A wearable AI-based device for women's safety

Abstract

A wearable AI-based safety device for women (100) includes: a plurality of sensors (102) configured for continuous monitoring and data acquisition, wherein the plurality of sensors (102) includes a motion sensor (102a), a sound sensor (102b) and a Global Positioning System (GPS) sensor (102c); an AI-based processing unit (104) comprising a central AI processor (104a) configured to process data received from the sensors (102) using machine learning to assess potential threats based on pre-trained behavioral patterns, including detected motion, noise and location anomalies; an AI-based threat identification unit (106) comprising an intelligent processor (106a) configured to identify the threat based on processed data received from the AI-based processing unit, wherein the AI-based threat identification unit (106) comprises an emergency protocol activation engine (106b) configured to activate an emergency protocol when a threat is identified; a communication unit (108) connected to the AI-based threat identification unit (106) and configured to communicate or transmit changes and user information to external groups via the cellular network or WLAN, the user information including basic data such as location and alerts; and a user interface (110) configured for interaction with the device (100) via buttons and a display screen, providing the ability to manually activate alarms, adjust settings and perform real-time status checks, along with an autonomous warning system.

Description

FIELD OF THE INVENTION

[0001] The present invention relates to the field of personal security devices. More specifically, the present invention relates to a wearable AI-based women's security device for enhancing personal safety by continuously monitoring the user's environment and automatically detecting potential threats in real time. BACKGROUND OF THE INVENTION

[0002] The safety of women in public and remote areas has become a global concern, with increasing reports of harassment, assault, and kidnapping. Despite numerous efforts to combat these threats, the risks to women continue to grow. Traditional personal safety devices—such as alarms, pepper sprays, and emergency hotlines—have proven to be of limited effectiveness. These devices are typically reactive and must be manually activated once a threat has occurred. In situations of high stress or physical impairment, a woman may not have the means or ability to activate such devices, limiting their usefulness in emergencies.

[0003] The emergence of wearable technology and artificial intelligence (AI) offers new opportunities to improve personal safety through the development of proactive, autonomous systems that can detect and respond to potential threats in real time. AI can analyze environmental data from various sources, such as movement patterns, sounds, or changes in location, to predict when a user may be in danger. Integrating AI into wearable devices can provide continuous protection without manual intervention, allowing the system to autonomously identify threats and initiate protective measures, such as alerting emergency contacts, notifying authorities, and transmitting location data in real time.

[0004] Despite the clear advantages of these new technologies, however, there is currently no fully integrated solution that harnesses the full potential of AI to meet the specific security needs of women. Existing systems are either limited in functionality or rely too heavily on user input, which can lead to errors in critical moments of need. A comprehensive solution is needed—one that combines location tracking, real-time threat detection, and rapid emergency response, all powered by AI. Such a system would represent a significant advance in personal security by autonomously detecting threats, communicating the user's location to loved ones or authorities, and deterring attackers with alarms or other defensive measures—all without the need for manual activation.

[0005] To overcome these limitations, a wearable, AI-based safety device for women must be developed that significantly improves women's personal safety by utilizing cutting-edge technology for real-time threat detection and response. The device integrates advanced sensors—such as GPS modules, motion sensors, and sound analyzers—that continuously monitor the user's environment for abnormal behavior such as sudden movements, loud noises, or attempts at physical restraint. Upon detecting a potential threat, the device activates a series of safety measures, including sending real-time alerts to emergency contacts, transmitting the user's location, triggering an audible alarm, and optionally notifying local authorities.

[0006] The technical advances disclosed by the present invention overcome the limitations and disadvantages of existing and conventional systems and methods. SUMMARY OF THE INVENTION

[0007] The present invention relates to an advanced security device for women that integrates real-time artificial intelligence (AI) to enhance personal protection in potentially dangerous situations. The wearable security device contains multiple sensors, such as GPS modules, audio analyzers, and highly sensitive motion detectors, which, in conjunction with sophisticated AI, continuously monitor and analyze the user's environment. This AI is capable of detecting various threats by analyzing sensor data in real time and identifying suspicious movements, aggressive behavior, and alarming sounds such as screams or signs of physical attack. Upon detecting a potential danger, the device automatically initiates security measures, such as:Activating a loud audible alarm, live streaming of audio to designated emergency contacts or authorities, and transmitting an SOS signal with the user's location. This integrated device provides proactive and immediate responses to protect users in dangerous situations, making it a highly effective personal safety tool.

[0008] An object of the present invention is to provide a wearable AI-based security device for women that enhances personal safety by continuously monitoring the user's environment and automatically detecting potential threats in real time.

[0009] Another object of the present invention is to monitor the user's environment and identify potential threats based on abnormal movements, sound patterns and environmental changes.

[0010] Another objective of the present invention is to immediately trigger security actions, including sending alerts to emergency contacts, transmitting location data, and triggering audible alarms when a threat is detected.

[0011] Another object of the present invention is to provide accurate real-time GPS tracking for emergency situations and to ensure that the user's location is always accessible to their support network.

[0012] Another object of the present invention is to provide robust emergency communication channels, even in weak-signal environments, to ensure that alarms reach predefined contacts or authorities without delay. Another object of the present invention is to provide a user interface for managing device settings and reviewing event history, giving the user complete control over the device's operation. The user interface also provides an optional feature that allows the user to manually trigger alerts.

[0013] The present invention aims to provide a wearable AI-based security device for women, comprising: a plurality of sensors configured to perform continuous monitoring and data collection, the plurality of sensors comprising a motion sensor, a sound sensor, and a GPS (Global Positioning System) sensor; an AI-based processing unit comprising a central AI processor configured to process the data obtained from the sensors using machine learning to assess potential threats based on pre-trained behavioral patterns, including detected motion, sound, and location anomalies;an AI-based threat identification unit comprising an intelligent processor configured to identify the threat based on processed data obtained by the AI-based processing unit, wherein the AI-based threat identification unit comprises an emergency protocol activation engine configured to activate an emergency protocol when a threat is identified; a communication unit connected to the AI-based threat identification unit and configured to communicate or transmit the changes and user information to external persons via the cellular network or Wi-Fi, wherein the user information includes basic data such as area and alerts;and a user interface configured to interact with the device through buttons and a display screen, allowing the possibility of manually activating alarms, adjusting settings, and performing real-time status checks.;

[0014] In one embodiment, the motion sensor is mounted in the upper right corner of the device to detect unexpected or sudden movements, the noise sensor is mounted on the left base half of the device to detect elevated noise levels or abnormal noise patterns, and the GPS sensor implanted in the center of the back of the device is used to track and record the user's real-time location.

[0015] In one embodiment, the device further comprises a power source having a rechargeable battery configured to operate the device, wherein the rechargeable battery ensures continuous activity and limits the need for continuous charging.

[0016] In one embodiment, the emergency protocol activation engine activates the emergency protocol when the AI-based threat identification unit identifies a threat. This includes sending an alarm notification to preselected emergency contacts along with the user's current location, triggering an audible alarm to alert those near the user, and optionally sending an alarm to designated crisis authorities along with the user's location. If no threat is detected, the device resumes inactive scanning and adjusts its boundaries in light of advancing ecological contributions to maintain optimal detection effectiveness.

[0017] In one embodiment, the device is equipped with a robust housing that ensures protection of the internal components and reliable operation in various environmental conditions, including urban and rural environments.

[0018] In one embodiment, the AI-based processing unit is capable of learning from past data to improve the accuracy of threat detection over time by adapting to the specific environment and user behavior patterns to enable more precise monitoring.

[0019] To further clarify the advantages and features of the present disclosure, a more detailed description of the invention will be given with reference to specific embodiments thereof illustrated in the accompanying drawings. It should be noted that these drawings represent only typical embodiments of the invention and are therefore not to be considered limiting its scope. The invention will be described and explained in additional detail and in greater detail with reference to the accompanying drawings. SHORT DESCRIPTION OF THE FIGURE

[0020] These and other features, aspects, and advantages of the present disclosure will be better understood when the following detailed description is read with reference to the accompanying drawings, in which like characters represent like parts throughout. Fig. 1 shows a block diagram of a wearable AI-based safety device for women according to an embodiment of the present disclosure; Fig. 2 shows a diagram of the sensor system components according to an embodiment of the present disclosure; Fig. 3 is a diagram illustrating the internal architecture of the proposed AI-based device for women's safety according to an embodiment of the present disclosure; Fig. 4 illustrates the data processing of the proposed AI-based device for women's safety according to an embodiment of the present disclosure; and Fig. 5 illustrates the safety communication of the proposed AI-based device for women's safety according to an embodiment of the present disclosure.

[0021] Furthermore, those skilled in the art will appreciate that elements in the drawings are shown for convenience and may not necessarily be drawn to scale. For example, the flowcharts illustrate the method by key steps to enhance understanding of aspects of the present disclosure. Moreover, with respect to device construction, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details relevant to understanding embodiments of the present disclosure in order not to clutter the drawings with details that would be readily apparent to those skilled in the art who would benefit from the description herein. DETAILED DESCRIPTION:

[0022] To facilitate an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings and described in specific language. It is to be understood, however, that this is not intended to limit the scope of the invention, as such changes and further modifications to the illustrated system and such further applications of the principles of the invention as illustrated therein are contemplated as would normally occur to one skilled in the art to which the invention pertains.

[0023] It will be understood by one skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be limiting thereof.

[0024] References in this specification to "one aspect," "another aspect," or similar language mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Therefore, occurrences of the phrase "in one embodiment," "in another embodiment," and similar language throughout this specification may or may not all refer to the same embodiment.

[0025] The terms "comprises," "comprising," or other variations thereof are intended to cover non-exclusive inclusion, such that a process or method comprising a list of steps not only includes those steps, but may also include other steps not expressly listed or inherent in such process or method. Likewise, one or more devices or subsystems or elements or structures or components preceded by "comprises..." does not preclude, without further limitation, the existence of other devices or other subsystems or other elements or other structures or other components or additional devices or additional subsystems or additional elements or additional structures or additional components.

[0026] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The system, methods, and examples provided herein are for illustrative purposes only and should not be considered limiting.

[0027] Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0028] Fig. 1 shows a block diagram of a wearable AI-based device (100) for women's safety according to an embodiment of the present disclosure.

[0029] With reference to Fig. 1, the device (100) comprises: a plurality of sensors (102) configured to perform continuous monitoring and data collection, the plurality of sensors (102) comprising a motion sensor (102a), a sound sensor (102b), and a GPS sensor (102c); an AI-based processing unit (104) comprising a central AI processor (104a) configured to process the data obtained from the sensors (102) using machine learning to assess potential threats based on pre-trained behavioral patterns, including detected motion, sound, and location anomalies;an AI-based threat identification unit (106) comprising an intelligent processor (106a) configured to identify the threat based on processed data received by the AI-based processing unit, wherein the AI-based threat identification unit (106) comprises an emergency protocol activation engine (106b) configured to activate an emergency protocol when a threat is identified; a communication unit (108) connected to the AI-based threat identification unit (106) and configured to communicate or transmit the changes and user information to external persons via the cellular network or Wi-Fi, wherein the user information includes basic data such as area and alerts;and a user interface (110) configured to interact with the device (100) via buttons and a display screen, and providing the ability to manually activate alarms, adjust settings, and check status in real time;

[0030] In one embodiment, the motion sensor (102a) is mounted in the upper right corner of the device (100) to detect unexpected or sudden movements, the noise sensor (102b) is mounted on the left base half of the device (100) to detect elevated noise levels or abnormal noise patterns, and the GPS sensor (102c) is implanted in the center of the back of the device (100) to track and record the user's real-time location.

[0031] In one embodiment, the device (100) further comprises a power source (112) having a rechargeable battery (112a) configured to power the device (100), wherein the rechargeable battery (112a) ensures continuous operation and limits the need for continuous charging.

[0032] In one embodiment, when the AI-based threat identification unit (106) identifies a threat, the emergency protocol activation engine (106b) activates the emergency protocol. This includes sending an alarm notification (114) to preselected emergency contacts (116) along with the user's current location, triggering an audible alarm to warn those near the user, and optionally sending an alarm to designated crisis authorities along with the user's location. If no threat is detected, the device (100) resumes the inactive scan and changes its boundaries in light of advancing ecological contributions to maintain optimal detection effectiveness.

[0033] In one embodiment, the device (100) is equipped with a robust housing that ensures protection of the internal components and reliable operation under various environmental conditions, including urban and rural environments.

[0034] In one embodiment, the AI-based processing unit (104) is capable of learning from past data to improve the accuracy of threat detection over time by adapting to the specific environment and behavior patterns of the user to enable more precise monitoring.

[0035] The present invention addresses the critical issue of women's safety by introducing a wearable, AI-based security device that autonomously detects, assesses, and responds to potential threats in real time, providing a proactive solution to the limitations of conventional security measures such as alarms, pepper sprays, and emergency call numbers. Conventional mechanisms require manual activation by the user, which is often impossible in rapidly occurring or physically constraining situations. In contrast, the present invention utilizes advanced artificial intelligence (AI) interfaces combined with embedded sensors to continuously monitor the user's environment without requiring manual input.The device integrates motion sensors, sound analyzers, and GPS modules to detect anomalies such as sudden movements, increased noise levels, or suspicious location changes.

[0036] Fig. 2 shows a diagram of the sensor system components according to an embodiment of the present disclosure.

[0037] In Fig. 2, the motion, sound, and GPS sensors are integrated into the wearable device, which provides security. The user interface of the proposed device includes mounts or touch-sensitive surfaces, allows the user to change settings, such as emergency contacts, and physically enable or disable certain functions as needed.

[0038] The proposed device is intended to be ergonomically smaller, more robust, and easier to carry. The device primarily comprises multiple sensors, AI-based processing and threat detection modules, a power source, and a user interface. 1. Sensors (1.1): The device has three important sensors: • Motion Sensor (1.2): Located in the upper right corner of the device, it detects user movement and activity in the environment. This sensor continuously monitors for unusual or sudden movement patterns. • Noise sensor (1.3): The noise sensor is located in the lower left half of the device and monitors environmental noise to detect potential hazards such as loud voices or loud disturbances. • GPS sensor (1.4): Implanted in the center of the back of the device to track the wearer's current location and provide accurate geological information in case of emergency. 2. Communication module (1.5): The communications module, located in the upper left corner, handles data transmission via cellular and Wi-Fi connections. This part is used for continuous communication with emergency contacts and services when an alarm is triggered. 3. Energy source (1.6): The device is powered by an energy-efficient battery located at the bottom. This power source is designed to extend usage before recharging is required, thus enabling continuous monitoring. 4. User interface (1.7): The user interface on the front of the device allows the wearer to interact with the device via buttons and a small screen. The interaction point allows for quick manual activation of alarms, setting changes, and status checks.

[0039] Fig. 3 is a diagram illustrating the internal architecture of the proposed AI-based device for women's safety according to an embodiment of the present disclosure.

[0040] With reference to Fig. The internal architecture of the proposed device specifies the operation of the components of the proposed device in processing inputs and continuously generating outputs. 1. Central AI processor (2.2): The core of the proposed device is the central computer-based intelligence processor, which is responsible for receiving, analyzing, and processing information from various sensors. The processor is housed in a protective casing that ensures stable activity under various environmental conditions. The simulated intelligence calculations running on this processor are prepared to detect specific examples of risky behavior. 2. Sensors (2.5): The proposed device contains a multitude of sensors that provide consistent inputs to the simulated intelligence processor: • Motion sensor (2.6): Collects data on the customer’s movement and activities. • Noise sensor (2.7): Monitors the noise level and detects unexpected or disturbing noise patterns. • GPS Sensor (2.8): Provides continuous location information, important in crises where accurate tracking of the customer's location is critical. 3. Power supply (2.3): The device is powered by an energy-efficient battery. This battery guarantees continuous operation and reduces the need for continuous charging. The power supply system of the proposed system is so advanced that it supports the device's core functions, even during deferred use. 4. Communication module: The module is directly connected to the simulated intelligence processor and transmits messages and alarms via cellular or Wi-Fi networks. It enables the continuous transmission of important data such as location and alerts to external groups.

[0041] Fig. 4 illustrates the data processing of the proposed AI-based device for women's safety according to an embodiment of the present disclosure.

[0042] In relation to Fig. Initial data collection is performed using a variety of sensors. The collected data is then processed, followed by threat identification and activation of the emergency protocol. The detailed functionality of the proposed device is shown below: Data collection (3.1): The proposed device collects data through a variety of sensors, with a motion sensor (3.2) detecting movements around the user wearing the device, a noise sensor monitoring the ambient noise level for unusual patterns, and a GPS sensor continuously tracking the user's exact location. Real-time data processing (3.4): The artificial intelligence processor evaluates incoming sensor data using advanced calculations. These calculations are based on models of risky behaviors such as sudden movements, raised voices, or other anomalies.

[0043] Threat Detected (3.5): Simulated intelligence determines whether the detected data sources pose a threat. If a threat is detected, the proposed system executes crisis protocols, including sending an alert to crisis contacts, sending a message to the customer's location, triggering an alarm, and, alternatively, notifying local experts. If, on the other hand, no threat is detected, the proposed system resumes passive monitoring and adjusts its boundaries in light of evolving environmental conditions to maintain optimal detection efficiency.

[0044] When a threat is detected, an emergency protocol is activated. The emergency protocol's actions include sending an alert to preselected emergency contacts with the user's current location; activating an audible alarm to warn nearby people; and optionally alerting authorities, providing them with a description of the potential emergency and location information.

[0045] Fig. 5 illustrates the safety communication of the proposed AI-based device for women's safety according to an embodiment of the present disclosure.

[0046] The Fig. The safety communication depicted in Figure 5 illustrates how the device collaborates with external organizations to communicate crisis alerts and maintain contact with emotional support networks. A communication framework for the proposed device is shown below.

[0047] Network availability (4.3): The communication system uses two basic strategies for information transmission: • Mobile connection: The device can connect to mobile networks for data transmission, ensuring stable communication even when Wi-Fi is not available. • Wi-Fi connection: If available, the device can connect to Wi-Fi networks to transfer data faster and more efficiently.

[0048] Real-time emergency alerts (4.5): When the AI ​​processor detects a threat, the GPS module immediately sends current location data via the communication module. This data is sent: • Crisis contacts (4.7): A predefined list of contacts, such as relatives or friends, receives the customer’s location and a crisis message. • Crisis services (4.9): Alternatively, the system can notify nearby doctors and provide the same location and crisis information.

[0049] Reliability in weak-signal regions (4.11): The communication system is designed for robust performance, ensuring alerts are sent even in weak signals or adverse traffic conditions. This ensures the wearer is always connected to their support group in emergencies.

[0050] Mobile Application Integration (4.8): The communication system may also include a mobile application that allows the user to manage device settings, view wait history, and track the device's live status. The mobile application provides additional features, such as the ability to manually trigger an alarm or review past events, allowing the user to maintain control of the device at all times.

[0051] The AI ​​interfaces are trained to recognize patterns that indicate danger, such as abrupt or forced movements, screaming, or sounds typically associated with physical violence. This allows the device to autonomously assess the risk and initiate an immediate response. Once a threat is detected, the device activates a series of emergency protocols, including the automatic transmission of real-time alerts and GPS location data to pre-selected emergency contacts and, optionally, to local authorities. The device can also trigger an audible alarm to warn nearby individuals, increasing the likelihood of deterring the attacker and alerting them to the user's location. The wearable device is designed to operate effectively even in areas with weak signals, ensuring that communications remain intact under various conditions.

[0052] In addition to its proactive threat detection and response capabilities, the device is also equipped with a mobile interface that provides users with a platform to manage device settings, manually trigger alarms when needed, review past alarm events, and monitor device status. This provides the user with control and flexibility while ensuring continuous protection, even when unable to physically interact with the device.

[0053] The device is designed to fill the gaps in existing security solutions by providing intelligent, automatic protection that doesn't depend on the user's ability to activate it. This makes it extremely effective in sudden or violent situations where every second counts. By combining AI technology with wearable devices, the invention offers a comprehensive, intelligent solution to improve women's safety, optimizing protection through automatic detection, rapid response, and real-time communication with emergency contacts and authorities. This device creates an exogenous layer of protection that can prevent threats before they escalate, ensuring users are protected in dangerous situations without the need for human intervention.

[0054] In one embodiment, the AI ​​analyzes incoming data from the sensors to detect threat patterns such as sudden movements, raised voices, or suspicious activity, and automatically initiates emergency protocols when a threat is detected. These protocols include sending alerts and the user's real-time location to pre-designated emergency contacts, activating an audible alarm to deter attackers, and optionally notifying local authorities. The device is powered by an energy-efficient rechargeable battery and communicates over cellular or Wi-Fi networks to ensure seamless emergency communications.

[0055] In one embodiment, the device can operate in weak signal areas and provides reliable protection in a variety of environments.

[0056] In one embodiment, a mobile interface is integrated into the device, allowing the user to manage settings, track alerts, and manually trigger emergency actions, thus providing a comprehensive and autonomous women's safety solution.

[0057] The device's internal architecture is built around a processing unit that continuously receives and analyzes data from the integrated sensors. This processing unit uses machine learning to detect abnormal patterns, such as sudden movements or ambient noise, that indicate potential danger. The device is powered by an energy-efficient, rechargeable battery optimized for long-term operation. The communication unit, directly connected to the processing unit, enables the device to send real-time data and alerts via cellular or Wi-Fi networks, ensuring continuous connectivity for emergency situations.

[0058] The data processing flow begins with the collection of raw data from the embedded motion, sound, and GPS sensors. This data is analyzed by the AI ​​processor to assess potential threat levels based on predefined patterns and learned behaviors. If the AI ​​detects a threat, it automatically initiates emergency protocols, including sending an alert with the user's GPS location to preselected emergency contacts, activating a loud audible alarm, and optionally notifying local authorities. If no threat is detected, the system resumes passive monitoring. The AI ​​system can learn from past incidents, improving detection accuracy over time.

[0059] The communication system is designed to ensure robust performance even in areas with weak signals. When a threat is detected, the device uses cellular or Wi-Fi networks to send emergency alerts, including the user's real-time GPS coordinates, to designated contacts and authorities. GPS functionality enables precise and timely tracking of the user's location. Furthermore, the system can be integrated with a mobile application, allowing users to monitor the device, adjust settings, and also manually trigger alarms. This invention offers a proactive, AI-driven solution for women's safety, ensuring automatic detection, response, and communication in critical situations without the need for manual activation by the user.

[0060] The drawings and the foregoing description provide examples of embodiments. Those skilled in the art will recognize that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be separated into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, orders of the processes described herein may be changed and are not limited to the manner described herein. Furthermore, the actions of any flowchart need not be implemented in the order shown; nor do all actions necessarily need to be performed. Also, those actions that are not dependent on other actions may be performed in parallel with the other actions. The scope of the embodiments is in no way limited by these specific examples.Numerous variations, whether explicitly stated in the specification or not, such as differences in structure, dimensions, and use of materials, are possible. The scope of the embodiments is at least as broad as indicated in the following claims.

[0061] Advantages, other benefits, and solutions to problems have been described above with reference to specific embodiments. However, the advantages, benefits, solutions to problems, and any components that may cause an advantage or solution to occur or become more apparent are not to be construed as a critical, required, or essential feature or component of any or all of the claims. REFERENCE 100 A Wearable AI-Based Device for Women's Safety. 102 Variety of Sensors 102a Motion sensor 102b sound sensor 102c GPS (Global Positioning System) sensor 104 AI-based processing unit 104a Central AI processor 106 AI-Based Threat Identification Unit 106a Intelligent Processor 106b Emergency Protocol Activation Module 108 Communication unit 110 User interface 112 Power source 112a Rechargeable Battery 114 Alarm 116 emergency numbers 202 Detects motion 204 Sound Monitoring 206 Location Tracking 208 Handle communication 210 User Interaction 212 Location Updated 214 emergency call 216 Battery Check 218 Detects threat? 220 alarms triggered 302 Receiving input 304 From Sensors 306 Housed In 308 motion sensor 310 noise sensor 312 GPS sensor 314 For stability 316 Use Provision 318 Powered By 402 Collecting data 404 Motion sensor 406 AI algorithms 408 entries Compare 410 Send notification 412 Sound Alarm 502 Start 504 Select Method 506 mobile communications 508 Alarm Trigger 510 Precise location 512 Initiate Transfer 514 Emergency contact 516 contact information 518 emergency alerts 520 Emergency Report 522 User Location 524 real-time data 526 Warning message 528 Reliability 530 Low-Signal Design

Claims

[1] A wearable AI-based safety device for women (100) includes: a plurality of sensors (102) configured for continuous monitoring and data collection, the plurality of sensors (102) comprising a motion sensor (102a), a sound sensor (102b), and a Global Positioning System (GPS) sensor (102c); an AI-based processing unit (104) comprising a central AI processor (104a) configured to process the data received from the sensors (102) using machine learning to assess potential threats based on pre-trained behavioral patterns, including detected motion, sound, and location anomalies; an AI-based threat identification unit (106) comprising an intelligent processor (106a) configured to identify the threat based on processed data received from the AI-based processing unit, wherein the AI-based threat identification unit (106) comprises an emergency protocol activation engine (106b) configured to activate an emergency protocol when a threat is identified; a communication unit (108) connected to the AI-based threat identification unit (106) and configured to communicate or transmit the changes and user information to external groups via the cellular network or WLAN, wherein the user information includes basic data such as location and warnings; and a user interface (110) configured to interact with the device (100) via buttons and a display screen, providing the ability to manually activate alarms, adjust settings, and perform real-time status checks along with an autonomous warning system. [2] The device (100) of claim 1, wherein the motion sensor (102a) is mounted on the top right corner of the device (100) to detect unexpected or sudden movements, the noise sensor (102b) is mounted on the left base half of the device (100) to detect elevated noise levels or abnormal noise patterns, and the GPS sensor (102c) is implanted in the center of the back of the device (100) to track and record the real-time location of the user. [3] The device (100) of claim 1, further comprising a power source (112) having a rechargeable battery (112a) configured to power the device (100), the rechargeable battery (112a) providing continuous operation and limiting the need for continuous charging. [4] The device (100) of claim 1, wherein, when the AI-based threat identification unit (106) identifies a threat, the emergency protocol activation engine (106b) activates the emergency protocol, including sending an alarm notification (114) to pre-selected emergency contacts (116) along with the user's current location, triggering an audible alarm to warn those in the vicinity of the user, and optionally sending an alarm to designated crisis authorities along with the user's location, and wherein, if no threat is detected, the device (100) resumes the inactive scan and changes its boundaries in light of advancing ecological contributions to keep pace with optimal detection effectiveness. [5] Device (100) according to claim 1, wherein the device (100) is equipped with a robust housing that ensures protection of the internal components and reliable operation under various environmental conditions, including urban and rural environments. [6] The device (100) of claim 1, wherein the AI-based processing unit (104) is capable of learning from past data to improve the accuracy of threat detection over time and adapts to the specific environment and behavior patterns of the user to enable more precise monitoring.

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