1 research outputs found
GULP: Solar-Powered Smart Garbage Segregation Bins with SMS Notification and Machine Learning Image Processing
This study intends to build a smartbin that segregates solid waste into its
respective bins. To make the waste management process more interesting for the
end-users; to notify the utility staff when the smart bin needs to be unloaded;
to encourage an environment-friendly smart bin by utilizing renewable solar
energy source. The researchers employed an Agile Development approach because
it enables teams to manage their workloads successfully and create the
highest-quality product while staying within their allocated budget. The six
fundamental phases are planning, design, development, test, release, and
feedback. The Overall quality testing result that was provided through the
ISO/IEC 25010 evaluation which concludes a positive outcome. The overall
average was 4.55, which is verbally interpreted as excellent. Additionally, the
application can also independently run with its solar energy source. Users were
able to enjoy the whole process of waste disposal through its interesting
mechanisms. Based on the findings, a compressor is recommended to compress the
trash when the trash level reaches its maximum point to create more rooms for
more garbage. An algorithm to determine multiple garbage at a time is also
recommended. Adding a solar tracker coupled with solar panel will help produce
more renewable energy for the smart bin.Comment: 19 pages, 6 figures, International Research Conference on Computer
Engineering and Technology Education2023 (IRCCETE 2023