Design of Sky Watcher Intelligent Drone Detection System

K. Janshi Lakshmi1 Associate
Professor Department of ECEAnnamacharya Institute ofTechnology and Sciences
Tirupati, Indiajansikaramala@gmail.com
kamisetty yeshwanth4 B.Tech,
StudentDepartment of ECE AnnamacharyaInstitute of Technology
and SciencesTirupati, India yeshwanth8@gmail.com
Annepu Tatarao2 B.Tech, Student
Department of ECE Annamacharya Instituteof Technology
and SciencesTirupati, India tataraoannepu@gmail.com
Daggupati Sreevani 3 B.Tech, Student Department of
ECEAnnamacharya Institute of Technology and Sciences
Tirupati, Indiadaggupatisreevani@gmail.com
Tevula Uday Bhaskar5 B.Tech, Student
Department of ECE Annamacharya Institute of Technologyand Sciences
Tirupati, India ubhaskar039@gmail.com

Abstract: The rapid advancement and accessibility of Unmanned Aerial Vehicles (UAVs) have increased their applications in surveillance, delivery services, agriculture, and security monitoring. However, the misuse of drones in restricted or sensitive areas has created serious safety and privacy concerns. This paper presents the design and implementation of a Sky Watcher Intelligent Drone Detection System using cost- effective embedded and IoT technologies. The proposed system integrates Arduino and ESP32 microcontrollers to detect and monitor unauthorized drone activity in real time. A Think Speak IoT cloud platform is utilized for remote data monitoring, analysis, and storage, enabling continuous surveillance through internet connectivity. The system employs wireless signal detection and environmental monitoring techniques to identify drone presence within a predefined range. The ESP32 module provides Wi-Fi communication for transmitting detectiondata to the cloud, while the Arduino controller processes sensor  inputs and manages system operations. A Liquid Crystal Display(LCD) is used to display real-time drone detection status, and a buzzer alert system provides immediate audible warnings when an intrusion is detected. The integration of IoT technology enhances remote accessibility, allowing users to monitor drone activity through cloud dashboards. The proposed model focuses on low- cost implementation, reliability, and real-time monitoring suitable for applications in defense zones, airports, public events, and private security areas. Experimental results demonstrte effective detection performance and reliable alert generation. The Sky Watcher system offers a scalable and intelligentsolution for modern drone threat management using embedded systems and IoT technology.Keywords—Drone system, defense system, object detection, dronebird dataset, attention mechanism