This paper describes an automatic line detection system which is based on mechanical vision technology to detect the defects of the nitrile gloves’ surface, and mainly discusses the extraction methods and the recognition algorithms about the gloves image features. Finally, the last part gives the methods to design an easy-operation, friendly-interface, full-functions interface software system. The automatic line detection system about nitrile gloves surface defects not only lets the gloves detection line to be automated, but also improves the production efficiency and the quality of the products.

This paper analyzes the characteristics of the PLC and MATLAB, describes the OPC technology and introduces the system structures and procedures which uses the OPC technology to achieve the exchange of data between PLC and MATLAB system. For example, in the plastic tank temperature control system, it mentions the BP neural network PID control algorithm which is applied to the PLC control system by using the MATLAB intelligent controller. The results show that this control method is simple and the control effect is good, much better than the traditional PID control.

The monitor system of liquid interface is analyzed as a time-variant, non-linear and multi-disturbance complex system to keep track of RFID tags pose in the environment. In this work, with the input signal of dispersed pressure information, which is obtained by RFID tags from different density liquid, a decision method for the pressure of liquid interface is proposed base on fuzzy control. The simulation results are be tested by using MATLAB software. The simulation results can be shown from figure that output quantity depends on the input quantity of liquid pressure differential. It can be concluded that the fuzzy control theory is used to determine the liquid level pressure changes.