Smoke detection using deep Convolutional neural network
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
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| Dil: | English |
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Brac University
2021
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| Online Erişim: | http://hdl.handle.net/10361/14287 |
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10361-142872022-01-26T10:18:12Z Smoke detection using deep Convolutional neural network Niloy, Wahidul Hasan Ornab, Mostafa Kamal Saha, Saurav Uddin, Jia Department of Computer Science and Engineering, Brac University Deep convolutional neural network Computer vision VGG-19 Inception- v3 Smoke detection This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 28-30). In a densely populated country like Bangladesh, fire accidents have become a fre- quent disaster that primarily be formed as a consequence of unconsciousness among the people. Therefore, detection of smoke, is a must in order to have an earlier cau- tion before the damages caused by fire. Thereby, in this paper, we have approached a deep convolutional neural network in the identification of smoke from images by using the process of image processing. The detection of smoke images recognized as a difficult task for having of a larger differentiation in textures, colors and structures. In competing with the challenges of detecting smoke, the model has developed with the help of the methodology of image processing and computer vision, through the deep convolutional neural network in the identification of smoke images. We have succeeded to gain the accuracy in a sufficient ratio. Using the model of Deep CNN, \VGG-19" and \Inception-v3" we have gained the accuracy of 82.33% and 84.67%. Moreover, for reducing the overfitting problem, we have structured an increasing amount of training data sets through the data augmentation techniques. Thus, the Deep Convolutional Neural Network has been utilized to perform in a more accurate way by gathering the accuracy in a more preferable way in the procedure of smoke detection. B. Computer Science 2021-03-03T07:24:04Z 2021-03-03T07:24:04Z 2019 2019-08 Thesis ID 18341009 ID 1824120 ID 13101148 http://hdl.handle.net/10361/14287 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 30 pages. application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Deep convolutional neural network Computer vision VGG-19 Inception- v3 Smoke detection |
| spellingShingle |
Deep convolutional neural network Computer vision VGG-19 Inception- v3 Smoke detection Niloy, Wahidul Hasan Ornab, Mostafa Kamal Saha, Saurav Smoke detection using deep Convolutional neural network |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. |
| author2 |
Uddin, Jia |
| author_facet |
Uddin, Jia Niloy, Wahidul Hasan Ornab, Mostafa Kamal Saha, Saurav |
| format |
Thesis |
| author |
Niloy, Wahidul Hasan Ornab, Mostafa Kamal Saha, Saurav |
| author_sort |
Niloy, Wahidul Hasan |
| title |
Smoke detection using deep Convolutional neural network |
| title_short |
Smoke detection using deep Convolutional neural network |
| title_full |
Smoke detection using deep Convolutional neural network |
| title_fullStr |
Smoke detection using deep Convolutional neural network |
| title_full_unstemmed |
Smoke detection using deep Convolutional neural network |
| title_sort |
smoke detection using deep convolutional neural network |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/14287 |
| work_keys_str_mv |
AT niloywahidulhasan smokedetectionusingdeepconvolutionalneuralnetwork AT ornabmostafakamal smokedetectionusingdeepconvolutionalneuralnetwork AT sahasaurav smokedetectionusingdeepconvolutionalneuralnetwork |
| _version_ |
1814308614683230208 |