Design and implementation an object-following system by using DJI Tello drone

Lam, Shu Xuan (2023) Design and implementation an object-following system by using DJI Tello drone. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Unmanned aerial vehicles (UAVs) have gained significant popularity across various industries and applications due to their versatility and accessibility. To facilitate these applications, this project aims to develop a system capable of tracking and following a moving object using the DJI Tello drone. The DJI Tello drone is a compact quadcopter equipped with a built-in 5-megapixel camera capable of capturing 720p video at 30 frames per second. The project leverages computer vision techniques, specifically, Convolutional Neural Networks (CNNs), to locate the target in real-time and adjust the drone's flight path to maintain visibility. The system's core components involve creating and testing an algorithm that evaluates video data from the DJI Tello drone's camera and sends flying commands to its flight controller. The control mechanism is crucial to ensuring the drone maintains a safe distance from the object and avoids collisions with obstacles. Python programming language is utilized to control the drone via Wi-Fi, providing commands for take-off, landing, movement, rotation, and other flight maneuvers. The completed system will undergo rigorous testing using real-world scenarios, such as tracking a moving vehicle or object. By combining the capabilities of the DJI Tello drone, computer vision algorithms, and the control mechanism, the system aims to achieve real-time object tracking and following, contributing to enhanced disaster management, emergency response, and search and rescue operations.

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