FIRE DETECTION SYSTEM FOR WAREHOUSE ASSET PROTECTION

Mohd Murtuza Ateeque Sheikh; Vipul Lande; Parnika Shahu; Ayush Kabra; Akash Kumar Singh

FIRE DETECTION SYSTEM FOR WAREHOUSE ASSET PROTECTION

April 2020

Vol-6, Issue-2

Paper ID: 11880

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Electronics and Communication Engineering

Keywords

Fire detection Haar Cascade Machine Learning Raspberry Pi OpenCV Python Numpy.

Abstract

This paper emphasizes the use of Haar cascade machine learning object detection for identifying the presence of fire in a warehouse area. A data set of numerous positive image (showing fire) and numerous negative images (not having fire) is trained and saved in the form of an XML file. We are using Raspberry Pi for running the program which is scripted in Python and utilizing the libraries of OpenCV and Numpy. The feed is taken from a remote surveillance IP camera in real time and sent to the Raspberry Pi where the algorithm breaks it into frames, each frame undergoes the classification and if presence of fire is detected then necessary flags are raised for further decision making. Raspberry Pi is used to act as a separate processing element and to avoid putting strain on the existing surveillance processing unit. We used both RPi3 and RPi4 to estimate various performance parameters as well as various types of cameras were used such as Pi-Cam, ESP32-Cam, offline videos from smart phones.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Mohd Murtuza Ateeque Sheikh	Shri Ramdeobaba College Of Engineering and Management
2	Vipul Lande	Shri Ramdeobaba College Of Engineering and Management
3	Parnika Shahu	Shri Ramdeobaba College Of Engineering and Management
4	Ayush Kabra	Shri Ramdeobaba College Of Engineering and Management
5	Akash Kumar Singh	Shri Ramdeobaba College Of Engineering and Management

How to Cite

Use the following formats to cite this article in your research.

APA Style

Sheikh, Mohd Murtuza Ateeque, Lande, Vipul, Shahu, Parnika, Kabra, Ayush, & Singh, Akash Kumar (2020). FIRE DETECTION SYSTEM FOR WAREHOUSE ASSET PROTECTION. International Journal of Advance Research and Innovative Ideas In Education, 6(2), 1620-1624.

MLA Style

Sheikh, Mohd Murtuza Ateeque, et al. "FIRE DETECTION SYSTEM FOR WAREHOUSE ASSET PROTECTION." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, 2020, pp. 1620-1624.

IEEE Style

Mohd Murtuza Ateeque Sheikh, Vipul Lande, Parnika Shahu, Ayush Kabra, and Akash Kumar Singh, "FIRE DETECTION SYSTEM FOR WAREHOUSE ASSET PROTECTION," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, pp. 1620-1624, 2020.

Vancouver Style

Sheikh Mohd Murtuza Ateeque, Lande Vipul, Shahu Parnika, Kabra Ayush, Singh Akash Kumar. FIRE DETECTION SYSTEM FOR WAREHOUSE ASSET PROTECTION. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(2):1620-1624.

Harvard Style

Sheikh, Mohd Murtuza Ateeque, Lande, Vipul, Shahu, Parnika, Kabra, Ayush, & Singh, Akash Kumar (2020) 'FIRE DETECTION SYSTEM FOR WAREHOUSE ASSET PROTECTION', International Journal of Advance Research and Innovative Ideas In Education, 6(2), pp. 1620-1624.

Chicago Style

Sheikh, Mohd Murtuza Ateeque, et al. "FIRE DETECTION SYSTEM FOR WAREHOUSE ASSET PROTECTION." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 1620-1624.

Turabian Style

Sheikh, Mohd Murtuza Ateeque, et al. "FIRE DETECTION SYSTEM FOR WAREHOUSE ASSET PROTECTION." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 1620-1624.