Machine vision information technology enterprises with its rapidity, accuracy, intelligent technology to carry out the advantages has become the first choice for the continuous improvement of the efficiency of the field quality inspection work, especially with the rapid development of China's artificial intelligence, industrial big data and other technologies, the machine vision system technology in the field of automotive service quality inspection is getting more and more widely used.
The application of machine vision in automobile quality inspection
Traditional automotive quality inspection methods mainly rely on manual methods. The quality inspector uses the naked eye or tools to manually inspect the whole car one by one. Due to subjective judgment errors and eye fatigue, manual inspection methods have problems such as unstable inspection quality, difficult to identify defects, and low inspection efficiency.
With the improvement of automation level, some automated inspection equipment has been applied in the field of automotive quality inspection, but still can not meet the automotive industry's growing requirements for quality control. Therefore, visual inspection technology has been widely used in the automotive industry, basically throughout the entire automotive production process, the main application scenarios include process inspection, dimensional inspection, virtual assembly, fault detection and so on.
01Process Inspection
In the production process of automobiles, various production processes such as stamping, welding, painting, spraying, gluing, assembly, etc. are always used and need to be inspected one by one for their effects. Since most of the traditional inspection methods are manual visual inspection, machine vision has been applied to many aspects of process inspection.
Seat belt installation roller for testing: detection of the shaft length over the difference, wheel piece bending, over the groove there is no burr;
Lock assembly inspection: detection of missing parts, type detection; worm gear angle measurement.
Automotive control layout inspection: check panel key assembly, key laser engraving size;
Instrument panel pointer angle detection, indicator color detection.
Fuse detection:with or without spacer, with or without nut fixing;
Engine for detection: machining center position, shape and size of different sizes;
Timing chain position detection; Piston marking direction and position; Cylinder coating detection.
Automobile rearview mirror inspection: detection of lens surface coating pinholes, lens contour, lens chipping, etc..
Automotive signal lamp head appearance inspection: bulb, lamp head online inspection, including bubbles, cracks, dirt, air lines on the bulb, missing top tin on the lamp head, top tin exposure, abrasion, edge filament exposure, solder sludge exposure, dirt, filament angle, lamp head angle, etc.
Oil Seal Appearance Inspection: Inspection includes oil seal height, color, oil seal angle, oil seal spring color, and catheter height.
Brake pads through the flatness of vision technology inspection: the brake pad flatness, the realization of automotive brake pads flatness vision for the inspection system automation, improve the speed of brake pad flatness detection;
Moment vision low code management platform through the brake pad detection
Piston snap ring detection system: can detect whether the snap ring is stuck in place or missing;
Cylinder Liner Appearance Dimension Inspection: Cylinder Liner Appearance Dimension Inspection System includes measurements of dirt, scratches, scuffs, pitting, trachoma, cylinder block surface and bore size.
Automotive tire inspection: capable of detecting sidewall bulges, sidewall dents, sidewall cracks,automotive consulting services small holes in the outer tires, sidewall bubbles, tire characters, etc.
02 Misfit and Leakage Detection
At present, the consistency of automobile product production, especially the consistency of component parameters, is the focus of national supervision.In 2020, the Ministry of Industry and Information Technology (MIIT) conducted supervisory interviews with some enterprises with inconsistent production. Therefore, how to ensure the consistency of the configuration parameters of the actual production of vehicle parts and components with those involved in the declaration of announcements and regular verification has become the focus of attention of enterprises.
Due to the large number of auto parts, the traditional manual inspection method is inefficient and easy to judge errors or omissions, how to use machine vision technology to improve the efficiency of fault detection and leakage detection has become an important application of machine vision in the field of automotive production.
The application of machine vision technology in detecting faulty and leakage assembly mainly includes two ways. One way is to use vision reading technology to read the information of the parts through the vision sensor to realize the traceability of the parts in the production process, and automatically compare with the declared information of the announcement parameters to avoid production errors.
Another inspection method is to take photos of the whole vehicle exterior design through fixed points, and use the machine vision to identify the exterior parts model, color and model configuration, etc., to analyze and compare with the declared parameters of the whole vehicle, to determine whether there can be some parts and components wrongly and omission to install the phenomenon.
Can be connected with the production qualified management system, automatic check production qualified parameters.
Moment vision low coding platform on the human body parts code recognition
In addition, bolts, studs and other key fasteners whether there is leakage assembly is also the focus of the machine vision assembly inspection.
Whether the nuts are detected on the Moment Vision low coding platform.
03 Size Inspection
The whole car body-in-white is the basic information carrier of all parts and components of the automobile enterprise, body-in-white dimensional accuracy requirements can be generated through the direct impact of the body shape, pneumatic performance research and related parts and components installation matching accuracy, etc., so the size of the body-in-white can be controlled is the focus of the quality control of the body.
Traditional body measurement methods include sample frame detection, coordinate detection and online manual detection, but the traditional body measurement methods are inefficient, lack of measurement data, increasing the time cost of automobile production, labor costs.
Machine vision inspection systemscan provide stable and accurate data support for vehicle size inspection, realizing full monitoring and measurement of body size to ensure vehicle quality.
04Virtual assembly
With the gradual increase of automation in the automobile production process, multi-point manual assembly is gradually replaced by industrial robot assembly, how to ensure the assembly accuracy of industrial robots and optimize the assembly process has become the focus of automobile assembly automation.
With the visual measurement and visual guidance characteristics of machine vision technology, machine vision technology gradually penetrates into the whole process of automobile manufacturing, such as guiding robots to carry out optimal matching installation, virtual matching installation and so on.
Through the use of machine vision on the body of the key dimensions and parts of the key dimensions of the information for research and measurement, three-dimensional data management model of the key dimensions of the coordinate system to carry out an intelligent matching, at the same time, we can achieve real-time display of the three-dimensional simulation of the virtual assembly process with the help of the digital twin technology to analyze the body size to meet the requirements of the parts of the installation, such as there is a hole incorrectly or the size of the problem does not effectively and in a timely manner to alert the relevant professionals. Alarm, to remind the relevant professionals for economic and rapid disposal, to avoid a long time to stop the line caused by time and labor costs continue to increase.
At present, machine vision technology has been widely used in various fields of automobile production, greatly improving the automobile production efficiency and quality assurance capabilities.
With the development and maturity of digital twinning, virtual reality and industrial Internet, machine vision technology will be widely used in the future of automotive production, the digitalization of China's automotive industry, network, intelligent level of enhancement will also play a positive role.
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