MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641124513 A) filed by Mlr Institute Of Technology; and Marri Laxman Reddy Institute Of Technology And Management on October 17, 2026, for Facial Emotion Detection System Using Artificial Intelligence Using Artificial Intelligence.
Inventors include Dr. Shaik Mohammad Ilias; Ms. B Akhila; Mr. K Akhil; and Mr. K Shiva Kumar.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: The present invention relates to a facial emotion detection system for identifying and classifying human facial expressions using artificial intelligence, computer vision, and deep learning techniques. The system comprises an image acquisition module configured to receive facial images or video frames from digital imaging devices, a preprocessing module configured to enhance image quality and normalize facial data, a facial detection and feature extraction module configured to identify facial regions and extract relevant facial features, and an emotion classification module configured to classify facial expressions into a plurality of emotional categories comprising happiness, sadness, anger, fear, surprise, disgust, and neutral expression. The emotion classification module employs one or more machine learning or deep learning models, including convolutional neural networks and transfer learning architectures, to generate emotion classification results and corresponding confidence scores. The system further comprises a data management module configured to store detection results and associated metadata, and a visualization interface configured to display emotion classification results and statistical analyses. An optional model updating mechanism enables refinement of the classification model using additional facial expression data. The system is configured for integration with educational, healthcare, customer service, entertainment, and human-computer interaction applications. The invention provides an integrated framework for automated facial expression analysis and emotion classification from facial image data and video streams.
Disclaimer: Curated by HT Syndication.
