The purpose of this paper is realized the intelligent processing system using the neural networks and based on the IBM-PC interface. Generally, many of the factories have newer automation facilities. for example, the mobile factories, clothing manufactories, food processing factories, and the manufacturing process line of semiconductor etc.. In these places, the FA(Factory Automation) are activated. But the field of a primary industry is slowly going on automation. Specially, fish processing industry is required this change.
So in this paper, we propose the intelligent fish head and tail cutting processing system for the automation of fish industry. Neural network is used to predict cutting point of fish head with data of fish length and width. And the output of neural networks is controlled precisely the position of fish cutter. Then this intelligent fish cutting processing system is inspected by IBM-PC interface I/O board, so the operating data (the position of cutter, cutting operation, conveyor of movement, detecting fish) of processing system are monitoring on IBM-PC monitor during the processing time.
This paper shows that the prediction result of cutting point of fish head by neural networks has good performance. And We proposes new monitoring method and control method by the neural networks. This system can be also controlled in remote area or control room by the operator through IBM-PC interface.
We conformed that our study had better performance than conventional one.