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        Technical support

        Machine vision systems

        2014-05-10

        Machine vision technology is an important branch of computer science, which combines aspects of optics, mechanics, electronics, computer hardware and software technology, involving computer science, image processing, pattern recognition, artificial intelligence, signal processing, optical-mechanical-electrical integration, and other fields.Starting today, has more than 20 years of history, its features and applications with the development of industrial automation and gradually improve and promote, especially current digital image sensors and CMOS and CCD camera, DSP, FPGA, ARM embedded technologies, image processing and pattern recognition techniques such as fast-growing, greatly promoted the development of machine vision.
        In short, machine vision is the use of machines to replace human eyes to make measurements and judgments.On the Assembly line, to do this kind of measurement and judgment because of fatigue, the differences between individual errors and mistakes, but the machine will tirelessly, stabilize without a pause.In General, machine vision systems including lighting, lenses, cameras and image processing systems.For each application, we need to consider the system and processing of images, color or black and white cameras, detection of target size or detection of a target with or without defects, depending on how much, how high resolution, contrast, such as the need for much.From the functional point of view, a typical machine vision systems can be divided into: image acquisition part, imaging and motion control segments.

        1 object has motion, workpiece positioning detectors detected from the center of view close to the camera system, to send trigger image acquisition part.
        Part 2, image acquisition in accordance with the process established in advance and delay, respectively, to the camera and lighting system gives a start pulse.
        Camera 3, stop the current scan, start a new frame scanning, or before you start the pulse comes to the camera on standby, start the pulse frame scan to start after the arrival.
        4, opened before the camera to start the frame scan exposure bodies exposure times can be set in advance.
        5, another start pulse open lighting lighting opening time should match the camera exposure times.
        6, camera light, start scanning and output a frame image.
        Part 7, image capture from analog video-audio signals through a/d digitizing it, or directly receive digital camera digital video data.
        Part 8, image capture to digital images stored in memory on the processor or computer.
        9, processor for image processing, analysis, identification, obtaining measurements or logic control.
        10, dealing with control lines of action, the results to locate errors, correct movement, and so on.
        From the above workflow can be seen, is a relatively complex system of machine vision.Because most of the system monitor object is moving objects, systems and motion matching and coordinating the action of objects is particularly important, so action time of the parts of the system and processing speed has brought stricter requirements.In some applications, such as robots, flying objects, on the part of the system or the system as a whole will have stringent requirements for weight, volume and power consumption.
        Advantages of machine vision systems are:
        1, non-contact measurement, observer and the observer will not produce any damage, thereby increasing the reliability of the system.
        2, has a wide spectral range, such as the use of infrared measurements that are not visible to the human eye, extended the scope of vision of the human eye.
        3, long term stability, humans difficult to observe the same object for a long time, while machine vision can be as long as measurement, analysis and identification tasks.
        Applications of machine vision systems are widely used.In industry, agriculture, defense, communications, medical, financial, and even sports and entertainment industries have access to a wide range of applications, can be said to have deeper into our lives, every aspect of production and work.

         

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