Military fieLd
Min[e]d 1.0 Project - Detection of objects and potentially dangerous material under the ground surface
CHALLENGE
Problems
- Presence of material and objects potentially dangerous for humans.
- Social and economic environmental impact
- Conventional analysis methods are not very useful, they are very expensive and and their implementation is often impossible for safety reasons
Solutions
- Automatic multi-sensory collection of surface and underground environmental data
- Homogenization of asynchronous and heterogeneous data sources. Processing with specialized Artificial Intelligence models via DataCruncher platform
- Simple and effective visualization with possible integration of Bots for multi-channel interaction
RESULTS
01
Identification and geo-location of objects
02
Construction of an environmental model (digital twin) for the analysis of changes over time
03
Reclamation of territories inaccessible due to the presence of anti-personnel mines.
Every day 19 people are victims of landmines: 2,492 dead and 4,561 injured in 2021*. The material damage to the mined areas deriving from health costs and prevented economic and social development are instead difficult to calculate. We have reason to believe that an evolution of our solution can allow effective identification, faster and less risky than the current ones.
