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dc.contributor.authorSsenyonga, David
dc.contributor.authorTumubwiine, Anthony
dc.date.accessioned2022-03-28T06:11:04Z
dc.date.available2022-03-28T06:11:04Z
dc.date.issued2022-03-25
dc.identifier.citationSsenyonga, D. & Tumubwiine, A. (2022) Intelligent fire detection system. Unpublished undergraduate dissertation. Kampala, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/11351
dc.descriptionA dissertation submitted to the Department of Electrical and Computer Engineering for the partial fulfilment of the requirement for the award for the Degree of Bachelor of Science in Quantity Surveying of Makerere Universityen_US
dc.description.abstractThis project is aimed towards improving detection of a fire outbreak in a given place. The general objective of this project is to improve the performance of the existing smoke sensor technology in fire detection. The project is mainly based on multi-sensor technology and Arduino communication. In this project, the flame, smoke, and temperature sensors detect the physical conditions of a fire and convert them into electrical signals. These signals are fed into the Arduino UNO board on which the appropriate code was uploaded. The microcontroller on the Arduino UNO board processes the input signals and activates the necessary actuators. The actuators include two LED lights, buzzer, LCD screen, DC pump and GSM module. In absence of a fire, a green LED light is always on and the screen displays "NO FIRE". In case of a fire, a red LED light is turned on, the buzzer makes an alarm, the screen displays, "FIRE ALERT", the DC pumps out water to extinguish the fire and the GSM sends an alert message to the necessary phone numbers of the concerned. This project mainly focuses on residential and school buildings as opposed to business premises and factories which in most cases contain high valuable and costly assets and thus might require a fire detection solution with very high-performance standards.en_US
dc.language.isoenen_US
dc.publisherKampala, Makerere Universityen_US
dc.subjectFire detectionen_US
dc.subjectFireen_US
dc.subjectFire detection systemen_US
dc.titleIntelligent fire detection systemen_US
dc.typeThesisen_US


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