An automated approach to conduct effective on-site presumptive drug tests

Subrata Acharya, Reza Sarraf
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Abstract

Drug traffickers are active and always looking for new ways to mix drugs to avoid their detection and identification. One example is black cocaine, which is a mixture of cocaine base and cocaine hydrochloride and other additional substances. It is challenging for investigators to accurately identify the test for investigative purposes without conducting an on-site evaluation. Presumptive drug test is the preliminary on-site test, conducted by a crime scene investigative officer to detect the presence of a substance by changing color with a chemical reagent. The current approach is manual and relies heavily on the expertise of the officer conducting the test and is limited by their physical ability and other environmental factors. This research aims at developing a novel web-based solution to perform automated presumptive drug tests. The reporting and attestation and reporting are also fully automated. The solution includes real-time interactions between the on-site and the off-site investigative teams. The practical application of this approach is in the field of crime scene investigation both on-site and in the off-site laboratories. The application has been evaluated successfully with two nationally recognized forensic laboratories. Furthermore, a stand-alone hardware/software co-design approach (for security and privacy reasons) is being incorporated as am automated tool in the mobile vehicles of the investigative team.
一种自动化的方法来进行有效的现场推定药物测试
贩毒者很活跃,总是在寻找新的方法来混合毒品,以避免被发现和识别。一个例子是黑色可卡因,它是可卡因碱、可卡因盐酸盐和其他附加物质的混合物。对于调查人员来说,在不进行现场评估的情况下,准确地识别出用于调查目的的测试是一项挑战。推定药物测试是由犯罪现场调查人员进行的初步现场测试,通过化学试剂改变颜色来检测物质的存在。目前的方法是手动的,严重依赖于进行测试的官员的专业知识,并受到他们的身体能力和其他环境因素的限制。本研究旨在开发一种新颖的基于网络的解决方案,以执行自动推定药物测试。报告、证明和报告也是完全自动化的。该解决方案包括现场和非现场调查小组之间的实时交互。这种方法的实际应用是在现场和非现场实验室的犯罪现场调查领域。该应用程序已成功地评估了两个国家认可的法医实验室。此外,一种独立的硬件/软件协同设计方法(出于安全和隐私原因)正在作为一种自动化工具纳入调查小组的移动车辆中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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