新闻资讯

News Center

current position: Home > News Center > Industry information

contact usContact Us

Taizhou Taimai Technology Co., Ltd

Mobile phone: 13566801166

Postcode: 318000

Email: ahui.ying@163.com

Address: No.1120, Zone 3, Gaodengbao Mould Base, Luqiao Street, Luqiao District, Taizhou City, Zhejiang Province

What are the advantages of machine vision measurement technology

2022-03-22 09:36:25
times

Today, the development of China's machine vision industry presents a prosperous scene, the total output value of the industry has exceeded one billion, the output value of the related industry is doubled, vision technology has become one of the core technologies in the field of industrial automation. China's machine vision industry is developed with the development of China's industrialization process. In the development process, it has roughly experienced three stages. Sprout, develop, and gradually mature.

 

  

Industrial vision measurement technology (or near digital photogrammetry technology) is a kind of stereo vision measurement technology, the measurement system has simple structure, convenience of mobile, data acquisition, convenient, fast, convenient operation, measuring cost is low, and with the potential of online, real-time 3 d measurement, especially suitable for the three dimensional space point, size or large workpiece contour detection.

At present, the highest accuracy that can be achieved by the use of machine vision measurement technology has reached the submicron level and above, which can meet the accuracy requirements of most automatic production at this stage. The measurement and positioning through the machine vision system can make the production line faster and more efficient.

Machine vision measurement advantages

1. Machine vision measurement adopts advanced subpixel object surface scanning method to meet the needs of high-quality point cloud scanning. System USES high resolution digital industrial camera image data, through the light source in the stripes on the surface of the object, but in a few seconds to obtain any complex surface with dense point cloud (the specific density according to the size of measured object, camera resolution and measuring distance, usually points from 0.05 0.5 mm), the resolution of the system adopts the range from 1.3 million to 5 million pixels, To meet the needs of different customers.

2, machine vision measurement true color object surface reconstruction method, visual measurement equipment system adopts advanced image texture analysis and acquisition technology, in the three-dimensional data reconstruction while maintaining the object surface true color display. This technique retains the true color of the measured object and restores the real physical characteristics of the object to the greatest extent.

3, machine vision measurement automatic stitching method. Image data from different perspectives are automatically assembled in a unified coordinate system based on the texture of the object itself, so as to obtain the overall scanning data of 3D images. When scanning the object with rich texture, the system can complete the stitching function without pasting any reference points on the object surface, which greatly improves the stitching efficiency.

4. The accuracy of the measurement system is the lowest dependence on hardware equipment. The optical calibration module of the whole system adopts ultra-high precision semiconductor process products to maximize the calibration accuracy. In the process of acquisition, the software corrects the error in real time, and also corrects the lens distortion strictly.

5, the machine vision measurement system is simple to set up, easy to use, in the overall development process of the 3D scanner, adhere to the "software can handle, never let the user handle" concept, so that the user set the number of parameters of the whole system to a minimum. During the operation period of the scanning software, the required parameter values can be dynamically calculated in a more accurate way, which not only avoids unnecessary setting work that users manually participate in, but also makes the whole system adapt to a wider range, with a higher degree of automation and a lower possibility of human error.

Recently Viewed:

Related products

news.related_news