| Injection molding machine is the main production equipment of injection work piece. It achieves high automation at present. If the mold is attached by the work piece when closed, it can be damaged or occur bulging and casting fin. For real-time detection the running status whether the injection molding machine is working in normal way, the method based on machine vision technology is adopted that can detect the working status of the injection Molding Machine.The detecting system is the embedded system based on machine vision technology. In the machine running process, the image is real-time captured by sensor, and then transferred to the host processor DSP and processed. It is Determined that whether the injection molding machine is working normally according to the rules.The subject includes the following respects:First, on basis of understanding the workflow of the injection molding machine, the detection system functions are analyzed. Then in accordance with the result of analyzing, a measurement system based on machine vision is planned and developed. The plan experimental study is completed.Second, in this thesis, the hardware structure and function of image acquiring is decided. Cushion of sensor data is Realized by means of CPLD and FIFO technology. The tasts are achieved that the hardware design and debugging as well as soft programme.Third, the hardware circuit taking the DSP processing technology as the core is designed, the hardware circuit debugging is completed, image real-time processing is achieved.Forth, The overall software plan is desiged. The image software algorithms are analyzed. The programme including the mean filter and the image preprocessing procedures as well as the image correlation analysis etc. are designed.The experimental research of the image acquisition and processing is achieved in the project of the injection molding machine detection system. It enabled the machine vision technology to obtain the practical application in the detecting facility.
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