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The case study showcases the development of the anomaly detection algorithm to prevent robberies related to ATMs. It was developed as an additional feature of the video management software for banking institutions. For example, the algorithm identifies if the person or a group of persons proceeds to the ATM in masks, with gas balloons, or with other suspicious items, and generates an alert to the operator.
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