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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19456
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
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Published Paper Details
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| Paper Title: | Identification and detection of abnormal activity in ATMS using deep learning |
| Authors Name: | SHARATH BABU CG , Dr.ANITHA DEVI.M.D , Dr.MZ KURIAN |
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| Author Reg. ID: |
IJRTI_185257
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| Published Paper Id: | IJRTI2302037 |
| Published In: | Volume 8 Issue 2, February-2023 |
| DOI: | |
| Abstract: | In the course of our daily lives, we are witness to a significant amount of dishonesty and theft that goes unreported. The automated teller machine is the scene of most major crimes. The purpose of this research is to present a new supervised method that can detect odd occurrences in restricted spaces such as ATM rooms, server rooms, and other such places. One of the technologies that are used to make up the technical base is abnormal behaviour detection using image processing. The purpose of the work that is being proposed is to establish a technical base that will support a social infrastructure that is both more secure and more convenient for its users. The robbery will be prevented as a result of this, and the perpetrator of the robbery will be easier to find. The use of this method will result in an end to robberies as well as a significant decrease in the number of complaints received. Because of this, the results of the suggested framework indicate that the framework is capable of delivering a high level of security to the ATM System's. |
| Keywords: | ATM, Image processing, real time, microcontroller, crime, abnormal events |
| Cite Article: | "Identification and detection of abnormal activity in ATMS using deep learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 2, page no.224 - 228, February-2023, Available :http://www.ijrti.org/papers/IJRTI2302037.pdf |
| Downloads: | 000205114 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2302037
Registration ID:185257
Published In: Volume 8 Issue 2, February-2023
DOI (Digital Object Identifier):
Page No: 224 - 228 Country: koratagere, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2302037 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2302037 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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