MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202621009372 A) filed by Marwadi University, Rajkot, Gujarat, on Jan. 29, for 'self-powered vibration sensor-based intrusion detection system.'
Inventor(s) include Dontharaveni Manikanta; Dr. Madhu Shukla; Simrin Fathima Syed; Vipul Ladva; Dr. Nishant Kothari; Akshay Ranpariya; and Neel Dholakia.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "A self-powered vibration sensor-based intrusion detection system, comprises of a plurality of Triboelectric Nanogenerators 101 to convert mechanical energy to electrical energy with 85% efficiency, a plurality of vibration detecting sensors 102 correspond to (micro-electro-mechanical system) MEMS-based accelerometer for capturing time-series raw vibrations, a machine learning (ML) model for classifying detected vibrations and employs convolutional neural networks (CNN) 109 and long-short term memory (LSTM) 110, a communication module 103 for transmitting the classification to a central/edge gateway, and CNN-LSTM to extract features for classifying detected vibrations as human footsteps, running, vehicle, animal, burrowing and also for determining exact location and direction estimation of human movement."
Disclaimer: Curated by HT Syndication.
