Visual Tracking Robot Using Computational Sensors in VLSI

Abstract: Self target aiming and pre-processing of visual data is one of the biggest challenges in solving red-world problem using autonomous robots. Conventional methods generally depend on CCD cameras and computers associated with base station which doesn�t implies real world interaction. Our approach attempts to solve this problem by using computational sensors and small/inexpensive embedded processors. The computational sensors are custom designed to reduce the amount of data collected, to extract only relevant information and to present this information to the microcontroller , in a format which minimizes post-processing latency. Consequently, the post-processors are required to perform only high level computation and decision making on given data. The computational sensors, however, have wide applications in many problems that require image pre-processing such as edge detection, motion detection, centroid localization and other spatiotemporal processing. Keywords: Computational sensor, Pre-processing, Motion centroid computation, Weapon identification.