SIVASANKAR S

To pursue a challenging career where I can contribute to society by applying my technical knowledge and skills to solve real-time issues. I also strive to stay updated with the latest trends and technologies in the field.

ANIMAL DETECTION IN FARMLAND USING IMAGE PROCESSING

Designed and implemented a real-time animal detection system using image processing and the YOLO model to monitor farm areas. YOLO (You Only Look Once) is a pre-trained real-time object detection model that identifies and localizes multiple objects in an image with high speed and accuracy. The system identifies animals accurately and sends automated email alerts to the landowner, ensuring prompt notifications about their presence. The COCO dataset was used to provide animal images for training, enhancing the model's accuracy and adaptability. 

FLYING PATH OPTIMIZATION OF RECHARGEABLE UAV FOR DATA COLLECTION IN WIRELESS SENSOR NETWORK

 Developed a UAV-based data collection system for wireless sensor networks (WSNs) using Network Simulator 2 (NS2) for simulation and Tool Command Language (Tcl) for scripting. Implemented the MAVLink protocol for seamless communication, enabling real-time coordination. Utilized Dijkstra’s algorithm for UAV path planning to determine the shortest and most efficient routes, minimizing mission duration and optimizing overall system performance. Numerical simulations demonstrated significant improvements over existing methods, showcasing the system’s potential for scalable and energy-efficient WSN data collection.

• Participation certificate in hackathon
• Joy of computing using python(NPTEL)
• Programming in Java(NPTEL)

• Tamil
• English