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    Trash can segregation with sensor

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    Date
    2023-07
    Author
    Besa, Renante V.
    Barana, Jenelyn M.
    Pagunsan, Alvin B.
    Thesis Adviser
    Baticados, Sharon B.
    Committee Chair
    Baticados, Sharon B.
    Committee Members
    Gersaniva, Kaizell Mickhos A.
    Dela Cruz, Ernie Lorenz V.
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    Abstract
    This capstone project was a project of research at Capiz State University - Pilar Satellite College. It generally aimed to create a Trash can Segregation with Sensor for the Capiz State University Pilar Satellite College to provides automatic trash can segregation specially to help the students faculties to do the proper segregation. Specifically, a.) Develop automatic waste segregator b.) Design and Implement a system that can segregate the waste automatically, c.) To make an easy way to segregate the waste disposal, d.) Provide an automatic trash can segregator.

    Further, the said trash can segregation with sensor can used by the students faculties who has who has a trash put in the trash can segregation with sensor.

    This trashcan segregation is very useful for users who having a problem throwing a trash. It was developing in Arduino Uno IDE (Integrated Development environment), The IDE application is suitable for different operating systems such as Windows, Mac OS X, and Linux. It supports the programming language C and C++.

    Its automatic trash can segregation with sensor feature making it easy way waste disposal.
    Keywords
    Sensor Trash can segregation
    URI
    https://repository.capsu.edu.ph/handle/123456789/701
    Recommended Citation
    Besa, R.V., Barana, J.M., & Pagunsan, A.B. (2023). Trash can segregation with sensor [Undergraduate thesis, Capiz State University Pilar Satellite College]. CAPSU Institutional Repository.
    Type
    Thesis
    Degree Discipline
    Information Technology
    Degree Name
    Bachelor of Science in Information Technology
    Degree Level
    Undergraduate
    Department
    Information Technology
    Collections
    • Undergraduate Theses [430]

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