Drones have been rising in popularity in the past few decades, introducing alongside them new security difficulties. As these drones have become more accessible, so do the risks associated with their misuse. Drones pose a serious threat to security. This paper titled "Sky Guardians: AI and DL for Drone Detection," the novel combination of Deep Learning (DL) and Artificial Intelligence (AI) technologies is examined in order to solve the drone detection problem. In this research, drone detection in security-sensitive locations can be accomplished through the use of artificial intelligence (AI) and deep learning (DL). The research investigates the benefits of new technology over conventional approaches as well as their drawbacks and restrictions. This project's main goal is to create a reliable drone detection system that can recognize and categorize drones in real-time, allowing for prompt responses to possible security breaches. To accomplish precise and effective drone identification, the suggested method makes use of deep learning, machine learning, and computer vision techniques. The hybrid model is used by the system to identify drones in photos.
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Naik et al. (2024) studied this question.
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