Development of drone detection system using arduino for enhance privacy purpose

Mohd Roslan, Muhammad Elwan (2023) Development of drone detection system using arduino for enhance privacy purpose. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Today, we continue to see significant increases in the use of robots (airborne or non- airborne) in various aspects of our lives. Drones are common examples of unmanned airborne robots. Drones are not only used for military purposes; they are also used in the civilian sector. Some of these applications include logistical operations, reconnaissance, search-and-rescue, disaster assessment, and others. The Federal Aviation Administration (FAA) reports that over 1.5 million drones are registered in the United States. Twenty-eight percent of these registered drones are used for commercial purposes, while the rest are purchased for recreational purposes. Because there are numerous benign applications for drones and no strict regulations on who can buy and operate a drone, there is also an increase in safety and security concerns. The use of a drone to infiltrate a secured or restricted area is a common security concern. Extremist or terrorist groups can also use drones to deliver explosive payloads or chemicals to a specific location, putting public safety at risk. Radar has been widely used in the detection of drones and small aircraft. However, there are some restrictions. Radar, for example, cannot tell the difference between birds and drones. Several other detection methods, based on sensing mechanisms such as sound, video, thermal, and radio frequency, have been used in DDI systems (RF). There are various tradeoffs when using any of these approaches, and these tradeoffs influence system performance. Weather conditions can have a significant impact on the thermal approach. When there is a lot of noise around, the effectiveness and efficiency of a sound detection system suffers. Similarly, low light visibility and coverage are disadvantages for using video detection mechanisms.

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