Predicting criminal activities analyzing video signal using machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
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Brac University
2021
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| 在線閱讀: | http://dspace.bracu.ac.bd/xmlui/handle/10361/14436 |
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10361-144362022-01-26T10:19:59Z Predicting criminal activities analyzing video signal using machine learning Sadman, Syed Md. Kabir, Tabassum Mostafa, Nairita Chowdhury, Ahmed Ashik Uddin, Jia Department of Computer Science and Engineering, Brac University Crime Video analysis Algorithms Machine learning Neural networks Computer algorithms. Data Mining This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 49-50). Criminology is a method that is used to perceive wrongdoing and criminal qualities. The crooks and the wrongdoing occasion likelihood can be overviewed with the help of criminology frameworks. Video analysis and machine learning tasks have been moving from inferring the present state to predicting the future state. Law enforcement agencies can work e ectively and respond faster if they have better knowledge about crime patterns in di erent geological points of a city. In this thesis, we proposed a system to predict criminal activities by using di erent neural networks and machine learning algorithms and approaches. The target of this proposed model is to break down dataset which comprise of various violations and anticipating the kind of crimes which may occur in future relying on di erent conditions. Contrasted with other existing models, we utilized another neural systems calculation called fastGRNN which is quicker and powerful. The experimentation is conducted on various datasets. Binary classi er, CNN, GRNN, Decision Tree, Support Vector Machine were used during experimentation. By implementing these algorithms, we came down to an accuracy of 89%. Syed Md. Sadman Tabassum Kabir Nairita Mostafa Ahmed Ashik Chowdhury B. Computer Science 2021-05-27T16:52:51Z 2021-05-27T16:52:51Z 2020 2020-04 Thesis ID 16101073 ID 16101130 ID 16101139 ID 16301128 http://dspace.bracu.ac.bd/xmlui/handle/10361/14436 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. 50 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Crime Video analysis Algorithms Machine learning Neural networks Computer algorithms. Data Mining |
| spellingShingle |
Crime Video analysis Algorithms Machine learning Neural networks Computer algorithms. Data Mining Sadman, Syed Md. Kabir, Tabassum Mostafa, Nairita Chowdhury, Ahmed Ashik Predicting criminal activities analyzing video signal using machine learning |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. |
| author2 |
Uddin, Jia |
| author_facet |
Uddin, Jia Sadman, Syed Md. Kabir, Tabassum Mostafa, Nairita Chowdhury, Ahmed Ashik |
| format |
Thesis |
| author |
Sadman, Syed Md. Kabir, Tabassum Mostafa, Nairita Chowdhury, Ahmed Ashik |
| author_sort |
Sadman, Syed Md. |
| title |
Predicting criminal activities analyzing video signal using machine learning |
| title_short |
Predicting criminal activities analyzing video signal using machine learning |
| title_full |
Predicting criminal activities analyzing video signal using machine learning |
| title_fullStr |
Predicting criminal activities analyzing video signal using machine learning |
| title_full_unstemmed |
Predicting criminal activities analyzing video signal using machine learning |
| title_sort |
predicting criminal activities analyzing video signal using machine learning |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://dspace.bracu.ac.bd/xmlui/handle/10361/14436 |
| work_keys_str_mv |
AT sadmansyedmd predictingcriminalactivitiesanalyzingvideosignalusingmachinelearning AT kabirtabassum predictingcriminalactivitiesanalyzingvideosignalusingmachinelearning AT mostafanairita predictingcriminalactivitiesanalyzingvideosignalusingmachinelearning AT chowdhuryahmedashik predictingcriminalactivitiesanalyzingvideosignalusingmachinelearning |
| _version_ |
1814309047121215488 |