Implementation of security system for bank using open CV and RFID

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Security is one of the major concerns in banking sector where we can adapt the latest techniques like face recognition and RFID we can provide better security policies. In this paper we have proposed a model with two major security techniques. The First method provides security for the locker room door by face recognition using OpenCV. Face recognition is a particular type of biometric system that can be used to analyze the obtained information and identify the user uniquely by the trained images. In this proposed model the images of customers are trained. A Microsoft Lifecam HD-3000 is placed outside the locker room. This camera detects the human face using Haar Cascade Classifier and recognizes a customer using LBPH Algorithm. If a trained customer tries to enter then door is unlocked. The customer name is uploaded to cloud. The second method provides security to the cashier cabin by using MFRC522 RFID Module which is very easy to access which consumes less time and more secured compared to the existing system. When an authorized tag is recognized the door is unlocked for certain time period and the userid is uploaded to the cloud. By using these two techniques we can provide security for locker room and cashier cabins in any banking sector.


  • Keywords


    Face Detection; Face Recognition; Haar Cascade Classifier; LBPH Algorithm; Open CV; RFID Module.

  • References


      [1] Blessed Joshua.A, Jenita Grace.J and Allan Mary George “Open CV Pattern Based Smart Bank Security System With Theft & Identification Using Android” 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) 2016.

      [2] Yongxiang Wu “Research on bank intelligent video image processing and monitoring control system based on OpenCV” International Conference on Architectural Systems and Interior Design (ICASID), IEEE.

      [3] Suad Haji and Asaf Varol “Real Time Face Recognition System (RTFRS)” 4th International Symposium on Digital Forensics and Security (ISDFS’16), 25-27 April 2016, Little Rock, AR.

      [4] Jignesh J.Patoliya and Miral “Face Detection based ATM Security System using Embedded Linux Platform’ in 2nd International Conference for Convergence in Technology (I2CT) 2017

      [5] Gaurav Chavan , Sourabh Dabke, Anup Ghandghe , Mrs.K.A.Musale “ BANK LOCKER SECURITY SYSTEM USING ANDROID APPLICATION” International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 02 Issue: 01 , Apr-2015.

      [6] Mutyunjaya Sahani, Chiranjiv Nanda, Abhijeet Kumar Sahu and Biswajeet Pattnaik “Web-Based Online Embedded Door Access Control and Home Security System Based on Face Recognition” International Conference on Circuit, Power and Computing Technologies [ICCPCT], 2015.

      [7] G.Sowjanya, S.Nagaraju “Design and Implementation Of Door Access Control and Security System Based On Iot” IEEE International Conference on Inventive Computation Technologies (ICICT) - Coimbatore, India, 2016.

      [8] Ishita Gupta, Varsha Patil and Chaitali Kadam “Face detection and recognition using Raspberry Pi” presented at IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), December 19-21, 2016 .

      [9] Hongshuai Zhang, Zhiyi Qu and Liping Yuan “A face recognition method based on LBP feature for CNN” presented at Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), March 25-26, 2017.

      [10] Jiakailin Wang, Jinjin Zheng and Shiwu Zhang ” A Face Recognition System Based on Local Binary Patterns and Support Vector Machine for Home Security Service Robot” Presented at 9th International Symposium on Computational Intelligence and Design (ISCID), December 10-11, 2016 .

      [11] Jiakailin Wang, Jinjin Zheng and Shiwu Zhang ” A Face Recognition System Based on Local Binary Patterns and Support Vector Machine for Home Security Service Robot” Presented at 9th International Symposium on Computational Intelligence and Design (ISCID), December 10-11, 2016 .

      [12] Shailaja A. Patil and Pramod j. Deore “Local Binary Pattern based face recognition system for automotive security” presented at International Conference on Signal Processing, Computing and Control (ISPCC), September 24-26, 2015.


 

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Article ID: 10290
 
DOI: 10.14419/ijet.v7i2.7.10290




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