Dr Vemula Dinesh Reddy, Assistant Professor, Department of Computer Science and Engineering, has been granted a patent for his invention “A System And A Method for Fog-Based Animal Intrusion Detection” with the Application No: 202341026013, in the Indian Patent Official Journal. The invention acts as a groundbreaking fog computing-based system designed for real-time detection of animal intrusions in sensitive areas using smart sensors for instant alerts.
Abstract
This research introduces an intelligent system using fog computing to detect animal intrusions in sensitive or protected zones such as farmlands, highways, and forest borders. The system enables real-time data processing closer to the site of intrusion, offering faster detection and reduced dependency on centralised cloud systems. Furthermore, we proposed the Quantum-Inspired optimisation technique called Quantum Evolutionary Algorithm.
Practical Implementation/ Social Implications of the Research
Through this invention, we can:
- Prevent crop destruction and reduce human-wildlife conflict.
- Enhance safety on highways where animal crossings are common.
- Support forest conservation efforts by enabling non-intrusive monitoring.
- Reduce latency and bandwidth costs by processing data locally (via fog computing).
Future Research Plans
- Integrating AI-based species classification to identify specific animals.
- Creating a scalable mesh network for larger geographic coverage.
- Enhancing energy efficiency through solar-powered edge nodes.
- Extending the system to include drone-based visual surveillance.