Hidden anti-personnel landmines continue to threaten millions of people living in conflict and post-conflict regions around the world. Many of these explosive devices are made from plastic, making them difficult to locate with traditional metal detectors and other common detection methods. Researchers are now exploring new technologies that can improve the search process and support humanitarian demining efforts. A team from Binghamton University has developed a system that combines drones, cameras, and machine-learning software to identify suspected landmines from aerial images. The research aims to help demining teams work more efficiently while reducing risks during field operations and early land surveys.
