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Artificial intelligence, with its wide possibilities of large-scale applications, has been a topic increasingly discussed by companies and technology experts in general, even more so with the advent of the 5G deployment in sight. In property security, we see that AI has great potential to contribute to the segment. However, it is often still complex for the end user to see the multiple possibilities that these innovations will bring to people's lives as a whole with the expansion of such technologies, especially in the property security sector. We know about the existence of studies led by big tech involving the construction of autonomous cars as a possible applicability, as well as the possibility of increasing industrial automation with the application of AI techniques and the expansion of computer vision within industries. But there are still many doubts about how to take advantage of these advances in more urgent demands, such as in the case of property security: will it be possible to have artificial intelligence as a partner in the property security sector? In the face of such doubts, we have developed this content so that you can understand everything about this technology and its multiple possibilities in property security and the way it brings protection to private properties.
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But, after all, what is an Artificial Intelligence (AI)?
Also known as artificial intelligence, the term appeared to describe specific technological phenomena. Artificial intelligence involves the development of software and electronic devices that can develop a reasoning ability close to normal human thought. In this way, the machine can learn from the information allocated in memory, gather experiences, and define its own conclusions; this information can be stored correctly and in an organized manner within a software with advanced computer vision. As it is already a field rich in academic research and experimentation, artificial intelligence is related to other technical fields, such as big data, robotics, and data science. Robotics shows that robots endowed with artificial intelligence can not only use logical reasoning but also show a certain degree of awareness that allows the development of various activities that previously required human capital. Similarly, advances in technology and innovation provide us with valuable insights based on the data and information obtained through extraction and analysis. However, to use this data decisively and transform it into business intelligence and resources for strategic departments such as security, it is necessary to develop a methodology that can interpret this information. There is an abundance of data available for decryption on the network, but most of it is unstructured. To efficiently execute and collect information, advanced technical tools are required. And this is where artificial intelligence comes in: in the way of visualizing and processing data.
The role of Artificial Intelligence in physical security
Advances in technology and computer vision allow the extraction of solutions by analyzing multiple information, especially when combining the extraction and analysis of information across a vast amount of raw data (big data) with artificial intelligence. In homicide investigations, certain suspects usually have an almost irrefutable alibi. However, with the combination of data science and artificial intelligence, it is possible to more effectively cross-reference large amounts of data and, in this case, discover how close individuals are to other key figures. Similarly, there are millions of inbound and outbound flights at all international airports, and these locations can have security flaws. Therefore, artificial intelligence is an effective means of helping airport security personnel. Through artificial intelligence algorithms (sequences of tasks), it is possible to evaluate the passenger list and check if anyone posed a risk to society. Furthermore, optimized behavior analysis can be performed with the help of special forces authorities. In addition to providing greater protection to passengers and airport employees, another positive effect of using artificial intelligence equipment for quick inspections is the reduction of waiting times in the security control line at these locations. We will learn about other specific applications of this technology in the fight against crime, as well as the application of these technologies in more everyday issues.
How to combat terrorism and organized crime with Artificial Intelligence (AI)
Artificial intelligence can examine thousands of pages of financial records and identify transactions that indicate money laundering by terrorist organizations, drug cartels, and elements related to organized crime in general. The system can be developed and adjusted to look for signs of illegal financial activities based on similar cases that have occurred in the past. On a broader scale, artificial intelligence can identify which regions and banks are most commonly used to promote financial fraud. In this sense, the investigator can be equipped with tools, in the jargon of the authorities, to "hunt for money." Therefore, police and prosecutors can directly attack the financial base that allows violent and extremist groups to flourish.
Facial recognition
There is a range of common applications in the property security market that use artificial intelligence, such as facial recognition systems, which are increasingly used throughout technology. For example, there are mobile payment frameworks that use this tool to securely verify users' identities. Or, even when we log into Facebook daily, we log in automatically, so that we even forget about the various technologies involved in this page. The company uses facial recognition software to automate photo tagging, which can be used in police investigations. One type of personal access control is the facial reader, also known as biometric facial recognition. The device uses software and well-defined logarithms to identify and analyze facial features. These features are then stored in the database. With the help of this file, if the person's face is not recognized in the inspection carried out in this storage system, the person will not be allowed to enter the location.
Smart cameras
These cameras are mainly used on public roads. They can record license plate numbers and other information, which helps minimize theft and identify weak links in road infrastructure, thereby increasing public investment. This tool attracts the attention of major clients. For example, there are already large capitals studying the possibility of installing smart cameras in strategic locations along highways. In this way, in addition to prohibited occurrences on congested roads, locations with higher accident rates can also be correctly monitored.
Mapping of risk situations
Artificial intelligence is used to identify and respond to different risk situations. A practical example of this is that the tool can analyze large amounts of data and predict traffic accidents, consulting the entire history of events that occurred in a given area. From there, the driver can be informed through public or private communication channels and, consequently, be more attentive to traffic routes. Another application possibility, together with the Internet of Things, would be to predict and solve problems related to occupational safety in a manufacturing industry through real-time data collection and transmission. Sensors equipped with AI also make it possible to track the health of each worker, as well as the level of healthiness of each sector of the company. Fighting serious diseases such as cancer would also be possible. An AI with computer vision can find malignant nodules through recognition software. From there, the doctor can identify the best treatment possibilities for each patient.
Intelligent video analysis
Intelligent video analysis identifies suspicious activities through sensors that can capture motion perception. But this is not just a simple camera watching who enters or exits: with AI, it is possible to use an intelligent system that draws virtual boundaries! These lines would form a demarcation monitored 24 hours a day by sensors that, upon detecting any suspicious activity crossing the lines, would immediately trigger an audible alarm. With this computer vision technology, it also becomes possible to identify valuable objects that may be subject to theft or loss. Cameras and monitoring systems can also be controlled with Big Data, transmitting directly via the internet through a monitoring center. This innovation greatly helps in reducing infrastructure costs, such as excess cabling or the need for a central server for image storage.
Fabio Caraça
Fábio Caraça is the Chief Growth Officer at Pix Force. He leads Pix Force's transformation into a scalable SaaS operation, combining strategic vision, culture, and high-impact execution.
