Safeguarding of protected area and houses / premises through intrusion prevention, method and system, applying activity simulation approach

Abstract

The invention presents an advanced security system that uses artificial intelligence (AI)-controlled technology designed to protect designated areas from unauthorized intrusions and theft. The system operates in three main stages: detection, impact, and expulsion. In the detection phase, sensors such as motion, sound, touch, and video detectors identify potential threats, while AI analyzes the signals and assigns threat levels. In the impact phase, the system simulates active human presence in the area, creating the impression that the territory is not empty, thus deterring intruders. In the expulsion phase, actions are continuously updated based on changes in the threat level until the threat is reduced to a minimum. The system continuously learns from interactions with intruders and improves its behavior models to achieve greater efficiency. Unlike traditional security systems, which rely on passive monitoring, this system actively deters intruders, providing more effective protection and prevention. The system can accurately simulate the daily activities of the household residents and create a realistic "background mode" in the house, regardless of whether someone is at home or not, as AI tools continuously monitor and learn the behavior patterns and habits of the homeowners or residents.

Description

FIELD OF THE INVENTION

[0001] This invention belongs to the field of electronic security systems and artificial intelligence (AI) technologies, intended for the protection of protected areas and private property from unauthorized intrusion. The invention also addresses sensor integration, communication between various sensor types, theoretical modeling, event forecasting, and artificial activity simulation. Moreover, it is linked to fully autonomous systems that are programmed to achieve the required result without external assistance or use external support only as an alternative option.TECHNICAL BACKGROUND / STATE OF THE ART

[0002] Currently, many traditional security systems used for protecting private property and protected areas face significant shortcomings. Passive measures, such as cameras and alarms, often respond ineffectively or only after the incident has occurred, but more frequently - generate false alarms when no intrusion is present. Such systems not only fail to deter intruders but also incur additional costs due to unnecessary security service call-outs. Moreover, the current modern security systems rarely employ advanced technologies that could autonomously respond to threats and reduce the need for human intervention. All this creates the necessity to improve security solutions to not only detect intruders in a timely manner but also effectively deter them even before the intrusion happens. This establishes a demand for the development of a completely new type of system that can independently protect areas, reduce the frequency of false alarms, and ensure true and effective security.

[0003] An analysis of the State of the Art revealed the document US 10026283, published on July 17, 2018, which describes a security system based on real-time video surveillance and alarm generation upon detecting intruders. The system uses a network of cameras and automated alert notifications to the owner or security services. This system is designed to detect unusual activities and report them; however, it primarily relies on passive monitoring and is not sufficiently effective in deterring intruders. Our invention is more advanced, as it not only detects intruders but also actively simulates human activity within the protected area using artificial intelligence (AI)-controlled simulations. Such simulations effectively deter potential intruders by creating the impression that the territory is actively inhabited. Thus, our system ensures both prevention and effective response without the need for external assistance.

[0004] Another known document is KR20110001486, published on January 6, 2011. This document describes a security system based on a network of sensors and cameras designed to detect intruders in the protected area. The system uses motion detection and other environmental factors to identify potential threats. Upon detecting an intruder, it sends alert signals to the property owner or security services, allowing them to respond to the threat. Additionally, the system includes alarm mechanisms that are activated when an intrusion is detected. This is a passive security system that focuses on threat detection after the intrusion has already occurred. The fundamental drawback of this system is its lack of an active deterrence mechanism. It simply reports the occurrence of an intrusion, but does not create a situation that could effectively impact the intruders.

[0005] Also it is known US2022270421 document, published on August 25, 2022, which describes a security system utilizing smart surveillance technologies, including a network of cameras and motion sensors, designed to detect intruders. The system monitors and analyzes the condition of the area in real-time, and upon detecting an intrusion, it sends alarms to the property owners or security services. Additionally, this system has the capability to analyze data and, based on previous incidents, improve detection accuracy and reduce the frequency of false alarms. It functions as a preventive measure, but its primary focus is on monitoring and issuing alerts only after the intrusion has been detected.

[0006] Additionally, the document IL304843, published on September 1, 2023, was identified. It describes a system designed to monitor and protect private areas from intruders. This system is based on a network of various sensors that detect movement, sound, or other intruder actions. The system uses advanced algorithms to detect intrusions and report them to the owner or security services. It operates in real-time, thus providing continuous monitoring of the protected area and actively responding to any deviation from normal activity. Moreover, the system integrates alarm functions that help inform the surroundings and alert about the danger. The situation here is similar to the above-mentioned documents, as the system's operation is focused on intruder detection and sending alert signals to the relevant services.

[0007] The closest Prior Art is the document WO02073947 (International Application), published on September 19, 2002. This document describes a wireless mobile robot system designed to protect property from intrusions and fires. The system consists of a wireless mobile robot, which is radio-linked to a modem-equipped personal computer. This robot also has a camera and a sensor system, enabling it to move and monitor its surroundings. The sensors are intended to detect intrusions or fire signals, and the robot can be remotely controlled via a mobile phone or a laptop. An important part of the system is its ability to transmit video and audio signals in real-time to the property owner's device, such as a mobile phone, via an internet server, allowing them to monitor what is happening on their premises. Even if the robot is destroyed, the video recordings are already saved on the internet server. The robot can be designed in the shape of an animal or a technical robot and, in addition to surveillance functions, it is equipped with a gripper for remote object manipulation. Besides security functions, this robot can also be used remotely to control devices, feed animals, etc. In contrast, our invention creates the illusion that there are residents present in the protected area, thereby deterring intruders even before they attempt to enter. Moreover, our system learns from previous situations and errors, continuously improving its action plan and reducing the number of false alarms. The system described in the above-mentioned document focuses solely on monitoring and alerting, whereas our system actively takes measures to prevent intrusions.

[0008] A detailed analysis of the State of the Art has shown that current security systems primarily rely on passive intrusion detection and sending alerts to property owners or security services. Such systems, including robotic technologies, are designed to monitor and report intrusions, but they do not function as active deterrence tools. The invention described in detail below addresses this issue, as it not only detects threats but also simulates specific activities within the protected area, creating the illusion that the territory is occupied. In this way, intruders are deterred even before they attempt to enter the protected area, providing more effective protection.SUMMARY OF THE INVENTION

[0009] The core of the invention is an advanced security system that utilizes artificial intelligence (AI)-controlled technology to protect designated (private) areas and their property from unauthorized intrusions and theft. The system comprises three main phases: detection, impact, and expulsion.

[0010] In the detection phase, signals from motion, sound, touch, video, and other electronic sensors are analyzed using AI tools to identify attempted intrusions. The collected signals are processed and assigned a corresponding threat level, indicating the potential risk.

[0011] In the impact phase, based on the intruder's threat level, an active activity simulation plan is modeled. AI simulates presence indicators within the protected area to deceive and influence the intruder's behavior by activating the appropriate devices (electronic devices) according to the predefined action plan.

[0012] In the expulsion phase, depending on changes in the threat level, the action plan (its model and activation) is continuously updated to reduce the threat to a predetermined minimum level. The system continuously learns from interactions with intruders and refines its behavior model.

[0013] This invention not only detects attempted intrusions but also effectively deters potential intruders by creating the illusion that the area is occupied by people or activities. Unlike traditional security systems, which rely solely on monitoring, this system takes active measures, providing fundamentally more effective prevention.

[0014] The system can accurately simulate the daily activities of household residents and create a realistic "background mode" in the house, regardless of whether someone is at home or not, as AI tools continuously monitor and learn the behavior patterns and habits of the homeowners or residents.EMBODIMENTS OF THE INVENTION / DETAILED DESCRIPTION

[0015] As mentioned above, most modern security systems are passive - they detect intruders and send alert signals to the owner or security services, but do not defend themselves autonomously, i.e., they do not take any active measures. Typically, these systems rely on sensors, cameras, or alarms, which only respond after an intrusion has occurred. Moreover, they frequently generate false alarms, resulting in additional costs for the owners of the protected area. Therefore, there is a need for a fundamentally more advanced system that not only detects intrusion attempts but also actively deters potential intruders even before they try to enter the protected area.

[0016] Our invention comprises a system that operates through the following main steps (phases, stages): detection, impact, and the so-called expulsion. During the detection phase, sensors detect a potential threat, while artificial intelligence (AI) analyzes the signals and assigns them the corresponding threat level. After signal processing, in the impact phase, the system simulates human presence, creating the illusion of activity. In the expulsion phase, actions are continuously updated in real-time to reduce the threat to a predetermined minimum level.

[0017] During the intruder detection phase, various sensors and detectors identify potential threats, while artificial intelligence (AI) analyzes the received signals to determine the threat level. The detection phase includes the following steps: measurement / detection, signal processing, and threat level determination.

[0018] The measurement stage utilizes various detectors, such as motion, sound, touch, video, thermal, and vibration sensors. Each of them helps capture different signs of a potential intrusion.

[0019] Motion detectors are designed to detect any unusual movement in the protected area. They can respond to the movement of a human or an animal, and by using advanced filtering technologies, it is possible to differentiate, for example, between an animal and a human. This way, inappropriate objects can be filtered out, reducing the generation of false alarms.

[0020] Video detectors use VIS or IR spectrum cameras that can monitor the area in real-time and capture any suspicious activity. The detectors work together with artificial intelligence (AI) tools, which analyze the video, identify human or object movement, recognize intruders, and classify them based on behavioral patterns. Advanced video detectors can distinguish between normal activity and illegal actions. Video detectors can also collaborate with other sensors, such as motion or sound detectors, to refine the nature of the threat and provide a more accurate assessment of the situation.

[0021] Sound detectors can analyze a wide range of sounds - from minor noises like footsteps to more intense sounds such as glass breaking, door breaking, or even gunshots. Sound detectors can distinguish naturally occurring sounds, such as wind or rain, from suspicious noises. When the system detects sounds associated with intrusions, such as tool use, glass breaking, or door breaking, it can automatically increase the threat level. Additionally, more advanced sound detectors have the ability not only to identify the sound but also to locate its source, determining the precise location where suspicious activity is occurring. This greatly helps the system to respond accurately and quickly. Sound detectors can also be integrated with other detection tools, such as motion or video detectors, to enhance system reliability and ensure more effective threat identification and level determination.

[0022] Touch detectors are another important part of the security system, which is particularly effective for securing physical entry points such as windows, doors, or walls. These detectors respond to any physical contact or mechanical impact when an attempt is made to open, break, or force protected objects. Touch detectors typically operate in two ways: they can be embedded into surfaces, such as door or window frames, where they detect even small vibrations or pressure changes when the surface is affected by force. They can also function as capacitive or resistance sensors, measuring minor changes in surface structure or electrical resistance when direct contact occurs. Touch detectors are very important because they can detect mechanical intrusion before actual entry into the premises. For example, if an intruder attempts to silently open a window or carefully checks if the door is unlocked, the system can quickly respond and increase the threat level with appropriate actions. These detectors, combined with other sensors, help create a comprehensive protection network that ensures even the slightest mechanical attempt to access the protected area is detected. Thermal detectors are also an essential part of the security system, designed to detect human or animal body heat in protected areas. They work by measuring infrared radiation emitted by living organisms. These detectors can detect heat sources even in complete darkness, making them effective at night or in areas with no lighting. Thermal detectors analyze temperature changes and can differentiate living objects, such as humans or animals, from inorganic objects like cars or trees. Advanced thermal detectors use artificial intelligence (AI) algorithms to filter out natural environmental temperature changes, such as those caused by the sun or wind, thereby reducing the likelihood of false alarms. Thermal detectors can be effectively used in open areas or locations where other sensors, such as motion or sound detectors, may be less effective. For example, if an intruder is creeping in the dark or trying to avoid other detection tools, the thermal detector captures the body heat and identifies that a person is present in the area. Additionally, thermal detectors can detect sudden temperature changes that may indicate an intrusion, such as when doors / windows are suddenly opened, fire is used, or various cutting tools are applied. Thermal detectors are highly effective when combined with other sensors to ensure comprehensive area protection and further enhance detection accuracy.

[0023] It is very important to integrate various sensors (detectors) together to create a comprehensive and precise detection mechanism for the security system. Each sensor detects different signs of intrusion, but by combining their data, the system can significantly better distinguish real threats from false signals, such as differentiating human movement from animals or natural environmental sounds.

[0024] All signals from the aforementioned sensors are collected and processed in real-time. This process is continuous and uninterrupted. Signal processing is carried out using artificial intelligence (AI) tools / modules, resulting in a corresponding parameter matrix.

[0025] Based on this parameter matrix and the respective AI experience, the threat level is determined. This parameter is a distinctive (central) feature of this invention, as it governs all subsequent actions and settings. The mentioned threat level can be divided into multiple tiers. In the simplest case, it can have three tiers: low, medium, and high, but there can be significantly more tiers. The greater the number of threat level tiers, the more dynamically the system operates, and the more complex and diverse the active activity simulation becomes, making it less repetitive. Each threat level dictates the system's subsequent actions, including sending alerts or initiating and adapting the active activity simulation plan.

[0026] The intruder impact phase includes the following stages: impact modeling, impact activation, and threat level change.

[0027] The impact modeling stage is part of the impact phase, during which the system determines which actions will be taken to deter the intruder. In this stage, the AI analyzes the aforementioned parameter matrix, i.e., the collected signals regarding the intruder's movement, behavior, and threat level. Impact modeling involves creating various simulation scenarios that give the impression of active human presence in the protected area to confuse and demotivate the intruder from continuing their planned actions. The impact modeling is based on various factors: the location of the intruder detection, threat level, movement direction, and other sensor data. For example, the system may choose to simulate the homeowner's voice, dog barking, or footsteps in the room closest to the intruder, creating the impression that someone is present in the house. Another scenario may include turning on lights or projecting shadows, which also have a deterrent effect. AI algorithms also learn from each interaction, refining impact plans for similar situations in the future to make them even more effective.

[0028] Impact activation is the stage where the system implements the scenarios created in the impact modeling stage to deter the intruder. When the AI algorithm selects the appropriate action plan, the system begins activating various electronic devices or mechanisms to simulate human presence and specific activities in the protected area. Impact activation can involve several different actions depending on the intruder's movement and behavior; for example, the system may turn on lights in various rooms, create moving shadow projections, or activate sounds imitating footsteps or even human voices. These sounds can be homeowner voices or dog barking, which typically create the impression that the area is not empty. Additionally, the system can simulate the operation of household appliances, such as turning on a TV or radio, to create an even more realistic environment. The activated mechanisms depend on the threat level and the intruder's behavior. For example, at a low threat level, the system may turn on only a few minor sounds or lights, but as the threat level increases, the actions intensify.

[0029] The threat level change stage is dynamic and continuously updated as the system monitors the intruder's behavior and reactions to the activated security measures. If the system notices that the intruder stops or changes their behavior, it may indicate that the actions are successful. However, if the intruder continues their activity or becomes more aggressive, the threat level increases. This results in a more intense response from the system, which may activate additional security mechanisms such as louder signals, brighter lights, or even more realistic activity simulations.

[0030] The intruder expulsion phase includes the following stages: updated impact modeling after the previous stage, updated impact activation, threat level change, and repetition of the procedure until the predetermined minimum threat level is achieved.

[0031] Threat level changes are constantly monitored and adjusted based on real-time signals and the generated parameter matrix. The system continuously analyzes whether the intruder is deterred or still poses a threat, while AI algorithms adapt the action plan according to the evolving circumstances. This continuous monitoring and threat level regulation ensure that the system consistently adjusts to the situation, providing maximum efficiency in protecting the area. The system continuously monitors the intruder's reactions and behavior changes to promptly adjust the action plan, ensuring that the activation is as effective as possible in deterring the intruder. Impact activation creates a continuous stream of stimuli, preventing the intruder from accurately assessing the situation and making them believe that there are people present in the area. This progressive action plan (where the intruder's actions are repeatedly measured, updated impact models are created, and updated impact activations are triggered) is a fundamental part of the security system to prevent intrusion before it occurs. The continuous evaluation and impact process operate cyclically, repeating the procedure until the intruder is completely expelled from the protected area to a safe distance.

[0032] Another additional innovation used here, which significantly contributes to an even more realistic presence simulation, is the vibration generators. They create very specific physical effects that mimic human activity within the protected area. These generators are installed on floors, doors, windows, or walls and produce small but noticeable vibrations that simulate actions such as footsteps, door closing, objects falling, and similar activities. When vibration generators operate in conjunction with audio and visual effects, they greatly enhance the illusion of resident presence in the area. This combination unexpectedly creates an even more realistic atmosphere, which exceeded the expectations of experimenters during testing.

[0033] When discussing threat levels, they can also be linked to the boundaries / zones of the area, for example: Zone 1: Resting state (when nothing is happening, background mode); Zone 2: When unauthorized individuals cross the boundaries of the area; Zone 3: When unauthorized individuals move towards the house; Zone 4: When unauthorized individuals are already near the house (entrance, windows, walls); Zone 5: When unauthorized individuals attempt to enter the house; Zone 6: When unauthorized individuals have entered the house; Zone 7: When the actions of unauthorized individuals start to pose a threat to the residents; Zone 8: When doorways / passages begin to be blocked, and residents are isolated from intruders, with additional measures used, such as tear gas to neutralize intruders; Zone 9: When the actions of unauthorized individuals result in consequences, including lethal ones, for the residents: complete blocking of exits from the house, deployment of additional measures, such as planned access for police, security companies, or medics through a designated entrance, unlocking it and remotely guiding the services to the location of the intruders and / or residents.

[0034] For the system to accurately simulate the daily activities of the household residents and create realistic "background noise" in the house, AI tools must continuously monitor and learn the behavior patterns and habits of the homeowners / residents to precisely replicate their daily routines. The AI can analyze the timing of lights turning on, the movement of curtains, frequently used rooms, and sounds such as voices, music, water running from a tap, an object falling on the floor, or activities occurring in different rooms. This allows the system to create an authentic impression of presence. The longer the system learns / monitors, the more accurately it can replicate the "life" of the house under varying conditions.

[0035] The system can also operate in the so-called "background mode," meaning it continuously simulates some form of activity in the house or protected area regardless of whether someone is present or not. The system's "background mode" operates continuously, even when there is no direct threat or intrusion attempt. In this mode, the AI generates random everyday sounds and activity simulations, such as turning lights on / off, adjusting curtain positions, or creating soft noise in different parts of the house. This background mode creates a natural impression of occupancy, deters potential intruders, and ensures that the house appears inhabited whether someone is home or not.

[0036] The mentioned system can also operate when the homeowners are present, for example: when they are sleeping, living in another part of the house, or simply going about their daily routines. AI-controlled tools ensure that the homeowners are only notified when a real threat arises, avoiding unnecessary disturbances. For instance, if the homeowners are sleeping in one wing of the house and intruders attempt to enter another part of the building, the system automatically initiates deterrent actions without involving the residents. However, if intruders breach the interior or a serious security breach occurs, the AI immediately informs the homeowners, wakes them up, and guides them to the nearest safe location, such as a basement, panic room, or large safe - depending on their location and the intruders' movement trajectory. Simultaneously, the AI analyzes the intruders' behavior both outside and inside, ensuring that the homeowners are protected and move along the safest route without encountering the intruders. Therefore, when installing such a system, it is recommended to additionally equip safe rooms and integrate them into the security system.

[0037] To enhance element integration and system accuracy, the threat level determination module additionally evaluates environmental factors such as the geographical location of the area, weather conditions, and other external parameters. For instance, rain, strong winds, or fog can affect sensor performance and the system's response, so by utilizing these parameters, the system further reduces the likelihood of false alarms. Additionally, the geographical location of the area, such as terrain features or the layout of buildings, is also considered to better analyze potential threats.

[0038] The security system must ensure uninterrupted operation even in the event of power outages or other energy supply issues. For this, UPS devices (uninterruptible power supplies) and energy storage units are used, which guarantee the system's operation for a sufficient period in emergency mode. These uninterruptible power supplies not only maintain the functioning of the security system, all sensors, and control modules but also ensure the operation of emergency lighting, code locks, and door and safe locks. This solution allows the system to maintain full functionality and security during unexpected situations, ensuring that the premises remain maximally protected.

[0039] In this invention, the system and the method are closely interlinked, as the system derives from the method and vice versa. The system comprises components such as various sensors, AI-controlled (artificial intelligence) analysis modules, and activation mechanisms, while the method defines how these components interact and the sequence in which the process occurs. The method includes a clearly defined process where intrusion is detected, AI algorithms process the signals and decide on appropriate actions. Meanwhile, the system implements these actions in real-time by activating security mechanisms according to the created scenario. The integration of the system and method enables effective responses to changing situations, as the AI continuously learns and refines security plans, while the system quickly and efficiently executes them. This integrated approach ensures that the system not only responds to threats but also actively adapts to them, thereby forming the best possible security strategy.

[0040] Several implementation variants are described below, illustrating how the system defends against intruders (these are just examples; scenarios may vary significantly): Visual and auditory imitation model: The system detects an intruder and activates visual and auditory imitation tools. The homeowner's voice is played, a dog barking is simulated, and speakers mimic the sound of footsteps moving from one room to another. At the same time, projectors create the image of moving shadows on the curtains, creating the illusion of active movement within the premises. These actions deter the intruder and create the impression that there are people inside the house. Response to approaching doors or windows: When an intruder approaches the doors or windows, the system activates vibration generators in the floors, walls, or windows, creating the effect of a strike against the door or window. At the same time, speakers simulate the sounds of a gun being cocked or glass breaking, creating a stronger psychological deterrent for the intruder. Simple imitation model for small areas: This model is designed for simpler variants, using only basic security elements such as turning on lights in different rooms and auditory imitations like the sound of objects falling or doors closing. It can be implemented in smaller areas or with significantly limited budgets. Extended mode with the homeowner's voice: The system can simulate various scenarios depending on the intruder's location. For example, if the system detects an intruder near the entrance, the "homeowner's voice" can be activated, simulating a phone conversation or shouting at the intruder. This creates a realistic impression that the homeowner is inside the house. Housekeeper mode: This mode is designed to imitate the presence of a housekeeper in the home. When the system detects an intruder, sounds mimicking cleaning activities, such as a vacuum cleaner running, dishes clinking, or doors opening and closing, are activated. The speakers can also emit soft housekeeper voices, such as chatting on the phone or other sounds reflecting daily activities. This scenario creates the illusion that someone is working inside the house. Children's Play Mode: In this scenario, when the system detects an intruder, it starts simulating children's play. The speakers emit sounds of children laughing, running, and toys clattering. Additional noise typical of children playing, such as a ball rolling or toys falling onto the floor, can also be simulated. This creates the impression that a family is present, and the children are playing, which may prompt the intruder to withdraw. Family Day Mode: This is an extended imitation model where the system combines the homeowner, children, and housekeeper scenarios. Upon detecting an intruder, the system turns on lights in various rooms, and the speakers can play homeowner voices, which are synchronized with the sounds of children playing or the housekeeper's activity simulation. This creates an extremely realistic environment, giving the impression that the house is full of people. Children's Sleep Mode: If an intruder is detected late in the evening, the system can simulate the quiet sounds of a child sleeping-soft breathing or gentle movements, occasionally accompanied by the switching on of a night light. This subtle scenario gives the impression that someone in the house is resting or sleeping, suggesting that any noise could awaken the family members. Guest Dinner Mode: This scenario can also be activated. The speakers emit sounds resembling a dinner table conversation-voices, laughter, and general commotion. The clinking of dishes and cutlery, glasses being filled with drinks, and even a soft musical background can be heard, creating the impression that a dinner gathering with guests is taking place. This imitation creates a realistic atmosphere that signals the presence of many people in the house. Birthday Celebration Mode: In this scenario, the system simulates a lively and cheerful birthday party. The speakers emit the voices of children and adults, music, balloon popping sounds, and laughter. Singing and joyful greetings can also be imitated, along with the clinking of cutlery and the general buzz of the celebration. This mode can also involve turning on lights in several rooms or even simulating the movement of a spotlight, which adds a heightened sense of realism. Homeowner Departure Mode: In this scenario, when the system detects that the homeowner has left, it automatically switches to a different simulation model, making the house appear active without the homeowner's presence, for example, being actively used by other individuals. The speakers stop emitting the homeowner's voice and instead produce other sounds, such as the housekeeper's activities, dishwashing noises, or even background guest conversations in other rooms. The lighting pattern adjusts accordingly-only certain rooms are illuminated, creating the impression that someone is still engaged in daily activities, but the homeowner is no longer present, ensuring that the simulation remains coherent / logical. Family Departure Mode: When the system detects that the entire family has left, it switches to the "empty house" simulation mode. In this mode, AI reduces the activity level, activating only minor activity signs, such as occasional appearances of house staff in specific rooms, automatic curtain movements, or turning on the television in background mode. Instead of family voices or regular household sounds, other noises can be heard - such as housekeepers walking or cleaning, and similar activities. This mode simulates subtle signs of activity, making the house appear not entirely empty while also indicating that the primary residents are absent.

[0041] These scenarios serve as examples of how the system can efficiently respond to various intrusion situations, creating a dynamic and highly realistic illusion of presence, which further enhances the realism and effectively deters potential intruders.

[0042] The system must have data transfer and "Reset" function to enable easy reconfiguration of security settings when needed. If the house is sold and the new owners wish to retain the system, a data wipe and configuration reset can be performed. On the other hand, if the homeowners move to a new location, specific behavior patterns and individual settings can be transferred to the new system to ensure a smooth adaptation to the new environment.

[0043] This document reveals the entire essence of the invention; however, when commercializing this invention, it is essential to consider that the security system disclosed here must remain confidential throughout its development, installation, and operational phases. All information regarding the system's functioning, technologies used, and installation locations must be kept secret. Public disclosure of such information could significantly reduce the system's effectiveness, as intruders, being aware of the security methods and operating principles, could alter their behavior. This would eliminate the system's main advantage - the element of surprise, which is a crucial factor for the success of the deterrence mechanism. Therefore, this security system is not intended for widespread use and cannot be subject to any form of public advertising. The system is targeted towards specialized insurance companies that insure high-value real estate properties and valuable assets. Clients of these companies can use the system only under strict contractual agreements, and the system is installed only after a confidentiality agreement is signed with the insurance company. Moreover, even during the installation, clients are not informed about the system's details until a preliminary agreement is in place. All information about the security system remains strictly between the insurance company and the contractor, and it is disclosed to the client only once the system is fully ready for operation. Furthermore, clients are prohibited from sharing any information about the system with third parties, as this could jeopardize their own safety. Thus, the use and operation of such a security system are strictly regulated to ensure its effectiveness and confidentiality, maintaining the unpredictability and efficiency of the protection mechanism in real-world scenarios.

[0044] This system is particularly suited for large and luxurious homes, as its complexity and integrated technologies require significant investments. The primary objective of the system is to completely prevent any intrusion, as even an unauthorized entry into the property can cause significant discomfort for the homeowners. Intruders can not only damage or steal valuable family heirlooms or sentimentally important items but also pose a threat to any pets left behind. Therefore, the system's goal is to deter intruders even before they enter the premises, ensuring comprehensive safety and peace of mind for the residents. This approach adds value not only in terms of security but also contributes to the overall psychological comfort of the homeowners.

Claims

1. A method for preventing unauthorized intrusions in a designated protected area, comprising the following steps: collecting environmental signals using various sensors, such as motion, video, sound, touch, and thermal detectors; processing the collected signals and identifying the fact of an intrusion; characterized in that the method further includes the following steps: forming a parameter matrix from all sensor signals; determining the threat level based on the parameter matrix; depending on the threat level, using artificial intelligence (AI) to model an active presence simulation plan to draw attention and influence the intruder's behavior; activating electronic devices according to the modeled action plan; updating the threat level; depending on the updated threat level, using AI to model an updated active presence simulation plan to further reduce the threat level; activating electronic devices according to the modeled updated action plan; repeating the threat level reduction procedure until the threat level drops to a predetermined safe value; thereby providing an automated and autonomous effective intruder deterrence mechanism against unauthorized intrusions, operating in real-time and without the need for external assistance.

2. A method according to claim 1, characterized in that the means used for identifying the intrusion differentiate false signals, such as animal movement.

3. A method according to any of the preceding claims, characterized in that the activation of electronic devices additionally includes vibration generators that create physical effects such as vibrations of floors, doors, or windows, imitating the presence of residents.

4. A method according to any of the preceding claims, characterized in that the AI continuously learns from intrusion scenarios and updates the simulation action plans to improve threat level assessment and deterrence strategies.

5. A method according to any of the preceding claims, characterized in that the threat level assessment includes not only analyzing the intruder's behavior but also evaluating the geographical location of the area, weather conditions, and other environmental factors to ensure a more accurate threat evaluation.

6. A method according to any of the preceding claims, characterized in that the simulation scenarios may include specially adapted sound effects, such as recordings of the homeowner's voice, dog barking, or various household noises, to create a highly realistic presence impression.

7. A method according to any of the preceding claims, characterized in that it also includes a background mode during which it simulates some type of activity in the house / protected area regardless of whether someone is present or not; i.e., the system's "background mode" operates continuously, even when there is no direct threat or attempted intrusion. In background mode, the AI generates random daily life sounds and activity simulations, such as turning lights on / off, adjusting curtain positions, or creating soft noises in different parts of the house, to maintain a natural impression of occupancy.

8. A security system for protection against unauthorized intrusions in a designated protected area, operating according to the preceding claims 1-7, comprising: various sensors such as motion, video, sound, touch, and thermal sensors for collecting environmental signals; a signal processing module for analyzing the collected signals and identifying an intrusion; characterized in that additionally comprising: an AI-controlled analysis module for forming a parameter matrix and determining the threat level; an AI-based scenario modeling module, which, depending on the threat level, models presence and active activity simulation scenarios to influence the intruder's behavior; an electronic device control module for activating electronic devices according to the modeled action plan; a threat level update module for monitoring threat levels and adjusting the action plan; an automated threat reduction module that repeats the action plan until the threat level is reduced to a safe predetermined value; thereby ensuring an automatic and autonomous security mechanism that recognizes and deters intruders in real-time without requiring external assistance.

9. The system according to claim 8, characterized in that it includes means to differentiate false signals, such as animal movements, from genuine intrusion attempts.

10. The system according to claims 8-9, characterized in that it includes an electronic device control module additionally comprising vibration generators that create physical effects, such as vibrations of floors, doors, or windows, simulating resident activities.

11. The system according to claims 8-10, characterized in that it includes an AI analysis module that continuously learns from intrusion scenarios and updates simulation action plans to improve threat level determination and deterrence strategies.

12. The system according to claims 8-11, characterized in that it includes a threat level determination module that not only analyzes intruder behavior but also considers the geographical location of the territory, weather conditions, and other environmental factors to ensure more accurate threat assessment.

13. The system according to claims 8-12, characterized in that the simulation scenario module can utilize specially adapted sound effects, such as homeowner voices, dog barking, or various household noises, to create a maximally realistic impression of presence.

14. The system according to claims 8-13, characterized in that it further includes uninterruptible power supply (UPS) and / or energy storage means to ensure that the system operates for a sufficient period in emergency mode; the mentioned uninterruptible power supplies not only maintain the functionality of the security system, all sensors, and control modules, but also support emergency lighting, coded locks, and door and safe locks, to maintain full system functionality and security during unexpected situations, such as power outages, ensuring that the premises remain maximally protected.

15. The system according to claims 8-14, <b>characterized in that it includes secure rooms to which the residents can be guided during an intrusion, i.e., the system can operate not only when no one is present in the house / protected area, but also when the residents are at home, e.g., sleeping, residing in another part of the house, or simply living / working according to their usual routine; in this way, the AI-controlled means ensure that residents are alerted only when a real threat arises, avoiding unnecessary disturbances.

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