MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202621045552 A) filed by Sumeet Ratan Patait; Srushti Umesh Yadav; Hrishikesh Dilip Patil; and Vivek Kalyan Gole on April 09, 2026, for Real Time Face Attendence System Using Ai..
Inventors include Sumeet Ratan Patait; Srushti Umesh Yadav; Hrishikesh Dilip Patil; and Vivek Kalyan Gole.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: l.The Real-Time Face Attendance System is an artificial intelligence-based solution developed to automate and enhance the traditional attendance marking process using facial recognition technology. The system utilizes computer vision and machine learning algorithms to detect, recognize, and verify individuals in real time through a camera interface. It eliminates the need for manual attendance methods, thereby reducing time consumption, human error, and proxy attendance. 2.The system allows users to register their facial data, which is processed using image preprocessing techniques such as face detection, image normalization, and feature extraction. These features are stored in a database and used to train a recognition model capable of identifying individuals accurately. During operation, the system captures live video input, detects faces, and compares them with stored data using trained models to recognize the person. Once identified, the system automatically records attendance along with date and time. 3.The system is designed to perform efficiently under varying conditions such as different lighting environments and facial orientations. It also provides a user-friendly interface for managing attendance records, viewing reports, and tracking presence over time. By integrating real-time processing, intelligent recognition, and automated record management, the system improves reliability, security, and efficiency in attendance monitoring. 4.This solution is highly applicable in educational institutions, offices, and organizations where accurate and secure attendance tracking is essential. The proposed system aims to provide a smart, contactless, and efficient alternative to traditional attendance systems.
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