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Title
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A Proposed Technique for Preventing Criminal Attack
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Author
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Gamal H. Eladl
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| Citation |
Vol. 26 No. 7 pp. 133-137
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Abstract
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Today, visitors of bank systems are growing and securing its important buildings and their staffs are become very essential. Although, all banks have different rigid physical security systems with the support of many men's security bodyguards with monitoring cameras but there are large numbers of attacks, crimes, and victims. Moreover, crime¡¯s execution doesn't need more time to happen. So, this paper introduces a proposed technique in order to prevent any bank teller from suddenly dead. The proposed technique converts the bank teller's predefined face emotion (secret key) into a silent alert and sending a warning/alert message such as an SMS message to the bank security staff. The proposed technique is based on Artificial Neural Network (ANN) that will be used to detect the known bank teller's face emotion (secret key) and convert it into a silent alert with the assistance of high capabilities of the smart cameras that will be used as a pattern recognition system. The proposed technique will be helpful, more secured rather than the existing model. It will be used to prevent crime execution in all bank systems and securing their bank staffs.
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Keywords
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Criminal Attack, Face emotion, ANNs, Smart Camera, Bank system..
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URL
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http://paper.ijcsns.org/07_book/202607/20260718.pdf
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