MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611066960 A) filed by Greater Noida Institute Of Technology; Dr. Anand Kumar Dohare; Mr. Vinay Kumar; Mr. Manish Kumar; Ankur Mall; Anubhav Srivastav; Anuj Sharma; Arnav Guleria; Bhanu Pratap; Dayanand; Gulshan Kumar; and Harsh Kushvanshi on May 28, 2026, for Ai-Based Contactless Attendance Monitoring System Using Facial Recognition.
Inventors include Dr. Anand Kumar Dohare; Mr. Vinay Kumar; Mr. Manish Kumar; Ankur Mall; Anubhav Srivastav; Anuj Sharma; Arnav Guleria; Bhanu Pratap; Dayanand; Gulshan Kumar; and Harsh Kushvanshi.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: AI-BASED CONTACTLESS ATTENDANCE MONITORING SYSTEM USING FACIAL RECOGNITION ABSTRACT The present invention relates to an AI-based contactless attendance monitoring system and method using facial recognition. The system comprises a camera unit configured to capture a live image stream of a monitored area, a memory unit configured to store enrolled facial templates of registered users, a processing unit configured to process captured video frames, and a centralized attendance database. The processing unit detects a human face from the video frames, generates a face region, preprocesses the face region by cropping, resizing, normalization, and image-quality enhancement, and extracts a facial feature vector using a machine-learning-based facial feature extraction model. The extracted facial feature vector is compared with enrolled facial templates to identify a registered user based on a similarity score satisfying a predetermined recognition threshold. Upon identification, the system verifies whether attendance has already been recorded for a predetermined attendance session and automatically records attendance with a date stamp and time stamp, thereby preventing duplicate attendance marking and enabling secure attendance record management and report generation.
Disclaimer: Curated by HT Syndication.
