Although "Operation Ice Breaking" Has Come to an End, When Will Drug Crime End?

Starting from the recent hit film and television "Operation Icebreaker", this article introduces some cases of the use of artificial intelligence and other technologies in anti-drug efforts, and explores what technology can do to help drug enforcement police with the development of modernization.

The recent hit TV series "Ice Breaking Operation" ended last week. With its clever plot and wonderful performances by veteran actors, this drug-related film and television series has earned a lot of reputation and popularity. Although the ending is a bit substandard, it does not prevent it from becoming the best domestic drama in recent times.

The real cases behind this drama are comparable to a magical drama.

On December 29, 2013, Guangdong police mobilized 3,000 police officers to conduct a comprehensive land, sea and air raid on Boshe Village in Jiaxi Town, Lufeng City, Guangdong Province. In one fell swoop, 18 criminal gangs were wiped out, 77 drug factories were closed down, 2.9 tons of methamphetamine and 260 kilograms of K powder were confiscated.

According to the latest report from the Public Security Department, there areMore than 20% of familiesDirectly or through equity participation in drug manufacturing and trafficking, the drugs produced by this small village accounted for 20% of the total drugs produced in the country at that time.40 % .

Whether it is a real case or in a movie, the drug police have experienced many difficulties in the process of solving the case. On the one hand, the whole villageClan power groups, it is difficult to obtain key evidence; on the other hand, there are also hiddenThe "protective umbrella" of evil forces.

Criminals are attracted to drugs because they are highly addictive and they can bring huge profits. In the face of piles of money, too many people are willing to take risks and even erase the boundaries between good and evil in their hearts. There are strict laws against drugs all over the world, but drug-related cases are still rampant, and drug enforcement police are always walking on the edge of a knife to carry out dangerous tasks.

How to better combat drug production and trafficking, reduce the burden of drug enforcement, and reduce the risks faced by drug enforcement police. Drug enforcement forces around the world have begun to widely introduce cutting-edge technologies, including artificial intelligence methods, as more advanced reconnaissance methods to assist in solving cases.

No. 1 drug enforcement officer: NLP locks down keywords for online drug trafficking

Nowadays, many drug transactions have been transferred to online platforms, where they spread information, establish contacts, complete payments, and other processes on social software. The new investigative method of drug police is to screen and lock keywords through various messages left by suspects and conversations in groups.

However, criminals are also very smart when it comes to online transactions.**Various code words and jargons are constantly updated within the criminal group, and the group also contains a large amount of interference information.**In the past, it was difficult for platforms to achieve effective supervision through police surveillance screening.

The technology of artificial intelligence, especially the development of natural language processing, can quickly identify the crime information from massive amounts of information.

According to foreign media reports,AI models for detecting drug trafficking have been released on Twitter, Facebook, and Instagram, which can accurately detect information about online drug transactions from content from users with significant suspicion.

For example, Twitter's anti-drug system has a core function of identifying drug trafficking activities in social information by learning new modifications and code words used by drug dealers on the platform, including various emoticons, symbols, and garbled codes mixed with prohibited information.

Facebook is also working with other organizations to develop algorithms based on artificial intelligence and machine learning to proactively identify basic information about drug sellers and buyers, help monitor the release of illegal information, and help combat cybercrime.

Instagram uses a similar approach. By learning and training from labeled posts, the model can quickly review millions of Instagram posts, focus on transaction information posted by drug dealers, and then make further accurate judgments before handing them over to the judicial authorities to catch them all.

Narcotics police officer number two: Electronic nose locates drugs in transit

Another way to check is to start with the logistics packages.

In the Netherlands, some drugs are delivered by parcel, but private parcels cannot be directly opened for inspection.

Based on his experience, former Dutch police officer Jean-Paul Kuijpers, in cooperation with the Netherlands Technical Security Association (DITTS) and the Ministry of Justice and Security, developed a technology to detect illegal packages. In addition to drugs, their targets also include explosives, lithium batteries and other items that can self-ignite.

They made an "electronic nose" for detecting gas molecules. This device is very sensitive and can find odorous drugs such as marijuana. Another method is to use chemical reagents to react. By wiping the package with a paper towel with chemical raw materials, it can be determined whether it contains drugs or objects that have been in contact with drugs.

If these two methods are combined with artificial intelligence analysis, the accuracy will be further improved.

In addition, they are also testing a new scanner that combines artificial intelligence algorithms with X-ray scanners to identify the parameters of objects, such as weight, density and other properties. It is expected that the model will learn to distinguish drugs in perspective images.

Drug enforcement officer number three: Checking the machinery at the source of drug production

In addition to making changes to the transaction, there is a better way, which is to block the production of drugs at the root.

Monitoring the distribution of raw materials or production processes and combining machine learning methods with data analysis and anomaly detection can effectively prevent the production of drugs.

Effective supervision and control of the raw materials or chemicals used to produce drugs can also be a means of combating drug crimes. For example, by using algorithms to establish a material monitoring network, AI can act as a detective to discover hidden crimes when abnormal fluctuations in certain sensitive chemical raw materials or when input and output of materials are not equal.

For example, in an early report, the policeSmart MeterThrough the analysis of users' electricity usage data, a person who was growing marijuana at home was caught. One clue behind this was that the cultivation of marijuana led to abnormally high electricity consumption.

The development of drones and computer vision can also help combat the cultivation of drug raw materials.

For example, the cultivation of opium poppies and marijuana is expressly prohibited by the state, but due to some old customs or lack of information, they are still illegally cultivated.

In some reports, police are already using drones, combined with plant identification software powered by machine learning algorithms, to detect these illegal plantings.

In addition, such asPlant Identification SoftwareWith the help of algorithms, users can take photos in the wild with their mobile phones and quickly and accurately determine whether suspected flowers and plants are opium poppies or other drugs, which helps to achieve drug detection.Universal supervision.

Using technology to participate in drug-related cases is a responsibility and an obligation

The most powerful aspect of artificial intelligence is its powerful data analysis and analytical capabilities, so AI is already playing an increasingly important role in drug channels that rely on online channels. With the continuous emergence of new technologies, the use of technology in blocking and combating drugs will become more and more mature.

But technology is neutral. As anti-drug technology continues to advance, drug trafficking methods are also emerging, becoming more technological and more covert. In addition, the temptation of drug trafficking has also driven many people into the pit.

There is a line in Netflix's hit drama "Narcos":Drugs are as unstoppable as a storm, but there is never a shortage of people trying to build fences in the storm.

May we have a cleaner life with the advancement of technology and the inspiration of justice.