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)
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
Contact Person:Louis Chan
Position:Senior Project Manager
Tel: 2602 4200
Email: louis@maxsonhk.com
Webpage: www.maxsonhk.com

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