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Machine vision technology in industrial automation systems

2026-04-06 04:51:55 · · #1

Industrial Control Summary: Machine vision, as the name suggests, means that machines have "eyes." This has become a reality in the modern technological age. In the past, machines could not obtain production information using "eyes"; instead, human eyes or fixed, simple detection sensors were used to help machines acquire the necessary production information.

With the continuous advancement of science and technology, people's lives are getting better and better, and the pace of factory production is getting faster and faster. Relying solely on human eyes and simple detection sensors can no longer meet current needs. Moreover, production costs are high, failure rates are high, and defect rates are high. Some special production processes simply cannot achieve full automation.

To adapt to the needs of modern society, our company, Amperton Technology Co., Ltd., has conducted secondary development and extensive experiments on existing industrial machine vision systems, and has finally installed a set of intelligent "eyes" on machines. The application of this technology has completely replaced primitive methods such as human eye detection and simple sensor detection.

Functions and advantages of machine vision

Machine vision is widely used across various industries, playing an irreplaceable role, especially in manufacturing. By combining industrial cameras with intelligent software algorithms, machine vision offers a variety of functions, such as workpiece appearance inspection, workpiece dimension measurement, barcode/QR code reading, and workpiece position acquisition. Utilizing these functions, we have developed solutions suitable for various manufacturing processes, which are being widely applied in practice.

After adopting machine vision, production lines have significantly reduced production costs, lowered labor intensity, accelerated production efficiency, and improved production quality. In certain special situations, it has even completely eliminated potential hazards in production. Essentially, the application of machine vision can improve the production efficiency of manufacturing enterprises.

Applications and Case Studies of Machine Vision

Examples of application scope:

1. Defect detection and packaging inspection of red-canned herbal tea and beverage bottles and cans.

2. Liquid medicine capping test

4. Testing of aluminum foil packaging for capsules or granules of medicine

5. Automatic gripping and sorting of parts on the assembly line

6-printer missing print detection

7. Detection of product defects and missing parts

Sorting of 8 products

Specific examples:

Case 1: Beverage Production Plant

A beverage manufacturer upgraded its production line by using machine vision to inspect beverage bottles, cans, caps, labels, and packaging. Defective products are automatically rejected by auxiliary robotic arms. This has replaced manual inspection in some production processes. After a year of operation, the upgraded production line has saved a significant amount of production costs, reduced the labor intensity of workers, and improved production efficiency and product qualification rate, with remarkable results.

Case 2: Auto Parts Processing Plant

A car parts processing plant upgraded its system using machine vision, combining machine vision, six-degree-of-freedom robots, and CNC machine tools for production. By connecting 12 CNC machine tools into an unattended automated production line, the plant significantly reduced production costs, improved work efficiency, achieved a 100% product qualification rate, and generated substantial profits for the company.

Case 3: Toy Factory

A toy factory previously used manual labor in toy assembly, employing 12 workers to assemble a single component. This was because the component had many parts, making manual assembly prone to errors. Therefore, a component quality inspector was added to the assembly line to specifically inspect this component. Later, we upgraded the assembly process, using machine vision to identify and locate parts, then a small robot picks them up and assembles them. This technological upgrade was successful, replacing the 12 assembly workers. It not only improved production efficiency and reduced costs but also ensured product quality, adding a layer of protection to the company's reputation.

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