Real-time Production Monitoring for Chinese Pharmacy Based on Convolutional Neural Network
- Resource Type
- Conference
- Authors
- Chen, Mengchi; Huang, Wenjun; Zhang, Yangyang; Lu, Qianpeng; Ge, Louyun; Mi, Junpeng
- Source
- 2019 Chinese Automation Congress (CAC) Chinese Automation Congress (CAC), 2019. :4434-4437 Nov, 2019
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Convolution
Monitoring
Three-dimensional displays
Two dimensional displays
Solid modeling
Optical flow
Feature extraction
extraction monitoring
esterification monitoring
convolution neural work
lightweight model
- Language
- ISSN
- 2688-0938
A deep monitoring architecture for extraction and esterification process monitoring in Chinese Pharmacy production based on convolution neural network is proposed and lightweight model is also researched. Different convolution kernel including 2D convolution, depth-wise convolution and 3D convolution is compared to improve the performance of monitoring. Experimental results show that accuracy of the designed extraction monitoring model is 98.95% using 3D convolution and esterification monitoring mode has the accuracy of 98.68%. Meanwhile, lightweight model using depth-wise convolution can reduce computation while ensuring accuracy.