Mustapha, Mohamad Azrul Fahmi (2019) Early fire detection with alarm system using digital image processing. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Abstract
This project was about the early Fire Detection with Alarm System using Digital Image Processing. The main component that use was Raspberry Pi 3 that process the input from Surveillance Camera. Raspberry Pi 3 also act as connection between component of input and output. As nowadays, normal fire alarm system use smoke and heat sensor to detect fire. It will only detect when there was a heavy fire. Different from this project, surveillance camera act as the sensor to detect fire even with a minimum fire. The surveillance camera detect fire by capturing the algorithm of fire. The colour segment was the main point how the surveillance camera detect fire. Surveillance Camera will record the certain area and if there was a fire, the colour segment will be different. Raspberry Pi 3 will process when the RGB (Red, Green, Blue) colour change. The limit in colour to detect fire was 128 segment. If R-G>128 / R-B>128 it will detect that was fire. The temperature of fire also can be determine by colour of fire. The arrangement of colour from hot to hottest was based from faint red to white colour. The hottest fire was the white colour more then yellow. The Surveillance Camera was connected with USB cable to Raspberry Pi 3 and the monitor was connected to HDMI port. The alarm and LCD screen was connected to GPIO port by using GPIO cable to Raspberry Pi 3. Monitor and alarm as the output. The result should be the alarm ringing when there is fire.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Image processing digital techniques, Image processing, Fire detectors |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Library > Final Year Project > FTKEE |
| Depositing User: | Norfaradilla Idayu Ab. Ghafar |
| Date Deposited: | 14 Oct 2021 06:58 |
| Last Modified: | 26 Feb 2024 07:46 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/25389 |
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