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The anti-drone industry is witnessing significant technological advancements in radar, Radiofrequency (RF) sensors, and optical sensors, leading to more accurate and longer-range detection of drones, even in complex environments. The integration of Artificial Intelligence (AI) and Machine Learning (ML) allows for real-time analysis of sensor data, enhancing drone recognition of other objects and classification of their potential danger levels. These improvements are resulting in the creation of specific anti-drone technologies for a variety of applications including airport security, prisons, power plants, and even wildlife management.
For instance, in September 2023, Hexagon US Inc. integrated AI and ML mechanisms into its C-UAS systems’ decision-making process. This can help operators identify dangers and choose the best possible course of action. This advancement finds several applications, such as advanced threat detection, real-time threat assessment, predictive analytics, and cognitive assistance and augmentation, boosting product adoption.