Carnegie University students have developed RELand, an AI-based mine detection system

After the end of the war, Ukraine's biggest problem will be demining large territories. It is the largest country in Europe, and we should not forget the Black and Azov Seas, which are also strewn with mines.

The scale of Ukraine's contamination with mines and unexploded ordnance is the largest since the Second World War. According to various estimates, it will take dozens of years to clear the entire country, and GLOBSEC (a think tank in Slovakia) estimates that Ukraine needs 757 years to eliminate the problem.

Perhaps the new development of enthusiasts from Carnegie Mellon University will significantly accelerate and simplify this process.

Here's What We Know

Students and professors of the university have developed a system of mine detection RELand, which is based on AI. As its creators explain, the system analyses socio-demographic data, information about geographical features of the area and indicates where the AI thinks danger is located.

The artificial intelligence built into RELand simplifies sappers' work and minimises risks.

The development of RELand was led by graduate student Mateo Dulce Rubio, who grew up in Colombia, where the problem of mine contamination is acute. It was in this country that the programme was first tested and was able to identify mine threats in several areas and point to low threat risk locations, where subsequently there were indeed no mines.

Improvements to RELand's mine detection system will continue and future tests will take place in other countries, including Ukraine and Afghanistan.

Source: ACM Digital Library