CNNによる画像認識機能搭載に向けた自動掃除機の研究

抄録

We operate the output of suction motor of automatic vacuum cleaner with input from outside. However,in convolution learning, while the shape of objects are distinguished,the other hand,the amount of dust are not determined. In order to change the output of the turbo machine,another processing is performed in addition to convolution learning. As a result of a created device using image recognition, it was possible to make a sorting on the condition. the basic knowledge for the experimental result of the image recognition is reported to the automatic vacuum cleaner referring to the above mentioned result.