Crime scene prediction by detecting threatening objects using convolutional neural network
Cataloged from PDF version of thesis report.
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BRAC University
2017
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| Online dostop: | http://hdl.handle.net/10361/8373 |
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10361-8373 |
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10361-83732022-01-26T10:21:53Z Crime scene prediction by detecting threatening objects using convolutional neural network Nakib, Mohammad Khan, Rozin Tanvir Hasan, Md. Sakibul Uddin, Dr. Jia Department of Computer Science and Engineering, BRAC University Crime scene Convolutional neural network Cataloged from PDF version of thesis report. Includes bibliographical references (page 43-44). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Crime scene prediction without human intervention can have outstanding impact on computer vision. In this paper, we present CNN in the use of detect knife, blood and gun in order to reach a prediction whether a crime has occurred in a particular image. We emphasized on the accuracy of detection so that it hardly gives us wrong alert to ensure efficient use of the system. This paper use Non linearity ReLu, Convolutional Neural Layer, Fully connected layer and dropout function of CNN to reach a result for the detection. We use Tensorflow open source platform to implement CNN to achieve our expected output. This system can achieve the test accuracy of 90.2 % for the data sets we have that is very much competitive with other systems for this particular task. Mohammad Nakib Rozin Tanvir Khan Md. Sakibul Hasan B. Computer Science and Engineering 2017-07-30T10:21:05Z 2017-07-30T10:21:05Z 2017 4/13/2017 Thesis ID 13301044 ID 13101117 ID 13101145 http://hdl.handle.net/10361/8373 en BRAC University thesis 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. 44 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Crime scene Convolutional neural network |
| spellingShingle |
Crime scene Convolutional neural network Nakib, Mohammad Khan, Rozin Tanvir Hasan, Md. Sakibul Crime scene prediction by detecting threatening objects using convolutional neural network |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Uddin, Dr. Jia |
| author_facet |
Uddin, Dr. Jia Nakib, Mohammad Khan, Rozin Tanvir Hasan, Md. Sakibul |
| format |
Thesis |
| author |
Nakib, Mohammad Khan, Rozin Tanvir Hasan, Md. Sakibul |
| author_sort |
Nakib, Mohammad |
| title |
Crime scene prediction by detecting threatening objects using convolutional neural network |
| title_short |
Crime scene prediction by detecting threatening objects using convolutional neural network |
| title_full |
Crime scene prediction by detecting threatening objects using convolutional neural network |
| title_fullStr |
Crime scene prediction by detecting threatening objects using convolutional neural network |
| title_full_unstemmed |
Crime scene prediction by detecting threatening objects using convolutional neural network |
| title_sort |
crime scene prediction by detecting threatening objects using convolutional neural network |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/8373 |
| work_keys_str_mv |
AT nakibmohammad crimescenepredictionbydetectingthreateningobjectsusingconvolutionalneuralnetwork AT khanrozintanvir crimescenepredictionbydetectingthreateningobjectsusingconvolutionalneuralnetwork AT hasanmdsakibul crimescenepredictionbydetectingthreateningobjectsusingconvolutionalneuralnetwork |
| _version_ |
1814309618212405248 |