GULP: Solar-Powered Smart Garbage Segregation Bins with SMS Notification and Machine Learning Image Processing

  • Jerome B. Sigongan College of Computer Studies, Northern Bukidnon State College, Philippines
  • Hamer P. Sinodlay College of Computer Studies, Northern Bukidnon State College, Philippines
  • Shahida Xerxy P. Cuizon College of Computer Studies, Northern Bukidnon State College, Philippines
  • Joanna S. Redondo College of Computer Studies, Northern Bukidnon State College, Philippines
  • Maricel G. Macapulay College of Computer Studies, Northern Bukidnon State College, Philippines
  • Charlene O. Bulahan-Undag College of Computer Studies, Northern Bukidnon State College, Philippines
  • Kenn Migan Vincent C. Gumonan College of Computer Studies, Northern Bukidnon State College, Philippines

Abstract

Purpose – This study intends to build a smart bin 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.

Method – 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.

Results – 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.

Conclusion – The researchers were able to develop an innovative smart bin that automates the solid waste disposal in the target institution and also monitors the garbage bins to prevent overflow through its SMS notification feature. 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.

Recommendations – 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.

Research Implications – The institution continues to operate on the basis of traditional waste management along with the increasing student population, and an increasing effort in monitoring proper waste disposal. The traditional method of manually separating waste in a garbage bin is time-consuming and costly. Having an efficient and sustainable waste management application will aid the regulation of waste disposal and ease some environmental pressures.

Author Biographies

Jerome B. Sigongan, College of Computer Studies, Northern Bukidnon State College, Philippines

Jerome B. Sigongan is a Bachelor of Science in Information Technology senior student at Northern Bukidnon State College, specializing in programming and internet of things.

Hamer P. Sinodlay, College of Computer Studies, Northern Bukidnon State College, Philippines

Hamer P. Sinodlay is a Bachelor of Science in Information Technology senior student at Northern Bukidnon State College, specializing in hardware and internet of things.

Shahida Xerxy P. Cuizon, College of Computer Studies, Northern Bukidnon State College, Philippines

Shahida Xerxy P. Cuizon is a Bachelor of Science in Information Technology senior student at Northern Bukidnon State College, specializing in human computer interaction and project management.

Joanna S. Redondo, College of Computer Studies, Northern Bukidnon State College, Philippines

Joanna S. Redondo is a Bachelor of Science in Information Technology senior student at Northern Bukidnon State College, specializing in human computer interaction and project management.

Maricel G. Macapulay, College of Computer Studies, Northern Bukidnon State College, Philippines

Maricel G. Macapulay is a Bachelor of Science in Information Technology senior student at Northern Bukidnon State College, specializing in human computer interaction and project management.

Charlene O. Bulahan-Undag, College of Computer Studies, Northern Bukidnon State College, Philippines

Charlene O. Bulahan is an instructor at Northern Bukidnon State College, specializing in human computer interaction, professional ethics, internet of things and project management.

Kenn Migan Vincent C. Gumonan, College of Computer Studies, Northern Bukidnon State College, Philippines

Kenn Migan Vincent C. Gumonan is the program head for the Bachelor of Science in Information Technology at Northern Bukidnon State College, specializing in research, programming, game development, internet of things and project management.

Published
2023-01-05
How to Cite
SIGONGAN, Jerome B. et al. GULP: Solar-Powered Smart Garbage Segregation Bins with SMS Notification and Machine Learning Image Processing. International Journal of Computing Sciences Research, [S.l.], v. 7, p. 2018-2036, jan. 2023. ISSN 2546-115X. Available at: <//stepacademic.net/ijcsr/article/view/415>. Date accessed: 20 apr. 2024.
Section
Special Issue: IRCCETE 2023