REVIEW: traditional industrial production, due to the limitations of science and technology is still the main method of manual inspection to detect defects in the product surface, this method due to the artificial constraints and backward technology, product testing not only slow, inefficient and prone to error in the detection process, resulting in inaccurate test results.
Nowadays, with the deepening of the emergence and development of computer technology, artificial intelligence, science and technology, and research, there has been surface defects based on machine vision inspection technology. Emergence of this technology, greatly improving the efficiency of production operations, to avoid the accuracy due to operating conditions, the subjective judgment affect the test results, to achieve better and more accurate detection of surface defects more quickly identify product defects surface imperfections .
Belonging to a product surface defect detecting machine vision technology, computer vision is to simulate the function of human vision, the image acquisition and processing from the specific kind, calculates the final actual detection, control and application. Defect detection surface of the product is an important part of the machine vision inspection, the accuracy of detection will directly affect the merits of the quality of the final product. Due to the use of manual detection methods already can not meet the needs of modern production and manufacturing processes, and the use of machine vision inspection well overcome this, the surface defect detection system is widely used to promote the company factory production and manufacturing high-quality products the development of intelligent automation.
Surface defect detection system improves the accuracy and efficiency of detection. So, prior to the product surface inspection, there are several steps that require attention.
First, the surface texture of the image to be analyzed is collected by the image collection system;
Second, collected over a step image division processing, so that the product can be like surface defects can be classified according to its unique characteristic region;
Third, further analysis of the target region in the above classification scribe region, so that more accurate and precise range.
After the above three-step process, wherein the product surface defects can be further confirmed and regions, so basically a surface defect detection step is completed.
Automated detection flowchart
Improve user productivity using machine vision technology, making the production of more detailed, clearer division of labor, while reducing the company's labor costs, save money and achieve integrated development of machine intelligence
Machine vision inspection technology which classification?
In order to adapt to today's increasingly rapid development of this society, machine vision inspection technique is essential. Some places in the environment of machine vision in inappropriate human work can replace humans. Machine Vision Technology Category:
(1) In general, machine vision technology in accordance with the detection function can be distinguished: positioning disadvantages detection, counting / loss detection, measurement scale.
(2) Machine vision inspection technique in accordance with which the support device can be divided into: off-line detection system and the detection system.
(3) in accordance with the difference between the detection skill, generally three-dimensional visual inspection skills, mottled detection skills, skills measuring scale, the OCR skills.
Machine vision inspection technique is to eliminate defects, ambiguous, debris or other goods recess shortcomings, the function and performance is critical to ensure that the goods. Therefore now widely used in major professional trade disadvantages detection, detection of scale. The vision system can be detected using a variety of merchandise items, pin detecting system of the electronic component drawbacks visually or offset measurement system visually distinguish the color or shape of syringe components to check for errors and installation.
Machine vision inspection technology in vehicle license plate identification and traffic flow vocational testing, pharmaceutical packaging testing profession, beverage profession's capacity to detect and packaging testing, career tobacco cigarette brand detect and install detection packaging testing, automotive occupations, professional printing Print quality testing, textile career Bupi flaw detection, metal detection screws profession, occupation transport of goods sorting, sorting fruit food professional, professional electronic weld inspection and installation location, occupation steel plate appearance of the shortcomings detected, smart metering, smart metering, etc. are applied.
Machine vision detection technology based on skills disposal of the Machine Vision picture vision inspection skills, to automatically detect all commodities, commodity quality assurance with regard to product quality control has a very important effect, can prevent the outflow of substandard goods, then the progress of the company's core competitiveness . The company has made not only social benefits, its machine vision technology has brought substantial economic benefits for many companies.
No one is inseparable from the factory machine vision
Chen, as the core technology with intelligent visual guidance on aspects of three-dimensional depth study of robot motion control, vision inspection, 3D modeling, etc., and developed a three-dimensional vision-guided robot systems, robot-dimensional visual guidance system, three-dimensional detection system, product appearance detection system can demand customized products based on customer intelligence. Machine Vision provides cost-efficient · · modular approach to automation integrators, automation equipment manufacturers, robot manufacturers related solutions.