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Individual Cloud-Based Fingerprint Operation Platform for Latent Fingerprint Identification Using Perovskite Nanocrystals as Eikonogen
ACS Applied Materials & Interfaces ( IF 8.3 ) Pub Date : 2020-03-05 , DOI: 10.1021/acsami.9b22251
Menglu Li 1 , Tian Tian 1 , Yujing Zeng 1 , Sha Zhu 2 , Jianyang Lu 1 , Jie Yang 1 , Chao Li 3 , Yongmei Yin 2 , Genxi Li 1, 4
Affiliation  

Fingerprint formed through lifted papillary ridges is considered the best reference for personal identification. However, the currently available latent fingerprint (LFP) images often suffer from poor resolution, have a low degree of information, and require multifarious steps for identification. Herein, an individual Cloud-based fingerprint operation platform has been designed and fabricated to achieve high-definition LFPs analysis by using CsPbBr3 perovskite nanocrystals (NCs) as eikonogen. Moreover, since CsPbBr3 NCs have a special response to some fingerprint-associated amino acids, the proposed platform can be further used to detect metabolites on LFPs. Consequently, in virtue of Cloud computing and artificial intelligence (AI), this study has demonstrated a champion platform to realize the whole LFP identification analysis. In a double-blind simulative crime game, the enhanced LFP images can be easily obtained and used to lock the suspect accurately within one second on a smartphone, which can help investigators track the criminal clue and handle cases efficiently.

中文翻译:

基于钙钛矿纳米晶作为Eikonogen的潜在指纹识别的基于单个云的指纹操作平台

通过抬高的乳头状隆起形成的指纹被认为是个人识别的最佳参考。但是,当前可用的潜在指纹(LFP)图像通常分辨率较差,信息程度较低,并且需要繁琐的步骤进行识别。在本文中,已经设计和制造了一个基于云的单独的指纹操作平台,以使用CsPbBr 3钙钛矿纳米晶体(NCs)作为真核生物来实现高清LFP分析。而且,由于CsPbBr 3NC对某些与指纹相关的氨基酸有特殊反应,拟议的平台可进一步用于检测LFP的代谢产物。因此,借助云计算和人工智能(AI),本研究展示了一个实现完整LFP识别分析的冠军平台。在双盲模拟犯罪游戏中,可以轻松获得增强的LFP图像,并将其用于在智能手机上在一秒钟内准确锁定犯罪嫌疑人,这可以帮助调查人员有效地追踪犯罪线索并处理案件。
更新日期:2020-03-05
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