Developing a Web-based pattern recognition system for the pattern search of components database by a parallel computing

The research investigates the use of pattern recognition (PR) technologies with associative memory for real-time pattern recognition of engineering components by a parallel computing system. Component patterns are stored in the database system. Their properties and specifications are also attached to the data field of each component pattern except the pattern of engineering component. A distant engineer is able to draw directly the shape of engineering components via the browser, and the recognition system will search for the component database of the company via the Internet. Component patterns with the matching approach of database system will be able to improve the capacity of the recognition system effectively. The recognition system makes use of parallel computing, and it raises the recognition rate of the system. The recognition system is a client-server network structure using the Internet. The system uses a recurrent neural network (RNN) with associative memory to perform training and recognition. The system is being implemented in the Automation Electrical Engineering Company.