Machine Learning Model Training and Practice: A Study on Constructing a Novel Drug Detection System

Abstract

Drugs, AIDS and terrorism are the three major public hazards in the world. Drug abuse seriously endangers social security and human life and health. The World Drug Report 2023 shows that the continued record supply of illicit drugs and increasingly flexible trafficking networks are exacerbating the global crisis and posing challenges for health services and law enforcement responses. The number of people injecting drugs worldwide in 2021 is estimated to be 13.2 million, 18% higher than previous estimates. At present, the world drug control situation is very serious, and it is necessary to increase the means to solve the drug problem and curb the spread of drugs, and efficient and accurate drug detection technology plays a very important role in drug control work. NPS, also known as "planning drugs" or "laboratory drugs", is a drug analogue obtained by the chemical structure modification of controlled drugs by criminals in order to evade the crackdown. It has similar or stronger excitatory, hallucinogenic, narcotic and other effects with controlled drugs, and has become a third-generation drug popular in the world after traditional drugs and synthetic drugs. Therefore, through the drug detection technology based on artificial intelligence machine learning technology, the current development of AI as a "drug detector" and the future space are analyzed.