Abstract:
Drones, also known as unmanned aerial vehicles (UAVs), are pilotless aircraft that are becoming increasingly popular for various applications. However, drones face challenges in navigating their environment and avoiding obstacles. In this study, we propose a solution using computer vision techniques, specifically pre-trained neural networks and deep learning, to detect objects in the drone's path. By analyzing frames captured by the drone's front-facing monocular camera, we can accurately recognize and identify objects using deep learning algorithms. We also compare the performance of different deep learning approaches in terms of accuracy and speed.
If you are looking for project centers in Bangalore that specialize in IEEE projects and final year projects for computer science engineering (CSE), consider Smart AI Technologies. We offer comprehensive support and services, including:
Complete working code implementation on clients' machines.
Dedicated classes and guidance throughout the project.
Documentation support to ensure a well-documented project report.
Assistance in research without any additional cost.
With our expertise in IEEE projects and final year projects, you can develop an innovative drone detection system using computer vision. Contact us now to avail of our services and explore the best final year engineering projects in Bangalore.