MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096112 A) filed by Senthamizh Selvi; and Dr. K. Kathiravan on August 08, 2026, for Vision And Ai-Based Pediatric Nutritional Risk Detection System Using Visual And Anthropometric Biomarker Analysis (edge-Based).
Inventors include Dr. S. Senthamizh Selvi; and Dr. K. Kathiravan.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The invention discloses a non-invasive vision and AI-based pediatric nutritional risk detection system that performs real-time screening using visual and anthropometric biomarker analysis. The system includes a high-resolution camera and an embedded edge processor that executes computer-vision and machine-learning algorithms without internet connectivity. Visual biomarkers such as skin pallor, nail color, hair texture, and facial edema are analyzed alongside anthropometric attributes such as height-to-weight ratio, BMI, and physical proportions. A multimodal classifier determines risk levels for various nutritional deficiencies and generates instant health insights for school children. The invention enables scalable and early screening of pediatric malnutrition in school environments.
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