Smart trash detection and damage prevention for shared mobility - second year

In order to face main mobility problems in cities and increase the quality of life of their citizens, there is a need to reduce the number of private vehicles and promote the use of shared and public transport services. The core problem is that users do not feel attached to these vehicles, and they tend to treat the interior disrespectfully and carelessly. This translates into user discomfort and reluctance and contributes to high operational and maintenance costs for service providers. 

The Anti-Trash project emerged with the intention to revolutionise the in-cabin user experience of shared and public transport services, as well as to make the operation of these vehicles much more efficient and cost-effective. To this end, the consortium intends to develop a cutting-edge solution for automatic trash and damage detection, and in-cabin air quality control. Three different lines of work will be explored.  

• Firstly, a vision-based camera system will allow a fast and reliable recognition of trash and damage inside the vehicle using machine learning.  

• Secondly, an in-cabin air quality management system will ensure wellness and a healthy environment for users, using novel sensors and microfluidic actuators that detect critical particles and neutralise them. Both vision-camera and indoor air quality systems are expected to cooperate and provide operators with alerts to clean up vehicles when necessary.  

• Thirdly, this project will study the combination of new smart materials and innovative interior designs for the creation of service-purpose vehicles that contribute to the prevention of damage and trash accumulation.  

Overall, this project will help to offer public transport, car- and ride-sharing services, the healthiest and most pleasant ride possible.