Landmine detection could improve with drones and machine learning, say Binghamton University researchers


Hidden landmines are among the tragic legacies of armed conflicts around the world, continuing to kill and maim people years after the cessation of hostilities. Aerial drones can collect data to be analyzed with machine learning to detect the dangerous “butterfly” landmine in remote regions of post-conflict countries, said researchers at Binghamton University, State University at New York.

The post Landmine detection could improve with drones and machine learning, say Binghamton University researchers appeared first on The Robot Report.

More Related Posts

Medtronic Hugo surgical robot completes first clinical procedure

The Hugo system includes wristed instruments and 3D visualization technology to help...

Imagine a Beowulf Cluster of SuperNODEs … (They did)

Clustering resources for faster performance is not new. In the early days...

Researchers Report Counterintuitive Friction Effect

When two metal surfaces slide against each other, a variety of complicated...

Home

Highly Niched Headhunters Specialized in Physical AI/Robotics, High-Performance Computing, Unmanned/Autonomous Systems, Defense Technology and Energy.

Specializations

We recruit across complex engineering markets where understanding the technology is critical to finding the right talent.

How We Work

Overview of how PACE partners with teams: Our process, what clients get, and why PACE is different.

About Us

PACE’s story, values, and culture define how we operate and who we are.

News & Insights

Stay up to date on industry trends.

Contact

All the information needed for anyone interested in contacting us.