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This content was submitted directly to this Web site by the supplier.White Paper | January 14, 2008
Machine vision provides a cost-effective plastic sorting system
The plastic recycling industry needs to precisely separate the plastic by category. The purity of each plastic group (PETE, PVC, PP, etc) has a direct correlation to the refund money. Because the product is not consistent throughout the manufacturing industry, manual sorting tasks are performed, but there is a real automation need. See how combining a special lighting technique, a specific camera acquisition mode, the processing of image in color space, and a well synchronized rejection device from National Instruments acts as a viable solution.
The existing techniques for plastic sorting include using x-rays and infrared spectrometers. The advantages of these techniques are to determine the nature of the plastic by the signature in the various wavelengths at a molecular level. But the technology is complex and expensive. The advantage of using machine vision in the visible light domain is a low cost with the capability of using standard machine vision algorithms.