Design of the pistol P1 weapon storage system shelf using fingerprint electronic system in the TNI-AD units

Subaktiar Prayogi, Dekki Widiatmoko, Mokhammad Syafaat, Dedi Pradigdo, Rafi Maulana Alfarizi, Aguk Sridaryono
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Abstract

One of the most important aspects of preventing illegal usage of firearms is safe storage. An inventive way to guarantee that only authorized owners can access the firearms is to incorporate fingerprint technology into the design of electric firearm storage systems. The use of fingerprint technology to increase the security of gun storage is desperately needed. However, issues with the finger's health, such as stains, cuts, and dampness, can impair the accuracy of the detection. This study employs a quantitative methodology using five fingerprint detection situations to test the accuracy of the system. The Arduino ESP was used as the foundation for the system implementation throughout the nine months that the research was conducted at the Kodiklatad Poltekad Electronics Laboratory. According to the test results, the system has 100% accuracy in identifying five different fingerprint detecting scenarios. But limitations are implied by the system's incapacity to identify damp, damaged, or dusty fingertips. Consequently, further thought must be given to these circumstances in order to improve system reliability. The design of an electric gun storage unit using Arduino ESP-based fingerprint technology has the potential to increase the security of gun storage, but more work is needed to address some issues that limit detection accuracy
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利用指纹电子系统设计印尼陆军-AD 部队手枪 P1 武器储存系统架
防止非法使用枪支的最重要方面之一是安全存储。要保证只有经过授权的枪支所有者才能使用枪支,一种别出心裁的方法就是在电动枪支存储系统的设计中采用指纹技术。使用指纹技术来提高枪支储存的安全性是非常必要的。然而,手指的健康问题,如污渍、割伤和潮湿,会影响检测的准确性。本研究采用定量方法,使用五种指纹检测情况来测试系统的准确性。在 Kodiklatad Poltekad 电子实验室进行研究的九个月中,系统的实施以 Arduino ESP 为基础。根据测试结果,该系统在识别五种不同的指纹检测场景时准确率达到 100%。但是,该系统无法识别潮湿、损坏或沾有灰尘的指尖,这就意味着存在局限性。因此,必须进一步考虑这些情况,以提高系统的可靠性。使用基于 Arduino ESP 的指纹技术设计的电动枪支储存装置有可能提高枪支储存的安全性,但还需要做更多的工作来解决限制检测准确性的一些问题
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