AI-Powered Money Laundering Detection System and Method

Abstract

The invention relates to an AI-powered seizure detection system and method for use in homes or healthcare settings, which automatically detects whether any individual, especially children, is experiencing a seizure.

Description

1 TARIFF AI-Powered Money Laundering Detection System and Method TECHNICAL AREA 5 The invention is an AI-powered device for use in homes or healthcare facilities, especially. Automatically detects whether any individual, including children, is having a seizure. It relates to an artificial intelligence-powered money transfer detection system and method. PREVIOUS TECHNIQUE Nowadays, manual methods are generally used in seizure episodes or seizure situations. These methods include temperature measurement and visual inspection. Applications are available. However, due to the manual nature of the process, it is particularly important for younger children under 15. Detecting seizures in these groups becomes quite difficult. Young children Because they cannot express their discomfort, this situation usually depends on parental control. This is noticed. This also increases the possibility of critical situations such as money transfers being overlooked. This increases the risk of seizures, especially in younger children who are unable to express themselves. This further increases the risks stemming from the manual nature of the detection process. 20 As a result of research conducted in the literature, the application number “2020 / 07989” and “TERMAL HIGH FEVER SYMPTOM USING CAMERAS AND CHIP-ENABLED IDENTIFICATION CARDS IDENTIFYING AND WARNING PEOPLE SHOWING INFECTIOUS DISEASES. "A SYSTEM THAT ENSURES THE DELIVERY AND MONITORING OF THE PROCESS" is the title of the invention by Türkiye 25. A patent application has been found. The application concerns the conversion of timekeeper records into chip-enabled identity cards. employees of an institution or organization monitoring through this system, or those using public transportation with a chip-enabled ID card. People with infectious diseases who use their cards and show symptoms of high fever, Detection using thermal cameras and chip-enabled ID cards, and a warning regarding the detection. the creation of a 30-year-old medical record book, including records of the treatment process and other disease-related data. It relates to a system that enables storage on a blockchain network. However, the mentioned The application includes AI-powered devices used in homes or healthcare facilities. It automatically detects whether any individual, especially children, is having a seizure. an indication related to an AI-powered money transfer detection system and method No such encounters have been reported. 35 2 Ultimately, the problems mentioned above, which cannot be solved with current technology, are the subject of this technical analysis. This has made it necessary to make an innovation in the field. A BRIEF DESCRIPTION OF THE INVENTION The present invention aims to eliminate the aforementioned disadvantages and introduce new 5 to the relevant technical field. It relates to an AI-powered money transfer detection system and method designed to bring advantages. The main purpose of the invention is to create an AI-powered system for use in homes or healthcare facilities. It is used to determine whether individuals, especially children, have had seizures. The goal is to obtain a system that detects automatically. 10 All the purposes mentioned above and those that will emerge from the detailed explanation below. The current invention aims to realize an AI-powered, home- or healthcare-like system. used in institutions where all individuals, especially children, can experience seizures It is an AI-powered money transfer detection system that automatically detects that the transaction has not been processed, 15 Its feature is to measure the person's oxygen saturation and transmit the oxygen level to the sensor control module. The saturation measurement sensor measures the person's pulse and transmits the data to the sensor control module. The pulse measurement sensor measures the person's temperature and transmits the temperature reading to the sensor control module. The sensor transmits the measurement values ​​received by the sensor control module to the mobile application. The sender requests that the devices within the system be introduced to the mobile application, and that the devices communicate with each other within 20 days. The connection module that enables communication and sending commands to the mobile application. The temperature measurement sensor, pulse measurement sensor, and oxygen sensor on the sensor-equipped measuring device. It controls the saturation measurement sensors and takes measurements from the aforementioned sensors. sends commands, receives measurements from sensors, and transmits them to the connection module. The aforementioned sensor control module is located on the sensor-equipped measuring device and the camera, 25 modules, sensors and general electronics on the sensor-equipped measuring device and camera on the motherboard, sensor-equipped measuring device and camera that enables the control to be carried out The modules on the sensor-equipped measuring device and the camera, and the operation of the sensors are located there. and the battery module, which provides the general power supply, runs inside it. The image of the person to be tracked is transferred to the image processing module via software. 30 and at least 2 devices for capturing images and recording videos, enabling the filming of these images and videos. The imaging module, which has a lens, displays images via the software running inside it. receiving images transmitted by the module and converting them into a format that the artificial intelligence module can understand. The aforementioned image processing module, which is responsible for translation, has wireless internet access. The data processed by the image processing module and the captured images / videos are analyzed. 35 an artificial intelligence model / algorithm trained with transfer images and images 3 The algorithms mentioned, which have a deep learning algorithm used for processing. through this, the person experiences loss of consciousness, jaw clenching, or perception of involuntary movements. The connection module detects whether the person has made / can make a transfer and identifies the transfer request. AI module that sends money transfer detection commands / information, AI-powered operation, A camera capable of using Bluetooth and / or Wi-Fi connectivity, providing a full body view of the person. a device positioned on it, which can be turned on and off with the on / off switch on it, and which has Bluetooth It can connect to other devices via Bluetooth using the button, and via a mobile application. When a command is received from the paired mobile application, the viewing module displays the person's image and... The video was filmed and analyzed, showing conditions such as loss of consciousness, jaw clenching, and involuntary movements. The aforementioned camera, which enables this, is attached to the body of the person being tracked, 10 It includes a sensor control module, connection module, battery module, and pulse measurement sensor. It has a temperature measurement sensor and an oxygen saturation measurement sensor, with an on / off switch. It can be turned on and off with the button, and can connect to other devices via Bluetooth using the Bluetooth button on top. capable of establishing a connection, paired with a mobile application, and sending measurement results to the mobile application. to be sent at regular intervals: pulse measurement sensor, temperature measurement sensor and oxygen 15 A device that measures a person's temperature, pulse, and oxygen saturation using a saturation measurement sensor. The aforementioned sensor-based measuring device is operated on a mobile device and works via the internet. It connects to the camera and sensor-equipped measuring device via a connection module. images / videos captured by the camera and saved to the mobile device according to the entered period Bluetooth connection, location 20, which allows it to be deleted, from the permission screen located on it. It has a sensor-equipped measuring device and can be granted connection, notification, and background operation permissions. The AI ​​module receives and tracks the person's pulse, temperature, and oxygen levels. Graphical representation of saturation values ​​and calculations made by artificial intelligence algorithms. It includes money transfer analysis tools and allows filtering data in the graphs. The welcome screen allows you to add devices that will connect to the system, and the added devices are device 25. Type, device name, device battery status, whether the device is paired, what the device is tracking Personal information: name, surname, date of birth, blood type, medical condition, allergies, height, weight, medications used. access to details such as a relative's phone number and the devices mentioned and The device adding screen allows information to be displayed in list form, showing the captured and processed data. the ability to review images and videos, and if requested, 30 of the aforementioned images. the ability to filter images and share them with different devices a messaging platform that provides, is trained with health data, and answers health-related questions. It has a prompted message field, a send button, and AI feedback. and the AI ​​screen, integrated with the AI ​​module, is connected to the mobile application and its contents. Screen settings are adjusted, and information about the person who will use the mobile application is stored. 35 The system determines when and how the mobile application will provide notifications. Settings related to the mobile application as a whole can be adjusted, and issues experienced on the mobile application can be resolved. 4 Settings that allow you to create requests for problems or additional details regarding mobile application usage. The sensor-equipped measuring device, which has a screen, is not attached to the body of the person being tracked, and the camera... If the monitor is not positioned in a way that allows it to see the person being tracked from a suitable angle, a notification / warning will be issued. The provider includes the aforementioned mobile application. The best way to utilize the advantages of the existing invention, together with its structure and additional elements. For it to be understood, it must be considered together with the figures explained below. BRIEF DESCRIPTION OF THE FIGURES Figure 1 is a representative illustration of the artificial intelligence-powered money transfer detection system that is the subject of the invention. Figure 2 is a representative illustration of the mobile application used in the invention. Figure 3 is a representative illustration of the mobile application welcome screen button. Figure 4 is a representative illustration of the device adding screen button in the mobile application. Figure 5 is a representative illustration of the mobile application's device adding button. 15 Figure 6 is a representative illustration of the AI ​​screen button in a mobile application. Figure 7 is a representative illustration of the mobile application settings screen button. Figure 8 is a representative illustration of the mobile application authorization screen. Figure 9 is a representative illustration of the mobile application's welcome screen. Figure 10 is a representative illustration of the mobile application device adding screen. 20 Figure 11 shows a representation of the screen that opens when the "add device" button in the mobile application is clicked. It is a representation. Figure 12 shows the device adding screen in the mobile application via Bluetooth search. It is a representative illustration of the stage he has fallen into. Figure 13 shows the screen after adding a Bluetooth device on the mobile application's device adding screen (25). It is a representative illustration. Figure 14 shows a representative image of the device details screen on the mobile application's device adding screen. It is a representation. Figure 15 is a representative illustration of the artificial intelligence screen. Figure 16 shows a representative 30 of the screen that opens when you click on the images area in the AI ​​screen. It is a representation. Figure 17 shows a representative image of the screen that opens when the videos area is clicked on the AI ​​screen. It is a representation. Figure 18 is a representative illustration of the settings screen. Figure 19 is a representative illustration of the settings screen profile management screen. 35 Figure 20 is a representative illustration of the notification management screen in the settings menu. Figure 21 is a representative illustration of the application management screen within the settings screen. Figure 22 is a representative illustration of the settings screen, contact us, and support screen. Figure 23 is a representative illustration of the internal details of the Gen-A algorithm. Figure 24 shows a representative illustration of the device's power button. Figure 25 is a representative illustration of the Bluetooth connection button. Figure 26 is a representative illustration of the pulse measurement sensor. 5 Figure 27 is a representative illustration of the oxygen saturation measurement sensor. Figure 28 is a representative illustration of a fever measurement sensor. Figure 29 shows the control of wireless connectivity (wifi, bluetooth, etc.) and system elements (camera, A representative image of the module that controls the data exchange between the mobile application and the measuring device. It is a representation. 10 Figure 30 is a representative illustration of the battery module. Figure 31 is a representative illustration of the motherboard. Figure 32 shows a representative image of the flexible bands with suction cups that allow the measuring device to be attached to the body. It is a representation. Figure 33 is a representative illustration of the arrows showing the connections between the modules. 15 Figure 34 is a representative illustration of the image processing module. Figure 35 is a representative illustration of the display module. Figure 36 is a representative illustration of the sensor control module. Figure 37 is a representative illustration of the artificial intelligence module. Figure 38 is a representative top view of the sensor-based measuring device. 20 Figure 39 is a representative bottom view of the sensor-based measuring device. Figure 40 is a representative illustration of the layer containing the sensors. Figure 41 is a representative side view of the sensor-based measuring device. Figure 42 is a representative illustration of the measuring device on a person. Figure 43 is a representative illustration of the camera's external appearance. 25 Figure 44 is a representative illustration of the internal detail view of the sensor-equipped measuring device. Figure 45 is a representative illustration of the camera's internal detail view. The drawings do not necessarily need to be scaled and are necessary for understanding the invention. Details that are not present may have been overlooked. Furthermore, at least to a large extent, 30 Elements that are identical or at least have substantially identical functions are numbered the same. It is shown. REFERENCE NUMBERS 35 1. Camera 2. Sensor-based measuring device 6 3. Mobile application 4. Motherboard 5. Battery module 6. Display module 7. Image processing module 5 8. Artificial intelligence module 9. Flexible bands 10. Connection module 11. Oxygen saturation measurement sensor 12. Heart rate sensor 10 13. Temperature measurement sensor 14. Sensor control module AE. Main screen KE. Welcome screen 15 CEE. Device adding screen AI screen. AYE. Settings screen YE. Authorization screen GK. Input layer 20 HR. Processing layer Board of Directors. Commentary layer SK. Result layer KK. Command layer D. Continued 25 CA. Device search CE. Add device G. Geri Appendix 1. Device to be added 1 Appendix 2. Devices to be added: 2 30 K. Save PY. Profile management BY. Notification management AI management. UY. Application management 35 THIS. Contact us and get support. SB. Audible notification 7 TB. Vibration notification SMSB. SMS notification MB. Mail notification UA. Application settings KA. User settings 5 SUA. System element settings DETAILED DESCRIPTION OF THE INVENTION This detailed explanation describes the AI-powered money transfer detection system and 10 The method will not only contribute to a better understanding of the subject but will also have no limiting effects. This is explained with examples. AI-powered money transfer detection system and method, camera (1), sensor measuring device (2), mobile application (3), motherboard (4), battery module (5), display module (6), image processing 15 module (7), artificial intelligence module (8), flexible bands (9), connection module (10), oxygen saturation measurement sensor (11), pulse measurement sensor (12), fever measurement sensor (13), sensor It includes a control module (14). Camera (1) is AI-powered, via Bluetooth and / or A camera that uses a Wi-Fi connection and is positioned to see the person's entire body, It can be turned on and off with the on / off switch on it, and it can be connected to other 20 devices via the Bluetooth button on it. mobile devices that can connect via Bluetooth, paired with the mobile application (3), mobile When a command comes from the application (3), the viewing module (6) displays the image and video of the person. and analysis of conditions such as loss of consciousness, jaw clenching, and involuntary movements It is a device that provides sensor measurement (2), placed on the body of the person to be monitored. connected, sensor control module (14), connection module (10), battery module 25 (5), pulse measurement sensor (12), temperature measurement sensor (13) and oxygen saturation measurement sensor (11) located on it, which can be turned on and off with the on / off switch, and has a bluetooth button on it. It can connect with other devices via Bluetooth, paired with the mobile application (3), to send the measurement results to the mobile application (3) pulse measurement at regular intervals with sensor (12), fever measurement sensor (13) and oxygen saturation measurement sensor (11) the person's 30 It is a device that measures fever, pulse and oxygen saturation. Mobile application (3), mobile device operated on, internet powered, via connection module (10) camera (1) and Connecting with the sensor measuring device (2), the camera (1) according to the period entered through it It allows you to delete images / videos that have been taken and saved to your mobile device. From the authorization screen (AU), Bluetooth connection, location connection, notifications and background 35 working authorizations can be given to the sensor measuring device (2) and artificial intelligence module (8) pulse, temperature, and oxygen saturation values ​​of the person taken and monitored by 8 It includes graphical representations and analyses performed by artificial intelligence. The welcome screen (WS), which enables filtering of data in the graphs, allows access to the system via this screen. Allows adding devices to connect, specifying the device type, device name, and device charging status of the added devices. status, whether the device is paired or not, name and surname of the person the device is tracking, Date of birth, blood type, medical condition, allergies, height, weight, medications used, phone number of a close relative. details such as the serial number should be accessible, and the mentioned devices and information should be listed. The captured and processed data can be viewed via the Device Addition Screen (CEE). the ability to review images and videos, and if requested, the aforementioned visuals It enables filtering and allows the aforementioned images to be shared across different devices. 10 messaging platforms that provide health data, are trained on it, and answer health questions. It has a prompted message field, a send button, and AI feedback. and the AI ​​screen (AISE) integrated with the AI ​​module (8), via mobile The mobile application (3) and the settings for the screens within it are made through the application. Information about the person who will use the application (3) is entered, which mobile application (3) 15 regarding the mobile application (3) in general, in which situations and in what way it will give notifications. problems experienced on the mobile application (3) where adjustments can be made or mobile Settings screen (AYE) where a request can be made for additional details regarding the use of application (3) found that the sensor measuring device (2) was not attached to the body of the person being tracked and the camera (1) If the monitor is not positioned in a way that allows it to see the person being tracked from a suitable angle, a notification / warning will be issued. It is the application that provides. Located on the motherboard (4), sensor measuring device (2) and camera (1), 20 modules, sensors and general on the sensor measuring device (2) and camera (1) It is the board that enables electronic control. Battery module (5), sensor measurement sensor measuring device (2) and camera (1) located on the device (2) and camera (1) the operation of the modules and sensors on it and meeting the general power requirements It is the module that provides. The display module (6) provides 25 through the software that runs in it. images and videos of the person to be monitored to be transferred to the image processing module (7) at least 2 camera (1) lenses to enable taking pictures and videos. It is the module that has. The image processing module (7) runs software within it. receiving images transmitted by the imaging module (6) and the artificial intelligence module (8) It is the module that works to translate into a form that it can understand. The artificial intelligence module (8), wireless 30 data processed by the image processing module (7) and captured by having internet access an artificial intelligence that analyzes images / videos, trained with remittance images It has a model / algorithm and a deep learning algorithm used for image processing. This can cause loss of consciousness, jaw clenching, and unconsciousness in the individual through the aforementioned algorithms. In case of motion detection, the connection module (10) can transmit a message to 35 people. It is the module that sends commands / information. Flexible bands (9), with suction cups and sensor measuring device (2) the sensor measuring device (2) located on both sides of the body of the person to be monitored 9 These are tapes that enable connection / bonding. Connection module (10), sensor control The system sends the measurement values ​​transmitted by the module (14) to the mobile application (3). introducing the devices inside to the mobile application (3), enabling the devices to communicate with each other and is the module that enables sending commands to the mobile application (3). Oxygen saturation The measuring sensor (11) transmits the person’s oxygen to the sensor control module (14) It is the sensor that measures saturation. The pulse measurement sensor (12) is connected to the sensor control module (14) It is a sensor that measures a person's pulse in order to transmit it. Fever measurement sensor (13), sensor control It is a sensor that measures a person's temperature to transmit it to the module (14). Sensor control module (14), fever measurement sensor (13), pulse measurement sensor (12) on the sensor measuring device (2) and 10 sends commands to take measurements, receives measurements from sensors, and makes connections. It is the controller that transmits to module (10). AI-powered money transfer detection system and method to automate money transfer detection. The aim is to achieve this. An artificial intelligence-supported system is used to do so. The idea for the system dates back to 15 It consists of three main elements. These are the AI-powered camera (1), which will be monitored The sensor measuring device (2) to be attached to the person's body, general control of the system and AI-powered mobile system that will enable the operation of the elements (camera (1) and measuring device) is the application (3). Working process of artificial intelligence-supported remittance detection system and method. It is as follows: 20  The sensor measuring device (2) and the camera (1) are switched on.  Long press the bluetooth icon on the sensor measuring device (2) and the camera (1) It is made visible by being printed.  Turn on features such as Bluetooth, Wi-Fi, and location services on your mobile device. The application (3) is entered. 25  From the device adding screen (3) in the mobile application (CEE) camera (1) and sensor a measuring device (2) is added.  Pairing the added devices with each other via the mobile application (3) It is possible.  The sensor measuring device (2) is attached to the person's body. 30  The camera (1) is positioned to view the entire body of the person. From the mobile application (3) The camera (1) is on standby until the command is received.  After the connections and pairings are made, the sensor measuring device (2) first measures fever, The doctor begins taking pulse and oxygen measurements.  If there are abnormalities in the measured values ​​(high fever, low pulse, etc.), the sensor will detect them. The measuring device (2) values ​​are applied to the mobile application (3) via the connection module (10) sends.  Measurement values ​​are in the Gen-A AI module (8) in the mobile application (3). It is sent to the input layer (IP) in the algorithm. 5  Data transmitted to the artificial intelligence module (8) is collected by the input layer (IP) and The data is transmitted to the processing layer (RP).  Data transmitted from the input layer (IP) to the processing layer (PL) is processed. and is processed. The processed data is then directed to the interpretation layer (OL).  In the comment layer (ML), comments are generated regarding the transfer status using the processed data. 10 The generated comments are sent to the results layer (RL).  The result layer (RL) is reached through comments transmitted by the comment layer (RL). A result is generated regarding the transfer status. The generated result is sent to the command level (CL). is directed.  The results are sent to the mobile application (3) via the command layer (CL). 15  If there is any doubt about the transfer as a result of the mobile application (3) evaluation The mobile application sends a command to the camera (1) for the (3) person’s external appearance details.  The camera (1) starts taking pictures and videos of the person with the imaging module (6).  Images captured by the imaging module (6) are transmitted to the image processing module (7). (Videos are sent to the mobile device's memory.) 20  Images transmitted to the image processing module (7) are processed and the processed data is processed by artificial intelligence. is sent to module (8).  The processed images are fed into the CNN algorithm located in the artificial intelligence module (8) and The data is processed by the CNN algorithm in the artificial intelligence module. (8) is sent to the input layer (IP) in the Gen-A algorithm. 25  Data transmitted to artificial intelligence is collected by the input layer (IP) and processed. It is transmitted to the processing layer (PP). Transmitted by the input layer (IP) to the processing layer (PP). Data is processed and handled.  The processed data is directed to the interpretation layer (EL). The data processed in the interpretation layer (EL)... The data is used to generate interpretations regarding the transfer status. 30  The generated results are routed to the command layer (CL). The command layer (CL) then processes the results. It is sent to the mobile application (3).  Mobile application (3) via mobile device according to the latest evaluations It sends a notification to the user. 11  These processes continue in a cycle. (That is, from the sensor measuring device (2) to the mobile Transfer to the application (3), transfer from the mobile application (3) to the camera (1), mobile (3) Notification to the user from the application etc.)  When use is complete, the mobile application (3) is closed.  The camera (1) and the sensor measuring device (2) are switched off. 5 AI-Powered Camera (1): One of the main elements of the system is the camera (1), artificial intelligence module (8), image processing module (7), display module (6), battery module (5) and connection module (10) They are communicating. The camera (1) is positioned at an angle that will allow it to see the person being followed completely. It needs to be installed. It can also be wall-mounted with a wall bracket if desired. Wall The device is mounted in the desired area. The camera (1) is attached to this device, depending on the situation, from here It is detachable and attachable. After the camera (1) is installed, it is switched on by pressing the on / off button. Then, by long pressing the bluetooth button on the camera (1), the camera (1) is connected via bluetooth. It is made possible to connect. In this way, the camera (1) is visible to the mobile application (3) and 15 The connection is established (Connection processes are also detailed). After the connection is established... Camera (1) starts working. Camera (1) can be operated from the mobile application (3) It waits for the command. When that command arrives, it takes pictures of the person to be tracked. If the transfer is made... If they suspect something is amiss, they also film the person. These videos are recorded using mobile devices. It is stored in memory. This way, professional support can be obtained in case of a money transfer, using these 20. The videos are for support purposes. (In case of bank transfers, how long the transfer takes, how it works) Images and videos are frequently requested to see the situation.) Camera (1) It is rechargeable for convenience. The camera (1) has Bluetooth and Wi-Fi connectivity. It uses the connection. Bluetooth access provides connection to the mobile application (3) and It is necessary for data transfer. Wifi, i.e. wireless internet access, is required for the artificial intelligence module (8) 25 It is necessary for the study. In cases of seizures, loss of consciousness, jaw locking, unconsciousness Situations such as movements can occur. The camera (1) is used for the detection and analysis of these situations. It is used. The modules and functions in the internal structure of the camera (1) are as follows;  The person to be monitored can be tracked with the imaging module (6) located inside the camera (1). Images and videos are captured. This module has at least 2 camera (1) lenses attached. 30 One of the lenses takes images and the other records video. The camera (1) processes the images. This is done if a seizure is suspected or begins in the person being monitored. For professional evaluation, the camera (1) also records the video. By the camera (1) The captured images are transferred to the image processing module (7).  Inside the camera (1), the images transmitted by the imaging module (6) are displayed. There is an image processing (7) module that will process the image. This module is the image module (6) 12 by processing the images taken by the AI ​​module (8) into a form that it can understand. It translates.  Inside the camera (1), the data is processed by the image processing module (7). There is an artificial intelligence module (8) to interpret. The artificial intelligence module (8) has 2 sub-artificial It consists of intelligence algorithms. The first of these, trained with seizure images, is 5 An artificial intelligence model / algorithm that will process images will be called Gen-A. The CNN deep learning algorithm is used for this. In seizure situations, the person loses consciousness. outwardly visible conditions such as jaw loss, jaw clenching, and involuntary movements It is formed. If there is any suspicion of a transfer in the comments, the connection module (10) command are sent. Artificial intelligence uses these images. Artificial intelligence module (8) 10 CNN (Convolutional Neural Network) is used to process the captured images of the person. It uses the Neural Network algorithm. Separated from the image processing module (7). After the images arrive at the AI ​​module (8), they are given as input to this algorithm. CNN processes these images and gives them to Gen-A. Finally, Gen-A processes the given images and... He comments on the transfer status. 15  If, inside the camera (1), the interpretation is generated by the artificial intelligence module (8), If the person in question has a suspected seizure or is in the early stages of a seizure, a sensor is implanted in their body. mobile measuring device for measuring the pulse, fever and oxygen saturation values ​​of (2) people There is a connection module (10) that will send commands to the application (3). Connection module (10) Introducing the devices within the system to the mobile application (3), and connecting the devices with each other 20 It enables communication and sending commands to the mobile application (3).  The modules inside the camera (1) and the general electronic control of the camera (1) There are motherboards (4).  Inside the camera (1), the modules and the general power requirements of the camera (1) There is a battery module (5). 25 Sensor Measuring Device (2): Another main element of the system is the sensor measuring device (2) to track the person It will be attached to the body. For this purpose, the sensor measuring device (2) has suction cups on both sides. Flexible bands (9) are connected. At the ends of the flexible bands (9) there are 30 feet of fabric attached to the person's body. It has detachable suction cups that allow it to adhere. Through these suction cups... The sensor measuring device (2) is attached to the body of the person being monitored. Sensor measuring The device (2) contains the sensor control module (14), connection module (10), battery module (5), pulse measurement sensor (12), temperature measurement sensor (13) and oxygen saturation measurement It consists of a sensor (11). The use of the sensor measuring device (2) is as follows; 35 Suction cups are attached to the ends of the flexible extensions (2) of the sensor measuring device. Sensor measuring The device (2) is attached to the chest of the person to be monitored thanks to the flexible bands (9). 13 After the sensor measuring device (2) is placed on the body, the on / off button is pressed. It is made operational. Then press and hold the bluetooth button on the sensor measuring device (2). By pressing the button, the sensor measuring device (2) can be connected via Bluetooth. In this way The sensor measuring device (2) is visible and connected by the mobile application (3). After the connection is made, the sensor measuring device (2) starts working. Sensor measuring device 5 (2) takes measurements at regular intervals and sends the results to the mobile application (3). Also, transfers In case of suspicion or transfer, commands are given to the mobile application (3) via the camera (1). is sent. In the mobile application (3) the sensor measuring device (2) is sent depending on this command. sends. The sensor measuring device (2) also measures the person's temperature, pulse and oxygen with this command. It measures the saturation values ​​and sends them to the mobile application (3). The final result is 10 The user is given information according to the values. The sensor measuring device (2) is rechargeable for convenient use. It is structured as follows: Communication between the sensor measuring device (2) and the mobile application (3) is via Bluetooth. Bluetooth access is used to establish a connection to the mobile application (3). It is necessary. The modules and functions in the internal structure of the sensor measuring device (2) are as follows: It is as follows; 15  The sensor control module (14) is located inside the sensor measuring device (2). The sensor control module (14) temperature measurement sensor (13) on the sensor measuring device (2), Checking the pulse measurement sensor (12) and oxygen saturation measurement sensors (11) It provides this. It sends commands to the sensors to take measurements. By the sensors It takes the measurements and sends them to the connection module (10). 20  The connection module (10) is located inside the sensor measuring device (2). Connection The measurement values ​​transmitted by the module (10) sensor control module (14) are mobile sends to the application (3).  Inside the sensor measuring device (2) there is a pulse sensor that will measure the pulse of the person being monitored. There is a pulse measurement sensor (12). The pulse measurement sensor (12) measures the person's pulse and 25 sends to the sensor control module (14).  Inside the sensor measuring device (2), the oxygen saturation of the person being monitored There is an oxygen saturation measurement sensor (11) to measure oxygen saturation. The sensor (11) measures the oxygen saturation of the person and sends the oxygen saturation information to the sensor. sends to the control module (14). 30  Inside the sensor measuring device (2) there is a temperature measuring device that will measure the temperature of the person being monitored. There is a sensor (13). The fever measurement sensor (13) measures the person's temperature and provides the fever information. sends to the sensor control module (14).  Inside the sensor measuring device (2), the modules and the general electronics of the measuring device There is a motherboard (4) that controls it. 35 14  Inside the sensor measuring device (2), the modules and the general power of the measuring device There is a battery module (5) that meets the needs. Mobile application (3): The mobile application used in the invention (3) enables the elements in the system to communicate with each other, 5 It aims to manage the system and provide information to the users who will use it. Mobile Important details regarding the application (3) are as follows;  Mobile application (3) only available on mobile phones with Android and IOS operating systems It is used.  The mobile application (3) works with the internet (Wifi, Mobile Data etc.). 10  The necessary permissions must be granted by the user before the mobile application (3) can be used. It is necessary.  Before using the mobile application (3), the mobile device's bluetooth, location and internet Access must be enabled.  The application for images and videos taken by the camera (1) is for mobile devices 15 It uses its memory. The user will be given from the mobile application (3). Deletion is done according to a schedule. For example, photos and videos are deleted after 3 months. There is a setting area such as delete, etc. If an upper time is not given and the visual and If the videos take up too much space on your mobile device, the app will automatically pane them from end to beginning. Correct deletion will be performed. 20  Switching between the main screens (AE) (3) in the mobile application is done using the corresponding screen button. (Welcome screen (WSP) button, Add device screen (AES) button, AI screen) The (YZE) button is accessed by clicking the settings screen (AYE button).  The mobile application (3) also works when it is put in the background. For this, the relevant authorization must be obtained. It must also be given. 25  Mobile application (3) requires at least one sensor measuring device (2) and at least one camera to work. (1) starts after it is added. At the same time, the placement of these devices It is necessary to ensure that the sensor measuring device (2) is followed by the person it must be attached to the body and the camera (1) must be able to see the person being followed from a suitable angle (3) 30 will send a warning notification to the user. (For example, from a sensor measuring device (2)) (No signal is received or the camera (1) is not properly positioned.) If the devices have at least one If the device has been introduced to the application once and the device is inaccessible (if the device is turned off or Bluetooth is not working) (If it doesn't have access to connections like Wi-Fi) a warning such as "Measuring device is inaccessible" will appear. is given. 35  Use of modes such as power saving to make the mobile application (3) work more stably. It is not recommended. The mobile application has (3) 1 auxiliary and 4 main screens (AE). Auxiliary screen authorization It is the main screen (YE). Main screens (AE), welcome screen (KE), add device screen (CEE), artificial 5 The intelligence screen (AISE) is the settings screen (SETS). The screens, areas and (3) in the mobile application The details regarding these are as follows: After opening the mobile application (3), the first screen the user will encounter is the authorization screen (AS). When the mobile application (3) is first opened, the following permissions are required for the use of the mobile application (3): 10 It is requested. Without granting all these permissions, the mobile application (3) cannot be used with all its features:  Bluetooth connection authorization: This authorization allows the camera (1) and sensor measuring device in the system to connect. (2) enables connection to the mobile application (3). The sensor measuring device (2) data This authorization is important because it will send via Bluetooth. (The camera has both wifi and (1) (Both can be used since they have Bluetooth connectivity.) 15  Location link authorization: This authorization allows the mobile application (3) to access the location of the mobile device. This authorization is required for accessing the services. For situations requiring location services, this authorization is necessary. It must have been given.  Mobile application (3) notification authority: Mobile application (3) notifies the user This authorization is required in order to send it. 20  Background running permission for mobile application (3): This permission is granted when mobile application (3) is closed It is necessary to allow it to continue working even if it is minimized to the background. After these permissions are granted, click the continue (D) button. You can also click continue (D) without granting permissions. The button can be clicked. This button redirects to the next screen. When the button is clicked, 25 The authorization screen (AU) redirects to the welcome screen (WSP). However, it may not be granted or may be incomplete. Permissions are requested again from the user where necessary within the mobile application (3). Mobile After authorization is given to the application via the authorization screen (YE) (3), continue (D) is selected. The mobile application (3) is entered and the user is greeted by the welcome screen (WS). This The graphs are displayed on the screen. The data for these graphs are from a sensor measuring device (2) and artificial 30 The intelligence module (8) will transmit the graphs of the person being monitored, including pulse, temperature and It displays oxygen saturation values ​​graphically. Also, artificial intelligence... (Application AI, camera (1) AI) comments made by The data in the graphs can be displayed in charts (different chart types can be used). It can be displayed with filters as needed. For example, oxygen saturation value for the last 24 hours, last 35 hours... Like temperature readings at 6 hours. The graphs on this screen are for the mobile application (3) device 16 if not added or if no measurement has been taken by the sensor measuring device (2) before It is initially empty. All home screen (AE) buttons are visible. On the Device Addition (CEE) screen, devices to be connected to the system are added. On this screen, There is a + shaped button in the middle of the screen. When this button is clicked, the user 5 The device to be added is searched for via Bluetooth, and once found, the device information is retrieved. The completed screen opens. All main screen (AE) buttons are visible. Click the + button. When clicked, the screen that opens searches for devices that will connect to the system via Bluetooth. The screen is blank when first turned on. (No device will appear on the screen unless the Find Device (CA) button is used). There is a button on the screen labeled "Search for device (CA)". When this button is clicked, Bluetooth 10 is activated. Devices that can work with the system that has access to it will appear on the screen. In other words, other existing Bluetooth devices will also be displayed. Accessible devices do not appear on the screen. The mobile application (3) only works for devices that can connect to the system. It displays the devices on the screen, i.e., filters them. The back (G) button on the screen returns to the previous screen. This can be done. All home screen (AE) buttons are visible. Names such as Device Search (CA) are given. This is for informational purposes only. It is not visible on application screens. 15 via Bluetooth search. When a device appears on the screen, a Bluetooth search is performed to select any of the devices that have appeared on the screen. One is selected and added. For this addition process, the button labeled "Add Device (CE)" is displayed on the screen. It is located there. After a device is selected from the screen, this button is named Add Device (CE) and It performs the addition process. Also, to ensure the device is clearly identified when a device is selected, the device name is entered in the appropriate field. The color changes. So when no device is selected from the screen, the button name is still "Search Device (CA)". This will prevent the device from being added without being selected. On the screen You can return to the previous screen using the back (G) button. After adding a Bluetooth device... The application returns to the main device addition screen (CEE). At this stage, the new device To add it, the "+" button is visible on the screen and located at the bottom of the screen. The added devices are listed on the screen. In the area where each device is located, the device's name is displayed. Information such as device type and battery status is visible. Devices can be distinguished from each other. Coloring and images are used in the device fields to make them identifiable. Device names... The area where it is located is clickable. This means that when you click on the device name, you will see the device details and... The details screen where the settings are made will open. This will make it clear which devices are paired. The same coloring will be used. For the device details screen, the device you wish to view in detail will be 30. Clicking on it opens the device details screen. Here you can find details about the device. These;  Device type field indicating the type of device (sensor measuring device (2), camera (1)) It is located here. The information in this area cannot be changed. After the device connection is made... It is automatically assigned by the application. 35  There is a Device Name field where the name of the device is specified. This field is editable. To do this, click the edit button located on the far right of the field and enter the desired name. 17 It is not a mandatory field. If no name is given, the application will use a random name. He is making the appointment.  The device has a Charging Status area that shows the charging status. The information in this area... It cannot be changed. Information about this is provided to the mobile application (3) by the connected device. It is sent automatically. Only information is displayed in the mobile application (3). 5  The Paired Devices field shows the device the connected device is paired with. On the far right of this area is a "Select" button. When you click on it... A list of devices connected to the application will appear. From this list, you can select the device you want to connect. The structure here is as follows: Different types of devices can be connected to each other. The same type... Devices cannot be connected to each other. For example, sensor measuring devices (2) to cameras (1) 10 The cameras (1) can be connected to the measuring device (2). The two devices can be connected to each other. When connected, this information is automatically transferred to the other device's paired device area as well. For example... After the camera (1) is connected to the sensor measuring device (2), the relevant camera (1) Upon closer inspection, it is seen that the sensor-equipped measuring device is also located in the paired device area there. (2) information is written. It comes in the list here accordingly. For example, to the sensor measuring device (2) 15 When you click on this list to connect, only cameras connected to the application will be displayed. (1) appears. If the connection between the devices is to be broken, the list of devices that opens will appear. The "Select" option is chosen. Once this is selected, both devices are paired. The space is wasted. Changes are made directly after selection from this list. It is saved; there is no need for a save button. This field is mandatory. Selection 20 If this is not done, the devices do not work and the application gives a warning. ("Devices") (For example, "not matched")  The "Device Tracking Person Information" field is where information about the person being tracked is entered. It is available. Here, the person's full name, date of birth, blood type, medical status, and Allergies (if any), height and weight, medications (if any), and phone number of a close relative. It contains information. On the far right of this area is an edit button. Click this button. You can change the information by clicking here. The information entered here is extremely important. because the measuring device and camera (1) work and evaluate the information here It is based on. For example, let's say the information entered here belongs to a baby. Measurements taken for the baby... While a temperature of 37.8°C can be dangerous, the normal range for an adult is 30°C. It is within this range. Therefore, it is important to enter the information here correctly. This way... The measuring device and camera (1) will be able to make a more accurate assessment. Also Fields that do not contain the phrase "(if any)" are required fields. This information The devices will not work without this information. Or, if any changes are made to the entered information... If any information is left blank, the save (K) button will not work and the saving process will be delayed. This will not be possible. The mobile application (3) will display a warning such as "Please fill in the required fields". It provides. 18 After making changes to the information, save the information using the save (K) button at the bottom of the screen. Changes are saved. Changes made without clicking the Save (K) button are not saved. On the screen You can return to the previous screen using the back (G) button. The AI ​​screen (AI) in the mobile application (3) consists of three layers. One of them is the background 5 It is an artificial intelligence model working on the plan and is called Gen-A. Gen-A transfer It is pre-trained with data from the sensor measuring device (2) and the camera (1). It makes decisions by processing the data. As a result, from the sensor measuring device (2) It acts as a bridge and sends commands from the camera (1) to the sensor measuring device (2) For example, when the sensor measuring device (2) measures a high temperature value, it sends 10 reporting this to the application, the application sends the camera to (1) person for detailed data evaluation. It sends a command to capture images and videos. The other two layers are as follows: - Images and videos captured and processed by artificial intelligence can be examined. The videos have clickable areas. - AI messaging system trained solely on health data and capable of answering health-related questions. 15 The screen displays a prompt message area, a send button, and artificial intelligence. There is an area where its return can be seen. When you click on the images area in the AI ​​screen, the screen that opens is generated by AI. The captured and processed images are displayed. Filtering can be done as needed, and 20 The desired image can also be shared externally. The back (G) button on the screen can be used to go back to the previous page. You can return to the screen. When you click on the videos section on the AI ​​screen, it opens. Images captured and processed by artificial intelligence are displayed on the screen. Optionally... Filtering is possible, and the desired image can be shared externally. Videos that have been recorded... To save memory, it will be short. You can go back to the previous 25 using the back (G) button on the screen. It is possible to return to the screen. The settings screen (SSP) is used to adjust the settings for the mobile application (3) and the screens within it. This is the screen where the process is carried out. This screen contains the following menus: - Profile management (PM) menu: This menu contains information about the person who will use the mobile application (3). This is the menu where information is entered. User information includes name, surname, date of birth, email, phone number, and address. It is located. - Notification management (BY) menu: This menu shows in which situations and what the mobile application (3) displays This menu determines how notifications will be sent. Additional notification settings are available on the mobile device. It can also be done on it. 35 - Application management (AMM) menu: This menu contains general information about the mobile application (3). Adjustments will be made. 19 - Contact us and support (BU) menu: This menu is for issues experienced on the mobile application (3) Requests are made for problems or additional details regarding the use of the mobile application (3). On the Settings screen (AYE), in the profile management (PY) screen, the mobile application (3) Information belonging to the user is displayed. This screen shows the user's name, surname, and date of birth. It contains date, email, phone, and address information. The Edit button on the screen allows you to modify the information. There is a button. When this button is clicked, information can be entered into the fields. This is how it is. Otherwise, they are in the closed state. After the information is edited at the bottom of the screen... There is a save (K) button that allows the information to be saved. On the Settings screen (AYE) located on the notification management (BY) screen, the mobile application (3) Notifications will be managed for the areas. Optional features include audible notification (AU) and vibration notification (VTI). There are SMS notification (SMSB) and email notification (MB) options. The relevant sections of the screen are shown below. Notification is allowed by selecting this option. Here, notification management (BY) refers to mobile device notification management. It will work with (BY). On the application management (UY) screen, the mobile application (3) in general, 15 to the users in the system, to the elements in the system (camera (1), measuring device) and in the system Adjustments can be made regarding artificial intelligence. Contact us and support (BU)) screen. Reporting problems that may occur in the mobile application (3) or support This is for the purpose of formulating demands. Gen-A Algorithm: The details of the Gen-A algorithm used in the system are as follows:  Data is collected at the input layer (IP) and transmitted to the artificial intelligence.  In the processing layer (PL), the data transmitted by the input layer (IP) is processed.  Data processed by the processing layer (PL) in the interpretation layer (RL) and transfer 25 Comments are made regarding the situation.  In the result layer (RL), the referral is made based on the comments transmitted by the comment layer (RL). A conclusion is generated regarding the situation.  In the command layer (CL), according to the result produced by the result layer (RL). To send commands to the elements in the system (camera (1), measuring device), the application requires 30 It provides information. Advantages of an AI-powered money transfer detection system:  Because the system will operate on a shared network, it can track individuals even if they are not physically present. Information about it can be obtained. (The application must have internet access enabled. Camera 35) (1) and the sensor measuring device (2) should be placed where the person is.)  Thanks to the AI-assisted camera (1) in the system, personal images are analyzed in detail. This feature of the camera (1) can be used to provide more accurate information. It is derived from the Gen-A algorithm.  In addition to the images of the person taken by the camera (1), evidence or expert persons Videos will also be filmed so that it can be commented on. 5  The system can be used with multiple devices. Multiple devices can be added to the application. This This allows different people to be monitored simultaneously. The AI-powered seizure detection system measures a person's pulse, temperature, and oxygen levels. Sensor measuring device (2), AI-powered camera that captures the image and video of the person 10 (1), artificial control of the overall operation of the system and elements (camera (1), measuring device). The intelligence-supported mobile application (3) performs all functions. General flow of the system The diagram and the flowcharts of the elements (measuring device, camera (1)) are given separately. Details of the Gen-A algorithm found in the artificial intelligence module (8) element flow This is given in the diagrams. 15 The general flowchart for the AI-powered money transfer detection method is as follows:  The sensor measuring device (2) is switched on and the bluetooth connection is turned on.  The camera (1) is switched on and the bluetooth connection is turned on.  Device connections are made from the (3) device adding (CE) section in the mobile application and 20 The devices are paired with each other.  The sensor measuring device (2) is attached to the person's body.  The camera (1) is positioned in the environment so that it can see the entire body of the person.  After the connection and pairing are made, the measuring device first measures temperature, pulse, and He starts taking oxygen measurements. 25  If there is an abnormality in the values ​​measured by the measuring device:  The measured values ​​are transmitted mobile thanks to the connection module (10) on the measuring device. is sent to the application (3).  The measurement values ​​are processed by the artificial intelligence in the mobile application (3).  If there is no suspicion of a transfer as a result of the mobile application (3) evaluation, the measuring device 30 It continues taking measurements.  If there is suspicion of money transfer as a result of mobile application (3) evaluation:  The application commands the camera to capture the image and video of (1) person. sends.  The camera (1) takes video and images of the person and sends them to the AI ​​module (8) 35 It sends the data. 21  The data is processed by the AI ​​module (8) in the camera (1) and the result It is produced.  If there is suspicion of a transfer as a result of the camera (1) evaluation:  Detailed evaluation and repetition by the measuring device A command is sent to the mobile application (3) to confirm the measurements to be taken. 5  The measuring device continues to take measurements.  If there is no suspicion of a transfer as a result of the camera (1) evaluation:  To report that the camera (1) has stopped taking pictures until the next command It sends commands to the application. The flow diagram of the sensor measuring device (2) in the system is as follows:  The sensor measuring device (2) is switched on and the bluetooth connection is turned on.  Device connections are made from the device adding (CE) section (3) in the mobile application and The devices are paired with each other.  The sensor measuring device (2) is attached to the person's body. 15  After the connection and pairing are made, the measuring device first measures temperature, pulse, and He starts taking oxygen measurements.  If there is an abnormality in the values ​​measured by the measuring device:  The measured values ​​are transmitted mobile thanks to the connection module (10) on the measuring device. It is sent to the application (3). 20  The measurement values ​​are located in the Gen-A AI module (8) in the mobile application (3). It is sent to the input layer (IP) in the algorithm.  Data transmitted to the AI ​​module is collected by the input layer (IP) and The data is transmitted to the processing layer (RP).  Data transmitted from the input layer (IP) to the processing layer (PL) is processed. 25 and is processed.  The processed data is directed to the interpretation layer (OL).  In the interpretation layer (EL), the processed data is used to generate an interpretation regarding the transfer status.  The generated comments are sent to the results layer (RL).  The result layer (RL) is reached through comments transmitted by the comment layer (RL). 30 A result is generated regarding the transfer status.  In the interpretation layer (EL), the processed data is used to generate an interpretation regarding the transfer status.  The generated result is directed to the command layer (CL).  The results are sent to the mobile application (3) via the command layer (CL). 22  If the mobile application (3) evaluation processes are not finished, the mobile application (3) and Camera (1) processes continue, mobile application (3) evaluation processes Once that's finished, the process of measuring temperature, pulse, and oxygen levels is resumed. The flowchart for the camera (1) in the system is as follows. 5  The camera (1) is switched on and the bluetooth connection is turned on.  Device connections are made from the device adding (CE) section (3) in the mobile application and The devices are paired with each other.  The camera (1) is positioned in the environment so that it can see the entire body of the person.  After the connection and pairing are made, the camera (1) commands from the mobile application (3) 10 waits.  If a command to view is received by the mobile application (3):  The image and videos of the person are captured by the imaging module (6) located in the camera (1). It is withdrawn.  Images taken with the imaging module (6) are sent to the image processing module (7) 15 It is transmitted.  Images transmitted to the image processing module (7) are processed and the processed data are artificial is sent to the intelligence module (8).  The processed images are fed into the CNN algorithm in the artificial intelligence module (8). It is given and processed. 20  Data processed by the CNN algorithm is located in the artificial intelligence module (8) It is sent to the input layer (IP) in the Gen-A algorithm.  Data transmitted to artificial intelligence is collected by the input layer (IP) and the data It is passed to the processing layer (RP).  Data transmitted from the input layer (IP) to the processing layer (PL) undergoes processing. 25 It is held and processed.  The processed data is directed to the interpretation layer (OL).  In the interpretation layer (EL), the processed data is used to generate an interpretation regarding the transfer status.  The generated result is directed to the command layer (CL).  The results are sent to the mobile application (3) via the command layer (CL). 30  If the mobile application (3) evaluation processes are not finished, mobile application (3) and camera (1) processes continue, if finished camera (1) from mobile application (3) Return to the command waiting stage. 35

Claims

23 REQUESTS 1. AI-powered devices, used in homes or healthcare facilities, especially those for ages 5 and up. It automatically detects whether all individuals, including children, are having seizures. It is an AI-powered money transfer detection system, and its feature is;  to transmit the person's oxygen saturation to the sensor control module (14) measuring oxygen saturation sensor (11),  pulse measurement 10 which measures the person's pulse to transmit it to the sensor control module (14) sensor (12),  Fever measurement that measures the person's temperature to transmit it to the sensor control module (14) sensor (13),  The measurement values ​​transmitted by the sensor control module (14) are transmitted to the mobile sending to the application (3) devices within the system mobile application (3) 15 introduction of the devices, communication between the devices and the mobile application (3) connection module (10) that enables sending commands  The temperature measurement sensor (13) on the sensor measuring device (2), pulse measurement control of sensor (12) and oxygen saturation measurement sensors (11) providing, sending commands to the mentioned sensors to take measurements, 20 taking measurements made by sensors and transmitting them to the connection module (10) mentioned sensor control module (14),  sensor measuring device (2) and camera (1) modules, sensors and general electronics on the device (2) and camera (1) motherboard (4) which enables the control to be carried out, 25  sensor measuring device (2) and camera (1) to operate the modules, sensors on the device (2) and camera (1) and Battery module (5) which ensures the fulfillment of the general power requirement.  through the software running inside the image processing module (7) 30 It has at least two lenses for capturing images and shooting video. the display module (6),  by the display module (6) via the software running inside receives the transmitted images and converts them into a format that the artificial intelligence module (8) can understand. The aforementioned image processing module (7), which is working to translate, 35 24  having wireless internet access, by the image processing module (7) Analyzing processed data and captured images / videos, transferring funds. an artificial intelligence model / algorithm trained with images and images the aforementioned Algorithms can induce loss of consciousness, jaw clenching, and involuntary movements in individuals. 5 If it detects, the connection module will transfer (10) people those who detect seizures related to what they may have / have had and those who detect seizures AI module that sends command / information (8),  AI-powered, capable of using Bluetooth and / or Wi-Fi connectivity, a device positioned to display the entire body, with an opening-10 on it. It can be turned on and off with the power button, and it can be controlled via the Bluetooth button on top. mobile application (3) that can connect with devices via Bluetooth paired, display module (6) when command comes from mobile application (3) with images and videos of the person and showing signs of loss of consciousness, jaw clenching, The aforementioned 15 enable the analysis of situations such as unconscious movements. camera (1),  A sensor-controlled device attached to the body of the person being monitored module (14), connection module (10), battery module (5), pulse measurement sensor (12), fever measurement sensor (13) and oxygen saturation measurement sensor (11) located, which can be turned on and off with the on / off switch on it, with 20 It can connect to other devices via Bluetooth using the Bluetooth button. paired with mobile application (3), measurement results to mobile application (3) pulse measurement sensor (12), temperature measurement at regular intervals to send The person's temperature, pulse is measured with the sensor (13) and oxygen saturation measurement sensor (11). and the aforementioned sensor measuring device (2) which measures oxygen saturation, 25  Internet-operated connection module (10) that runs on a mobile device By connecting with the camera (1) and the sensor measuring device (2), According to the period entered via the camera (1) and the mobile device It has a feature that allows recorded images / videos to be deleted. From the authorization screen (AU), Bluetooth connection, location connection, notifications, and backlighting are available. plan work authorizations can be given, on which there is a sensor measuring device (2) and artificial The pulse, temperature and temperature of the person are received and monitored by the intelligence module (8). Graphical representation of oxygen saturation values ​​and artificial intelligence algorithms. Remittance detection analyses conducted by,  on; 35 - Welcome screen (WS) that enables filtering of data in graphs, - the ability to add devices that will connect to the system, the added devices device type, device name, device charging status, whether the device is paired unmatched name, surname, and birth date of the person the device is tracking History, blood type, medical status, allergies, height, weight, medications used, access to details such as a relative's phone number and 5 the devices and information mentioned can be displayed in a list format Device Addition Screen (CEE), - The ability to review and request the captured and processed images and videos. in this case, it is possible to filter the images mentioned and 10 that allows the aforementioned images to be shared across different devices Messaging that is trained with health data and answers health questions. It has a prompt area, a message field, a send button, and with artificial intelligence transformation and artificial intelligence module (8) integrated artificial intelligence display (AI display), - Settings for the mobile application (3) and its screens 15 made, information of the person who will use the mobile application (3) is entered, In which situations and in what way does the mobile application notify (3) the mobile application (3) in general, which is determined to be given adjustments can be made on the mobile application (3) For problems or additional details regarding the use of the mobile application (3), request 20 customizable settings screen (AYE)  that the sensor measuring device (2) found was not attached to the body of the person being monitored and the camera (1) is not positioned to see the person being followed from a suitable angle In this case, the aforementioned mobile application (3) gives notification / warning. It includes. 25 2. It is an AI-powered money transfer detection system compliant with Claim 1, and its feature is that it has a suction cup. and on either side of the sensor measuring device (2), the sensor measuring device (2) A flexible device that allows it to be attached / attached to the body of the person being tracked. It contains bands (9). 30 3. It is an AI-powered money transfer detection system in accordance with Claim 1, and its feature is that the camera (1) to ensure that it is positioned at an angle that allows it to fully see the person being tracked It includes a wall mount that allows it to be attached to a wall or the desired area. 35 26 4. AI-powered devices, used in homes or healthcare facilities, especially It automatically detects whether all individuals, including children, are having seizures. It is an AI-powered money transfer detection method, and its feature is;  Switching on the sensor measuring device (2) and turning on the bluetooth connection bringing, 5  Turn on the camera (1) and turn on the bluetooth connection,  Device connections from the Add device (CE) section (3) in the mobile application and pairing the devices,  The sensor measuring device (2) is placed on the body of the person to be diagnosed with seizures. installation, 10  The camera should be positioned so that it can see the entire body of the person (1),  After the connections and pairings are made, the temperature of the sensor measuring device (2) is measured. to start pulse and oxygen measurements,  If there is an abnormality in the values ​​measured by the sensor measuring device (2) The connection module (10) of the sensor measuring device (2) of the measured values ​​15 sending via mobile application (3),  Measurement values ​​are processed by the artificial intelligence module (8) in the mobile application (3). being processed,  If there is no suspicion of a transfer as a result of the mobile application (3) evaluation, sensor-equipped The measuring device must continue to take measurements, 20  If there is suspicion of a transfer as a result of the mobile application (3) evaluation, mobile The application commands (3) to take the image and video of (1) person to the camera. sending,  The camera (1) takes video and images of the person and sends them to the AI ​​module (8) sending image data, 25  The data is processed by the AI ​​module (8) in the camera (1). holding and producing results,  If there is a suspicion of a transfer as a result of the camera's (1) assessment detailing of the evaluation and by the sensor measuring device (2) To confirm with repeated measurements, the mobile application will be given the command (3) 30 sending,  The sensor-based measuring device must continue taking measurements,  If there is no suspicion of a transfer as a result of the camera's (1) assessment, the camera (1) mobile to report that it has stopped receiving images until the next command Sending commands to the application (3) 35 It includes the steps of the process. 27 5. This is an AI-powered money transfer detection method compliant with Claim 4, and its feature is that it is mobile. The application commands (3) to take the image and video of (1) person to the camera. in case of sending:  Through the imaging module (6) located in the camera (1), the image and 5 of the person filming videos  Images taken with the imaging module (6) are transferred to the image processing module (7) transmission,  Processing of images transmitted to the image processing module (7) and processed data sending to the artificial intelligence module (8), 10  The processed images are fed into the CNN algorithm in the artificial intelligence module (8) issuance and processing,  Data processed by the CNN algorithm in the artificial intelligence module (8) The information found is sent to the input layer (IP) in the Gen-A algorithm,  Collection of transmitted data by the input layer (IP) and processing of the data 15 transmitted to the HR layer,  Processing of data transmitted from the input layer (IP) to the processing layer (PL),  Directing the processed data to the interpretation layer (OL),  Comments regarding the transfer status are processed using data in the comment layer (ML). production, 20  The generated comment is routed to the command layer (CL).  Sending the results to the mobile application (3) via the command layer (CL),  If the mobile application (3) evaluation processes are not finished, the mobile application (3) and the camera (1) continues the processes, if the process is finished the camera (1) mobile Returning to the (3) command waiting phase from the application 25 It includes the steps of the process.

6. This is an AI-powered money transfer detection method compliant with claim 4, and its feature is that it is sensor-based. If there is an anomaly in the values ​​measured by the measuring device (2) and the measured values 30 via connection module (10) in the sensor measuring device (2) to the mobile application (3) If sent:  Measurement values ​​in the AI ​​module (8) of the mobile application (3) The information found is sent to the input layer (IP) in the Gen-A algorithm,  Data transmitted to the artificial intelligence module (8) by the input layer (IP) collection and transmission of data to the data processing layer (HR), 35  Processing of data transmitted from the input layer (IP) to the processing layer (PL), 28  Directing the processed data to the interpretation layer (OL),  Comments regarding the transfer status are processed using data in the comment layer (ML). production,  Transmitting the generated comments to the results layer (RL),  Through comments transmitted by the comment layer (DL), the result layer 5 (SK) producing results regarding the transfer status,  The generated result is routed to the command layer (CL).  Sending the results to the mobile application (3) via the command layer (CL),  If the mobile application (3) evaluation processes are not finished, mobile application (3) and the continuation of the processes in the camera (1), mobile application (3) 10 Once the assessment processes are complete, proceed with temperature, pulse, and oxygen measurement. return It includes the steps of the process.

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