Satish, Y.C.Rudra, B.2026-02-062021Advances in Intelligent Systems and Computing, 2021, Vol.1177, , p. 21-2921945357https://doi.org/10.1007/978-981-15-5679-1_3https://idr.nitk.ac.in/handle/123456789/30518Image processing in a surveillance video has been a challenging task in research and development for several years. Crimes in Automated Teller Machine (ATM) is common nowadays, in spite of having a surveillance camera inside an ATM as it is not fully integrated to detect crime/theft. On the other hand, we have many image processing algorithms that can help us to detect the covered faces, a person wearing a helmet and some other abnormal features. This paper proposes an alert system, by extracting various features like face-covering, helmet-wearing inside an ATM system to detect theft/crime that may happen. We cannot judge theft/crime as it may happen at any time but we can alert the authorized persons to monitor the video surveillance. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.Automated teller machineImage processingSurveillance video