MUMBAI, India, Nov. 13 -- Intellectual Property India has published a patent application (202621118519 A) filed by Dr. D. Y. Patil Institute Of Technology, Pimpri, Pune; and Dnyaan Prasad Global University, School Of Technology And Research, Pimpri, Pune on October 04, 2026, for Ai And Iot-Based Multimodal Real-Time Facial Emotion Recognition System Using Deep Learning.
Inventors include Mr. Rajesh Bulbule; Ms. Shruti Sanjay Patil; Ms. Ankita Bhivsen Mhaske; and Ms. Rajeshvari S. Mandwale.
The application for the patent was published on November 13, 2026, under issue no. 46/2026.
Abstract: The present invention relates to an AI and IoT-Based Multimodal Real-Time Facial Emotion Recognition System Using Deep Learning for automated recognition and remote monitoring of human emotional states. The system comprises an image acquisition module configured to capture real-time facial images or video, a pre- processing module, a face detection and feature extraction module, and a deep-learning-based emotion recognition module. The system further incorporates a multimodal and temporal fusion mechanism for combining facial information from successive frames and/or complementary modalities to improve recognition stability and reliability. A confidence estimation module determines the reliability of the recognized emotional state and reduces false or inconsistent predictions. The processed emotion information is optionally analyzed at an edge computing device and transmitted through an IoT communication module to a cloud or remote monitoring platform. The transmitted information may include detected emotion, confidence score, timestamp, device identification, and monitoring status. The remote platform provides real-time visualization, storage, and analysis of emotional patterns and historical trends for authorized users. The proposed invention provides a real-time, scalable, low-latency, and remotely accessible emotion recognition framework applicable to healthcare, education, elderly care, automotive systems, human-computer interaction, robotics, customer service, workplace monitoring, and other applications requiring automated emotional-state monitoring.
Disclaimer: Curated by HT Syndication.
