MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621043399 A) filed by Ranika Kailash Joshi; Vedanshu Sandeep Nakade; Ruchita Anil Kamble; Piyush Nilesh Vyas; and Vishalsinh Vijaysinh Bais, Akola, Maharashtra, on April 5, for 'palm gesture triggered offline face recognition attendance system with web-based registration, centralized cloud analytics, and multi-state visual feedback.'
Inventor(s) include Ranika Kailash Joshi; Vedanshu Sandeep Nakade; Ruchita Anil Kamble; Piyush Nilesh Vyas; and Vishalsinh Vijaysinh Bais.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention describes an intelligent, automated biometric-based attendance system, which includes gesture-based activation, offline face recognition, and cloud-based storage, The system consists of a web-based registration module, a backend processing server, an embedded face recognition unit, and a cloud-based storage unit. A camera sensor is used as a multifunctional device for detecting a specific palm gesture, followed by face image acquisition. The camera sensor is used for detecting a predefined palm gesture, which is used for acquiring facial images, perform face recognition, and uses a light-weight Local Binary Pattern Histogram (LBPH) method for efficient offline face detection, eliminating the need for high-end computational devices or internet connection. The system is equipped with a three-color visual feedback mechanism, which helps user identify different states of the system, such as standby, active, or synchronization states. In addition, the system is capable of detecting multiple faces within a single frame, providing a cost-effective, energy-efficient, and privacy-friendly solution for automated attendance management."
Disclaimer: Curated by HT Syndication.
