talisma-cassoma / UnderWaterDrone-D-OceanLab

D≈OceanLab is a underwater drone for Research purposes, it films and recognizes marine species using deep learning
MIT License
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drone electronics iot machine-learning neural-network product robotics rov uav underwater-drone underwater-robotics vehicle

D≈OceanLab

authors: Talisma Manuel
model v0.1

Overview

This project is about an underwater drone equipped with intelligent computer vision capabilities. The drone is able to track objects autonomously, making it a valuable tool for various underwater applications.

Current features Stage

Object Tracking: A model for object tracking was trained, focusing on tracking fish. The training process utilized the Roboflow Universe public Aquarium dataset. It can be adapted to an augmented custom dataset on Roboflow. This code resides within the repository.

Hand Gesture Recognition: Another Colab notebook explores hand gesture recognition, potentially for future drone control.