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040 _bEnglish.
_cCvSU-CCAT Campus Library.
_erda.
050 _aUM TJ 211.35
_bA83 2019
100 _aAtangan, Rommel A., author.
_95761
245 _aDevelopment of Building Inspector Robot with Gas Leakage Detector for Earthquake and Fire Accident /
_cRommel A. Atangan and Christine Joy C. Torres.
260 _aRosario, Cavite :
_bCavite State University-CCAT Campus,
_c2019
300 _axv, 80 leaves :
_billustrations ;
_c28 cm
500 _aUndergraduate Design Project (BSCpE)--Cavite State University-CCAT Campus, 2019.
504 _aIncludes bibliographical references and appendices.
520 _aATANGAN, ROMMEL A., TORRES, CHRISTINE JOY C. Development of Building Inspector Robot with Gas Leakage Detector for Earthquake and Fire Accident. Undergraduate Design Project. Cavite State University — Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2019. Adviser: Engr. John Michael M. Dharma and Technical Critic: Engr. Judith O. Banogbanog. The study was conducted from August 2018 to May 2019, to develop Inspector Robot, a raspberry pi-based intelligent robot that can see through dark places and allow to move and pass between obstacles more easily. Specifically, the study aimed to 1.) Design the Building Inspector Robot overall architecture, portability and hardware features and outputs. 2.) Fabrication and assembling of materials to form the physical output of the device. 3.) Design and incorporate a user-friendly graphical interface in a mobile application for the control of the device. 4.) Test and evaluate the technical performance of the device. 5.) Assess the perception of the end-user on the technology. Building Inspector Robot is made from lighter materials enable to move more easily in obstacles. The developers evaluated the Robot in terms of the performance of the system, the capability of moving and passing through obstacles, functionality of sensing gas, power consumption and reliability of the device. Based on the results of the evaluation, the functionality and usability succeeded the technical performance of the prototype. This revealed some limitations of the system and arises some recommendations for the improvement of the study.
650 _aRobots
_xControl systems
_vDesign and construction.
_95762
650 _aRaspberry Pi (Computer)
_92682
650 _aRobots in search and rescue operations.
_95763
650 _aArtificial intelligence.
_95764
700 _aTorres, Christine Joy C., author.
_95765
700 _aDharma, John Michael M., adviser.
_95766
700 _aBanogbanog, Judith O., critic.
_95556
942 _2lcc
_cT/M/D
_hTJ 211.35
_iA83 2019
_kUM
999 _c1793
_d1793