MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611056206 A) filed by Greater Noida Institute Of Technology Engineering Institute on May 03, 2026, for Human Detection By Face, Clothes Colour Cues Using Machine Learning.
Inventors include Mr. Nitin; Dr. Vijay Shukla; Dr. Shiv Kant; Shreya Singh; Shakti Singh; Sneha Singh; Shaurya Pratap Singh; Shobhit Verma; Pankaj Sikarwar; Saket Kumar; Rishi Singh; and Vansh Srivastava.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a system and method for detecting human presence using a hybrid approach combining facial detection and clothing color analysis. The system captures visual input, preprocesses image data, and detects facial regions using a convolutional neural network. A clothing region is localized relative to the detected face, and color features are extracted using color space transformations and histogram-based representations. The extracted features are analyzed using machine learning classifiers to distinguish human-related patterns from non-human objects. The system combines outputs from facial detection and color-based classification to generate a final detection result. The invention provides improved robustness under occlusion, pose variation, and environmental changes, while maintaining computational efficiency suitable for real-time applications.
Disclaimer: Curated by HT Syndication.
