MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611020918 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Feb. 23, for 'a system for adaptive low-power multimodal biometric attendance and a working method thereof.'
Inventor(s) include Dr. Uma Sharma; Pranjal Saxena; Prince Yadav; Garv Soni; and Prajwal Pandey.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a system for adaptive low-power multimodal biometric attendance and a working method thereof, designed to enable reliable and hygienic attendance marking under power-constrained environments. The system integrates fingerprint verification, facial recognition, and gesture recognition within a single embedded platform, wherein user presence is detected through a capacitive proximity sensor to selectively activate system components. A low-power field programmable gate array performs neural network-based image preprocessing and biometric inference using pre-trained parameters stored locally, thereby enabling offline operation with reduced latency. A microcontroller correlates multimodal biometric outputs and manages attendance logic while dynamically controlling power states. An adaptive power management subsystem ensures transition between active, idle, and sleep modes to minimise energy consumption. The invention provides an energy-efficient, touch-minimised, and scalable biometric attendance solution suitable for educational, industrial, healthcare, and remote deployment scenarios."
Disclaimer: Curated by HT Syndication.
