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From the perspective of the whole machine vision, it is in a fast reconfiguration period. From the perspective of market analysis, machine vision is not a particularly new field, which has been derived from the earliest image processing to the present. There are many big manufacturers on the market who have done a lot of smart security and traffic.Deeply ploughing, they started not to do machine vision and face recognition. In these industries, many manufacturers are in the same stage of rapid development.
The first is that the giants are doing machine vision, including the evolution of artificial intelligence. They are all open. In China, for example, Huawei, open source ideas for them, how to use open source, Many concepts still have a certain gap with foreign countries. Many open source code is used to package its own use. In fact, from the perspective of the whole idea, the concept of foreign open source is more advanced. Of course, there are reasons behind it. Many companies are basically on the path of open source deployment when submitting artificial intelligence code. The evolution direction of the entire industry is currently in a period of rapid return. The evolution of the entire industry and product technology will have cyclical fluctuations. The machine vision field and computer vision are still in a fast payback period. That is to say, its technology has matured and the market attention is rapidly rising. It is the future. Key products and areas that can be quickly rewarded.
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The development of machine vision inspection systems manufacturers has not been a single application. The software and hardware products of machine vision have gradually become an integral part of all stages of manufacturing, which puts higher requirements on the integration of the system. Industrial automation companies require integrated industrial automation systems that work with test or control systems rather than stand-alone vision applications. In the modern automated production process, machine vision systems are widely used in the field of condition monitoring, finished product inspection and quality control.
With the global manufacturing center shifting to China, the Chinese machine vision market is becoming an important target market for international machine vision manufacturers after North America, Europe and Japan. At present, the Asia-Pacific region including China and Japan accounts for more than 20% of the global total, surpassing Europe and ranking second in the world.
The trend of machine vision
Machine vision can be said to be the lowest level of infrastructure for artificial intelligence. In the application fields of the artificial intelligence industry, the application fields of machine vision are very deep and very numerous. From the perspective of the entire industry chain, China’s artificial intelligence industry is in a period of rapid ecological construction.
China is a big manufacturing country that produces a large number of industrial products every day. Users and manufacturers have higher and higher requirements for product quality. In addition to meeting the performance requirements, they also have a good appearance, that is, good surface quality. However, in the process of manufacturing products, surface defects are often inevitable and are most easily recognized by the human eye. Surface defects of different products have different definitions and types. Generally, surface defects are areas where the surface of the product is not physically or chemically uneven, such as scratches, spots, holes in the surface of the metal, chromatic aberration on the surface of the paper, indentation, glass. Such as non-metallic surface inclusions, damage, stains and so on.
The current machine vision inspection systems manufacturers equipment has been widely used, and all technologies have matured. From the previous labor, it has gradually become machine operation, not only saving time, but also working. The fineness has improved a lot. So, what is the difference between the efficiency and precision of machine vision detection and manual detection?
The system monitors the position of the preform in real time through the photoelectric and encoder. When the bottle reaches the preset position, the system issues a command to illuminate the light source and acquire an image. After the software is processed, a specific signal is returned to the PLC. When the tracking program detects that the product has reached the culling location, the control system notifies the culling agency whether to perform the culling action on the product.
3. Core Advantages
This paper introduces the application of visual inspection equipment in the detection of PET preform defects. The machine vision inspection systems manufacturers has been put into production and use, statistical historical production data, the detection accuracy of the system is about 99.97%, and the missed detection rate is less than 0.1%, which can meet the requirements of online testing. In practical application, the system effectively improves the production efficiency of the production line, reduces the defective rate of production, reduces the production cost for the enterprise, and greatly reduces the safety hazard of the product.
This device uses a reasonable optical structure design to ensure the stability of image acquisition; the application of powerful deep learning technology to more intelligent processing of images; the use of a rotary table on the preform transport platform The structure can ensure the smooth transportation of the preforms; support the analysis of the test data report, which can help the management to understand the production situation in time. This equipment can help customers achieve a higher level of preform quality testing and guarantee the quality of the final product.
The surface defects of products such as cracks, scratches and discoloration are often encountered in industrial production, and these problems are extremely challenging for both manual and machine vision inspection systems manufacturers. The difficulty is that the defects are irregular in shape, low in contrast, and often interfere with the natural texture or pattern on the surface of the product. Therefore, surface defect detection is highly demanding for proper lighting, camera resolution, relative position of the detected component to the industrial camera, complex machine vision algorithms, and the like.
The basic analysis process of machine vision scratch detection is divided into two steps: first, to determine whether there is scratch on the surface of the test product, and secondly, to extract the scratch after determining the presence of scratches on the analyzed image. .
Surface scratches can usually be divided into three categories:
The first type of scratches are easier to recognize from the outside, while grayscale changes The contrast of the surrounding area is also obvious. You can choose a smaller threshold for the defective part to mark directly.
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Berlin-based Carmeq GmbH is part of the Volkswagen Group and requires office updates to give employees greater flexibility in how and where they work. Actincommon was hired to solve this problem, and they gave them an open layout, both for work and for rest.
The new well-lit work space is designed to inspire and increase creativity, and is filled with a range of furniture that can be moved and configured into unlimited settings as needed. The area allows the team to brainstorm, group meetings, or just a comfortable place to get individual employees to do some work.
Site-like furniture offers double-row seats with openings at the ends for storage. The padded design on the back adds comfort, while also helping to reduce sound and add privacy when needed.
In the back, the furniture module can store stools for additional seating.
Innovation agency Nest by Airstream has launched a forward-looking design that focuses on optimization features for the new era.
Automotive designer Bryan Thompson designed a semi-rigid fiberglass structure on the wagon with six windows, a skylight, and a wide front windshield similar to a pair of ski goggles. And a vertical window at the back door that makes the interior bright.
Nest is only 3,400 pounds and is easy to drag.
There are two floor plans to choose from – one with a U-shaped fan that can be converted into a bed and the other with a permanent bed.
There is plenty of storage space and quality lighting, double oven stove, microwave, and even bathroom.