Typical applications of machine vision systems

Because the machine vision system can quickly acquire a large amount of information, and is easy to handle automatically, it is easy to integrate with design information and process control information. Therefore, in the modern automated production process, people widely use machine vision for condition monitoring, product inspection, and quality control. In other fields, the machine vision system is characterized by improving the flexibility and automation of production. In some dangerous working environments that are not suitable for manual work or artificial vision is difficult to meet the requirements, machine vision is often used instead of artificial vision; at the same time in large quantities In the industrial production process, the efficiency of artificial vision inspection of the product is low and the precision is not high. The machine vision inspection method can greatly improve the production efficiency and the automation degree of production. Moreover, machine vision is easy to implement information integration and is the basic technology for achieving computer integrated manufacturing.

In short, with the maturity and development of machine vision technology itself, it can be expected that it will become more and more widely used in modern and future manufacturing enterprises.

Machine vision industrial inspection system is divided into two categories of quantitative and qualitative detection in terms of its detection properties and application scope, and each category is divided into different subcategories. Machine vision is active in various fields of industrial on-line inspection, such as: visual inspection of printed circuit boards, automatic flaw detection on the surface of steel plates, measurement of parallelism and verticality of large-sized workpieces, detection of container volume or impurities, and automatic identification and classification of mechanical parts. Geometry measurement, etc. In addition, machine vision systems can be effectively implemented in many other methods that are difficult to detect. The application of machine vision is increasingly replacing many people to accomplish many tasks, which undoubtedly greatly improves the level of automation of production and the intelligence level of the inspection system.

Application of Machine Vision in Quality Inspection

The machine vision system has been widely used in various aspects of quality inspection. For example, a large workpiece parallelism and verticality measuring instrument using a laser scanning and CCD detection system has a stable collimated laser beam as a measurement baseline, and is equipped with The rotating shaft system rotates the pentagonal prism to scan the reference planes that are parallel or perpendicular to each other, and compares them with all aspects of the large workpiece being tested. In the processing or installation of large workpieces, the confuser can be used to measure the parallelism and perpendicularity between surfaces.

Using the frequency flash as the illumination source, the surface and Chen CCD were used as the detectors of the profile of the rebar profile to realize a dynamic detection system for on-line measurement of geometric parameters of hot-rolled rebar.

Vision technology monitors bearing loads and temperature changes in real time, eliminating the danger of overload and overheating. Passive measurement, which traditionally measures the ball surface to ensure the quality of machining and safe operation, becomes active monitoring.

Using a microwave as a signal source, cracks on the surface of the metal are measured according to the method of the microwave generator emitting different rates of waves. The higher the frequency of the microwave wave, the narrower the crack that can be measured.

In short, there are many similar practical systems.

Instrument panel assembly intelligent integrated test system based on machine vision

The EQ140-II automobile dashboard assembly is an instrument product produced by a certain automobile company in China. The instrument panel is equipped with a speed odometer, water temperature meter, gasoline meter, ammeter, signal alarm lamp, etc. The production volume is large, and it needs to be performed once before leaving the factory. Final inspection of quality. The test items include: detection of indicator error of five meter pointers such as a speedometer; detection of 24 signal warning lights and certain lighting 9 lights whether damaged or missing. Generally, artificial visual inspection method is adopted. The error is large and the reliability is poor. It can not meet the needs of automated production. The intelligent integrated test system based on machine vision has changed the status quo and achieved intelligent, automated, high-precision, and rapid quality inspections of instrument panel assemblies, overcoming various errors caused by manual inspections, and greatly improving detection efficiency. .

The whole system is divided into four parts: an integrated multi-channel standard signal source for providing analog signal sources for the instrument panel, a bi-coordinate CNC system with image information feedback positioning, a camera image acquisition system, and a master-slave parallel processing system .

Metal plate surface automatic control injury system

The surface quality of metal plates such as large power transformer coils, flat wire radios, etc. have high requirements, but the original method of using artificial vision or using dial gauges and needles is not only susceptible to subjective factors, but also May cause new scratches on the test surface. The automatic flaw detection system of the metal plate surface uses machine vision technology to automatically inspect the metal surface defects, and conducts high-speed and accurate inspection during the production process. At the same time, due to the use of non-contact angle measurement, the possibility of new scratches is avoided.

Banknote printing quality inspection system: This system uses image processing technology to compare and analyze various features (numbers, braille, colors, patterns, etc.) of banknotes on the banknote production line to detect the quality of banknotes and replace the traditional human eye. Identifying methods.

Intelligent Traffic Management System: By placing camera heads at traffic lanes, when there are illegal vehicles (such as red lights), the camera shoots the license plate of the vehicle and transmits it to the central management system. The system uses image processing technology to shoot The image is analyzed, the license plate number is extracted, stored in the database, and can be retrieved by management personnel.

Metallographic analysis: The metallographic image analysis system can accurately and objectively analyze the matrix structure, impurity content, and tissue composition of metals or other materials, providing a reliable basis for product quality.

Medical image analysis: automated blood cell counts, chromosome analysis, cancer cell identification, etc.

Bottled beer production line detection system: It can detect whether the beer reaches the standard capacity and the beer tag is complete.