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[ Hot attention from Chemical Machinery Equipment Network ] Visual technology has a very important position in the artificial intelligence system.
The application of artificial intelligence mainly includes image recognition, speech synthesis, machine translation and other perceptual tasks and industrial application scenarios.
Chemical machinery and equipment network hotspots pay attention to chemical machinery and equipmentThe application of artificial intelligence mainly includes image recognition, speech synthesis, machine translation and other perceptual tasks and industrial application scenarios.
Vision technology can be divided into computer vision and machine vision.
The difference in application scenarios is the most fundamental difference between computer vision and machine vision.
The difference in application scenarios is the most fundamental difference between computer vision and machine vision.
Computer vision simulates the functions of the human eye, and more importantly, enables the computer to perform tasks that the human eye cannot do.
Machine vision is based on the theory of computer vision, focusing on the engineering of computer vision technology, which can automatically acquire and analyze specific images to control corresponding behaviors.
Machine vision is based on the theory of computer vision, focusing on the engineering of computer vision technology, which can automatically acquire and analyze specific images to control corresponding behaviors.
Different from the research of computer vision, such as visual pattern recognition and visual understanding, machine vision technology focuses on perceiving geometric information such as the shape, position, posture, and movement of objects in the environment.
The basic theoretical frameworks, underlying theories, and algorithms of the two are similar, but the final purpose of the research is different.
Therefore, computer vision is generally applicable in general, and machine vision is more used in industry.
The basic theoretical frameworks, underlying theories, and algorithms of the two are similar, but the final purpose of the research is different.
Therefore, computer vision is generally applicable in general, and machine vision is more used in industry.
Computer vision is widely used in landing scenarios and has now expanded to emerging fields such as automobiles, healthcare, retail, robotics, agriculture, drones, and manufacturing.
A typical vision application system includes image capture, light source system, image digitization module, digital image processing module, intelligent judgment and decision-making module, and mechanical control execution module.
Vision technology uses machines to replace human eyes for measurement and judgment, and its precise recognition is more accurate than human eyes.
Especially with the continuous development of deep learning, 3D vision technology, high-precision imaging technology and machine vision interconnection technology, machine vision The performance advantage will be further increased, and the development prospects are promising.
Especially with the continuous development of deep learning, 3D vision technology, high-precision imaging technology and machine vision interconnection technology, machine vision The performance advantage will be further increased, and the development prospects are promising.
Whether it is computational vision or machine vision, it is the development and extension of vision technology, and it is also one of the important frontier branches in the field of artificial intelligence.
As my country's various industries begin to have widespread demand for industrial automation and intelligence using image and vision technology, Vision technology has gradually begun to be applied in the industrial field, and the market scale will be further expanded, ushering in a period of rapid growth.
As my country's various industries begin to have widespread demand for industrial automation and intelligence using image and vision technology, Vision technology has gradually begun to be applied in the industrial field, and the market scale will be further expanded, ushering in a period of rapid growth.
In the future, visual technology will further develop, and it is expected to land in more industries and industries, bring industrial upgrading and transformation, and promote the intelligent development of enterprises.
Original title: Computer vision or machine vision, which one has more prospects for development?
