The recognition of objects is based on the experience of the operator in a complex scenario: the objects are almost always deformed by the impact, and this increases the difficulty of identification.

The discrimination between real and false UXO (for example, cans, fire extinguishers, bike seats, or other objects) is essential to reduce false positives and choose the best removal procedure.

The Collaborative network UXO is a participatory system for mapping and recognition of unexploded ordnance in order to guide the bomb squad when necessary.added value of this project is to build a decision support system that helps the deminers to benefit, in real time, of UXO database information along with the experience of the network of specialists.