Exhibitors 2019
- 3D PRINTING
- ART
- EDUCATION
- HOME AUTOMATION
- INTERNET OF THINGS
- KIDS & EDUCATION
- RECYCLING & UPCYCLING
- ROBOTICS
- SCIENCE
- YOUNG MAKERS (< 18)
- BIOLOGY
- GAMES
- ARTIFICIAL INTELLIGENCE
- OPEN SOURCE
- NEW MANUFACTURING
- FABRICATION
- WELLNESS & HEALTHCARE
- ENERGY & SUSTAINABILITY
- FOOD & AGRICULTURE
- 3D SCANNING
- CULTURAL HERITAGE
- AEROSPACE
- HACKS
- MUSIC & SOUND
- ARTISANS & NEW CRAFT
- FASHION & WEARABLES
- DRONES
- STEAM PUNK
- ARDUINO
- CROWDFUNDING
MAESTRO – sMArt rEcycle bin uSing auTomatic gaRbage recOgnition
The MAESTRO trash-bin is able to memorize the different materials used by the owner in order to promote virtuous behavior in the disposal of waste through smart billing.
Il progetto è stato realizzato nel corso di Cyber-Physical Systems, gli autori sono: Federica Pascucci, Sara Acquaviva, Elena Bernardini, Matteo Castellani, Gianmarco Frangini, Filippo Magri, Giulia Perri, Jie Tan.
Sara Acquaviva received the BD degree in computer engineering from the University of Roma Tre in 2016 and she is currently student of the MS in Management and Automation at the University of Roma Tre. She defined the functional requirements and designed the information system for the MAESTRO project.
Elena Bernardini received the BD degree in Computer Engineering from the University of Roma Tre in 2017 and she is currently student of the MS in Management and Automation at the University of Roma Tre. She designed the physical structure of the bin and interfaces sensors and actuators to Arduino for the MAESTRO project.
Matteo Castellani received the BD degree in Computer Engineering from the University of Roma Tre in 2016 and he is currently student of the MS in Management and Automation at the University of Roma Tre. He designed and developed the Arduino software for the MAESTRO project.
Gianmarco Frangini received the BD degree in computer engineering from the University of Roma Tre in 2016 and he is currently student of the MS in Computer Engineering at the University of Roma Tre. He designed and developed computer vision algorithms based on Machine Learning for the MAESTRO project.
Filippo Magri received the BD degree in computer engineering from the University of Roma Tre in 2016 and he is currently student of the MS in Management and Automation at the University of Roma Tre. He designed the system to identify different material and the control algorithms for the actuators for the MAESTRO project.
Giulia Perri received the BD degree in computer engineering from the University of Roma Tre in 2017 and she is currently student of the MS in Management and Automation at the University of Roma Tre. She designed the physical structure of the bin and interfaces sensors and actuators to Arduino for the MAESTRO project.
Jie Tan is currently student of the MS in Management and Automation at the University of Roma Tre. She defined the functional requirements for the MAESTRO project.