MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042247 A) filed by Chennai Institute Of Technology, Chennai, Tamil Nadu, on April 2, for 'edge-optimized multi-modal biometric fusion and memory-constrained duplicate detection system for secure booth-level electronic voting devices.'
Inventor(s) include Mr. G. Muthupandi; Dr. S. Pavithra; Mrs. Aswathi; Mrs. S. Nishanthini; Mrs. T. Keerthana; Ms. Dharshani S; and Mr. Nandhakumar R.
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 shows an edge-optimized multi-modal biometric fusion and memory-constrained duplicate detector system of a secure electronic voting system at eye level. The system is developed on an embedded platform that is microcontroller-based and can be executed within limited flash memory and processing resources. In order to carry out optimal authentication, it is capable of doing real-time voter authentication using a weighted fusion mechanism of facial, thermal, and physiological biometric input. A memory-conscious duplicate detection module is adopted to facilitate the localized template matching in order to prevent the duplicate registration and multiple votes. The system is offline first with votes encrypted and securely stored locally and delayed synchronization with higher-level systems to which the system is allowed access. The invention includes built-in biometric fusion, indexing, and secure execution control of a scalable and secure electronic voting system, which is suitable in a resou."
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