It introduces the system design of mechanical hand using embedded speech recognition. The design mainly includes two parts: hardware design and software design.
介绍了利用嵌入式语音识别技术来控制机械手的系统设计过程,包括两部分硬件设计和软件设计。
2
The result indicates that based on CP neural network, the fault pattern recognitionsystem has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.
During the system design, this paper USES the way of orthogonal Fourier-Mellin moments to extract the image feature, and this conducts the reliable recognition of mechanical workpiece.