The demand for machine vision has increased dramatically with the development of automation industry in recent years, which has directly led to the upgrading of visual professional skills and related products. Compared to the visual market of previous years, the related cameras and calculations are changing and upgrading. With the coming of industry 4.0 revolution and the increasing difficulties of industrial needs, the related cameras and algorithms are also seriously upgrading in different aspects. For example, the camera turns to 3D direction, the algorithm is more inclined to intelligent algorithms, and machine-learning requires related algorithms, etc.
This is an evolutionary period of machine vision industry. Embedded vision combined with deep learning and artificial intelligence will continue to flourish traditional manufacturing industries such as life science, self-driving tours, security and agriculture. However, the traditional factory has not changed. This is mainly because of the skills and algorithms’ mature and cost-effective compared to new skills. However, the following aspects will change in the future.
The embedded vision technology
The embedded visual technology with AI visual processing are expected to use widely. “The processing ability is greatly improved, and the memory becomes very cheap,” said John Merva, vice president of Gardasoft llc in North America. Users can choose a very small camera and take advantage of cloud data from many different sources. When you combine these factors with machine learning into a single package, you have embedded vision.
The deep learning technique
This is likely to be a year that machine vision deep learning becomes a truly disruptive skill and will play an important role in dealing with applications that traditional machine vision cannot handle. ATS Automation’s Steve wardell uses vaccine testing as an example. Wardell said: “We check the vaccine in freeze-dried vials, and the results vary greatly each check, depending on how dry they are.” Making a classic test process becomes very challenging because in one actual example, something particle might look very similar to a crack.
The Hyperspectral imaging
With the advancement of short-wave infrared (SWIR) skills, it is now possible to “do some work, for example, through the wings of a composite airline to discover internal shortcomings”, which is suitable for high-speed machine vision applications.
The Smart camera
Compared to traditional inspection systems that separated traditional algorithm and hardware structure, customers are more inclined to use integrated smart cameras. The main reason is that smart cameras are simple to use, easy to install, easy to debug, and it is not exclusive by profession personnel.
The popular of 3D camera
Traditional visual industry uses mainly 2D cameras. But compared to application and inspection that needs deep information, 3D cameras has been widely applied. Although the present 3D camera are still at slow speed. They are much more convenient to extra plane depth information from 2D cameras. However, since the cost of 3D camera is expensive, 2D camera with laser will be frequently adopted.
An uncertain economy trend
The global manufacturing market may slow down. The trading and tariff policies is unstable. The stock market is moving up and down. “The world’s largest economy happens to be the largest market for machine vision products, and there are trading problems,” said Keith Reuben, president of vision group Teledyne Imaging. He called this “the biggest threat to our professional growth, and our profession has been running very well during this decade.”
Although the market environment is not friendly in 2019, it will still fill the gaps in the market with the update of new skills. Compared with the influence of the economic environment, huge market demand is also looking for new skills, new perfection and new treatment. Vision industry is facing a huge potential market. Compared with the visual giants, small and medium-sized enterprises will also develop rapidly, even though they are survival in the cracks, but with regional expansion, they will also survive with a better development.
Started in 2002, Sipotek Technology is located in Shenzhen in China. The company designs and manufactures visual inspection systems with its avant-garde R&D department and a great experience in artificial vision technologies. The Sipotek Technology staff supports customers 360 degrees, from listening to their requests to the development of ambitious machines for quality control.
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Company: Shenzhen Sipotek Technology Co., Ltd
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