How to correctly recognize robot positioning technology (1)

As a fast-growing emerging discipline, machine vision is being widely used in more and more fields. In the past, the target was usually identified, tracked, and analyzed with the human eye. Now, due to the development of visual recognition technology, cameras and computers can be used to replace human eyes to achieve a higher degree of automation of production.

With the development of electronic computer science, image processing technology, pattern recognition technology and theory, the practical research and application value of machine vision is being increasingly valued, and it has continuously achieved remarkable results in many fields.

1. Two major applications of vision technology: quality control and auxiliary production

Looking at the current vision technology used in industrial production can be roughly divided into two categories: quality control and auxiliary production. Among them, quality control is to replace the manual inspection of product size and appearance to identify defective products. Such equipment has been widely used in automated production lines at home and abroad.

Assisted production refers to the use of vision technology to provide robots with the basis for action execution. Currently, two-dimensional positioning technology based on monocular vision is commonly used. However, since most of the production stations that can use two-dimensional visual positioning can be replaced by mechanical positioning, the cost and complexity are simpler than visual positioning, and only a few occasions use visual positioning.

1441699245589672.png

In the production process of robots, most of the situations that require positioning need to be given three-dimensional coordinates, which means that the position of the measured object relative to the robot is uncertain. However, the technical requirements for such positioning are relatively high. Despite such technologies, they have not been widely used.

However, with the introduction of German "Industry 4.0" and the action plan of "Made in China 2025" released by China in May 2015, the industry has presented new challenges to the manufacturing industry, namely the construction of "smart factories". The core of the intelligent factory is "machine anthropomorphic" production, and visual positioning is one of the important technologies. As a downstream solution provider with machine vision technology as its core business, Vision Image is clearly in the whirlwind of changing the world's manufacturing landscape. The MV-VS220 binocular system launched by it has been praised by the majority of system integrators and scientific research units due to its developer-oriented sales model.

1441699298239089.png    

How to correctly recognize robot positioning technology (1)

To be continued, this article is original from Microvision, please indicate the source when reprinted.