Process Control Prediction using Image Detection with Long Short-Term Memory Neural Network for Cremation Process

I&T Solution	Process Control Prediction using Image Detection with Long Short-Term Memory Neural Network for Cremation Process (REF : S-0242)
Matched I&T Wish
Trial Project
Solution Feature	Using YOLOV3 and LSTM RNN Prediction for Cremation Process Optimization
Trial Application and Expected Outcome	YOLOV3 for Cremator Oven object and feature extraction and modeling image Using YOLOV3 feature data and SCADA Data including emission data for LSTM offline model training Create Realtime Online AI for Image and LSTM control parameter prediction Feed control parameter to SCADA system for process optimization
Info on I&T Solution Provider	Solution Provider : Maxson Co., Ltd. Address : 2/F, Sunley Centre, 9 Wing Yin Street, Tsuen Wan, N.T., HK Contact Person : Louis Chan Position : Senior Project Manager Tel : 2602 4200 Email : louis@maxsonhk.com Webpage : www.maxsonhk.com

For details of the above I&T solution, please contact the I&T solution provider.