Treffer: ATM Surveillance System using Machine Learning.

Due to use of outdated technology and lack of basic security features ATM machines are becoming prime targets for thieves and hackers. Nowadays there are a lot of crimes occurring in the ATM sector. Thieves have come up with many different ways to trick ATMs, manipulating and forcing people into spitting out large amounts of cash. So we have come to the idea of making this project from our observations of life incidents happening in the world. This project ATM Security using Machine Learning provides some security measures for ATM transactions. This project is used to detect masks, helmets, person overstays, person tracking, face detection, and animal detection. Here, OpenCV and TensorFlow were used as platforms, Python language was used for deep learning techniques, and Keras API was used for object detection. Email sends alerts to nearby banks and police stations. [ABSTRACT FROM AUTHOR]

Copyright of Grenze International Journal of Engineering & Technology (GIJET) is the property of GRENZE Scientific Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)