Review on grain quantity recognition methods based on computer vision

Abstract

In grain reserve automatic supervision and audit, the inevitable trend is automatic recognition of grain quantity based on computer vision. To the drawbacks of present grain quantity measurement methods, this paper brought forward a new recognition method based on laser and three-dimensional reconstruction for bulk warehouse. It summarized the implementation process of present methods based on image recognition, and analyzed the principle of the method raised by this paper. At last it compared them, and looked into the future of automatic grain quantity recognition.