ANTITRASH project Titled: “SMART TRASH DETECTION AND DAMAGE PREVENTION FOR SHARED MOBILITY”  is an EIT Urban Mobility project incluced  in Business Plan 2020. 

This is a project Coordinated by AALTO University in collaboration with Microtech Lab, Intexter  and CARNET from UPC-BarcelonaTech, NFF at TU Braunscheweig, SEAT, Zone Cluster and City of Hamburg.


New Website Available for the Developed Product:

First DEMO day 26th of June 2020 of the ANTITRASH performance is now available online 

2nd DEMO day 8th of February 2021 of the ANTITRASH performance Odor detection is now available online 



ANTITRASH will develop an automatic detection of trash or damage in a shared vehicle or public transport with complementing new interior materials for car-sharing purposes, nanotechnology for odor detection and interior air quality assurance.

Trash and damage will be detected with machine learning system, using a camera in the car. Intelligent materials are studied for increased durability of car interior and perception of spills. Odor sensors will be combined to microfluidics actuators to detect odor and neutralize it. The system will also serve shared car users by helping them not to forget their valuables in the vehicles.

The system will be used by shared vehicles fleets, which are owned by our customers: companies, cities and municipalities.

Main benefit is that the need for maintenance and cleaning is quantified for operator of a shared vehicle fleet. Furthermore, the user who has littered or caused damage to a shared vehicle can be held accountable, since the status of the shared vehicle is checked after every user. In addition to cleaner vehicles, odor neutralization will ensure a pleasant and comfortable transportation experience.

The problem is that shared vehicles are “no one's property” from the user perspective. This causes the users to respect the vehicle condition less than they would if they would own the car. Same applies for public transportation. As the users do not care for vehicle as much, they tend not to clean the vehicle after use or be as cautious of causing damage. The automatic detection will pinpoint the person responsible for property damage or littering, which switches the responsibility from the service provider to the user, as they will be billed for required maintenance due to their negligence.

The objectives of the MICROTECH LAB subproject within ANTITRASH are: the design, development and validation of  systems based on microtechnologies for odor and bad smell detection with capacity to actuate on the neutralization of certain odors , which will ensure a good indoor air quality and environment for users in order to increase their attractiveness to sharing services. Those devices could also be used for bacteria or pollutants detection inside the vehicle, as well as to confirm trash disposal from users in order to assign responsibility. 

The MicroTech Lab-INTEXTER-UPC subproject will closely interact with SEAT on the  development and testing of new interior materials (i.e. plastic, metals and polymers), as well as on defining and testing microfluidic systems  for smell and particles detection. All this will contribute to the reduction of cleaning and in-vehicle components replacement costs and will help to increase the final users travelling experience.

The consortium vision is that ANTITRASH contributes to a paradigm shift in the maintenance of shared vehicles from a regular basis to an optimal maintenance. The research experience by the consortium represents an optimum blending of the interdisciplinary knowledge needed to develop successful projects in the area of Shared vehicles.


Kick-off meeting in Hochbahn installation in the City of Hamburg


This project is partially supported through the call for Innovation projects from EIT Urban Mobility.


E. Perarnau Ollé, J. CasalsTerré, J. A. López Martínez, J. FarréLladós (2023) Hansen Solubility Parameters (HSPs): A Reliable Tool for Assessing the Selectivity of Pristine and Hybrid Polymer Nanocomposites in the Presence of Volatile Organic Compounds (VOCs) Mixtures.  Macromolecular Materials and Engineering v 308, 3, 2200511

EP Ollé, J Farré-Lladós, J Casals-Terré, JAL Martínez (2023) Enhanced selectivity of a 3D-printed microfluidic gas detector towards different volatile organic compounds (VOCs) for the effective monitoring of indoor air quality in vehicles Environmental Technology & Innovation 33, 103481

Ollé, E.P.; Farré-Lladós, J.; Casals-Terré, J. (2020) Advancements in Microfabricated Gas Sensors and Microanalytical Tools for the Sensitive and Selective Detection of Odors. Sensors20, 5478. Cuartil Q1 Instruments and instrumentation Impact factor 3.275