000			03249nam a22003017a 4500
003			OSt
005			20231207105810.0
008			231207b |||||||| |||| 00| 0 eng d
040			_aTUPM _beng _c- _d- _erda
050			_aBTH TK 145 _bA27 2019
100			_aAbragante, Christian L.
245			_aAutomated Emergency Fire Fighting Robot/ _cAbragante, Christian L. and five others
264			_aManila, Philippines: _bTechnological University of the Philippines, _c2019.
300			_aunnumbered pages: _billustrations ; _c28 cm. _e+1 CD-ROM (4 3/4 in.)
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aThesis (Undergraduate)
502			_aCollege of Engineering-- _bBachelor of Science in Electrical Engineering, _cTechnological University of the Philippines, _d2019.
520	3		_aFire being a catastrophic disaster results in several casualties and a mass damage to properties. Despite this, with the help of technology, fire prevention can be efficient with the help of a stationed fire extinguisher robot inside unattended rooms. The automated emergency firefighting robot will detect and extinguish fire in a pre-determined fire prone area inside the room using integrated Image Processing Camera and Raspberry Pi with Global System for Mobile communication (GSM) with Data Logging and Monitoring features. The study innovates a common fire extinguisher to a mobile and automatic robot which will lessen human interference. The study conducted will improve the monitoring of fire in a room and be a fast emergency response before a fire can damage more properties. It will ensure that once a fire is detected by the IP camera, it will send its signal to the Raspberry Pi that will decide on the direction of the fire extinguisher robot in extinguishing the fire. The person in charge of the room will be notified by means of a text message sent by the robot once a fire is ignited. The fire surveillance system was developed by the Raspberry Pi for fire detection and navigation of the device. IP Camera was attached to a router that will establish a communication to the Raspberry Pi using WIFI signal. The possible fire locations in COE 41 room are pre-determined. The room was divided into nine (9) quadrants and each quadrant are tested of the average time when the robot will reach the location of the fire from the docking station at quadrant eight. At quadrant one, the average response time is 1 min and 35 sec. At quadrant two, the average response time is 1 min and 09 sec. At quadrant three, the average response time is 1 min and 45 sec. At quadrant four, the average response time is 1 min and 06 sec. At quadrant five, the average response time is 28 sec. At quadrant six, the average response time is 1 min and 20 sec. At quadrant seven, the average response time is 44 sec. At quadrant eight, the average response time is 14 sec. At quadrant nine, the average response time from the docking station is 30 sec. _bAuthor's Abstract
650			_aRobotics
650			_aFire extinction _xEquipment and supplies
700			_aAl Hasani, Sameena C.
700			_aBraganza, Alexander P.
700			_aCunanan, Angelo E.
700			_aMorcilla, Dhara Dianne L.
942			_2lcc _cBTH COE _n0
999			_c28368 _d28368