Innovation Owner
Mr. NAKARIN RUENGNARONG
Student
Details
This project presents the development of an automatic recycling machine for plastic bottles and cans, utilizing Machine Learning for packaging classification and smart sensors for quality inspection, integrated with a real-time Web Application and automated payment system.
This project presents the development of an automatic recycling machine for plastic bottles and cans, utilizing Machine Learning for packaging classification through image processing, integrated with smart sensor systems for quality inspection and operation control. The system connects to a Web Application for real-time monitoring and control. Once the packaging type is verified, the system automatically calculates the refund value and processes payment through e-wallet or issues cash vouchers.
The system can be installed in public spaces to promote waste segregation at source, reduce contamination, and increase recycling efficiency. It also provides financial incentives to encourage public participation in waste management. This project demonstrates the potential of combining Machine Learning and smart sensor systems in developing accurate, convenient, and sustainable waste management solutions.
Objective
The objectives include developing an automated recycling machine using Machine Learning and smart sensors, implementing an automated payment system, creating a real-time monitoring Web Application, and promoting waste segregation at the source.
- To develop an automatic recycling machine for plastic bottles and cans using Machine Learning for packaging classification.
- To develop a quality inspection system for packaging using smart sensors.
- To develop an automated payment system via e-wallet and cash voucher issuance.
- To develop a Web Application for real-time monitoring and control of the recycling machine.
- To promote waste segregation at the source and create incentives for public recycling.