AI-assisted Data Submission Analysis System for the Mandatory Energy Efficiency Labelling Scheme (MEELS)

I&T Solution AI-assisted Data Submission Analysis System for the Mandatory Energy Efficiency Labelling Scheme (MEELS)
(REF: S-2103)
Trial Project
Solution Feature
  • High accuracy OCR for printed/handwritten EN/ZH, auto-extracting forms & reports
  • Detects chops & signatures with cross-page consistency check
  • Self-learning from human corrections to boost accuracy
  • Overall accuracy ≥95%, critical fields ≥98%
  • Modular engine integrating validation, vetting & analytics
Trial Application and Expected Outcome
  • Pilot with 100 sample MEELS submissions to test OCR & extraction.
  • Collect officer corrections to trigger self-learning retraining.
  • Integrate via API with EMSD databases for real-time validation.
  • Deploy web-based vetting UI for trial review workflow.
  • Iteratively fine-tune models to reach ≥95% accuracy.
Additional Solution Information AI assisted data submission for MEELS-public.pdf
Info on I&T Solution Provider
Solution Provider:WISIO Technology Limited
Address:Unit 552, 5/F, Building 19W, 19 Science Park West
Contact Person:Jason Sung
Position:CEO
Tel:92866812
Email: info@wisiotech.com
Webpage: https://www.wisiotech.com/

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