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- W3048249612 abstract "There are a set of ATM attacks like physical attack, ATM Fraud, Computer and network attack.Most of the methods as in using the classifier to classify occurrences and doesn't use the video input. These optimization algorithms involve learning time and close attention to the training collection of data. The proposed solution uses a lower resolution USB device, and a prototype webcam. The web camera broadcasts live video, and the images are Recorded for processing the image. Open CV is used and our device's open source image processing algorithms. Suspicious activity throughout the ATM and is identified for the proposed algorithm using the methods described out below. If any suspicious event is occurred then the alarm is heard and the message is sent to the nearest crime stations." @default.
- W3048249612 created "2020-08-13" @default.
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- W3048249612 date "2020-01-01" @default.
- W3048249612 modified "2023-09-27" @default.
- W3048249612 title "SUSPECT ACTIVITY RECOGNITION USING IMAGE PROCESSING AND MACHINE LEARNING ALGORITHMS" @default.
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