To prevent incidents and problems before they occur, it is important to catch suspicious persons in advance and to take proactive measures. In this article, a security advisor with 12 years of experience in the security industry explains the "5 common behavior patterns of suspicious persons" and the latest AI security.
The most ideal situation in the security field is to prevent harmful problems and accidents before they occur. Knowing the trends of incidents from past troubles and accidents and taking specific measures can help prevent them from happening in the first place.
In this article, focusing on "suspicious behavior," Asilla's security advisor, Mr. Abeida, explains the key points about suspicious behavior patterns and trends that security guards should be aware of.
Asilla Corporation Security Advisor
SadakatsuAbeta
Sadakatsu has been active in the security industry for 12 years, and is a security expert with a wide range of experience in operations from site start-up to management and guidance. He has always demonstrated his problem-solving skills along with the changes in society, and has joined Asilla Corporation, a provider of AI security systems, in 2022, utilizing the in-depth knowledge and experience he has cultivated in the industry. Currently, as a security advisor, he is proposing and supporting various measures to formulate and solve corporate security issues.
The following five patterns of behavior are common among suspicious persons.
Staying in the same place for a long time
Excessive avoidance of public attention
Looking around for something
Keeps his or her hands in pockets or bags
Moving in a different way from others.
Each of these behaviors will be explained in detail along with its purpose.
One of the most common behavior patterns of suspicious people is to stay in the same place for a long period of time.
They may be trying to calm themselves down before taking action, or they may be watching for something.
Of course, there is a great possibility that the general public is taking a break, but be careful if you notice any discomfort in their behavior.
If they are expressionless without looking at their smartphones or other devices, or if they are scurrying around busily looking at their surroundings, there is a high possibility that they have a purpose other than to rest, so be careful.
If you see someone who is excessively avoiding public attention, you should be wary.
The reason, of course, is to avoid having their faces recognized and recorded on the spot.
For example, if a person glances at a security camera and hides in the shadows, or hides his/her face with a mask or hat, it is best to be careful.
However, there are a few cases such as hay fever, ultraviolet rays, or being a celebrity and wanting to avoid exposure, so it is recommended to consider a combination of other factors and make a decision.
A person who is constantly watching his surroundings may be looking for an opportunity to do something, or he may be checking for an escape route, for example.
In either case, it is still a premonitory behavior to do something, so the guard should keep a close watch on them.
It is also possible that the person may be lost, so it would be very beneficial for the guard's job to talk to the person to prevent any trouble.
If you always have your hand in your pocket or bag, you may be carrying a hazardous material.
They want to prevent damage or malfunction of hazardous materials, and they want to be ready to take them out at a moment's notice. If a person is constantly reaching into his or her pocket or bag, he or she may feel uncomfortable unless he or she is in constant contact with it.
If someone is unnaturally hands-free from their pockets or bags, they may be hiding something inside that they want to prioritize over the inconvenience of daily activities.
As such, you should take immediate action against someone who is clearly hiding something.
Most people move in a somewhat patterned way unless they have some special purpose .
For example, in the case of common activities such as looking for a store in a shopping mall or sitting on a bench because they are tired, the way most people move and behave is consistent.
And since most facilities and buildings are designed for human conduction, what movements people make are even more limited.
If someone moves in a different way, it is highly likely that he or she has a purpose other than the mundane. Detecting such discrepancies quickly is very important to avoid problems before they occur.
In conjunction with the behavior patterns described in the previous section, be wary of people who fit the following three tendencies or characteristics.
・Uncomfortable in appearance, such as personal belongings or clothing.
・The face is hidden more than necessary.
・They are dressed in clothes that seem to be easy to move around in.
This is also explained in detail with reasons.
It has been publicized in past incidents that many suspicious persons had belongings and clothing that were not appropriate for the location. In fact, the material on counter-terrorism issued by the Tokyo Metropolitan Police Department also explains the importance of keeping one's antennae up for anything out of place.
For example,
Wearing a cap deeper than necessary in a shopping mall (indoors), or wearing sunglasses even at night.
Wearing a cap that has no distinctive features such as manufacturer, etc. and is of a single color (black).
Wearing clothes that are not appropriate for the location or climate.
The person is hiding something under his/her clothes, or his/her appearance or behavior is unnatural.
Although there are many reasons for people to dress inappropriately, one of them is that they have come for a completely different purpose from other people. Therefore, beware of people who feel uncomfortable in their belongings or clothing with respect to the place.
Source: Metropolitan Police Department website Threats to the Peace
https://www.keishicho.metro.tokyo.lg.jp/kurashi/heion/antep_mpd.files/partnership2.pdf
The first thing that people who want to avoid being seen excessively tend to do is to "hide their face and body shape.
In particular, there are many cases in which people excessively hide their faces, which are unlikely to resemble others, with masks, hats, sunglasses, and the like. Although not all people who hide their faces have criminal intent, it is recommended to consider it as one of the factors to judge whether a person is suspicious or not.
Finally, one of the most common characteristics of suspicious people is that they are dressed for ease of movement.
This is related to the above-mentioned discomfort in their belongings and clothing, and the reason is "simply to make it easier to escape after doing something. Note, however, that if the subject is desperate, etc., there may be a pattern where the subject does not intend to escape and this part of the pattern does not apply.
We have shown you how to spot a suspicious person, but there are rare people for whom these behavior patterns and characteristics do not surface.
In such cases, it is very difficult to detect a suspicious person by human eyesight.
The use of new AI-based technologies is indispensable to detect suspicious persons who are often overlooked by the human eye and to take countermeasures before they take action.
If you want to detect a suspicious person whose characteristics are not superficial, please consider introducing the following "Behavior Recognition AI" that does not miss any suspicious point that appears in trivial behavior.
In recent years, the worsening of public safety has become a growing concern in Japan.
In order to dispel the public's concerns, police authorities are increasingly utilizing AI and other cutting-edge technologies to strengthen crime prevention measures.
In particular, AI cameras equipped with AI functions are attracting attention as a potential aid in crime prevention measures.
Since its release at the end of January 2022, the AI security system "AI Security asilla ("asilla")" has seen a rapid increase in demand for use in a variety of facilities, mainly large complexes and commercial facilities, but also office buildings, medical care facilities, university campuses, stations and infrastructure.
Asilla," which employs the world's top class behavior recognition AI, has high detection accuracy for human movement, enabling early detection when a person enters a no-entry area set up within a facility. By expanding the scope of use of existing security cameras, a robust security system has been established, and efficient collaboration with security guards contributes to improving the security level of the entire facility.
Here, we will explain what can be done with "asilla," an AI security system that utilizes behavior recognition AI.
The AI performs autonomous learning of images captured by security cameras, and after the AI is installed, video analysis by the AI is performed as needed.
For example, if an incident such as a violent act occurs in the city, the AI will "detect strange behavior" in a few seconds as a deviation from "violence" based on the normal behavior it has learned. The AI will capture suspicious or unexpectedly dangerous behavior and immediately alert security guards and other relevant personnel.
Incidents and accidents that are often overlooked by the human eye can be detected in a few short seconds without omission. The system is also expected to further strengthen crime prevention measures by detecting signs of an accident.
Although we have introduced the behavior patterns and characteristics of suspicious persons, not all suspicious persons necessarily match the characteristics.
Even when crisis management skills and rules of thumb are exercised to the fullest in security operations, just one missed opportunity can cause anxiety for facility users and security targets.
In order to continue to provide security and reliability, it is necessary to establish a system that can comprehensively detect even inconspicuous suspicious persons. To improve the quality of security, why not consider introducing AI security into your facility?
Next-generation security system using behavior-aware AI
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