Unusual Event Detection for Enhancing ATM Security

Authors

  • S. Swathi M.Tech. Student, Department of Computer Science and Engineering, RNS Institute of Technology, Bangalore, India
  • H. R. Shashidhara Associate Professor, Department of Computer Science and Engineering, RNS Institute of Technology, Bangalore, India

Keywords:

Accelerometer, Arduino Uno, ATM, CNN, DC-Motor, H-Bridge, Haar cascade, LCD display, Power supply, Vibration sensor

Abstract

Now-a-day’s providing security to the ATM Machine is the most challenging task for banks. The existing methods are difficulty to identify each bizarre situation occurs in the ATM Machine. The existing CCTV system will identify any abnormal event through video clips and it will not send any alert messages to the concerned bank offices and police department’s officials. The proposed method will provide much security to ATM machine and it is easy to detect the unusual event using modern technologies like Internet of things (IoT) and Machine Learning (ML). If any unusual event happens, automatically ATM door will be closed and unauthorized person cannot escape from the ATM premises. The system also sends alert messages to bank and police officials through E- Mail and SMS. The CNN algorithm is used for weapon detection and Haar Cascade algorithm used for face recognition.

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Published

14-08-2020

How to Cite

[1]
S. Swathi and H. R. Shashidhara, “Unusual Event Detection for Enhancing ATM Security”, IJRESM, vol. 3, no. 8, pp. 223–228, Aug. 2020.

Issue

Section

Articles