The AntiTrash project (smart cleaning and prevention of damage for shared mobility) promotes a change in model for the regular cleaning of shared vehicles with the best results. In this context, a system is developed to detect automatically rubbish or potential damage to the shared vehicle or public transport. Through machine learning techniques, images will be used that are obtained by a camera that inspects the interior of the vehicle to assess its state. This will also enable identification of the person responsible for the damage and/or rubbish in the shared vehicle so that they can be directly charged the maintenance costs if necessary.
In addition, the use of smart materials that increase the durability of the interior (plastics, metals and polymers) is considered, as well as the use of nanotechnology (microfluidic hydraulic systems) to detect smells and particles that ensure good air quality inside the car. This also contributes to reducing cleaning costs and makes it easier to replace vehicle components.
The AntiTrash project is funded in the Innovation Project 2020 category by EIT Urban Mobility and is expected to continue until the end of 2021. The project is coordinated by AALTO University. Other participants are the Microtech lab and UPC INTEXTER, CARNET (CIT UPC co-ordinate), the NFF in Braunschweig, SEAT, Zone Cluster and the city of Hamburg.
EIT Urban Mobility is funded by the European Institute of Innovation and Technology (EIT).