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It is strongly advisable to collect this meaningful article about the in-depth introduction to Vision AI written by BU!

From unlocking mobile phones, payment, and consumption to production applications in factories, the 3D vision has penetrated into every aspect of life. So what exactly is the 3D vision? What role does it play in the vision AI solution of SEER Intelligent?

Today, Zero will be an expert to explain professional technologies to you.

This article takes you to understand 3D vision!

Ⅰ. The technical difference between 3D vision and 2D vision
The biggest difference between 3D vision and 2D vision technology is the type of data processed. In the field of 3D vision, the objects to be processed are usually 3D point cloud data collected by 3D sensors, while 2D vision technology is mainly used to process the information in a flat image. This determines that 3D vision can not only perceive the presence or absence of objects in the scene, but also accurately perceive the distance, size, and orientation of objects from us.

With the RoboView Server algorithm platform, AMR can have a vision that can truly perceive the three-dimensional size information of an object like human eyes, and better realize the functions that 2D vision cannot or finds difficult to achieve.

Ⅱ. How does RoboView realize these functions through 3D vision?
Although 3D imaging technology continues to develop, there is still no 3D sensor that has the advantages of strong resistance to ambient light interference, long imaging distance, high ranging accuracy, high resolution, and low cost.

Therefore, the current application of 3D vision still selects cameras based on specific usage scenarios and budgets, and then customizes algorithm development based on camera imaging results. This high-cost and long-term application mode severely limit the use of 3D vision in actual scenes.

In line with the thinking of supporting non-standard applications with standardized products, RoboView's 3D vision module conducts a summary analysis of past 3D vision non-standard projects. The six basic operating procedures decompose, process, and analyze 3D visual data just like the six basic processes on the production line, and finally get the information we want.

The first step: data collection

The main task of the 3D data collection process is to obtain the 3D information of the scene. The exterior of the process faces 3D sensor interfaces of different brands and models, and the interior is to output 3D visual data in the same format. In this way, the process achieves external integration and internal unity.

The second step: data calibration

The main work of data calibration is to establish the connection between the 3D sensor and the real scene and establish a one-to-one correspondence between the things seen by the 3D sensor and the things existing in the real scene. After completing the data calibration, we can feedback the results analyzed by 3D visual data to the real scene.

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