Machine vision inspection technology is a core pillar of modern industrial automation, capable of replacing human labor in high-risk and highly repetitive special environments. Its mainstream technologies can be clearly categorized according to key dimensions:

(1) In industrial vision inspection systems, machine vision technology can be divided into four standardized modules based on core functional dimensions: high-precision target positioning, intelligent surface defect detection, multi-object counting and missing part verification, and non-contact geometric dimension measurement.
(2) Machine vision inspection technology can be classified according to the carrier of its device into: online inspection system and offline inspection system.
(3) From the perspective of core detection technologies, the main technical branches of the industrial machine vision system mainly include: three-dimensional stereoscopic vision detection technology, surface defect feature extraction technology, high-precision non-contact geometric measurement technology, optical character recognition (OCR) technology, and other directions.

Machine vision inspection technology can accurately identify and eliminate various defects such as surface flaws, feature blur areas, debris residues, and shape depressions on products. It plays a crucial role in ensuring the functional integrity and service performance stability of products. Currently, it has been widely applied on a large scale in the screening of product defects and precise size verification throughout the industry.

The industrial visual inspection system can conduct parallel inspections for multiple projects within a single workstation: for electronic components, it can identify microscopic defects and verify the pin offset; for injection mold irregular parts, it can complete full-profile non-contact topography measurement; for assembly processes, it can achieve intelligent error prevention through color feature matching for misinstallation and reverse installation.

Machine vision inspection technology has been widely implemented on a large scale across all industries: covering traffic license plate recognition and traffic flow statistics, pharmaceutical packaging inspection, beverage liquid level and outer packaging verification, tobacco cigarette label and outer packaging defect screening, automotive key component assembly compliance verification, printing quality control, textile fabric defect identification, full inspection of hardware fasteners, logistics goods sorting, food and fruit grading, electronic solder joint inspection and assembly guidance, steel plate surface defect detection, as well as intelligent meter reading and remote automatic meter reading, etc.

Machine vision inspection technology, relying on an image algorithm system, enables full automation of online product quality inspection. It is the core lever for the quality closed-loop management in the manufacturing process. It can intercept non-conforming products at the source and ensure the consistency of product quality.

After this technology is implemented, enterprises can eliminate the deviations caused by manual inspection. By feeding back the full-volume quality inspection data into process optimization, they can achieve quantifiable benefits in terms of improving product quality and reducing quality inspection costs. Eventually, this will translate into the core competitive advantage of the enterprise and generate clear long-term economic benefits.

Application Examples of Machine Vision Technology
A visual system for detecting the shape and position tolerances of large workpieces adopts a fusion architecture of laser scanning and CCD detection. With a collimated laser as the measurement baseline, the rotating shaft system drives the pentagonal prism to sweep out parallel/vertical reference planes, which are then compared in real time with the surface of the workpiece being measured. This enables high-precision non-contact verification of the parallelism and perpendicularity between surfaces to be completed quickly during the processing and assembly stages.

This scheme breaks through the efficiency bottleneck of traditional contact-type measurement for large-sized workpieces, and the stability of the detection results is much higher than that of manual measurement. It is suitable for the quality inspection requirements of heavy equipment and large structural components.

This equipment, which is used to conduct real-time measurement of the dimensions of hot-rolled threaded steel, is equipped with a high-frequency flash lamp for dedicated lighting, along with two types of CCD cameras - planar array and linear array. It can not only quickly locate the outline position of the entire threaded steel, but also accurately measure the shape dimensions at every point. Even if the steel on the production line is conveyed at high speed and the on-site environment is hot and dusty, it can complete all online measurements of the dimensions without touching the steel, and automatically perform all the measurements without the need for manual line stop for sampling and testing.

This bearing visual monitoring system can non-contactingly and in real-time perceive and track the changes in the dynamic load and temperature field of the bearing. It can proactively identify the risks of overload and overheating. It upgrades the traditional passive quality verification method that relies on post-event inspection of the ball surface to an active state monitoring that covers the entire operation cycle. This way, it can prevent chain failures caused by early abnormal conditions at their source.

This metal surface crack microwave detection system uses microwaves as the excitation signal source. It outputs different baud rates of square waves through the microwave generator to excite the metal defect based on the electromagnetic interaction between microwaves and the metal. The surface and near-surface cracks can be identified. Within the effective penetration depth range, the higher the microwave working frequency, the stronger the detection resolution, and the smaller the detectable crack size.