So, for machine vision manufacturers or integrators, how to break through the challenges of technology and environment, how to integrate the Internet of Things, artificial intelligence technology, to enhance the ability of machine vision to a new level? Experts from the field of machine vision and robot technology will hold the “OFweek 2019 Machine Vision Technology and Application Forum” in Shenzhen on June 13 to share the latest application technologies in the field of machine vision. As one of the sub-forums of the “OFweek 2019 China Intelligent Manufacturing Industry Conference”, this forum will bring together machine vision brand enterprises. And integrators, together to pulse the future development trend of the industry.
On the production line, machine vision system is mainly responsible for image acquisition, processing and measurement. It captures product images according to different quality and safety parameters for analysis. Usually, the system includes lighting, lens, image sensor, vision processing and communication equipment. It is a combination of software and hardware, and a high performance machine. Visual systems help to solve complex industrial tasks reliably.
The emergence of 3D machine vision system has brought surprises to recognition. In most cases, the 3D vision system can detect objects in more detail. Whether it is for advanced recognition in detection application or for better object differentiation in measurement application, 3D vision system can bring more advanced functions.
In addition, in terms of hyperspectral imaging and color imaging, hyperspectral technology will allow machine vision to detect spectra beyond visible light in order to obtain more powerful image quality, while color imaging allows advanced color analysis in inspection applications.
So, for machine vision manufacturers or integrators, how to break through the challenges of technology and environment, how to integrate the Internet of Things, artificial intelligence technology, to enhance the ability of machine vision to a new level? Experts from the field of machine vision and robot technology will hold the “OFweek 2019 Machine Vision Technology and Application Forum” in Shenzhen on June 13 to share the latest application technologies in the field of machine vision. As one of the sub-forums of the “OFweek 2019 China Intelligent Manufacturing Industry Conference”, this forum will bring together machine vision brand enterprises. And integrators, together to pulse the future development trend of the industry.
In the tide of intelligent manufacturing, the production line has new requirements for industrial equipment, and the demand for quality inspection and production is increasing. The new generation of machine vision system can process a large amount of information in a few seconds, so fast processing capacity, paving the way for the application of machine vision in many fields.
In recent years, many new technologies have emerged to promote the development of machine vision industry, especially in recognition ability. Recognition has become the core competitiveness of machine vision. Visual recognition function can check the existence or absence of items, and determine whether there are assembly defects. Visual recognition can also be used to locate objects, for example, to locate and grasp objects by robots, or to classify objects automatically.
At present, machine vision is a very important technology in the field of manufacturing quality control, especially in the automobile manufacturing industry, there are a large number of application cases, including automobile parts size, appearance, shape defect detection, and visual guidance positioning. In addition, machine vision systems are needed in packaging and bottling operations in the food industry.
Machine vision plays a key role in future intelligent factories. In the future, automatic production lines will be able to adjust themselves to maximize quality, output and profitability. Intelligent factories will soon move from concept to reality, and new production technologies will provide opportunities to improve overall processes in manufacturing, logistics and warehousing environments.
In addition, the development of in-depth learning plays an important role in promoting machine vision recognition. Through continuous learning of complex object detection and classification technology, machine vision system can collect more knowledge and experience from the surrounding environment, and ultimately achieve autonomous and accurate object recognition. Machine vision recognition is the core process of machine vision application, which pushes machine vision to a brighter future.
The year of the Atmosphere Ten assessment goal is basically completed In addition, the development of robotics industry is also an important factor to promote machine vision. More and more robots use vision to guide industrial application solutions to perform a variety of complex tasks, including automotive, pharmaceutical, packaging, food and beverage solutions.
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