Intelligent Fire Accident Inspector with Gas Leakage Detection / (Record no. 1761)

MARC details
000 -LEADER
fixed length control field 02901nam a22003137a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220622035334.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220622b ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Language of cataloging English.
Transcribing agency CvSU-CCAT Campus Library.
Description conventions rda.
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number UM TJ 211
Item number E87 2018
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Esquivel, Abegail P., author.
9 (RLIN) 5549
245 ## - TITLE STATEMENT
Title Intelligent Fire Accident Inspector with Gas Leakage Detection /
Statement of responsibility, etc. Abegail P. Esquivel and Sherwin M. Verana
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Rosario, Cavite :
Name of publisher, distributor, etc. Cavite State University-CCAT Campus,
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 53 leaves :
Other physical details illustrations ;
Dimensions 28 cm
500 ## - GENERAL NOTE
General note Design Project (BSCpE)--Cavite State University-CCAT Campus, 2018.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and appendices.
520 ## - SUMMARY, ETC.
Thesis Abstract <a href="ESQUIVEL, ABEGAIL P., VERANA, SHERWIN M. Intelligent Fire Accident Inspector with Gas Leakage Detection. Design Project. Department of Engineering. Cavite State University-Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2018. Adviser: Engr. John Michael A. Dharma. Technical critic: Judith O. Banogbanog.<br/><br/>The study was conducted from August 2017 to April 2018. To develop an Intelligent Fire Accident Inspector with Gas Leakage Detection. Specifically the study aims to design the hardware interface of the fire accident inspector, construct the project using raspberry pi as microcontroller equipped with a camera for visual inspection of accident sites and a gas sensor for detecting gas leakage, test and evaluate the technical performance of the device in terms of the response to gas leakage, response of the car movement to commands from the mobile application, response of the camera head movement to commands from the mobile application, linear speed of the car and assess the technological design and conduct cost analysis of the project. <br/><br/>The main component of the fire accident robot is raspberry pi. Raspberry pi camera and gas sensor were used as input device. The raspberry pi camera enables to send a live video to the user’s android phone and send a signal to the raspberry pi and receive a command in the application. The LED was used as indicator to know if the sensor detect a gas near in the area. <br/><br/>Based on the result of the evaluation using binomial distribution, all the functions of the prototype have succeeded. There are conclusion and recommendations arises for the improvement of the study. <br/>">ESQUIVEL, ABEGAIL P., VERANA, SHERWIN M. Intelligent Fire Accident Inspector with Gas Leakage Detection. Design Project. Department of Engineering. Cavite State University-Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2018. Adviser: Engr. John Michael A. Dharma. Technical critic: Judith O. Banogbanog.<br/><br/>The study was conducted from August 2017 to April 2018. To develop an Intelligent Fire Accident Inspector with Gas Leakage Detection. Specifically the study aims to design the hardware interface of the fire accident inspector, construct the project using raspberry pi as microcontroller equipped with a camera for visual inspection of accident sites and a gas sensor for detecting gas leakage, test and evaluate the technical performance of the device in terms of the response to gas leakage, response of the car movement to commands from the mobile application, response of the camera head movement to commands from the mobile application, linear speed of the car and assess the technological design and conduct cost analysis of the project. <br/><br/>The main component of the fire accident robot is raspberry pi. Raspberry pi camera and gas sensor were used as input device. The raspberry pi camera enables to send a live video to the user’s android phone and send a signal to the raspberry pi and receive a command in the application. The LED was used as indicator to know if the sensor detect a gas near in the area. <br/><br/>Based on the result of the evaluation using binomial distribution, all the functions of the prototype have succeeded. There are conclusion and recommendations arises for the improvement of the study. <br/></a>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Firefighting robots.
9 (RLIN) 5550
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Robotics.
9 (RLIN) 5551
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Raspberry Pi (computer).
9 (RLIN) 2682
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Robots
General subdivision Gas detectors
Form subdivision Design and construction.
9 (RLIN) 5552
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Gas leak detector.
9 (RLIN) 5553
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Leak detectors.
9 (RLIN) 5554
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Verana, Sherwin M., author.
9 (RLIN) 5555
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Dharma, John Michael A., adviser.
9 (RLIN) 5496
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Banogbanog, Judith O., critic.
9 (RLIN) 5556
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis/Manuscripts/Dissertations
Classification part TJ 211
Item part E87 2018
Call number prefix UM
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code 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
    Library of Congress Classification     Thesis/Manuscript/Dissertation Cavite State University - CCAT Campus Cavite State University - CCAT Campus TH 06/22/2022   UM TJ 211 E87 2018 T0004209 10/24/2025 1 copy 06/22/2022 Thesis/Manuscripts/Dissertations