Edge Device Integration to visualize Blue Whale Tracking using Space-Borne Remote Sensing Datascientifically

Introducing a CNN-based system for autonomously detecting and tracking blue whales in the Indian Ocean using spaceborne images. Leveraging deep learning models and image processing techniques, the system achieves accurate results with SASPlanet, UK Polar data, and Worldview-2 imagery. Employing Modified-MobileNet,RTDETR, and Segformer architectures, it offers a cost-effective solution for Detection , Segmentation and visualizing whales on edge devices like Telegram and WhatsApp bots. Evaluation metrics include an F1-score of 80, mAP of 83, precision of 90%, and recall of 98%, demonstrating robust performance in whale detection using spaceborne remote sensing data.