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In the manufacture of consumer products, quality control is vital. In most cases when dealing with manual processes, the person operating the machine also performs this task. In injection molding, for example, this means ensuring the correct orientation and quality of printing parts and components manufactured. In the manual machine, this inspection process is a challenge, because often after long hours of work, fatigue operators insert labels inside the molding dies in the right direction for parts released. In other cases, because of the heat in the smelting process, where the excess ink on the label material, impressions can be blurred or distorted. Quality Problems machine operators are short on time or ignore. To alleviate this problem for the inspection and operation is now possible to integrate vision systems that will reduce the inspection task for operators, allowing them to focus more on manufacturing processes. Systems vision to provide the means by which continuous self-inspection and can be achieved during production.

The computer vision techniques are becoming increasingly used as alternative methods of inspection and surveillance of conventional applications because of its simplicity and ease of implementation, insensitivity in relation to noise, non-invasive means of gathering information about objects without contact, marking and preparation of specimens, and potential applicability.1 line of "3 The vision has continued to play an important role in the integration of automated manufacturing, both from the point of view quality and inspection For more advanced applications such as motion control and robot guidance. For example, casting molds, mold making, mold parts etc.The plastic injection machine vision automation solutions for manufacturing has been recognized by researchers and engineers in the industry.

In the manufacture of plastics, vision applications have been mainly used to inspect the quality of printing, especially for features sections missing or malformed. Although it is fairly automated, the plastic molding industry always an important component of its operations manual, including rates for medium and low production volume. For example, the investment pattern print or metal parts to be included in the final product remains so manual. In such circumstances it is possible to have a wrong impression that the inserted model would result in the rejection of the room.

In some cases, due to process variations, a piece of special plastic, may have a blurred impression, or fainting. These quality problems that often is not easy to detect in content processing plastics. In this paper, the application of a chip vision system for automatic detection of weak printing or misdirected templates is presented. The method used to detect the wrong orientation is based on edge detection and identification functionality. More advanced algorithms such as segmentation, association and recognition of characters are used to ensure adequate print quality.

To achieve the vision of success, and enforce the use of software, the screen area should be represented in terms of digital image acquisition form.The goal is to capture optical data and change in a way that facilitates easy and effective treatment using a PC. An image is usually built into a display area of the capture mechanism or sensor video. The most common type of trapping mechanism is the device charge-coupled device (CCD). When a light source hits an object, is reflected in the sensor through appropriate lenses. Photons cause electrical charges to be created in the ACT), the generation of analog signals in a 2-D array. The intensity of the load at each discrete point in 2-D box is proportional to the energy of the photons that impinge on that point, the determination of the brightness or intensity of light. Therefore, a optical image is typically 2 h continuous function D (x, y) whose value at any pair of spatial coordinates, represented by the Cartesian coordinate system (x, y) is the intensity of light at this point. The continuous function h (x, y) must be quantized (or digitized) so that it can be easily processed by computer.

The most common method of scanning is a combination of spatial quantization and the amplitude at which divides the display area in a matrix of m by n cells or pixels: M and C are integers. The image is shown at discrete points in the viewing area. Each pixel is then assigned a numerical value that is a digital representation the original analog value. h (x, y). through the analog-digital converter (A / D) system.The digital conversion value depends on the bit resolution of A / D converter, which in turn determines the number of gray levels in which the image can be displayed. Therefore, data from the new image, I (MN). ranging from O (darker or low) and 2 ^ r ^ sup-l. where r is the bit resolution A / D converter.The acquired image, then it must be filtered to remove noise and improve Analysis.This known phase transformation. There are five types of common operational approaches for the initial treatment of pixels.

About the Author:

David ZHENG is the CEO of China Topwin Industry Co., Ltd rc car, rc helicopter, nitro rc car, rc gas boat, remote control helicopter, remote control car, Topwin hobby a specialty trader of a variety of toys and hobby items, such as rc car, rc helicopter, nitro rc car, rc gas boat, remote control helicopter, remote control car etc
http://www.chinatopwin.com

Article Source: ArticlesBase.com – Machine Vision Applications in Plastics Injection Molding

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