face. As opposed to anticipating the target area independently in a face, evaluate the target's moving to an alternate face. An edge recognition calculation to produce each one face further in such a path, to the point that the hubs can get ready in front of the target's moving, which significantly helps following the focus in an auspicious manner and recouping from uncommon cases, e.g., sensor shortcoming, loss of following. The ideal choice calculation to choose which sensors of appearances to question and to forward the following information. Reproduction results, looked at with existing work, demonstrate that Face Track accomplishes better following precision and vitality productivity. I additionally approve its adequacy by means of an evidence of-idea arrangement of the Imote2 sensor stage. © Research India Publications.