The flexibility and cost-effectiveness of drones have led to a "new golden age of aviation," according to Jamey D. Jacob, director of Oklahoma State University's Unmanned Systems Research Institute. However, this rapid advancement also presents challenges for drone defense, with drone makers and pilots constantly devising new ways to dominate the battlefield. Both MARSS and Dedrone see the potential in integrating various defense systems into a single, operator-controlled network, with machine learning and AI enhancing the detection process and reducing false positives.
Key takeaways:
- Rapid advances in drone technology have increased risks to governments, companies, and public utilities, leading to a growing demand for counter-drone defenses.
- Defense companies like MARSS and Dedrone are developing systems to detect, track, identify, and mitigate drone threats, using technologies such as radars, cameras, frequency jamming, and electronic warfare.
- MARSS has showcased its AI-driven NiDAR counter-drone system at the Red Sands military drills in Saudi Arabia, demonstrating its effectiveness against various air threats.
- Dedrone has integrated artificial intelligence and machine learning solutions into its counter-drone platforms, allowing users to quickly identify and respond to threats.