CSPC receptionist robot NAVI : (Record no. 27080)

MARC details
000 -LEADER
fixed length control field 03130nam a2200325 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field CSPC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240229161053.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240229s2022 ph a mb 000 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency CSPC
Original cataloging agency CSPC
Language of cataloging eng
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) UTH BSECE Q401c 2022
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Quibuyen, Armira R.,
Relator term author.
245 10 - TITLE STATEMENT
Title CSPC receptionist robot NAVI :
Remainder of title navigation assistant with visual interface /
Statement of responsibility, etc. Armira R. Quibuyen [and 4 others].
300 ## - PHYSICAL DESCRIPTION
Extent 119 leaves
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
502 ## - DISSERTATION NOTE
Dissertation note Undergraduate Theses (BSECE) - Electronics Engineering.
Name of granting institution Camarines Sur Polytechnic Colleges, 2022.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
520 3# - SUMMARY, ETC.
Summary, etc. A Receptionist Robot is a prominent technology that is designed to aid humans in performing various tasks in a professional setting. This research paper aims to develop a receptionist robot that has the capacity to provide directions to users. This study involved the design and fabrication process of the prototype of CSPC Receptionist Robot NAVI: Navigation Assistant with Visual Interface. In this research, the researchers use Python as the main programming language, GTTS (Google Voice Text-to-Speech) for human-machine interaction and NVIDIA ReComputer J1010 as processor. For the additional features such as the face and voice detection, the hardware used were 1080p FHD webcam and a 3.5mm jack audio wired stereo SF-666 microphone condenser. The robot was also evaluated in terms of its features such as face detection, the ability to provide accurate directions and its response-time. A checklist was used in testing NAVI's face detection feature. The ability to answer questions and provide accurate directions are measured in terms of the average percentage of accurate results. In the evaluation of its main features, a questionnaire was used to test its acceptability. <br/>The results suggested that the receptionist robot provides an acceptable performance when carrying out tasks. The robot was able to detect and greet a visitor and could accurately answer queries about the directions of the buildings inside the campus. Overall, the receptionist robot was found to be an efficient addition to the campus as we were able to attain the specific objectives. In conclusion, the receptionist robot is a promising technology that has the potential to change the way humans interact in a professional and academic environment. While further research is needed to fully explore its capabilities, this study provides valuable information as to the potential of the receptionist robot to become a valuable tool once deployed.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Almoguera, Lyka,
Relator term author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Boñon, Joemy M.,
Relator term author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Castro, Mae An B.,
Relator term author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sanchez, Vert Ryan S.,
Relator term author
720 1# - ADDED ENTRY--UNCONTROLLED NAME
Name Cerillo, Jose Eduardo B. II,
Relator term technical adviser
720 1# - ADDED ENTRY--UNCONTROLLED NAME
Name Tabal, Keith Marlon R.,
Relator term chair, panelist
720 1# - ADDED ENTRY--UNCONTROLLED NAME
Name Malapo, Vincent E.,
Relator term panelist
720 1# - ADDED ENTRY--UNCONTROLLED NAME
Name Abanil, Roner P.,
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 Q401c
Item part BSECE
Call number prefix UTH
Call number suffix 2022
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 Price effective from Koha item type
    Dewey Decimal Classification     Main Library Main Library Undergraduate Thesis Section 02/29/2024   UTH BSECE Q401c 2022 006142UM 02/29/2024 02/29/2024 Unpublished Materials