What is Machine Vision? What can be used for it

1. What is machine vision?

Machine vision is the use of machines instead of human eyes to make measurements and judgments. The machine vision system refers to the machine vision product (i.e., the image acquisition device, divided into CMOS and CCD) to convert the ingested target into an image signal, transmit it to a dedicated image processing system, obtain the morphological information of the photographed target, and convert it into a digital signal according to the pixel distribution, brightness, color and other information; The image system performs various calculations on these signals to extract the characteristics of the target, and then controls the action of the equipment in the field according to the results of the discrimination.

2. What can machine vision be used for?

Machine vision systems can quickly obtain a large amount of information, and are easy to process automatically, and are easy to integrate with design information and processing control information, therefore, in the modern automated production process, people use machine vision systems are widely used in the fields of working condition monitoring, finished product inspection and quality control. Machine vision systems are characterized by increasing the degree of flexibility and automation of production. In some dangerous working environments that are not suitable for manual work or where artificial vision is difficult to meet the requirements, machine vision is often used to replace artificial vision; At the same time, in the process of mass industrial production, the use of artificial vision to inspect the quality of products is inefficient and the accuracy is not high, and the use of machine vision detection methods can greatly improve the production efficiency and the degree of automation of production.

Moreover, machine vision is easy to realize information integration, which is the basic technology to realize computer integrated manufacturing.

In terms of its detection nature and application scope, machine vision industrial inspection systems are divided into two categories: quantitative and qualitative testing, and each category is divided into different subcategories. Machine vision is active in various applications of industrial inspection, such as printed circuit boards.

visual inspection, automatic flaw detection of steel plate surface, parallelism of large workpieces.

and verticality measurement, container volume or impurity detection, automatic identification and classification of mechanical parts and geometric dimension measurement, etc. In addition, in many situations that are difficult to detect by other methods, the use of machine vision systems can be effectively achieved. The application of machine vision is increasingly replacing people to complete many tasks, which undoubtedly greatly improves the level of production automation and the intelligence level of detection systems.

Machine vision is a branch of artificial intelligence that is developing rapidly. To put it simply, machine vision is a technology that uses a machine to simulate the human vision function, that is, through machine vision products (image acquisition devices, divided into CMOS and CCD), the ingested target is converted into an image signal, transmitted to a dedicated image processing system for various computing and processing to extract information and understand, and finally used for actual identification, detection, measurement and control.

Machine vision can be used for defect detection, quality inspection, dimensional measurement, position measurement, manipulator control, positioning, tracking, etc., and its application fields are very wide, with the participation of machine vision technology in industry, medicine, transportation, science and technology, sports, military and other fields. Among them, machine vision inspection is currently the most advanced detection technology used in product appearance defect detection and quality inspection, which can control product quality to a greater extent for the manufacturing industry, improve work efficiency, reduce production costs, and realize intelligent manufacturing and automated production.

Visual inspection refers to a system that analyzes and recognizes images or objects based on the characteristics and mechanism of the human visual system through computer image processing technology and artificial intelligence algorithms, so as to realize the detection and recognition of objects, scenes, actions and other targets. It is widely used in security monitoring, autonomous driving, smart home, medical diagnosis and other fields.

Visual defect detection technology can be used in a wide variety of industries and fields, some of the main industries include:

Manufacturing: It can be used for quality inspection of products, such as electronic products, auto parts, machinery and equipment, etc.

Pharmaceutical industry: It can be used for the testing and quality control of drugs and medical devices, such as drug appearance inspection, size testing of medical devices, etc.

Food industry: It can be used for the testing and quality control of food, such as fruits, vegetables, meat, biscuits, etc.

Packaging industry: It can be used for packaging inspection and quality control, such as defect detection of packaging bottles, quality inspection of labels, etc.

Environmental protection: It can be used for environmental monitoring and pollutant detection, such as river water quality testing, air pollutant detection, etc.

Agriculture: It can be used for crop pest detection, fruit and vegetable quality testing, etc.

In conclusion, visual defect detection technology can play an important role in many industries, improving product quality and efficiency, and reducing costs and risks.

What we are doing now is machine vision, industrial automation, in order to achieve automatic control, there must be sensors, control centers, execution units, CCD cameras are equivalent to sensors, through the acquisition and processing of images in the area of concern, get useful information, feedback to the control center, and then the control center will give some execution data to the execution unit, such as by the manipulator, PC, CCD, ** acquisition card, these hardware built systems, is a typical industrial machine vision system, Nowadays, the more commonly used machine vision software, Cognex, Halcon, OpenCV...Machine vision will have a great future in the future. Pure hand-typing, hopefully!

Machine vision is a branch of artificial intelligence that is developing rapidly. The concept originated in the field of robotics, where an image of a real object is automatically received and processed through optical devices and non-contact sensors to obtain the required information or a device for controlling robot movement.

Machine vision is a branch of artificial intelligence that is developing rapidly. To put it simply, machine vision is the use of machines instead of human eyes to make measurements and judgments. The machine vision system converts the acquired target into an image signal through machine vision products (i.e., image acquisition device, divided into CMOS and CCD), and sends it to a dedicated image processing system to obtain the morphological information of the photographed target, and converts it into a digital signal according to the pixel distribution, brightness, color and other information; The image system performs various calculations on these signals to extract the characteristics of the target, and then controls the action of the equipment in the field according to the results of the discrimination.

Working principle: the machine vision inspection system uses a CCD camera to convert the detected target into an image signal, transmit it to a dedicated image processing system, and convert it into a digital signal according to the pixel distribution and brightness, color and other information, and the image processing system performs various operations on these signals to extract the characteristics of the target, such as area, quantity, position, length, and then outputs the results according to the preset allowable degree and other conditions, including size, angle, number, qualified and unqualified, whether there is or not, etc., and the automatic identification function is presented.

Machine vision is a branch of artificial intelligence that is developing rapidly. The concept originated in the field of robotics, where optical devices and non-contact sensors automatically receive and process an image of a real object to obtain the required information or a device to control the robot's movement.

Machine vision (computer vision) refers to the use of computer and digital signal processing technology to analyze and process digital images or technology. It has been widely used in many fields, including industrial, medical, security surveillance, military, transportation, entertainment, and more. Here are some common applications of machine vision:

1. Industrial automation: Machine vision technology can be applied to the production line to detect the quality, size, shape, etc. of the product, so as to improve production efficiency and product quality. At the same time, it can also be used for intelligent warehousing, logistics management, etc.

2. Vehicle recognition: Machine vision can be applied to the field of road traffic, used for vehicle identification, vehicle tracking, license plate recognition, etc., which is helpful for traffic management and improving traffic safety.

3. Security monitoring: Machine vision technology can be applied to the field of security, used to monitor people, vehicles, items, etc. in the scene, and realize functions such as intelligent alarm and abnormal behavior detection through image recognition and analysis technology.

4. Medical diagnosis: Machine vision technology can be applied to the medical field for the analysis of medical images, pathological diagnosis, etc., which helps to improve the accuracy and efficiency of medical diagnosis.

5. Face recognition: Machine vision can be applied to the field of face recognition, used for identity verification, access control management, etc., which helps to improve security and management efficiency.

6. Augmented reality: Machine vision technology can be applied to entertainment, advertising and other fields to achieve the effect of augmented reality, so that users can feel the existence of virtual information in real scenes.

7. Autonomous driving: Machine vision can be applied to the field of autonomous driving, such as road condition recognition, obstacle recognition, lane keeping, etc., which helps to improve the safety and reliability of the autonomous driving system.

8. UAV: Machine vision can be applied to the field of UAV, for UAV autonomous navigation, environmental perception, etc., which helps to improve the flight efficiency and safety of UAV.

9. Smart home: Machine vision technology can be applied to the field of smart home for the control and management of smart home devices, such as smart door locks, smart home appliances, etc.

Common application areas of machine vision:

1) Positioning: Now the positioning of more visual functions, usually installed on the robot hand, from the visual to the position of the product, and then the visual coordinate position to the position in the robot coordinate system, and then the robot hand is processing the product.

2) Measurement: Use machine vision for non-contact measurement and accurate measurement, especially for special working scenarios.

3) Detection: Detection is one of the most important applications in the field of machine vision industry, defect detection of products, such as printing inspection by default, whether there are burrs on the product, whether the product is mixed, whether there are stolen scratches on the product, etc.

5) Sorting: In fact, the object sorting application is established in a link after identification and detection, and the image is processed through the machine vision system to achieve sorting. In machine vision industrial applications, it is often used for food sorting, automatic sorting of parts with appearance defects, cotton fiber sorting, etc.

Machine vision is the use of machines instead of human eyes to make measurements and judgments. It is a comprehensive technology, including image processing, mechanical engineering technology, control, electric source illumination, optical imaging, sensors, analog and digital ** technology, computer software and hardware technology (image enhancement and analysis algorithms, image cards, IO cards, etc.). Areas where it can be applied:

1. Manufacturing. Glass bottle defect detection, tightness inspection.

2. Automobile and transportation industry. Dimensional measurement of parts, detection of appearance defects.

3. Medical field. Surface defect detection, damage detection and dimensional measurement of medical devices.

4. Electronic semiconductors. Die soldering inspection.

5. Logistics industry. Fast barcode reading and sorting.

6. Sports. Tournament Judges.

7. Agricultural applications.

8. Aerospace.

9. Machine vision inspection.

Log in to the machine vision product information query platform.

Machine vision is the use of machines instead of human eyes to make measurements and judgments. The machine vision system refers to the machine vision product (i.e., the image acquisition device, divided into CMO and CCD) to convert the acquisition target into a picture carrying crack-image letter stool number, which is transmitted to the image processing system of the special hidden travel, and converted into a digital signal according to the pixel distribution, brightness, color and other information; The image system performs various calculations on these signals to extract the characteristics of the target, and then controls the action of the equipment in the field according to the results of the discrimination.

The machine vision industry will have strong growth for a long time in the future, and the status and role of machine vision will become more and more important as the manufacturing industry upgrades from automation to digitalization and then to intelligence.

As an industrial power, China is expected to release a huge market demand for machine vision systems in the process of industrial upgrading in the future.

For example, in the production process of fabrics, such as cloth quality inspection, such a highly repetitive and intelligent work can only be completed by manual inspection, and a lot of inspection workers can often be seen behind the modern assembly line to perform this process, which increases the huge labor cost and management cost of the enterprise, but still cannot guarantee 100% inspection pass rate (i.e., "zero defect"). Inspecting the quality of cloth is repetitive, error-prone and inefficient.

The assembly line is automatically transformed to make the cloth production line a fast, real-time, accurate and efficient assembly line. On the assembly line, the color and quantity of all fabrics are automatically checked (hereinafter referred to as "cloth inspection"). The automatic recognition technology of machine vision is used to complete the work that was previously done by humans.

In the large-scale cloth inspection, the product quality is inefficient and the accuracy is not high when manually inspected, and the machine vision inspection method can greatly improve the production efficiency and the degree of automation of production.

Why replace artificial vision with machine vision.

There are many reasons for this, but here are a few of the most important ones:

1. From the perspective of production efficiency, because the operator is easy to get tired under long-term work, the quality efficiency of artificial vision is low and the accuracy is not high, while machine vision can greatly improve production efficiency and automation.

2. From the perspective of cost control, training a qualified operator requires enterprise managers to spend a lot of manpower and material resources, but simple training is far from enough, and it takes a lot of time to follow-up to improve the level of operators in practice. Machine vision systems, on the other hand, can be used uninterrupted for a long time without interruption while ensuring production results as long as they are properly designed, commissioned, and operated.

3. In some special industrial environments, artificial vision may pose a threat to the personal safety of operators, and machine vision effectively avoids these risks to some extent.