Thumbprint-Based Financial Locker Framework using IOT

Jahnavi Gurrala, Rama Vamsi Swarna, S. Panda
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Abstract

The present paper discusses the development of a thumbprint-based financial security scheme for bank lockers that transmits photos of the person opening the locker. This may be accomplished in homes, workplaces, and banks. Everyone who accesses the bank locker should be concerned about security. We frequently forget or lose the key to our bank locker. The bank locker becomes extremely challenging to unlock in these circumstances. It prompts a completely autonomous system for detecting and managing locker rooms at banks. Our security system frequently picks up on prohibited access in the locker room area during robberies. When there is a robbery with a lack of evidence, the banks are unable to identify the thief using the prevalent human-operated security system. To ensure the utmost security of the bank locker room, we proposed an advanced system that identifies as well as restricts those who are attempting to access lockers illegally. The classic locker system that employs keys has been improved with the fingerprint-based locker system. Additionally, the keys need to be protected and might disappear if carelessness is present. results in the proposed system emphasizes an added security to the thumb-print system by including the automatic capture and sending of photograph. The work done here complements the efforts for improving security in banklocker system.
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使用物联网的基于指纹的金融锁框架
本文讨论了一种基于指纹的银行储物柜金融安全方案的开发,该方案可以传输打开储物柜的人的照片。这可以在家里、工作场所和银行完成。每个进入银行储物柜的人都应该注意安全。我们经常忘记或丢失银行储物柜的钥匙。在这种情况下,银行的储物柜变得极具挑战性。它催生了一个完全自主的系统,用于检测和管理银行的更衣室。我们的保安系统经常发现抢劫期间更衣室区域被禁止进入。当发生缺乏证据的抢劫案时,银行无法使用普遍存在的人工操作安全系统来识别小偷。为了确保银行更衣室的最大安全,我们提出了一种先进的系统,可以识别并限制那些试图非法进入储物柜的人。使用钥匙的经典储物柜系统已经改进为基于指纹的储物柜系统。此外,钥匙需要保护,如果粗心大意,钥匙可能会丢失。结果表明,该系统通过包括自动捕获和发送照片,增加了指纹系统的安全性。在此所做的工作补充了提高银行系统安全性的努力。
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