000			02901nam a22003137a 4500
003			OSt
005			20220622035334.0
008			220622b ||||| |||| 00| 0 eng d
040			_bEnglish. _cCvSU-CCAT Campus Library. _erda.
050			_aUM TJ 211 _bE87 2018
100			_aEsquivel, Abegail P., author. _95549
245			_aIntelligent Fire Accident Inspector with Gas Leakage Detection / _cAbegail P. Esquivel and Sherwin M. Verana
260			_aRosario, Cavite : _bCavite State University-CCAT Campus, _c2018
300			_axviii, 53 leaves : _billustrations ; _c28 cm
500			_aDesign Project (BSCpE)--Cavite State University-CCAT Campus, 2018.
504			_aIncludes bibliographical references and appendices.
520			_aESQUIVEL, 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. 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. 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. 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.
650			_aFirefighting robots. _95550
650			_aRobotics. _95551
650			_aRaspberry Pi (computer). _92682
650			_aRobots _xGas detectors _vDesign and construction. _95552
650			_aGas leak detector. _95553
650			_aLeak detectors. _95554
700			_aVerana, Sherwin M., author. _95555
700			_aDharma, John Michael A., adviser. _95496
700			_aBanogbanog, Judith O., critic. _95556
942			_2lcc _cT/M/D _hTJ 211 _iE87 2018 _kUM
999			_c1761 _d1761