Design of a vision sensor using fuzzy associative database

In this paper a design method is proposed for a potential new camera-based intelligent vision sensor. This sensor can be used for fast multiple planar object recognition. The mechanism behind the design is a fuzzy associative database (FAD) which consists of a fuzzy database (FD) and a fuzzy search engine (FSE). The FSE uses table one to conduct search over table two, both in FD, through a bank of fuzzy associative memory matrix (BFAMM). In fact, the FSE establishes a correspondence between an object and one of the trained classes in table two. Therefore, the FAD could actually ´remember´ the trained objects and the FSE could ´recognize´ the incoming object by comparing it with trained information in the database. The experimental results show that this approach is robust and fast.