DESC:
E) DETAILED DESCRIPTION OF THE INVENTION
[0023] In the following detailed description, reference is made to the accompanying drawings that form a part hereof, and in which the specific embodiments that may be practiced is shown by way of illustration. These embodiments are described in sufficient detail to enable those skilled in the art to practice the embodiments and it is to be understood that the logical, mechanical and other changes may be made without departing from the scope of the embodiments. The following detailed description is therefore not to be taken in a limiting sense.
[0024] The various embodiments of the present invention provide a "Device and Method for Face Recognition and Attendance Management with Access Management" which discloses a groundbreaking leap in the evolution of access control and security systems. In response to the limitations of conventional methods, this innovation seamlessly integrates cutting-edge facial recognition technology with advanced features to redefine how we manage access and security in diverse environments.
[0025] Conventional methods for attendance management and access control, such as manual check-ins, ID cards, and fingerprint scanning, have proven to be susceptible to errors and lack the efficiency required in modern settings. Prior art in facial recognition systems has made strides in identification but often falls short in providing a holistic solution. Existing systems may lack emotional assessment capabilities, dynamic tracking functionalities, and the ability to identify hazardous objects, thus necessitating a more comprehensive approach.
[0026] The invention's core components consist of a 360-degree rotatable camera and an integrated processing module. This cohesive design allows for seamless interaction between the hardware and software, facilitating the device's multifaceted functionalities. The camera's rotational capability ensures a complete field of view, while the processing module manages data analysis and communication.
[0027] Further, the device's facial recognition capabilities represent a significant advancement. Using state-of-the-art algorithms, it identifies and tags individuals with a unique identification value. This not only simplifies attendance management but also serves as the basis for access control, allowing for a more secure and efficient system than traditional methods.
[0028] An innovative feature of the disclosed invention is the device's ability to perform emotional mapping through facial expressions. It calculates indices such as the "Happy Index" and "Sleep Index," providing valuable insights into an individual's emotional state or alertness. This emotional mapping adds a layer of understanding, enhancing the device's applicability in various environments where emotional assessment is crucial.
[0029] To ensure optimal tracking, the device incorporates dynamic pan and zoom functionalities. The automated camera follows faces in real-time, providing a 360-degree view. This feature is particularly useful in scenarios where individuals may move unpredictably, such as in crowded spaces or high-traffic areas.
[0030] Efficient data management is a crucial aspect of the invention. Captured data is seamlessly relayed to a server portal, local server, or external broadcasting and recording services in real-time. This streamlined data flow ensures quick access to information, facilitating not only attendance tracking but also enhancing overall security monitoring.
[0031] The disclosed device introduces robust access management features, allowing administrators to define rules and controls based on recognized faces. This object empowers administrators to specify who is permitted or denied access to a building or premises, enhancing overall security protocols. This dynamic approach to access management is a significant departure from traditional static systems.
[0032] Additionally, beyond attendance management, the device is equipped with security applications that extend its utility. It is programmed to identify and tag objects such as explosives, guns, knives, or other dangerous items. This feature enhances security measures in environments where the detection of such objects is critical, such as airports or government facilities.
[0033] Further to the described invention, an overarching strength of the disclosed invention lies in its adaptability across diverse industries and environments. From educational institutions to public venues and security-sensitive areas, the device's versatility ensures its applicability in a wide range of settings, addressing the unique challenges each environment presents. This adaptability positions the invention as a comprehensive and intelligent solution for modern access control and security management.
[0034] In conclusion, the "Device and Method for Face Recognition and Attendance Management with Access Management" represents a paradigm shift in the field of access control and security. By addressing the limitations of traditional methods and incorporating advanced features, this device has the potential to redefine how access is managed and security is ensured in a variety of environments. Its multifaceted capabilities, from facial recognition to emotional mapping and security applications, position it as a comprehensive and intelligent solution for the challenges of the modern era.
[0035] Figure 1 illustrates a systematic process utilized by the innovative facial recognition and attendance management system. According to the embodiment, the flow chart delineates a systematic process utilized by the innovative facial recognition and attendance management system, starting with the initialization of the process at step 1. The procedure commences with capturing the facial images of individuals within the vicinity using a sophisticated 360-degree camera, as outlined in step 2. This advanced camera is instrumental in ensuring comprehensive coverage of the monitored area, allowing for the accurate capture of facial features from various angles and positions, thereby enhancing the system's ability to perform facial recognition effectively.
[0036] Upon capturing the facial images, the system proceeds to step 3, where it performs facial recognition by analyzing the captured images to identify and assign a unique identification value to each face. This step is crucial for distinguishing individuals and maintaining an accurate attendance record. Following the facial recognition, the system undertakes an emotional analysis in step 4, utilizing its emotional mapping module to calculate emotional indices such as the "Happy Index" and "Sleep Index." This innovative feature provides insights into the emotional state and alertness of the individuals, adding a layer of depth to the system's capabilities.
[0037] Simultaneously, the system employs dynamic pan and zoom functionalities, as depicted in step 5, to adjust the camera's focus and ensure optimal image capture, even as subjects move within the camera's field of view. This feature ensures that individuals remain in focus, facilitating continuous and accurate facial recognition. In step 6, the system makes access management decisions based on the recognized faces and predefined rules set by administrators, enhancing the security protocols and ensuring that only authorized individuals gain access to restricted areas.
[0038] Moreover, the system is equipped with an object and hazard identification module, as highlighted in step 7, which allows for the detection of potentially dangerous objects within the monitored area, thereby augmenting the security measures. In conjunction with this, the system also incorporates movement tracking and data analysis capabilities in step 8, enabling the monitoring and analysis of individuals' movements for enhanced security and operational efficiency.
[0039] Finally, the system emphasizes efficient data management and real-time data relay, as indicated in step 9. This step ensures that all captured and processed data is seamlessly relayed to designated servers or external systems for immediate access and monitoring, culminating the process as concluded in step 10. This comprehensive and systematic approach, as detailed in the flow chart, underscores the multifaceted capabilities of the facial recognition and attendance management system, showcasing its potential to revolutionize access control and security management practices.
,CLAIMS:Claims:
1. A facial recognition and attendance management system, comprising:
a 360-degree rotatable camera for capturing facial images within a monitored area;
a processing unit configured to perform facial recognition, assign a unique identification value to each recognized face, and manage attendance data;
an emotional mapping module for analyzing facial expressions to calculate emotional indices, including but not limited to a "Happy Index" and a "Sleep Index";
a dynamic adjustment mechanism enabling the camera to pan and zoom in response to the movement of subjects within the camera's field of view;
an access management controller for making access decisions based on recognized faces and predefined administrator rules;
an object recognition module capable of identifying any objects such as but not limited to number plates, currencies, potholes or potentially hazardous objects within the camera's field of view;
a movement tracking and data analysis module for monitoring and analyzing the movement of subjects and objects within the monitored area;
a data management system for real-time relaying of captured and processed data to designated server portals, local servers, or external broadcasting and recording services.
2. The system of claim 1, wherein the emotional mapping module further comprises algorithms for detecting and analyzing additional emotional states beyond the "Happy Index" and "Sleep Index" which further can also identify different gestures.
3. The system of claim 1, wherein the dynamic adjustment mechanism includes software algorithms and motorized hardware components capable of automatically adjusting the camera's orientation and zoom level based on the subjects' positions and movements.
4. The system of claim 1, wherein the access management controller is further configured to allow administrators to dynamically update access rules and parameters based on real-time data and analytics.
5. The system of claim 1, wherein the object recognition module utilizes machine learning algorithms to improve the accuracy and range of object identification over time through continuous learning and data accumulation.
6. The system of claim 1, wherein the movement tracking and data analysis module employs advanced algorithms to provide predictive analytics regarding subjects' future locations based on historical movement patterns.
7. The system of claim 1, wherein the data management system includes encryption and cybersecurity measures to ensure the confidentiality and integrity of the transmitted data.
8. The system of claim 2, wherein the algorithms for detecting and analyzing additional emotional states are capable of assessing stress levels, fatigue, and other psychological conditions relevant to security and management purposes.
9. The system of claim 3, wherein the software algorithms for the dynamic adjustment mechanism are designed to prioritize the focus on subjects based on predefined criteria such as proximity to sensitive areas, unusual behavior, or other risk factors.
10. The system of claim 4, wherein the access management controller integrates with existing security infrastructure, allowing for seamless interoperability with other security systems and devices within the premises.
11. The system of claim 5, wherein the machine learning algorithms of the object recognition module are designed to adapt to various environmental conditions and lighting variations, enhancing the reliability of object identification across different settings and times of day.
12. The system of claim 1, wherein the device integrates long-range wireless protocols such as LoRa, LTE-M, and NB-IoT, enabling seamless communication over extended distances without reliance on traditional cellular networks.
13. The system of claim 1, wherein the device is configured to operate without a SIM card, utilizing advanced wireless technologies to establish connections for data transmission and communication, thereby reducing dependency on cellular network infrastructure.
14. The system of claim 1, wherein the wireless communication module is designed to transmit and receive signals capable of penetrating through walls and other barriers, ensuring uninterrupted functionality even in environments with restricted network accessibility.
15. The system of claim 1, wherein the device is powered by an integrated solar panel, allowing for energy harvesting and eliminating the need for full-fledged power requirements, thereby supporting sustainable and remote operations.
16. The system of claim 1, wherein the device includes a satellite communication module, enabling bidirectional data exchange with satellite networks, further extending the operational range to areas with no terrestrial network coverage.
17. The system of claim 1, wherein the device incorporates a biometric authentication module, supporting additional security features such as fingerprint scanning, iris recognition, or voice authentication alongside facial recognition.
18. The system of claim 1, wherein the device is equipped with advanced proctoring capabilities, including modules for real-time face tracking, eye movement analysis, hand and body gestures and external noise detection, ensuring comprehensive monitoring for use cases like remote examinations or security surveillance.
19. The system of claim 1, wherein the solar-powered energy system is supplemented by an internal battery backup, and the device dynamically switches between satellite communication and long-range wireless protocols based on network availability and energy efficiency.
20. The system of claim 1, wherein the device’s integrated modules for wireless communication, solar power, and biometric authentication are designed to function efficiently across diverse environmental conditions, including low-light settings, extreme temperatures, and high-interference zones.