{"title":"Thumbprint-Based Financial Locker Framework using IOT","authors":"Jahnavi Gurrala, Rama Vamsi Swarna, S. Panda","doi":"10.1109/ICAIA57370.2023.10169516","DOIUrl":null,"url":null,"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.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIA57370.2023.10169516","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.