1. Unusual event detection in ATM using machine learning.
- Author
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Soundarya, Reddy, Bunkumeedi Pooja, Anusha, Akshitha, and Shankar, Ananda
- Subjects
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AUTOMATED teller machines , *MACHINE learning , *COVID-19 pandemic , *PROBLEM solving , *MEDICAL masks , *COMPUTER vision - Abstract
This paper describes the detection of unusual event that occurs in ATM machine. ATM is a simple source for people to get their money in a faster way. Also, there are many thefts and crime happening in ATM. The COVID-19 outbreak is the toughest challenge we have faced. The main precautions to avoid the transmission of virus are to wear a mask and maintaining the social distance between us. Here we introduce a system to solve such problems by using a computer vision to keep track of activity and detect violations (Not Wearing Mask) and alerts a mail with violation photo attached to concerned authority. In addition to this object detection and weapon detection is also appended. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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