G.V. Chalapathi Rao, R. Devender, M. Sai Kumar, V. Balaji
2023, Volume 7 Issue 3
INDUSTRIAL SAFETY SYSTEMS USING EMBEDDED SYSTEMS
AUTHOR(S)
G.V. Chalapathi Rao, R. Devender, M. Sai Kumar, V. Balaji
DOI: https://doi.org/10.46647/ijetms.2023.v07i03.031
ABSTRACT
Fire alarm systems are essential in alerting people before fire engulfs their homes. However, fire alarm systems, today, require a lot of wiring and labour to be installed. This discourages users from installing them in their homes. The proposed system is an ad-hoc network that is distributed over the house. This system consists of a microcontroller (ESP32) connected to an infrared flame sensor that continuously senses the surrounding environment to detect the presence of fire. And also MQ2 and MQ135 gas sensors are used for the detection of smoke and other toxic gases and alert them as per the condition. The microcontrollers create their own Wi-Fi network. Once fire is detected by a sensor, it sends a signal to a microcontroller that is triggered to send an notification to the user and alert the house by producing a local alarm. The user can also get information about the status of his home.
Page No: 241 - 246
References:
[1] Dai, Jiangpeng, Jin Teng, Xiaole Bai, Zhaohui Shen, and Dong Xuan. "Mobile phone based drunk driving detection." In Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2010 4th International Conference on-NO PERMISSIONS, pp. 1-8. IEEE, 2010.
[2] Bhuta, Pratiksha, Karan Desai, and Archita Keni. "Alcohol Detection and Vehicle Controlling." International Journal of Engineering Trends and Applications (IJETA) 2, no. 2 (2015): 92-97.
[3] Gupta, Abhishek, Shriram Ojha, Vikash Kumar, Vikrant Singh, Vipin Malav, and Ramnagariya Gramothan. "Alcohol Detection with Vehicle Controlling." International Journal of Engineering and Management Research 6 (2016).
[4] Goswami, Tanmoy D., Shrinivas R. Zanwar, and Zafar Ul Hasan. "Android based rush and drunk driver alerting system." International Journal of Engineering Research and applications, Page (s) (2014): 1-4.
[5] Phalak, Piyush Vinay, Shashank Kowekar, and Shruti Joshi. "Smartphone and Sensor Based Drunk Driving Prevention System."
[6] Sarkar, Dwipjoy, and Atanu Chowdhury. "A real time embedded system application for driver drowsiness and alcoholic intoxication detection." International Journal Of Engineering Trends and Technology (IJETT) 10 (2014).
[7] Savania, Vijay, Hardik Agravata, and Dhrumil Patela. "Alcohol Detection and Accident Prevention of Vehicle." International Journal of Innovative and Emerging Research in Engineering Vol.2, no. 3 (2015),pp. 55-59.
[8] Deshmukh, S. V., D. P. Radake, and K. N. Hande. "Driver fatigue detection using sensor network." Int. J. Eng. Sci. Technol (2011): 89-92.
[9]Albert Mayan J, Kuldeep Anand D.S, Neha Sadhvi,"Efficient and secure server migration on cloud storage with VSM and dropbox services", International Conference on Information Communication and Embedded Systems (ICICES), Chennai , pp. 1-5,2017
[10]B.Bharathi and Mahesh kumar (2016), „Non invasive BG scrutinizer system‟, Global Journal of Pure and Applied Mathematics, vol.12, No: 8, pp. 5123 – 5125.
[11]Surendar E, Thomas V.M, Posonia A.M ,"Animal tracking using background subtraction on multi threshold segmentation ", Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT, 2016.
[12] Mitsubayashi, Kohji, et al. "Biochemical gassensor (biosniffer) for breath analysis after drinking." SICE 2004 Annual Conference. Vol.1.IEEE, 2004. 2. "Smoke Alarms in U.S. Home Fires". nfpa.org. September 2015. Archived from the original on 2017-07-29. Retrieved 2017-07-28.
How to Cite This Article:
G.V. Chalapathi Rao, R. Devender, M. Sai Kumar, V. Balaji
.INDUSTRIAL SAFETY SYSTEMS USING EMBEDDED SYSTEMS
. ijetms;7(3):241-246. DOI: 10.46647/ijetms.2023.v07i03.031