Machine visualization - SUSTC-XLAB/iFood GitHub Wiki

This part is to establish the machine visualization system.

In this project machine visualization is to Meet other part put forward some of the basic functional requirements, complete the other modules of the system identification, providing feedback information to realize the control system, specific tasks such as identifying whether similar to the door tightly closed, ingredients and whether the container according to established procedures to the designated place, such as whether the system running state, system before a mission in the normal state, etc. And even a warning when unexpected situation.

The problem can be decomposed into two main parts: one is symbol recognization and the other is symbol positioning. We use the ARToolKit library to achieve symbol recognization. We will start from the realization of static image recognition and positioning, and then achieve fast and accurate mark tracking under the input condition of video dynamic image. Else, the symbol positioning is based on binocular vision.

This is what I am doing present: https://blog.csdn.net/drunkpragrammer/article/details/78740055