02310nam a2200253 i 4500003000500000005001700005008004100022040002500063100003200088245019400120300001600314336002100330337002500351338002300376502009500399504004100494520129900535700003201834700003501866720003001901720004601931720004101977720003802018CSPC20251202083136.0251202s2024    ph a     b    000 0 eng d  aCSPCbengcCSPCerda1 aCarique, Gerald M.eauthor.10aDolly : ba voice-activated and gesture-recognizing smart trashcan utilizing the YOLO alogorithm for autonomous navigation / cGerald M. Carique, John Mark C. Ruam, and Arnold Rie J. Sejera  a135 leaves.  2rdacontentatext  2rdamediaaunmediated  2rdacarrieravolume  aUndergraduate Thesis (BSCS) - Computer Science.cCamarines Sur Polytechnic Colleges, 2024.  aIncludes bibliographical references.3 aEffective waste management is a growing global concern, with an estimated 2.24 bil-lion tons of solid waste generated annually. For individuals with mobility impairments, disposing of waste independently remains a significant challenge. This study addresses this gap by developing "Dolly", a voice-activated, gesture-recognizing smart trashcan designed to enhance waste disposal efficiency and accessibility. Using the YOLO (You Only Look Once) algorithm, the system detects a thumbs-up gesture to trigger autonomous navigation, allowing the trashcan to move toward the user's location. This innovation is particularly useful for office workers and individuals with disabilities, promoting inclusivity and sus-tainability. The study's objectives include training and evaluating the YOLO algorithm for gesture recognition, integrating the model into a smart trashcan prototype, and testing the prototype's effectiveness in real-world scenarios. System integration used a Raspberry Pi 4 and Arduino Uno, and the system achieved a mean average precision (mAP@95) of 93%. Voice commands were incorporated through the PICO Voice Porcupine Wake Word engine. Results show that "Dolly" significantly improves accessibility for users with mobility im-pairments, promoting independence in waste disposal.1 aRuam, John Mark C.eauthor.1 aSejera, Arnold Rie J.eauthor.  aBenitez, Ian P.eadviser.  aFortuno, Kaela Marie N.echair, panelist.  aOñate, Joseph Jessie S.epanelist.  aPandes, Tiffany Lyn O.epanelist.