Design and Fabrication of Solar-Powered Smart Waste Segregation Trash Bin with Image Processing
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
(2022), pp. 1-6
Tony Rey R. Escalona
a
,
Diana Rose T. Rivera
a
,
Ritchard Q. Dizon
a
,
Francis Aboy
a
,
Bedivere Cabahug
a
,
Vic James Mesina
a
,
Vee Jay Ramos
a
a Department of Mechanical Engineering, College of Engineering, Far Eastern University Institute of Technology, Manila, Philippines
Abstract: The solar-powered smart waste segregation trash bin with image processing can help in managing the solid waste generated in a community. This device is designed to segregate four types of recyclable solid waste materials namely; plastic, glass, metallic, and paper with the help of image processing and a series of sensors installed in the device for detection, selection, and feedback. The solid waste material is scanned using a camera and compared to the waste images datasets that have been tested and trained model by the researchers, using TensorFlow and python 3.7. The smart waste segregation trash bin can also sense the amount of solid waste inside the compartment with the help of an ultrasonic sensor. Aside from that, through the GSM module, it can generate an SMS notification to the authorized personnel once the bin reaches its maximum capacity. The device is also equipped with a solar panel that is capable of generating the required energy for the system. The result of the testing shows a 100% success rate for paper and plastics, 70% for metals, and 50% for glass. In terms of generating an SMS message to the user when the bins are full, all trials performed for the device to display real-time level monitoring had a favorable outcome indicated by a 100% success rate.