MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122554 A) filed by Keshav Memorial Institute Of Technology, Hyderabad, Telangana, on Dec. 5, 2025, for 'intelligent system for bird species identification based on acoustic signal analysis.'
Inventor(s) include Dr. Kumbham Bhargavi; Mr. D Srivasthav; Ms. Thati Srinidhi Reddy; Mr. G Srinivas Sairam; and Mr. M Suraj.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "Bird sound classification is a vital advancement in the domain of bioacoustics, facilitating automated monitoring of avian species through acoustic analysis. Leveraging the power of deep learning, the proposed system accurately identifies bird species based on their vocal signatures. The invention employs a Convolutional Neural Network (CNN) architecture trained on spectrogram representations of bird calls, following essential preprocessing steps such as noise reduction, segmentation, and spectrogram generation. Experimental results indicate high accuracy and robustness in distinguishing species from diverse and noisy audio inputs. This innovation enhances large-scale avian monitoring by providing an intelligent, automated framework beneficial to ecological researchers, ornithologists, and biodiversity conservation programs."
Disclaimer: Curated by HT Syndication.
