| 1 | Title of the Article | Fire Alarm System Through Smoke Detection |
| 2 | Author's name | Manya Sinha: B.Tech Scholar, Department of Computer Science and Engineering, Manav Rachna University, Faridabad, Haryana, India |
| 3 | Author's name | Shivank Solanki, Sudeep Batra, Dr. Yojna Arora, Abhishek Tewatia |
| 4 | Subject | Computer Science and Engineering |
| 5 | Keyword(s) | Fire Alarm System, Smoke, Fire Safety, Synthetic Materials |
| 6 | Abstract | A reliable fire alarm system (FAS) is crucial for timely reporting and responding to fires. While existing techniques can predict undesirable outcomes, they lack guidance on when and how workers should intervene to minimize the associated costs. Recent advancements in sensors, microelectronics, and information technology have significantly improved fire detection technologies. However, the prevalence of synthetic materials in modern homes has increased the danger of fire-related injuries and deaths due to the release of toxic fumes and gases, including carbon monoxide. This highlights the need for ongoing analysis and development of fire detection techniques to ensure the safety of occupants. |
| 7 | Publisher | Innovative Research Publication |
| 8 | Journal Name; vol., no. | International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-11 Issue-4 |
| 9 | Publication Date | July 2023 |
| 10 | Type | Peer-reviewed Article |
| 11 | Format | |
| 12 | Uniform Resource Identifier | https://ijircst.org/view_abstract.php?title=Fire-Alarm-System-Through-Smoke-Detection&year=2023&vol=11&primary=QVJULTExNDI= |
| 13 | Digital Object Identifier(DOI) | 10.55524/ijircst.2023.11.4.1 https://doi.org/10.55524/ijircst.2023.11.4.1 |
| 14 | Language | English |
| 15 | Page No | 1-4 |