What is Machine Vision

Machine vision is a system application that uses machines to make measurements and judgments instead of human eyes.

Simply understand machine vision, the initial stage is a technology to replace human vision in the industrial production process to automatically do the inspection of the product shape features (100% full inspection).

What are shape features?

For example: shape recognition; color recognition; high-precision size measurement; positioning/location measurement; surface defect detection; character recognition OCR/OCV; one-dimensional two-dimensional code (1D/2D Code) recognition and so on.

The pursuit of zero-defect, high-quality, value-added products has become the core of the enterprise to deal with competition, in order to win the competition, reliable quality control is indispensable.

Due to the accelerated speed of the production process, the product process is highly integrated, the volume is reduced and the manufacturing precision is improved, the human eye has been unable to meet the needs of many enterprises in the shape of quality control inspection.

Machine vision instead of human vision to automatically detect the product shape characteristics, to achieve 100% online full inspection, has become a solution to the manufacturers of various industries to solve the main trend of high-volume, high-speed and high-precision product inspection.

The industrial chain and industry of machine vision application

The recent development of machine vision technology in industrial automation is constantly updated and iterative, making its position in intelligent manufacturing is also increasingly prominent, promoting the progress of industrial automation, artificial intelligence, intelligent manufacturing and other industries, and bringing more powerful development power for all fields.

1.The core components of the program. The industry chain of machine vision. The industry chain of machine vision covers the following.

1) Basic original technology;

2) Software and hardware components or subsystem development;

3) System integrators or program provision, and derive a series of emerging industries of program providers, agents, retailers;

4) OEM equipment, whole machine developers;

5) Peripheral technology partners;

6) Associations, media and government agencies;

7) End users;

8) Training, consulting, installation and maintenance of machine vision service providers.

2. Application of machine vision industry.

Machine vision applications have been popularized in all walks of production, a large number of industries in the online production, due to a very large number of irreversible chemical reactions, or modern quality management needs of the whole process of monitoring and tracing, etc., the reliance on machine vision technology is becoming increasingly in-depth.

Common inevitable application of the industry is as follows.

1) Electronics/semiconductor: liquid crystal display LCD, keyboards, connectors, anal batteries, printed circuit boards PCB, integrated circuits IC, chips, light-emitting diodes LED, photovoltaic, etc.;.

2) Automotive: parts inspection, assembly, robot guidance, 2D code interpretation, etc.;

3) Textile/Plastic: cloth inspection, injection molding machine, mold monitoring, etc.;

4) Medical/Pharmaceutical: liquid drugs, syringes, packaging, etc.;

5) Hardware: stamping, precision hardware, hardware enclosures, etc;

6) Food: sealing, production information, packaging quality, food safety, etc.;

7) Packaging: caps, bottles, bottle labels, carrier tape, daily chemical products, etc;

8) Printing: books, newspapers and magazines, banknotes, anti-counterfeiting notes, trademarks, cards, electronic devices, etc;

9) Scientific research: teaching laboratory construction, scientific research demonstration projects, etc..