A bank safe deposit box security system with biometric authentication and sensor monitoring

Abstract

A bank safe deposit box security system consisting of: an image capture device configured to capture facial images and fingerprint data for authentication purposes; a control unit consisting of a CPU and a GPU and configured for fast real-time processing and handling of high-resolution facial and fingerprint biometric data; a storage module in conjunction with the image capture device and the control unit, configured to securely store user information and biometric data records; a wireless communications module configured to facilitate secure data transmission and real-time system control; a monitoring system comprising a plurality of sensors in conjunction with the control unit, configured to perform real-time user tracking and enable access control; and an alerting system connected to a monitoring system that is configured to trigger alerts in response to unauthorized or malicious activity.

Description

FIELD OF THE INVENTION

[0001] The present disclosure relates to a bank safe deposit box security system with biometric authentication and sensor monitoring. More specifically, the present invention relates to a bank safe deposit box security system designed to address the weaknesses of conventional access control techniques by integrating facial recognition, fingerprint scanning, and AI-driven monitoring, ensuring secure access and proactive monitoring of bank safe deposit boxes. BACKGROUND OF THE INVENTION

[0002] Bank safe deposit box security systems have evolved significantly to meet the growing demand for secure protection of valuable items such as jewelry, cash, and important documents. Traditional approaches such as keys and passwords are increasingly considered inadequate due to risks such as theft and unauthorized access. Modern technology has led to the development of more advanced systems using RFID and GSM technologies that provide secure access control and real-time communication. These innovations ensure that only verified users with the correct credentials can access safe deposit boxes, reducing the risk of unauthorized access and increasing security.

[0003] Biometric authentication, especially fingerprint recognition, has become a highly reliable method for confirming the identity of individuals accessing bank safe deposit boxes. Research is focused on improving the accuracy and efficiency of fingerprint sensors to make the authentication process smoother and faster. In addition, advanced biometric methods such as facial recognition and iris scanning have been proposed to further enhance security. These techniques uniquely identify individuals based on their facial features or iris patterns, thus providing additional layers of protection against unauthorized access.

[0004] The integration of Internet of Things (IoT) frameworks has also played a crucial role in improving connectivity and monitoring capabilities in bank locker security systems. IoT-enabled solutions can send real-time alerts and notifications to authorized personnel, enabling rapid response to security breaches and promoting proactive measures. Furthermore, ongoing research is exploring the use of AI algorithms for anomaly detection and machine learning to continuously improve security protocols.

[0005] Overall, advances in bank safe deposit box security systems demonstrate a proactive response to evolving security challenges. These innovations aim to overcome the limitations of traditional methods while providing comprehensive, efficient, and reliable security solutions for residential, commercial, and banking environments. SUMMARY OF THE INVENTION

[0006] The present disclosure relates to a bank locker security system with biometric authentication and sensor monitoring. The proposed system is designed to provide enhanced protection by integrating advanced biometric authentication and a unique path-based access protocol. The proposed system is equipped with user authentication features that utilize fingerprint and facial recognition to access the bank locker. The system assigns the authenticated user a predefined sensor-guided path that the user must follow, otherwise an alarm is triggered. The invention combines multi-factor biometric authentication with dynamic path tracking to ensure highly secure, efficient, and intelligent locker access, minimize the risks associated with unauthorized access, and improve overall operational security.

[0007] The present disclosure aims to provide a bank safe deposit box security system. The system includes: an image capture device configured to capture facial images and fingerprint data for authentication purposes; a control unit including a CPU and a GPU and configured to capture and process high-resolution facial and fingerprint biometric data in real time at high speed; a storage module in communication with the image capture device and the control unit, configured to securely store user information and biometric records; a wireless communication module configured to enable secure data transmission and real-time system control; a multi-sensor monitoring system in communication with the control unit, configured to enable real-time user tracking and access control.and an alerting system connected to the monitoring system and configured to trigger alerts in response to unauthorized or malicious activity.;

[0008] One objective of the present disclosure is to provide a bank safe deposit box security system with biometric authentication and sensor monitoring.

[0009] Another objective of this disclosure is to improve security in bank safe deposit box systems by integrating advanced biometric authentication.

[0010] Another objective of this disclosure is the integration of real-time monitoring technologies for surveillance purposes.

[0011] Another objective of this disclosure is to prevent unauthorized access, protect stored valuables, and provide proactive monitoring to improve customer confidence and operational efficiency.

[0012] To further clarify the advantages and features of the present disclosure, a more detailed description of the invention will be given with reference to specific embodiments thereof illustrated in the accompanying drawings. It should be noted that these drawings represent only typical embodiments of the invention and are therefore not to be considered limiting its scope. The invention will be described and explained in additional detail and in greater detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE CHARACTERS

[0013] These and other features, aspects, and advantages of the present disclosure will be better understood when the following detailed description is read with reference to the accompanying drawings, in which like characters represent like parts throughout. Fig. 1 shows a block diagram of a bank safe deposit box security system with biometric authentication and sensor monitoring according to an embodiment of the present disclosure. Fig. 2 shows a diagram of the proposed bank safe deposit box security system according to an embodiment of the present disclosure; Fig. 3 shows a controller system diagram according to an embodiment of the present disclosure; Fig. 4 is a diagram showing the layout of the changing room layout according to an embodiment of the present disclosure; and Fig. 5A and Fig. 5B illustrate diagrams of user authentication and user tracking and monitoring frameworks according to an embodiment of the present disclosure.

[0014] Furthermore, those skilled in the art will appreciate that elements in the drawings are shown for convenience and may not necessarily be drawn to scale. For example, the flowcharts illustrate the method by key steps to enhance understanding of aspects of the present disclosure. Furthermore, with respect to device construction, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only the specific details relevant to understanding embodiments of the present disclosure in order not to clutter the drawings with details that would be readily apparent to those skilled in the art who would benefit from the description herein. DETAILED DESCRIPTION:

[0015] To promote an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings and described in specific language. It is to be understood, however, that no limitation upon the scope of the invention is intended thereby, since such changes and further modifications of the illustrated system, and such further applications of the principles of the invention as illustrated therein, are contemplated as would normally occur to one skilled in the art to which the invention pertains.

[0016] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be limiting thereof.

[0017] References in this specification to "one aspect," "another aspect," or similar language mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Therefore, the occurrences of the phrase "in one embodiment," "in another embodiment," and similar language throughout this specification may or may not all refer to the same embodiment.

[0018] The terms "comprises," "comprising," or other variations thereof are intended to cover non-exclusive inclusion, such that a process or method comprising a list of steps not only includes those steps, but may also include other steps not expressly listed or inherent in such process or method. Likewise, one or more devices or subsystems or elements or structures or components preceded by "comprises...a" does not preclude, without further limitation, the existence of other devices or other subsystems or other elements or other structures or other components or additional devices or additional subsystems or additional elements or additional structures or additional components.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The system, methods, and examples provided herein are for illustrative purposes only and should not be considered limiting.

[0020] Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0021] The functional units described in this specification have been referred to as devices. A device may be implemented in programmable hardware devices such as processors, digital signal processors, central processing units, field-programmable gate arrays, programmable array logic, programmable logic devices, cloud processing systems, or the like. The devices may also be implemented in software for execution by various types of processors. An identified device may contain executable code and may, for example, comprise one or more physical or logical blocks of computer instructions, which may be organized, for example, as an object, procedure, function, or other construct.However, the executable file of an identified device need not be physically located together, but may comprise different instructions stored in different locations which, when logically linked together, constitute the device and fulfill the stated purpose of the device.

[0022] Indeed, executable code of a device or module may be a single instruction or multiple instructions, and may even be distributed across several different code segments, among different applications, and across multiple storage devices. Similarly, operational data may be identified and represented herein within the device and embodied in any suitable form and organized in any suitable type of data structure. The operational data may be captured as a single set of data or distributed across different locations, including different storage devices, and may exist, at least in part, as electronic signals in a system or network.

[0023] References in this specification to "a selected embodiment," "an embodiment," or "an embodiment" mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the disclosed subject matter. Therefore, the appearances of the phrases "a selected embodiment," "in an embodiment," or "in an embodiment" in various places in this specification do not necessarily refer to the same embodiment.

[0024] Furthermore, the described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, numerous specific details are provided to provide a thorough understanding of embodiments of the disclosed subject matter. However, one of ordinary skill in the art will recognize that the disclosed subject matter may be practiced without one or more of the specific details, or with different methods, components, materials, etc. In other instances, well-known structures, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosed subject matter.

[0025] According to the example embodiments, the disclosed computer programs or modules may be executed in many example ways, for example, as an application stored in the memory of a device or as a hosted application executing on a server and communicating with the device application or browser via a variety of standard protocols such as TCP / IP, HTTP, XML, SOAP, REST, JSON, and other suitable protocols. The disclosed computer programs may be written in example programming languages ​​that execute from memory on the device or from a hosted server, for example, BASIC, COBOL, C, C++, Java, Pascal, or scripting languages ​​such as JavaScript, Python, Ruby, PHP, Perl, or other suitable programming languages.

[0026] Some of the disclosed embodiments comprise or otherwise involve data transmission over a network, such as communicating various inputs or files over the network. The network may comprise, for example, one or more of the following: the Internet, wide area networks (WANs), local area networks (LANs), analog or digital wired and wireless telephone networks (e.g., a PSTN, Integrated Services Digital Network (ISDN), a cellular network, and Digital Subscriber Line (xDSL)), radio, television, cable, satellite, and / or any other delivery or tunneling mechanism for transmitting data. The network may comprise multiple networks or subnetworks, each of which may comprise, for example, a wired or wireless data path. The network may comprise a circuit-switched voice network, a packet-switched data network, or any other network capable of transmitting electronic communications.For example, the network may include networks based on Internet Protocol (IP) or Asynchronous Transfer Mode (ATM), and may support voice using, for example, VoIP, Voice over ATM, or other comparable protocols used for voice data communications. In one implementation, the network includes a cellular network configured for the exchange of text or SMS messages.

[0027] Examples of the network include, but are not limited to, a Personal Area Network (PAN), a Storage Area Network (SAN), a Home Area Network (HAN), a Campus Area Network (CAN), a Local Area Network (LAN), a Wide Area Network (WAN), a Metropolitan Area Network (MAN), a Virtual Private Network (VPN), an Enterprise Private Network (EPN), the Internet, a Global Area Network (GAN), and so on.

[0028] With reference to Fig. 1, the bank safe deposit box security system (100) with biometric authentication and sensor monitoring comprises: an image capture device (102) configured to capture facial images and fingerprint data for authentication purposes; a control unit (104) comprising a CPU (104a) and a GPU (104b) and configured to perform high-speed, real-time processing and handling of high-resolution biometric facial and fingerprint data; a memory module (106) in communication with the image capture device (102) and the control unit (104), configured to securely store the user information and biometric data records; a wireless communication module (108) configured to enable secure data transmission and real-time system control;a monitoring system (110) having a plurality of sensors (110a) in communication with the control unit (104), configured to perform real-time user tracking and enable access control; and an alert system (112) connected to the monitoring system (110) and configured to trigger alerts in response to unauthorized or malicious activity.

[0029] In one embodiment, the image capture device (102) collects and processes facial images and fingerprint data, wherein the image capture device (102) captures a facial image using a camera unit (102a) and fingerprint data using a contactless fingerprint scanner (102b) for user registration, wherein the image capture device (102) is further configured to transmit the captured facial and fingerprint data to a memory module (106).

[0030] In one embodiment, the control unit (104) retrieves the face and fingerprint data and performs preprocessing, extracting features from face images and fingerprint data and storing the extracted features in the storage module (106), wherein the features of the face images include the distance between the eyes, the shape of the nose, and the contour of the jaw, and the features of the fingerprint data include the unique ridge patterns and detail points of the fingerprint.

[0031] In one embodiment, the memory module (106) utilizes the LPDDR (RAM) (106a) and the external memory (106b), wherein the storage is secure and can protect the data from unauthorized access.

[0032] In one embodiment, the camera unit (102a) and the contactless fingerprint scanner (102b) capture the facial image and the fingerprint data, respectively, in real time for authentication, and the captured data is transmitted to the storage module (106), wherein the GPU (104b) of the control unit (104) performs real-time processing of the facial images and the CPU (104a) of the control unit (104) performs real-time processing of the fingerprint data.

[0033] In one embodiment, the control unit (104) is further configured to: calculate the shortest path from the entrance to the locker using CPU (104a) and GPU (104b), wherein this path is transmitted to a tracking and monitoring system (114) of the monitoring system (110); control an access control system (116) that controls a gate closing mechanism, wherein the CPU (104a) only signals that the entrance gate should be opened to allow access after successful authentication, and wherein a timer is activated to regulate access to the locker;Controlling the monitoring system (110), wherein the monitoring system (110) is configured to track the user's movements in the locker room and to trigger the warning system (112) in the event of malicious activity, and wherein the monitoring system (110) is further configured to provide an exit confirmation of the user, wherein the CPU (104a) allows the exit gate to be opened after the user's purpose in the locker room has been fulfilled; and controlling the alarm system (112), wherein the alarm system (112) is configured to execute a series of alarms, including an audible warning, a visual warning, and an evacuation alarm.

[0034] In one embodiment, the system (100) further comprises a visual display (118) in conjunction with a monitoring system (110) configured to show the user the correct route in the fitting room and to highlight the area of ​​deviation, generating a warning in case of a deviation from the suggested route.

[0035] In one embodiment, the time the user spends in the locker is recorded and stored in the memory module as a logbook for reference.

[0036] In one embodiment, the alarm system (112) is triggered upon a deviation from the designated path, wherein the alarm system (112) triggers warning alarms, sends a real-time notification to a control room or security personnel, temporarily restricts access to all lockers until the deviation is verified and resolved, and captures the intrusion data, including timestamps and sensor logs, for future reference.

[0037] The invention relates to bank safe deposit box security systems and focuses on enhanced protection through advanced biometric authentication and real-time monitoring technologies. The system addresses the weaknesses of traditional access control methods and integrates facial recognition, fingerprint scanning, and AI-assisted monitoring to ensure secure access and proactive monitoring of bank safe deposit box facilities.

[0038] With reference to Fig. 2, the system mainly comprises a Wi-Fi module (202), a power supply (204), a microcontroller (206), a local alarm system (208) and a cloud storage (210), wherein the microcontroller (206) controls a camera module (212) configured to facilitate user authentication by capturing fingerprints and facial images, which are further pre-processed using a pre-processing device.

[0039] As in Fig. As shown in Figure 3, the system is designed to enable dual-model biometric user authentication via camera, control user access, perform real-time user tracking, and monitor the locker room. The system uses fingerprint and facial recognition to authenticate users accessing bank lockers. Upon successful verification, the system assigns the user a predefined, sensor-guided path that leads them to their assigned locker. Any deviation from this assigned path triggers an alarm and temporarily locks all lockers, quickly containing potential security risks. The system also tracks the time it takes users to access their lockers, supporting security audits and anomaly detection.

[0040] In relation to Fig. 3, the invention enables seamless and secure registration for new users by integrating multimodal biometrics, including facial recognition and fingerprint scanning. Leveraging contactless technology, the system captures and stores users' unique biometric data without the need for physical interaction. This improves hygiene and convenience, especially in high-traffic environments such as locker rooms. Facial images are captured via a camera-based unit with built-in authentication features. Sophisticated facial recognition algorithms analyze these images to identify key features such as the distance between the eyes, the shape of the nose, and the contours of the jaw. Instead of storing raw images, the system stores extracted facial feature templates, prioritizing user privacy and data security.Additionally, a contactless fingerprint scanner connected via the I2C bus captures fingerprints by isolating unique ridge patterns and minutiae dots and eliminating background noise through advanced imaging techniques. These unique fingerprint characteristics are securely stored in the system's database (memory module), accessible via the AXI bus, ensuring reliable data integrity and security.

[0041] The system uses advanced mechanisms to efficiently process facial and fingerprint data. After the initial processing of biometric inputs, special CPU-assisted feature extraction algorithms are used to identify and extract the critical and significant features of the data and further store them in memory. This approach not only ensures increased security but also optimizes performance. The feature dataset is securely stored in the memory database and uses LPDDR (RAM) and external storage to protect confidential information from unauthorized access. Furthermore, the system leverages the combined capabilities of CPU and GPU resources to ensure fast and reliable processing of biometric data, incorporating redundancy and fault tolerance to maintain reliability.

[0042] In relation to Fig. 3 and Fig. 5A, the invention includes biometric authentication to ensure secure and seamless access to the locker room, the layout of which is shown in Fig. 4. Users are verified through a multimodal biometric system that combines facial recognition and tracking capabilities. A camera unit is used to capture the user's facial image, while sensors track movement for added security. This contactless verification mechanism provides an efficient and seamless access experience. Facial recognition works by capturing a live image of the user, which is analyzed using a GPU for fast computation. The system generates a similarity score by comparing the live image to a stored facial template and grants access only if the score exceeds a predetermined threshold. Furthermore, contactless fingerprint recognition enhances security by capturing an image of the fingerprint and analyzing its unique ridge patterns and minutiae points.These features are compared with stored fingerprint data, with the CPU ensuring a fast and accurate match. The invention uses dual-mode authentication, where both facial and fingerprint data must be compared with stored records before access is granted. Real-time analysis is performed via the GPU, ensuring rapid validation. To ensure user privacy and security, biometric data is encrypted and transmitted securely over the I2C bus.

[0043] With reference to Fig. 3 and Fig. 5B, the invention facilitates efficient navigation and monitoring in a locker room environment. Once a user is authenticated, the system calculates the shortest path from the entry point to the assigned locker. This path is determined by the CPU using data related to the room layout ( Fig. 4), and further optimized by the GPU for accuracy. The predefined path is then sent to the monitoring module, which ensures seamless integration with the tracking framework.

[0044] The system includes continuous monitoring to monitor user movements in real time. Sensors strategically placed throughout the fitting room track the user, and their activities are recorded in the system's memory for reference. When the user leaves the facility, the system confirms their exit and terminates the session to ensure proper use. Advanced tracking features ensure the user stays on the intended path. The sensors regularly update the user's location via an AXI bus network, allowing deviations to be detected quickly and accurately. The GPU processes these updates to maintain real-time efficiency, thus improving system responsiveness. If a user deviates from the assigned route, the system triggers a series of alerts to guide them back.An audible warning is issued via loudspeakers connected to the output interface, informing the user of their deviation. At the same time, a visual indicator connected via the 40-pin expansion connector highlights the correct route and indicates the branch point. Should the deviation persist, an evacuation alarm is triggered, notifying security personnel via external connections such as the UART bus. This escalation ensures that the facility remains safe and orderly while assisting the user in resuming their intended route.

[0045] In relation to Fig.5B, the system integrates advanced access control and monitoring features to ensure safe and efficient operation. Access to the designated area is facilitated by automatic gate mechanisms that rely on facial and fingerprint recognition for user authentication. Upon successful verification, the gate is unlocked and access is granted, with the I2C bus enabling seamless communication between the central processing unit and the gate's locking mechanism. Unauthorized access is effectively prevented by this authentication-controlled automation. A warning mechanism is integrated to ensure compliance with security standards. If a user deviates from the prescribed route, both audible and visual warnings are activated. In critical situations, security personnel are notified to intervene and take the necessary measures.Furthermore, continuous monitoring within the locker room is achieved through various sensors. These devices track user movements, detect unusual behavior, and ensure compliance with established policies. Through the use of GPIO connections, the system further reacts to unauthorized activity or extended periods of occupancy. The invention includes fully automated entry and exit management. Biometric authentication controls access in real time, with the I2C bus facilitating communication with the automatic gate closing system. At the exit, the system confirms that the user has completed their session and allows them to leave the building. In cases where authentication is not completed or the user exceeds the allotted time, security protocols are activated to prevent unauthorized exits and protect the integrity of the system.

[0046] This invention combines biometric multi-factor authentication with dynamic path tracking to provide a highly secure, efficient, and intelligent locker access system that minimizes the risks associated with unauthorized access and improves overall operational security.

[0047] The drawings and the foregoing description provide examples of embodiments. Those skilled in the art will recognize that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be separated into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, orders of the processes described herein may be changed and are not limited to the manner described herein. Furthermore, the actions of any flowchart need not be implemented in the order shown; nor do all actions necessarily need to be performed. Also, those actions that are not dependent on other actions may be performed in parallel with the other actions. The scope of the embodiments is in no way limited by these specific examples.Numerous variations, whether explicitly stated in the specification or not, such as differences in structure, dimensions, and use of materials, are possible. The scope of the embodiments is at least as broad as indicated in the following claims.

[0048] Advantages, other benefits, and solutions to problems have been described above with respect to specific embodiments. However, the advantages, benefits, solutions to problems, and any components that may cause an advantage or solution to occur or become more apparent are not to be construed as a critical, required, or essential feature or component of any or all of the claims. REFERENCES 100 The bank safe deposit box security system with biometric authentication and sensor monitoring includes. 102 Image capture device 102a Camera unit 102b contactless fingerprint scanner 104 Control unit 104a Central processor 104b graphics card 106 memory module 106a LPDDR (RAM) 106b external storage 108 wireless communication module 110 Surveillance System 110a Variety of sensors 112 warning system 114 Tracking and monitoring system 116 Access control system 118 visual display 202 WLAN module 204 power supply 206 microcontrollers 206a Device for contactless capture and preprocessing of fingerprints 206b Device for capturing and preprocessing facial images 208 Local Alarm System 210 cloud storage 212 Camera module 302 Power supply (5 V, 19 V) 304 Output (Speaker, Visual Display) 306 series of sensors 308 40 PIN Extension Header 310 UBS Keyboard and Mouse 312 AXI bus 314 Visual Cameras 2-lane / 4-lane 316 Camera 1 Authentication 318 ENTRANCE 320 Bus 12C 322 LPDDR reminder 324 MicroSD card 326 MicroSD card 328 APB bus 330 PCIe bus 332 Wi-Fi modules SSDs 502 Unified Capture Unit High-resolution camera that can capture both fingerprints and facial images 504 Preprocessing unit image normalization for processing face and fingerprint images 506 Feature Extraction Facial and fingerprint features are extracted from the collected input images 508 Memory Memory for feature data 510 Comparison and authentication unit Unit for comparing the extracted features from face and fingerprint with stored data records 512 Secure data transmission Data transmission via I2C bus between units 514 Decision and access granting unit Unit that receives the final authentication results 516 Generate locker number and predefined path code 518 Transmission of the path code to the user's terminal device 520 sensors for real-time monitoring and tracking of the user 522 Sensor to verify the correctness of the path followed by the user through continuous monitoring 524 Comparison of actual user movement and the specified path using sensors and cameras 526 Trigger warning when deviation from the specified path occurs 528 Access to the locker is possible if the locker is reached correctly 530 Continuous monitoring of the return path by these sensors 532 Trigger warning in case of deviation from the proposed escape route 534 Stop tracking and monitoring when exit is confirmed by sensors

Claims

[1] A bank safe deposit box security system consisting of: an image capture device configured to capture facial images and fingerprint data for authentication purposes; a control unit consisting of a CPU and a GPU and configured for fast real-time processing and handling of high-resolution facial and fingerprint biometric data; a storage module in conjunction with the image capture device and the control unit, configured to securely store user information and biometric data records; a wireless communications module configured to facilitate secure data transmission and real-time system control; a monitoring system comprising a plurality of sensors in conjunction with the control unit, configured to perform real-time user tracking and enable access control; and an alerting system connected to a monitoring system that is configured to trigger alerts in response to unauthorized or malicious activity. [2] The system of claim 1, wherein the image capture device collects and processes facial images and fingerprint data, wherein the image capture device captures facial images using a camera unit and fingerprint data using a contactless fingerprint scanner for user registration, wherein the image capture device is further configured to transmit the captured facial and fingerprint data to a storage module. [3] The system of claim 1, wherein the control unit retrieves the face and fingerprint data and performs preprocessing, extracting features from face images and fingerprint data and storing the extracted features in the storage module, wherein the features of the face images include the distance between the eyes, the shape of the nose and the contour of the jaw and the features of the fingerprint data include the unique profile patterns and detail points of the fingerprint. [4] The system of claim 1, wherein the memory module uses LPDDR (RAM) and external memory, wherein the storage is secure and can protect the data from unauthorized access. [5] The system according to claim 1, wherein the camera unit and the contactless fingerprint scanner for authentication each capture the facial image and the fingerprint data in real time and the captured data is transmitted to a storage module, and wherein the GPU of the control unit performs real-time processing of the facial images and the CPU of the control unit performs real-time processing of the fingerprint data. [6] The system of claim 1, wherein the control unit is further configured to: Using the CPU and GPU, calculate the shortest path from the entrance to the locker. This path is transmitted to a tracking and monitoring system of the surveillance system. Controlling an access control system that controls a gate locking mechanism, wherein the CPU signals that the entrance gate should be opened to allow access only after successful authentication, and wherein the access control system activates a timer to regulate access to the locker; Controlling the monitoring system, wherein the monitoring system is configured to that it tracks the user's movements in the changing room and triggers the warning system in case of malicious activity, and wherein the monitoring system is further configured to provide an exit confirmation of the user, wherein the CPU allows the exit gate to be opened when the user has finished his stay in the changing room; and Controlling the alarm system, where the alarm system is configured to issue a range of alarms, including an audible warning, a visual warning, and an evacuation alarm. [7] The system of claim 1, further comprising a visual display in communication with a monitoring system configured to show the user the correct route in the fitting room and to highlight the area of ​​deviation, the alarm being generated upon deviation from the suggested route. [8] A system according to claim 6, wherein the time spent by the user in the locker is recorded and stored in the memory module as a logbook for reference. [9] A system according to claim 1 and 6, wherein the alarm system is triggered upon deviations from the designated path, the alarm system triggering warning alarms, sending a real-time notification to a control room or security personnel, temporarily restricting access to all lockers until the deviation is verified and resolved, and capturing the intrusion data, including timestamps and sensor logs, for review and future reference.

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