3d machine vision system
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24-07-2010, 08:09 AM

please send me more details about 3d machine vision system and its ppt
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26-07-2010, 06:14 PM

Machine vision refers to applications in which the PC automatically makes a decision based on visual input from a camera. It is mainly used in industrial manufacturing in applications such as culling blemished oranges, drug capsule delivery etc. I.e a wide range od applications use it. production metrology applications especially in the electronics area have made use of this . serious measurement tools, color pictures , laser scanning, structured light, stereo viewing, and laser radar and all can fall into the category of application of this technology

2D vs. 3D Machine Vision
The 2D cameras see the length and width whereas the 3D ones see the length, width, and depth of the field. You can take two 2D cameras and mount 90 degrees apart from each other . This may work well for some applications but some parts' depths are hidden from the camera.

3D Machine Vision
In these systems, a specialized high speed camera is used and a project and implimentationed laser line measure the physical deviations of the objects surface like the Volume, Flatness or shape, Density etc . The 3D vision systems have applications in areas such as the Volume, size and shape measurements of baked goods or produce, Completeness of molded parts, Flatness of stamped washers and much more.

for further details and application of this technology, visit this thread too;
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06-03-2013, 04:06 PM


.doc   3D MACHINE VISION.doc (Size: 83.5 KB / Downloads: 17)


Machine vision refers to applications in which the PC automatically makes a decision based on visual input from a camera. Machine vision is a term typically used in industrial manufacturing, where applications range from culling blemished oranges from a conveyor belt to saving lives by inspecting to ensure that the correct drug capsule has been placed in the package before the product is shipped to the pharmacy. Three dimensional vision based measurement systems have made their presence into production metrology applications, notably in the electronics field. However, in the more traditional fields of durable goods now dominated by hard gauges and CMMs, 3D optical systems has been hindered by perceptions and real limitations. This paper will review where 3D vision is today, and what advances have been made to enable more quantitative, shop floor metrology applications. The field of 3D machine vision is a less established field, but one that is actively growing today. Three dimensional vision based measurements have come a long way in the past few years, moving from purely visualization tools that generate attractive color pictures, to serious measurement tools. These 3D systems include laser scanning, structured light, stereo viewing, and laser radar just to name a few.


Modern day durable goods manufacturing have begun to embrace the concepts of digitization as a means to improve productivity and quality. Moving away from expensive hard gages made for specific parts; manufacturers are seeking the means to measure parts in a flexible manner, and capture the resulting measurements by digital means. For higher volume parts, such as from forging or fast machining operations, speed of gauging is still an issue.
This is the area where machine vision based tools start to excel. Machine vision in general has been used for everything from guiding the insertion of electronic chips on circuit boards to inspecting bottles at several per second in bottling lines. A natural extension of machine vision inspection is to provide programmable measurements for machined parts. In many applications, these measurements can be made in two dimensions for which there is an established based of machine vision tools working in the sub-thousandth of an inch range at multiple measurements per second. Each of these methods has their strong points and weak points for a given application.


As has already been stated, the key operational parameters needed for production machine vision include speed, resolution, and robustness especially to changing part surface conditions. Many systems that provide the best resolution are not the fastest, so a tradeoff must be made. Just as with touch probes, there are certain types of features or surfaces that optical 3D methods can be expected to work good on, and others where there may be problems. If has been pointed out that shiny, but not specular surfaces have offered one of the biggest challenges. In like manner, when a surface changes from a shiny area to a dull, many sensors may generate a bias error. In the simple case of triangulation, the measurement is based upon finding the centroid of a light spot of some finite size. If half that spot is on an area that reflects back to the sensor well, and the other half is not, the center of brightness of the spot will not be the geometric center, but rather weighted toward the brighter region. Testing the sensor on edge and surface transition features is a valuable first test to consider (such as in Figure 6).


As with any technology of this nature, the performance changes with the component technology. The primary advance that has made machine vision systems feasible for shop floor gauging applications has been the speed up in computing power. This has brought the processing times from 15 or 20 minutes on an expensive workstation to seconds on a standard PC. The other technologies that are influencing performance today include lower cost, digital cameras than provide better light range and pixel resolution with lower noise, and better light sources such as higher power laser diodes well as higher brightness and resolution LCD project and implimentationors. The consumer market largely influences all of these technologies, which is currently a much bigger driver than any manufacturing support system. However, as system prices decrease and performance improves, there is a wide range of new markets these systems will likely address ranging from dentistry to home 3D pictures.
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07-03-2013, 11:27 AM

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