Computer vision techniques are increasingly being used as alternative methods to conventional inspection and monitoring applications, due to their simplicity and ease of set-up, relative insensitivity to ambient noise, noninvasive means of gathering information on objects without contact, marking or specimen preparations, and the potential for online applicability. The image is sampled at these discrete points in the viewing area. When a light source hits an object, it is reflected to the sensor through appropriate lenses. Although fairly automated, the plastics molding industry still has a large component of its operations carried out manually, especially for medium- and low-volume rates of production.The role of machine vision in providing solutions to manufacturing automation has been recognized by both researchers and engineers in industry. The intensity of the charge at each discrete point in the 2-D array is proportional to the photon energy impinging on that point, determining the brightness or intensity of the light. More advanced algorithms like segmentation, template matching, and character recognition are utilized for ensuring proper print quality. Under such circumstances, it is possible to have a wrongly inserted print template which would result in the rejection of the part. Vision systems provide means by which continuous and autonomous inspection can be achieved during production.

For instance, the placement of print template or metallic parts to be included in the finished product is still done manually. Machine operators occasionally miss or overlook quality issues. The method used to detect improper orientation is based on edge detection and feature identification. In manually operated equipment, this inspection process presents a challenging task because often, after prolonged hours of work, fatigued operators will insert labels inside the molding dies in improper orientation, resulting in rejected parts. For example casting mould,mold making,plastic injection mold etc. An image is typically embedded within a viewing area covered by the video capturing mechanism or sensor. The continuous function h(x,y) must be quantized (or digitized) so that it can be easily processed by computer. In the plastics manufacturing industry, vision applications have been used mainly to inspect the quality of molded parts, especially for Hopper Plastic Dryer missing features or badly formed sections.

The purpose of image acquisition therefore is to capture the optical data and change it to a form that will facilitate convenient and efficient processing using a computer. Therefore the new image data, I(m.This stage is known as processing.Steven ZHAO Machine Vision Applications in Plastics Injection Molding Marketing Articles | September 10, 2008 The application of machine vision techniques that can be applied to automatically detect incorrectly placed labels in a manually loaded injection molding process. These latter quality problems are often not easy to detect in the processing of plastics