Modern techniques for identification and evacuation of fires are required because they represent a serious risk to human life, belongings, including the surroundings. In order to tackle this scenario, this research project presents Aegis Flare, IoT based autonomous rescuer. Aegis Flare uses OpenCV analyzing images to automatically identify flames and initiate immediate action to control flames away. By constantly tracking and utilizing Internet of Things components for communication, the architecture improves rescue. This document gives an extensive overview about Aegis Flare's architecture, parts, implementation, and proficiency evaluation.
Badii A, Carboni D, Pintus A, Piras A, Serra A, Tiemann M, et al. CityScripts: Unifying Web, IoT and Smart City Services in a Smart Citizen Workspace. J Wirel Mob Networks Ubiquitous Comput Dependable Appl. 2013;(3):58–78.
2.
Barmpoutis P, Stathaki T, Dimitropoulos K, Grammalidis N. Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures. Remote Sensing. 2020;12(19):3177.
3.
Bhuvaneswari C, Kavitha M, Memala WA, Pushpavalli M. Implementation of Intelligent Residential Fire Extinguisher System. 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT). IEEE; 2022. p. 1364–8.
4.
Biswas A. Modelling an innovative machine learning model for student stress forecasting. Global Perspectives in Management. 2024;2(2):22–30.
5.
A Novel Portable Smart Prayer Assistant Using RFID. International Journal of Pharmaceutical Research. 2020;12(01).
6.
Boopathy E, Appa M, Pragadeswaran S, Raja D, Gowtham M, Kishore R, et al. A Data driven approach through IOMT based patient healthcare monitoring system. Archives for Technical Sciences/Arhiv za Tehnicke Nauke. 2024;
7.
Veera Boopathy E, Sathya S, Vennila R, Subhasree P, Swathi S. High Efficient IoT based modern soil composition identifier for smart yield farming. Journal of Physics: Conference Series. 2019;1362:012005.
8.
E VB, M S, N SV, S K, R D, P H, et al. LORAWAN BASED COALMINERS RESCUE AND HEALTH MONITORING SYSTEM USING IOT. Archives for Technical Sciences. 2024;2(31):213–9.
9.
Cervantes A, Garcia P, Herrera C, Morales E, Tarriba F, Tena E, et al. A Conceptual Design of a Firefighter Drone. 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE; 2018. p. 1–5.
10.
P C, Venusamy K, S N, EL J, Vickyath S. Design and Implementation of IoT based Multi Degree Rotating Fire Extinguisher System. 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC). IEEE; 2023. p. 1382–6.
11.
Chaoxia C, Shang W, Zhang F, Cong S. Weakly Aligned Multimodal Flame Detection for Fire-Fighting Robots. IEEE Transactions on Industrial Informatics. 2023;19(3):2866–75.
12.
Thou-Ho Chen, Ping-Hsueh Wu, Yung-Chuen Chiou. An early fire-detection method based on image processing. Vol. 3, 2004 International Conference on Image Processing, 2004. ICIP ’04. IEEE; p. 1707–10.
13.
Cheng MY, Chiu KC, Hsieh YM, Yang IT, Chou JS, Wu YW. BIM integrated smart monitoring technique for building fire prevention and disaster relief. Automation in Construction. 2017;84:14–30.
14.
Gale MG, Cary GJ, Van Dijk AIJM, Yebra M. Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour. Remote Sensing of Environment. 2021;255:112282.
15.
Gaur A, Singh A, Kumar A, Kulkarni KS, Lala S, Kapoor K, et al. Fire Sensing Technologies: A Review. IEEE Sensors Journal. 2019;19(9):3191–202.
16.
Giji Kiruba D, Benita J, Rajesh D. A Proficient Obtrusion Recognition Clustered Mechanism for Malicious Sensor Nodes in a Mobile Wireless Sensor Network. Indian Journal of Information Sources and Services. 2023;13(2):53–63.
17.
Hu Y, Zhan J, Zhou G, Chen A, Cai W, Guo K, et al. Fast forest fire smoke detection using MVMNet. Knowledge-Based Systems. 2022;241:108219.
18.
Huang X, Du L. Fire Detection and Recognition Optimization Based on Virtual Reality Video Image. IEEE Access. 2020;8:77951–61.
19.
Jiang H. Mobile Fire Evacuation System for Large Public Buildings Based on Artificial Intelligence and IoT. IEEE Access. 2019;7:64101–9.
20.
Khan A, Aesha AA, Aka JS, Rahman SMF, Rahman MdJU. An IoT Based Intelligent Fire Evacuation System. 2018 21st International Conference of Computer and Information Technology (ICCIT). IEEE; 2018.
21.
Kumar DD, Bharathraj B, Vishak VN, Jasith S, Raja L. IoT Based Fire Protection System. 2023 4th International Conference on Signal Processing and Communication (ICSPC). IEEE; 2023. p. 353–7.
22.
Kumar V, Gupta B, Ramakuri SK. Wireless body area networks towards empowering real-time healthcare monitoring: a survey. International Journal of Sensor Networks. 2016;22(3):177.
23.
Li YZ, Ingason H, Arvidson M, Försth M. Performance of various water-based fire suppression systems in tunnels with longitudinal ventilation. Fire Safety Journal. 2024;146:104141.
24.
Li YZ, Ingason H. Influence of fire suppression on combustion products in tunnel fires. Fire Safety Journal. 2018;97:96–110.
25.
Lorincz K, Malan DJ, Fulford-Jones TRF, Nawoj A, Clavel A, Shnayder V, et al. Sensor Networks for Emergency Response: Challenges and Opportunities. IEEE Pervasive Computing. 2004;3(4):16–23.
26.
Majumder S, O’Neil S, Kennedy R. Smart apparatus for fire evacuation — An IoT based fire emergency monitoring and evacuation system. 2017 IEEE MIT Undergraduate Research Technology Conference (URTC). IEEE; 2017. p. 1–4.
27.
Nandy M, Dubey A. Effective Surveillance of Water Quality in Recirculating Aquaculture Systems through the Application of Intelligent Biosensors. Natural and Engineering Sciences. 2024;9(2):234–43.
28.
Lakshmi Narayanan S, Kasiselvanathan M, Gurumoorthy KB, Kiruthika V. Particle swarm optimization based artificial neural network (PSO-ANN) model for effective k-barrier count intrusion detection system in WSN. Measurement: Sensors. 2023;29:100875.
29.
Nižetić S, Šolić P, López-de-Ipiña González-de-Artaza D, Patrono L. Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future. Journal of Cleaner Production. 2020;274:122877.
30.
Pachipala Y, Kavya Ch, Dinesh RV. Smart Evacuation Alert System using IoT. 2022 International Conference on Electronics and Renewable Systems (ICEARS). IEEE; 2022. p. 550–4.
Paulraj D, R L, Jayasudha T, Ishwarya Niranjana M, Daniya T, Daniel Shadrach F. Blockchain-based Wireless Sensor Network Security Through Authentication and Cluster Head Selection. 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS). IEEE; 2023. p. 1–5.
33.
Peruzzi G, Pozzebon A, Van Der Meer M. Fight Fire with Fire: Detecting Forest Fires with Embedded Machine Learning Models Dealing with Audio and Images on Low Power IoT Devices. Sensors. 2023;23(2):783.
34.
Prasanna DrDSJD, Punitha DrK, Raju DrMN, Rahman DrF, Yadav KK. An Artificial Intelligence-based, Big Data-aware, Long-lasting Security Solution for the Internet of Things. Journal of Internet Services and Information Security. 2024;14(3):393–402.
35.
Ramadan MNA, Basmaji T, Gad A, Hamdan H, Akgün BT, Ali MAH, et al. Towards early forest fire detection and prevention using AI-powered drones and the IoT. Internet of Things. 2024;27:101248.
36.
Ran H, Sun L, Gao X. Influences of intelligent evacuation guidance system on crowd evacuation in building fire. Automation in Construction. 2014;41:78–82.
37.
Reddy AMV, Kumar AVUP, Janakiram D, Kumar GA. Wireless sensor network operating systems: a survey. International Journal of Sensor Networks. 2009;5(4):236.
38.
Sarvari A, Mazinani SM. A new tunnel fire detection and suppression system based on camera image processing and water mist jet fans. Heliyon. 2019;5(6):e01879.
39.
Shaharuddin S, Abdul Maulud KN, Syed Abdul Rahman SAF, Che Ani AI, Pradhan B. The role of IoT sensor in smart building context for indoor fire hazard scenario: A systematic review of interdisciplinary articles. Internet of Things. 2023;22:100803.
40.
Subbaiah S, Agusthiyar R, Kavitha M, Muthukumar VP. ARTIFICIAL INTELLIGENCE FOR OPTIMIZED WELL CONTROL AND MANAGEMENT IN SUBSURFACE MODELS WITH UNPREDICTABLE GEOLOGY. Archives for Technical Sciences. 2024;31(2):140–7.
41.
Szpakowski D, Jensen J. A Review of the Applications of Remote Sensing in Fire Ecology. Remote Sensing. 2019;11(22):2638.
42.
Töreyin BU, Dedeoğlu Y, Güdükbay U, Çetin AE. Computer vision based method for real-time fire and flame detection. Pattern Recognition Letters. 2006;27(1):49–58.
43.
Ya’acob N, Syamirza Mohd Najib M, Tajudin N, Laily Yusof A, Kassim M. Image Processing Based Forest Fire Detection using Infrared Camera. Journal of Physics: Conference Series. 2021;1768(1):012014.
44.
Yoo J, Kim JH, Kim D. Fire extinguishing device using nanoenergetic materials and dry water. Powder Technology. 2024;443:119935.
45.
Zhan J, Hu Y, Zhou G, Wang Y, Cai W, Li L. A high-precision forest fire smoke detection approach based on ARGNet. Computers and Electronics in Agriculture. 2022;196:106874.
46.
Zhang L, Lu C, Xu H, Chen A, Li L, Zhou G. MMFNet: Forest Fire Smoke Detection Using Multiscale Convergence Coordinated Pyramid Network With Mixed Attention and Fast-Robust NMS. IEEE Internet of Things Journal. 2023;10(20):18168–80.
47.
Zhang X, Jiang Y, Wu X, Nan Z, Jiang Y, Shi J, et al. AIoT-enabled digital twin system for smart tunnel fire safety management. Developments in the Built Environment. 2024;18:100381.
48.
Zheng W, Zhang X, Wang Z fu. Experiment Study of Performances of Fire Detection and Fire Extinguishing Systems in a Subway Train. Procedia Engineering. 2016;135:393–402.
Citation
Copyright
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.
,
