Face recognition intelligent mirror

Abstract

The invention relates to the technical field of face recognition, and discloses a face recognition intelligent mirror, which comprises a hardware part and a software part, the hardware part comprises a camera, a display and a processor, and the software part comprises a face recognition algorithm, an operation system and a recognition system. According to the face recognition intelligent mirror, high-precision identity recognition can be achieved under various complex environments and light conditions through a high-resolution camera and an advanced face recognition algorithm, false use and forgery are effectively prevented, the recognition process is quick in response through a high-performance processor and optimized algorithm design, a user does not need to wait, and the face recognition intelligent mirror is convenient to use. The intelligent mirror can display personalized information, such as weather, schedule and health data, based on the facial feature information of the user, provides intimate services for the user, adopts strict data encryption and storage measures, ensures the safety and privacy of the facial feature data of the user, and effectively protects the privacy of the user.

Description

Technical Field

[0001] The present invention relates to the technical field of face recognition, in particular to a face recognition smart mirror. Background Art

[0002] Face recognition is a biometric technology that identifies people based on their facial features. A series of related technologies that use cameras or cameras to collect images or video streams containing faces, automatically detect and track faces in images, and then perform face recognition on detected faces are usually called portrait recognition and facial recognition. Face recognition smart mirrors are smart devices that combine face recognition technology. They can identify users based on their facial features and provide a series of intelligent services. Face recognition smart mirrors integrate hardware components such as cameras, displays, and processors, and realize intelligent recognition and interaction through face recognition algorithms and operating systems. It can provide users with convenient, safe, and intelligent identity authentication and interactive experience in different scenarios, such as home, business, and security. This application now proposes a face recognition smart mirror and introduces its recognition method in detail. Summary of the invention

[0003] Technical Solution

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a face recognition smart mirror, comprising a hardware part and a software part, wherein the hardware part comprises a camera, a display and a processor, and the software part comprises a face recognition algorithm, an operating system and a recognition system, wherein the face recognition steps are as follows:

[0005] S1, the camera captures an image or video stream containing a human face and transmits it to the processor;

[0006] S2, the processor pre-processes the image;

[0007] S3, accurately calibrate the position and size of the face in the image through the face detection algorithm;

[0008] S4, the processor extracts features from the detected face image;

[0009] S5. The processor compares and matches the extracted facial feature information with the user facial feature data stored in the system;

[0010] S6. If the match is successful, the system recognizes the user's identity and displays relevant information on the display;

[0011] S7. If the match fails, the system requires the user to re-enter the face information or adopt other authentication methods;

[0012] S8. Based on the recognition result, the system can perform an unlocking operation.

[0013] Preferably, the preprocessing includes denoising and enhancement to improve image quality.

[0014] Preferably, the feature extraction includes position and shape information of key feature points including facial contour, eyes, nose, mouth, etc.

[0015] Preferably, the recognition system has high accuracy, rapidity, robustness and security, wherein:

[0016] High precision: Using advanced face recognition algorithms and image processing technology, it can accurately identify the user's identity and maintain a high recognition accuracy rate under different light and angles;

[0017] Speed: The system has a high-performance processor and optimized algorithm design, which can complete the collection, processing and recognition of facial images in a short time and achieve real-time response and interaction;

[0018] Robustness: The system can cope with recognition challenges in various complex environments and lighting conditions, such as light changes, facial occlusion, expression changes, etc., and maintain stable recognition performance;

[0019] Security: The system uses strict data encryption and storage measures to ensure the security and privacy of user facial feature data. At the same time, the system also supports multiple authentication methods and security strategies to improve the security and reliability of the system.

[0020] Preferably, the camera of the hardware part captures images and video streams containing faces, the display of the hardware part displays recognition results and other related information, and the processor of the hardware part processes the image data captured by the camera and executes face recognition algorithms and other image processing operations.

[0021] Preferably, the face recognition algorithm analyzes and compares the face image captured by the camera with the user's facial feature data stored in the system, and the specific steps are as follows:

[0022] S301, first perform face detection to accurately calibrate the position and size of the face in the image;

[0023] S302, extracting facial features to extract the position and shape information of key feature points of facial contour, eyes, nose, and mouth;

[0024] S303: Finally, feature matching and recognition are performed to compare and match the extracted facial feature information with the user's facial feature data in the system to determine the user's identity.

[0025] Preferably, the operating system manages and controls the operation of the entire recognition system, including the driving of the camera and the operation of the image processing software.

[0026] Compared with the prior art, the present invention provides a face recognition smart mirror, which has the following beneficial effects:

[0027] 1. The face recognition smart mirror, the recognition system of the face recognition smart mirror combines high-performance hardware and advanced face recognition algorithms to provide users with efficient and accurate identity recognition services. Through continuous technological improvement and innovation, the system will be able to play an important role in more fields.

[0028] 2. This face recognition smart mirror, by using a high-resolution camera and advanced face recognition algorithms, can achieve high-precision identity recognition in various complex environments and lighting conditions, effectively preventing impersonation and forgery. The high-performance processor and optimized algorithm design make the recognition process respond quickly, and users do not need to wait, providing a smooth user experience. Based on the user's facial feature information, the smart mirror can display personalized information, such as weather, schedule, health data, etc., to provide users with considerate services. Strict data encryption and storage measures are adopted to ensure the security and privacy of the user's facial feature data, effectively protecting user privacy. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a schematic diagram of the face recognition process of the present invention;

[0030] Figure 2 Schematic diagram of the steps of the face recognition algorithm of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Embodiment 1:

[0033] A face recognition smart mirror includes a hardware part and a software part. The hardware part includes a camera, a display and a processor. The software part includes a face recognition algorithm, an operating system and a recognition system. The face recognition steps are as follows:

[0034] S1, the camera captures an image or video stream containing a human face and transmits it to the processor;

[0035] S2, the processor pre-processes the image;

[0036] S3, accurately calibrate the position and size of the face in the image through the face detection algorithm;

[0037] S4, the processor extracts features from the detected face image;

[0038] S5. The processor compares and matches the extracted facial feature information with the user facial feature data stored in the system;

[0039] S6. If the match is successful, the system recognizes the user's identity and displays relevant information on the display;

[0040] S7. If the match fails, the system requires the user to re-enter the face information or adopt other authentication methods;

[0041] S8. Based on the recognition result, the system can perform an unlocking operation.

[0042] Embodiment 2:

[0043] According to a face recognition smart mirror proposed in Embodiment 1, the recognition system has high accuracy, rapidity, robustness and security, wherein:

[0044] High precision: Using advanced face recognition algorithms and image processing technology, it can accurately identify the user's identity and maintain a high recognition accuracy rate under different light and angles;

[0045] Speed: The system has a high-performance processor and optimized algorithm design, which can complete the collection, processing and recognition of facial images in a short time and achieve real-time response and interaction;

[0046] Robustness: The system can cope with recognition challenges in various complex environments and lighting conditions, such as light changes, facial occlusion, expression changes, etc., and maintain stable recognition performance;

[0047] Security: The system uses strict data encryption and storage measures to ensure the security and privacy of user facial feature data. At the same time, the system also supports multiple authentication methods and security strategies to improve the security and reliability of the system.

[0048] Embodiment three:

[0049] According to a face recognition smart mirror proposed in Example 1, the camera of the hardware part captures images and video streams containing faces, the display of the hardware part displays recognition results and other related information, and the processor of the hardware part processes the image data captured by the camera and executes face recognition algorithms and other image processing operations.

[0050] Embodiment 4:

[0051] According to a face recognition smart mirror proposed in Embodiment 1, the face recognition algorithm analyzes and compares the face image captured by the camera with the user's facial feature data stored in the system, and the specific steps are as follows:

[0052] S301, first perform face detection to accurately calibrate the position and size of the face in the image;

[0053] S302, extracting facial features to extract the position and shape information of key feature points of facial contour, eyes, nose, and mouth;

[0054] S303: Finally, feature matching and recognition are performed to compare and match the extracted facial feature information with the user's facial feature data in the system to determine the user's identity.

[0055] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A face recognition smart mirror, characterized in that: It includes hardware and software. The hardware includes a camera, a display and a processor. The software includes a face recognition algorithm, an operating system and a recognition system. The face recognition steps are as follows: S1, the camera captures an image or video stream containing a human face and transmits it to the processor; S2, the processor pre-processes the image; S3, accurately calibrate the position and size of the face in the image through the face detection algorithm; S4, the processor extracts features from the detected face image; S5. The processor compares and matches the extracted facial feature information with the user facial feature data stored in the system; S6. If the match is successful, the system recognizes the user's identity and displays relevant information on the display; S7. If the match fails, the system requires the user to re-enter the face information or adopt other authentication methods; S8. Based on the recognition result, the system can perform an unlocking operation.

2. The face recognition smart mirror according to claim 1, characterized in that: The preprocessing includes denoising and enhancement to improve image quality.

3. The face recognition smart mirror according to claim 1, characterized in that: The feature extraction includes the position and shape information of key feature points including facial contour, eyes, nose and mouth.

4. The face recognition smart mirror according to claim 1, characterized in that: The identification system has high accuracy, rapidity, robustness and security, wherein: High precision: Using advanced face recognition algorithms and image processing technology, it can accurately identify the user's identity and maintain a high recognition accuracy rate under different light and angles; Speed: The system has a high-performance processor and optimized algorithm design, which can complete the collection, processing and recognition of facial images in a short time and achieve real-time response and interaction; Robustness: The system can cope with recognition challenges in various complex environments and lighting conditions, such as light changes, facial occlusion, expression changes, etc., and maintain stable recognition performance; Security: The system adopts strict data encryption and storage measures to ensure the security and privacy of user facial feature data. At the same time, the system also supports multiple authentication methods and security strategies to improve the security and reliability of the system.

5. The face recognition smart mirror according to claim 1, characterized in that: The camera of the hardware part captures images and video streams containing faces, the display of the hardware part displays recognition results and other related information, and the processor of the hardware part processes the image data captured by the camera, executes face recognition algorithms and other image processing operations.

6. The face recognition smart mirror according to claim 1, characterized in that: The face recognition algorithm analyzes and compares the face image captured by the camera with the user's facial feature data stored in the system. The specific steps are as follows: S301, first perform face detection to accurately calibrate the position and size of the face in the image; S302, extracting facial features to extract the position and shape information of key feature points of facial contour, eyes, nose, and mouth; S303: Finally, feature matching and recognition are performed to compare and match the extracted facial feature information with the user's facial feature data in the system to determine the user's identity.

7. The face recognition smart mirror according to claim 1, characterized in that: The operating system manages and controls the operation of the entire recognition system, including the driving of the camera and the operation of the image processing software.

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