Throughout the current industrial production, visual technology can be roughly divided into two categories: quality control and auxiliary production. Among them, quality control is to replace manual testing of product dimensions, appearance, etc., and identify defective products. This type of equipment has been widely used in automated production lines both domestically and internationally.
Assisted production refers to the use of visual technology to provide action execution basis for robots, and currently widely used is two-dimensional positioning technology based on monocular vision. However, due to the fact that most production workstations that can use two-dimensional visual positioning can be replaced by mechanical positioning, its cost and complexity are simpler than visual positioning, and only a few occasions have to use visual positioning.

In the process of robot production, most situations that require positioning require providing three-dimensional coordinates, which means that the position of the measured object relative to the robot is uncertain. However, this type of positioning requires a high technical threshold, and despite the existence of such technologies, they have not been widely applied.

With the proposal of Germany's "Industry 4.0" and China's "Made in China 2025" action program released in May 2015, new challenges have been put forward to the manufacturing industry worldwide, namely the construction of "smart factories". The core of intelligent factories is "machine anthropomorphic" production, and visual positioning is an extremely important technology among them. The system allows robots to quickly recognize, locate, guide, and operate.