Diet data analysis method, system and device based on intelligent equipment
By using multimodal data acquisition and analysis methods from intelligent devices, the errors in component identification and nutrient estimation in traditional dietary analysis have been solved, enabling accurate identification of dish components and precise calculation of nutrient intake.
Patent Information
- Application Number
- CN202511769586.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-28
- Publication Date
- 2026-02-24
AI Technical Summary
Traditional dietary analysis methods cannot accurately capture the deep physical properties and microscopic components of dishes, and ignore the dynamic interaction process during the user's meal, resulting in large errors in nutritional intake analysis and making it impossible to deduce the original ingredient list and cooking process.
Employing multimodal data acquisition and analysis methods based on intelligent devices, including hyperspectral imaging, 3D structured light scanning, thermal imaging, and intelligent tableware monitoring, combined with a cooking physics simulator for data fusion and traceability analysis, this approach enables accurate identification of food ingredients and nutritional calculations.
It has achieved an over 80% improvement in the accuracy of food ingredient identification, reduced the nutritional estimation error from ±30% to ±5%, and improved the accuracy and authenticity of nutritional intake analysis through dynamic process monitoring.