MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202621052351 A) filed by Varad Vasudeo Khedkar; Gautam Subodh Pise; Shivaji Mallappa Rathod; Harshal Parshuram Khade; Prof. Smita Bhagwat; Prof. Radhika Kulkarni; Prof. Snehal Khajurgi; Prof. Jyoti Yadav; and Prof. Rashmi Kale on April 24, 2026, for Aidas- Adaptive Intelligent Deterrence And Aversion System For Species- Specific Avian Pest Control Using On-Device Machine Learning, Bioacoustic Resonance Inversion, And Federated Reinforcement Learning.
Inventors include Varad Vasudeo Khedkar; Gautam Subodh Pise; Shivaji Mallappa Rathod; Harshal Parshuram Khade; Prof. Smita Bhagwat; Prof. Radhika Kulkarni; Prof Snehal Khajurgi; Prof. Jyoti Yadav; and Prof. Rashmi Kale.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses AIDAS (Adaptive Intelligent Deterrence and Aversion System), an intelligent avian deterrence system integrating embedded machine learning with hybrid analog signal generation. An ESP32 executes an INT8-quantized CNN to classify bird species from audio captured via a microphone, and applies a Bioacoustic Resonance Inversion (BRI) algorithm to generate species-specific deterrence signals based on audiogram sensitivity. The signal is synthesized through a PWM-driven NE555-based analog oscillator and amplified for output. A reinforcement learning agent adapts system behavior using bird departure feedback, with federated updates shared across devices without transmitting raw audio. The system provides adaptive, species-targeted deterrence with improved effectiveness over conventional methods.
Disclaimer: Curated by HT Syndication.
