The recommended practice outlines a process model that leverages artificial intelligence imaging and data processing technologies for improved emissions information reporting. It provides textile producers with comprehensive data on fabrics, including their origins and metadata. This approach enables stakeholders to purchase only what is needed for specific product cycles, thereby increasing efficiency in supply chain operations and allowing for more accurate emissions reporting. This technology also provides traceability for end users by offering end-to-end information, facilitating increased sustainability by informing the waste typically involved in the textile to garments manufacturing processes. The practice further encourages recording inventory both used and unused to be included in the product life cycle.
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2024-05-22
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
AIDP - Implementing Artificial Intelligence Imaging and Data Process Model for Sustainable Textile Value Chain Operations
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Ren Chyuan Luo
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