Description:Field of the Invention
This invention relates to IoT & AI enabled device for girl safety.
Background of the Invention
The number of significant and widespread issues with emergency response and personal security are addressed by the Internet of Things (IoT)-enabled gadget for female safety. Physical concerns, harassment, and violence endanger the safety of women and girls, especially in remote and metropolitan locations. Conventional safety procedures like pepper spray and self-defense training frequently fail in crises owing to a lack of adequate communication avenues, resulting in delays and increased danger. Inadequate real-time location tracking and monitoring technologies make it difficult to recognize health-related problems, which require quick treatment to prevent significant repercussions.
The increasing number of physical attacks and threats against females in public settings, particularly at work and school, emphasizes the importance of preventative safety precautions. This persistent vulnerability can have a detrimental influence on their mental health, affecting their movement and capacity to accomplish routine tasks. By offering a small, wearable solution that combines health monitoring, automated alert systems, and real-time tracking, IoT-enabled safety device directly solves these issues. With just a button press, users may instantly alert authorized contacts and emergency personnel to their location and transmit distress signals. The incorporation of sensors for health monitoring and fall detection augments the device's usefulness by guaranteeing that unexpected crises are identified and handled immediately, even in the event that the user is rendered incapable.
WO2019193409A1- A system and method for user security and safety assistance is provided. The system includes a service request receive module that enables system to receive at least one service request, associated with a physical security of said user or a person selected by said user, from said user through said user computing device, a service list display module that enables the system to receive a list of determined security services provided for the received service request from a central computing device and display said list on user interface of said system configured on said user computing device, a service selection module that enables the system to receive a selection of at least one security service selected from the list of determined security services, and a service request transmission module that enables the system to transmit the selected at least one security service to said central computing device via a network.
US20150065082A1- The present invention relates to a wearable accessory including a detachable/removable circuitry housing, a vibration generation means for producing a vibration, the vibration generation means housed within the housing, at least one switch for allowing a user of the wearable accessory to cause activation of the vibration generation means, the switch housed within the housing, a module for communicating with at least one handheld device using a communication protocol, an image capturing device including a microphone for receiving audio and video signals at the wearable accessory, a USB port for charging the wearable accessory, a multiple-bit microprocessor is configured and coupled for controlling functions of the wearable accessory, the microprocessor housed within the housing and a storage means for storing data representative of the signals, the storage means coupled with the microprocessor.
WO2015019360A1- The present invention is a wearable, multi-sensory, personal safety and tracking device which predicts danger by sensing changes in voice, pulse, emotions, impact, motion of the wearer and the device state. In emergency situations, the device triggers SOS, alarm, electro shock, pepper spray and starts capturing images and audio recording for the safety of the wearer. For keeping a track of the wearer, the device connects to the internet using GPRS and sends the images clicked, the sound recorded and the GPS and GSM coordinates to the rescue team for gaining help for the wearer if needed. In the present invention, various technologies are integrated into one single wearable device thereby eliminating the need for purchasing and carrying multiple devices like pulse monitor, motion monitor, phone, camera, GPS module, self-defence tools, etc. thus saving money and providing comfort to the user.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to IoT & AI enabled device for girl safety.
AU2020103682A4- The Intelligent Threat Alert and Tracking System were designed with a concern ensuring safety of women. This proposed invention was built based on the idea of the existing systems and Intelligence component was incorporated which makes the proposed system stand out from the existing systems. The System has modules, (i) Smart Sensors and Microprocessor (ii) Self Defence Module(iii) Intelligent Mobile Application with Alert and Tracking Module and iv) Zero Hour Safety App. The invention disclosed here in uses sensor-based data and process this information through Cloud based Machine Learning Technique which makes the Invention Intelligent. There are high chances of False positives alerted in the existing systems, which is addressed in the invention disclosed here. And also, Self-Defensive module has been incorporated just to make sure the victim tries to manage the situation until people or police comes for rescue. 2/3 Rivets Sweat Rate Sensor Outlet to PCB Connector Piezoelectric Sensor Figure 3: Self Defensive Gloves.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Combining real-time monitoring, intelligent alert systems, and predictive health analytics, the IoT-enabled safety gadget augmented with artificial intelligence (AI) is a state-of-the-art solution for personal security. In addition to addressing conventional safety issues, this cutting-edge device uses AI to offer a proactive and flexible security framework. In order to ensure prompt interventions during emergency scenarios, the gadget may communicate in real-time with emergency contacts and services, sending distress signals and GPS coordinates in an instant. AI-driven automatic event detection analyses sensor data using complex algorithms to identify falls, odd movements, and other possible emergencies without the need for user intervention. This feature optimizes security by ensuring immediate action even when the user fails to manually trigger an alert.
Continuous health monitoring is an important aspect of AI technology, as it employs algorithms to evaluate physical indicators including heart rate and activity level, anticipate and alert users of potential health issues, offer insights into long-term health trends, and facilitate preventative measures.
A sophisticated integrated system for communication, analysis, and data gathering is illustrated in figure 1 above. It features a central computing unit with a vision camera, microphone, and peripherals like a keyboard and mouse. It has a GPS module, accelerometer, gyroscope, heart rate sensor, and DHT11 sensor. Sensors are employed to collect data on motion, location, heart rate, and surrounding factors. It supports Bluetooth, WiFi, GPRS, and LoRa technologies. The system is connected to a cloud platform that provides data analysis, AI model forecasting, and a dashboard for generating, tracking, and capturing SoS signals, making it suitable for applications that require extensive communication, comprehensive environmental and physiological monitoring, and real-time monitoring, analysis, and response to various inputs.
The device's multi-mode connections, includes GSM, Wi-Fi, and Bluetooth, allows for seamless data transfer, real-time tracking, and interaction with cloud-based systems and cellphones. This remote update and configuration upgrade maintains the device responsive and up to date.
A user-centered protective system's workflow involves interacting with a security device equipped with multiple sensors. Data is gathered and delivered to an AI module, which compiles readings and pre-processes them. The AI module then organizes the data in preparation for evaluation. Feature extraction is the process of employing data to determine patterns or characteristics that are subsequently utilized in model prediction for predicting outcomes or identify specific conditions, hence controlling the system's decision-making procedure.
The wearable, AI-enhanced device saves data on a cloud server for real-time monitoring and alerts, safeguarding the privacy of users. The wearable device, which features a SoS trigger button, LED indications, and AI learning, provides a smart, adaptable solution for safety and wellness.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
FIGURE 2 MODEL IMPLEMENTATION
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Combining real-time monitoring, intelligent alert systems, and predictive health analytics, the IoT-enabled safety gadget augmented with artificial intelligence (AI) is a state-of-the-art solution for personal security. In addition to addressing conventional safety issues, this cutting-edge device uses AI to offer a proactive and flexible security framework. In order to ensure prompt interventions during emergency scenarios, the gadget may communicate in real-time with emergency contacts and services, sending distress signals and GPS coordinates in an instant. AI-driven automatic event detection analyses sensor data using complex algorithms to identify falls, odd movements, and other possible emergencies without the need for user intervention. This feature optimizes security by ensuring immediate action even when the user fails to manually trigger an alert.
Continuous health monitoring is an important aspect of AI technology, as it employs algorithms to evaluate physical indicators including heart rate and activity level, anticipate and alert users of potential health issues, offer insights into long-term health trends, and facilitate preventative measures.
A sophisticated integrated system for communication, analysis, and data gathering is illustrated in figure 1 above. It features a central computing unit with a vision camera, microphone, and peripherals like a keyboard and mouse. It has a GPS module, accelerometer, gyroscope, heart rate sensor, and DHT11 sensor. Sensors are employed to collect data on motion, location, heart rate, and surrounding factors. It supports Bluetooth, WiFi, GPRS, and LoRa technologies. The system is connected to a cloud platform that provides data analysis, AI model forecasting, and a dashboard for generating, tracking, and capturing SoS signals, making it suitable for applications that require extensive communication, comprehensive environmental and physiological monitoring, and real-time monitoring, analysis, and response to various inputs.
The device's multi-mode connections, includes GSM, Wi-Fi, and Bluetooth, allows for seamless data transfer, real-time tracking, and interaction with cloud-based systems and cellphones. This remote update and configuration upgrade maintain the device responsive and up to date.
A user-centered protective system's workflow involves interacting with a security device equipped with multiple sensors. Data is gathered and delivered to an AI module, which compiles readings and pre-processes them. The AI module then organizes the data in preparation for evaluation. Feature extraction is the process of employing data to determine patterns or characteristics that are subsequently utilized in model prediction for predicting outcomes or identify specific conditions, hence controlling the system's decision-making procedure.
The wearable, AI-enhanced device saves data on a cloud server for real-time monitoring and alerts, safeguarding the privacy of users. The wearable device, which features a SoS trigger button, LED indications, and AI learning, provides a smart, adaptable solution for safety and wellness.
Present invention comprises of Computing Unit (10), Vision Camera (11), Mike (12), Keyboard & Mouse (13), Battery 12V, 7AH (14), Accelerometer (15), Gyroscope (16), GPS Module (17), Heart Rate Sensor (18), DTH11 Sensor (19), Communication Module (20), GPRS (21), Bluetooth (22), Wifi (23), LORA (24).
The AI module is configured to: Automatically detect falls, odd movements, and other potential emergencies; Analyze sensor data to predict potential health issues; Offer insights into long-term health trends; and facilitate preventative measures.
The communication module is configured to: Transfer data seamlessly between the device and cloud-based systems; Enable real-time tracking of the device's location; and Allow for remote updates and configuration upgrades.
In another embodiment a SoS trigger button, LED indications, and AI learning capabilities.
In another embodiment sensors are employed to collect data on motion, location, heart rate, and surrounding factors; supports Bluetooth, WiFi, GPRS, and LoRa technologies.
In another embodiment the device is connected to a cloud platform that provides data analysis, AI model forecasting, and a dashboard for generating, tracking, and capturing SoS signals, making it suitable for applications that require extensive communication, comprehensive environmental and physiological monitoring, and real-time monitoring, analysis, and response to various inputs.
In another embodiment the device's multi-mode connections, includes GSM, Wi-Fi, and Bluetooth, allows for seamless data transfer, real-time tracking, and interaction with cloud-based systems and cellphones; and this remote update and configuration upgrade maintain the device responsive and up to date.
In another embodiment a user-centered protective system's workflow involves interacting with a security device equipped with multiple sensors; and Data is gathered and delivered to an AI module, which compiles readings and pre-processes them.; and the AI module then organizes the data in preparation for evaluation; wherein Feature extraction is the process of employing data to determine patterns or characteristics that are subsequently utilized in model prediction for predicting outcomes or identify specific conditions, hence controlling the system's decision-making procedure.
In another embodiment the wearable, AI-enhanced device saves data on a cloud server for real-time monitoring and alerts, safeguarding the privacy of users; and the wearable device, which features a SoS trigger button, LED indications, and AI learning, provides a smart, adaptable solution for safety and wellness.
8. A method for personal safety using a wearable device, comprising the steps of:
Collecting data from sensors on the device;
Processing the collected data using an AI module to detect emergencies, monitor health, and provide alerts;
Communicating with emergency contacts and services in real-time; and
Storing data on a cloud server for analysis and monitoring.
ADVANTAGES OF THE INVENTION
1. The device analyzes important health signs like heart rate and notifies users about potential illnesses and variances.
2. The suggested fall detection system employs built-in sensors to detect falls and unusual movements, delivering alerts even while the individual using it is unattended.
3. The device's real-time notifications improve emergency response via distress signals and exact GPS geographical areas.
4. The suggested system communicates with cloud-based services and cellular devices using Bluetooth, Wi-Fi, and GSM, ensuring uninterrupted data transmission and connectivity.
5. The suggested device, equipped with a SoS trigger button and LED signals, is designed for easy activation and use during emergencies.
, Claims:1. An IoT & AI Enabled Device for Girl Safety comprises of Computing Unit (10), Vision Camera (11), Mike (12), Keyboard & Mouse (13), Battery 12V, 7AH (14), Accelerometer (15), Gyroscope (16), GPS Module (17), Heart Rate Sensor (18), DTH11 Sensor (19), Communication Module (20), GPRS (21), Bluetooth (22), Wifi (23), LORA (24);
wherein the AI module is configured to: Automatically detect falls, odd movements, and other potential emergencies; Analyze sensor data to predict potential health issues; Offer insights into long-term health trends; and Facilitate preventative measures;
wherein the communication module is configured to: Transfer data seamlessly between the device and cloud-based systems; Enable real-time tracking of the device's location; and Allow for remote updates and configuration upgrades.
2. The device as claimed in claim 1, wherein device further comprising a SoS trigger button, LED indications, and AI learning capabilities.
3. The device as claimed in claim 1, wherein Sensors are employed to collect data on motion, location, heart rate, and surrounding factors; supports Bluetooth, WiFi, GPRS, and LoRa technologies.
4. The device as claimed in claim 1, wherein the device is connected to a cloud platform that provides data analysis, AI model forecasting, and a dashboard for generating, tracking, and capturing SoS signals, making it suitable for applications that require extensive communication, comprehensive environmental and physiological monitoring, and real-time monitoring, analysis, and response to various inputs.
5. The device as claimed in claim 1, wherein the device's multi-mode connections, includes GSM, Wi-Fi, and Bluetooth, allows for seamless data transfer, real-time tracking, and interaction with cloud-based systems and cellphones; and this remote update and configuration upgrade maintain the device responsive and up to date.
6. The device as claimed in claim 1, wherein a user-centered protective system's workflow involves interacting with a security device equipped with multiple sensors; and Data is gathered and delivered to an AI module, which compiles readings and pre-processes them.; and the AI module then organizes the data in preparation for evaluation; wherein Feature extraction is the process of employing data to determine patterns or characteristics that are subsequently utilized in model prediction for predicting outcomes or identify specific conditions, hence controlling the system's decision-making procedure.
7. The device as claimed in claim 1, wherein the wearable, AI-enhanced device saves data on a cloud server for real-time monitoring and alerts, safeguarding the privacy of users; and the wearable device, which features a SoS trigger button, LED indications, and AI learning, provides a smart, adaptable solution for safety and wellness.
8. A method for personal safety using a wearable device, comprising the steps of:
Collecting data from sensors on the device;
Processing the collected data using an AI module to detect emergencies, monitor health, and provide alerts;
Communicating with emergency contacts and services in real-time; and
Storing data on a cloud server for analysis and monitoring.