Dolly : (Record no. 30977)

MARC details
000 -LEADER
fixed length control field 02471nam a2200301 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field CSPC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251202083136.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251202s2024 ph a b 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency CSPC
Language of cataloging eng
Transcribing agency CSPC
Description conventions rda
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) UTH BSCS C277d 2024
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Carique, Gerald M.
Relator term author.
245 10 - TITLE STATEMENT
Title Dolly :
Remainder of title a voice-activated and gesture-recognizing smart trashcan utilizing the YOLO alogorithm for autonomous navigation /
Statement of responsibility, etc. Gerald M. Carique, John Mark C. Ruam, and Arnold Rie J. Sejera
300 ## - PHYSICAL DESCRIPTION
Extent 135 leaves.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
502 ## - DISSERTATION NOTE
Dissertation note Undergraduate Thesis (BSCS) - Computer Science.
Name of granting institution Camarines Sur Polytechnic Colleges, 2024.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
520 3# - SUMMARY, ETC.
Summary, etc. Effective 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.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ruam, John Mark C.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sejera, Arnold Rie J.
Relator term author.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Benitez, Ian P.
Relator term adviser.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Fortuno, Kaela Marie N.
Relator term chair, panelist.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Oñate, Joseph Jessie S.
Relator term panelist.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Pandes, Tiffany Lyn O.
Relator term panelist.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
Koha item type Unpublished Materials
Classification part C277d
Item part BSCS
Call number prefix UTH
Call number suffix 2024
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main Library Main Library Undergraduate Thesis Section 12/02/2025   UTH BSCS C277d 2024 007015UM 12/02/2025 1-1 12/02/2025 Unpublished Materials