Analyzing Health Conditions of Critical Lift/Escalator Components with the use of AI Assisted Image Analytics

I&T Solution Analyzing Health Conditions of Critical Lift/Escalator Components with the use of AI Assisted Image Analytics
(REF: S-1362)
Matched I&T Wish
Trial Project
Solution Feature
  • AI engine to perform 12-components classification
  • AI engine to perform Defect recognition and classification
  • Image collection and Image Data Augmentation
  • AI training and Inference
  • API enabling
Trial Application and Expected Outcome
  • AI engine to perform 12-components classification
  • AI engine to perform Defect recognition and classification
  • Image collection and Image Data Augmentation
  • AI training and Inference
  • API enabling
Additional Solution Information Proposal_VA_EscalatorMonitoring_3.pdf
Info on I&T Solution Provider
Solution Provider:RISKSIS TECHNOLOGY LIMITED
Address:Room 701, Building 10W, Hong Kong Science Park
Contact Person:Alan Lee
Position:Director
Tel:60516869
Email: alan.lee@risksis.com
Webpage: www.risksis.com

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