Fingerprint acquisition device and intelligent door lock
By employing a curved surface coating and a multi-sensor array layout in the fingerprint acquisition device, combined with timing switching and storage modules, the problem of incomplete fingerprint acquisition in existing technologies is solved, achieving efficient and accurate fingerprint acquisition and recognition.
Patent Information
- Application Number
- CN202423104901.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-16
- Publication Date
- 2025-10-31
- Estimated Expiration
- 2034-12-16
AI Technical Summary
Existing fingerprint acquisition devices suffer from a lack of structural simplicity and flexible layout, making it difficult to collect fingerprint information comprehensively and accurately, which affects the recognition accuracy. Furthermore, the sensor array layout and control are not efficient enough, resulting in low acquisition efficiency.
Employing a curved coating and a rationally arranged sensor array, including a main sensor, rectangular, ring, and irregularly shaped sensor arrays, and by setting specific angles and positions, combined with a timing switching module and a storage module, comprehensive and accurate fingerprint collection is achieved.
It improves the comprehensiveness and accuracy of fingerprint collection, enhances the flexibility and adaptability of the sensor, improves collection efficiency and recognition reliability, and enhances the user experience.
Smart Images

Figure CN223501402U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of electronic equipment technology, specifically to a fingerprint collection device and a smart door lock. Background Technology
[0002] With technological advancements, fingerprint recognition technology is widely used in numerous electronic devices such as mobile phones and smart locks to enhance security and convenience. However, existing fingerprint collection devices have design flaws; their structure and layout are relatively simple, resulting in limited fingerprint collection coverage. This makes it difficult to accurately and comprehensively collect fingerprint information from various finger placement angles and positions, thereby reducing the accuracy of subsequent fingerprint recognition.
[0003] Furthermore, existing designs lack flexibility and efficiency in the layout and control of sensor arrays. The fixed layout makes it difficult to adapt to different shaped acquisition areas and user habits. Moreover, the operation control is not precise enough and lacks effective timing control, which affects acquisition efficiency. Utility Model Content
[0004] Embodiments of this utility model provide a fingerprint acquisition device and a smart door lock, which improve the finger contact experience and protect internal components by setting a curved surface covering coating, use a reasonably arranged main sensor for key data processing, and achieve more comprehensive and accurate fingerprint acquisition by using a sensor array set at specific angles and positions.
[0005] To achieve the above objectives, the embodiments of this utility model adopt the following technical solutions:
[0006] In a first aspect, embodiments of the present invention provide a fingerprint acquisition device, comprising:
[0007] A curved surface coating is applied to the fingerprint contact surface of the curved fingerprint sensor;
[0008] The main sensor is located in the central region of the lower part of the curved surface coating;
[0009] A sensor array is disposed in a predetermined range outside the central region of the lower part of the curved surface covering coating, wherein the sensor array is perpendicular to the height direction of the curved fingerprint head and tangent to the curved surface.
[0010] Furthermore, the sensor array adopts a rectangular arrangement layout, and the sensor array includes multiple independent sensors, wherein the independent sensors are arranged in a symmetrical circular pattern around the central region.
[0011] Furthermore, the angle between the line connecting the center point of the adjacent independent sensor and the center point of the main sensor is A, where 10°≤A≤45°.
[0012] Furthermore, the symmetrical circular arrangement of the independent sensors around the central region includes at least one concentric structure, with the center point of the central region as the center of the concentric structure, and the diameter of the concentric structure is B, where 5mm < B < 30mm.
[0013] Furthermore, the sensor array adopts a ring arrangement layout, and the sensor array includes at least one ring sensor, wherein the ring sensor is located in a ring area with the midpoint of the central area as the center.
[0014] Furthermore, the sensor array adopts an irregular arrangement layout, and the sensor array includes: multiple sensors, wherein each sensor has different structural features and is arranged in a circumferential asymmetrical layout around the central region, and the structural features include, but are not limited to, three-dimensional structures and planar structures.
[0015] Furthermore, the sensors in the sensor array are equipped with excitation sources, wherein the excitation sources control the sensors to perform fingerprint acquisition operations by generating physical fields.
[0016] Furthermore, the device also includes a timing switching module, wherein the timing switching module is connected to multiple independent sensors and is used to control the working timing of each independent sensor according to a preset timing rule.
[0017] Furthermore, the device also includes a storage module, wherein the storage module is connected to the sensor array and the main sensor respectively, and is used to store the fingerprint image data collected by the sensor array and the main sensor.
[0018] Furthermore, the thickness of the reserved substrate between the sensor array and the curved fingerprint sensor is C, where 0 ≤ C ≤ 15 mm. 。
[0019] Secondly, this utility model embodiment also provides a smart door lock configured with a fingerprint acquisition device, including: a fingerprint pressing module, an image processing module, and a fingerprint acquisition device, wherein the fingerprint pressing module is connected to the fingerprint acquisition device, and the fingerprint acquisition device is connected to the image processing module. When the fingerprint pressing module detects a fingerprint pressing operation, it triggers the fingerprint acquisition device to acquire fingerprint image data and transmits the fingerprint image data to the image processing module for processing.
[0020] Furthermore, the image processing module includes an analysis submodule and a matching submodule. The analysis submodule is connected to the fingerprint acquisition device and the matching submodule, respectively. The analysis submodule is used to receive fingerprint image data acquired by the fingerprint acquisition device, extract feature points from the fingerprint image data, and transmit the feature points to the matching submodule for feature point comparison to obtain a comparison result.
[0021] The fingerprint collection device and smart door lock provided in this embodiment of the invention have the following beneficial effects:
[0022] The device provided in this embodiment of the invention provides a comfortable and stable contact surface for the finger through a curved coating, protecting the internal sensors and reducing external interference and wear. The main sensor is located in the central area under the coating, accurately and efficiently collecting and processing core fingerprint information, ensuring accurate and timely data. The sensor array is perpendicular and tangent to the curved fingerprint head, greatly expanding the collection range, comprehensively and meticulously collecting fingerprints, avoiding data loss or inaccuracy, and improving integrity and accuracy. It has various arrangement layouts, such as rectangular (including independent sensors in a symmetrical circular layout with a specific range of included angles and a specific range of diameter for the concentric structures), ring (at least one ring sensor in a specific ring area), and irregular (including sensors with different structural features in a symmetrical circular layout). The sensors are equipped with an excitation source to control the acquisition, a timing switching module to control the timing of independent sensors, and a storage module to store data. A specific range of substrate thickness is reserved between the array and the curved fingerprint head, improving functionality, ensuring efficient, accurate, and reliable acquisition, and enhancing the user experience.
[0023] The smart door lock provided in this embodiment integrates a fingerprint pressing module, an image processing module, and the aforementioned fingerprint acquisition device. When a user performs a fingerprint pressing operation, the fingerprint pressing module can quickly sense and trigger the fingerprint acquisition device to work. The fingerprint image data acquired by the fingerprint acquisition device can be quickly transmitted to the image processing module. Attached Figure Description
[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0025] Figure 1 This is a schematic diagram of the fingerprint acquisition device provided in an embodiment of the present invention;
[0026] Figure 2 This is a structural schematic diagram of a rectangular arrangement layout provided in an embodiment of the present utility model;
[0027] Figure 3 This is a schematic diagram of another rectangular arrangement layout provided in an embodiment of the present utility model;
[0028] Figure 4 A schematic diagram of another rectangular arrangement layout provided for an embodiment of this utility model;
[0029] Figure 5 This is a schematic diagram of the ring-shaped arrangement provided in an embodiment of the present utility model;
[0030] Figure 6 This is a structural schematic diagram of the irregular arrangement layout provided in an embodiment of the present utility model;
[0031] Figure 7 This is a structural diagram of the smart door lock provided in an embodiment of the present utility model. Detailed Implementation
[0032] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.
[0033] Figure 1 This is a schematic diagram of the fingerprint acquisition device provided in an embodiment of the present invention. The fingerprint acquisition device 1 includes a curved surface covering coating 10 disposed on the fingerprint contact surface of the curved fingerprint head; a main sensor 11 disposed in the central region of the lower part of the curved surface covering coating 10; and a sensor array 12 disposed in a predetermined range outside the central region of the lower part of the curved surface covering coating 10, wherein the sensor array 12 is perpendicular to the height direction of the curved fingerprint head and tangent to the curved surface.
[0034] As can be seen from the above, this utility model embodiment changes the original planar fingerprint acquisition structure to an arc-shaped fingerprint acquisition structure. That is, by setting a curved surface covering coating 10 as the fingerprint contact surface of the arc-shaped fingerprint head, the main sensor 11 is reasonably arranged in the central area and the sensor array 12 is arranged in a preset range outside the central area, and the sensor array 12 is tangent to the arc surface. The main sensor 11 includes a sensor chip for processing image data and also has an image acquisition function to acquire fingerprint images located in the central area. This can effectively adapt to the different shapes of finger pressing surfaces, improve the accuracy and comprehensiveness of fingerprint acquisition, and better meet the needs of various arc-shaped fingerprint acquisition scenarios in practical applications.
[0035] As an optional solution of this utility model, such as Figure 2As shown, the sensor array 12 adopts a rectangular arrangement layout and includes multiple independent sensors 120, wherein the independent sensors 120 are arranged in a circular symmetrical layout around the central region.
[0036] In addition, the sensor array 12 includes, but is not limited to, symmetrical arrangements such as rectangular and circular arrangements.
[0037] Specifically, when a finger is pressed onto the curved surface coating 10 of the curved fingerprint sensor, the main sensor 11, located in the central area, first focuses on acquiring data from the core area of the fingerprint. Due to its central and relatively concentrated position, it can accurately focus on the most critical and characteristic parts of the fingerprint pattern, obtaining clear and representative core area image information. Simultaneously, independent sensors 120, arranged symmetrically in a circular pattern around the central area, simultaneously acquire data from multiple angles. These independent sensors 120 are evenly distributed around the perimeter, capturing information from the fingerprint edges and surrounding areas, complementing the core area information acquired by the main sensor 11. This results in a more complete and richer fingerprint image, covering all parts from the center to the edge. The acquired image data is transmitted to the MCU of the main sensor 11 on the circuit board via their respective lines for processing. Because the rectangular arrangement is relatively regular, the connection lines between sensors and the connection method with the MCU are easier to standardize in design. This standardized circuit connection design helps reduce interference and loss during signal transmission, ensuring that image data can be accurately and stably transmitted to the MCU for subsequent analysis and processing. After the MCU receives image data from different sensors, it will integrate and perform preliminary processing on this data according to a predetermined program, such as noise reduction and contrast enhancement, so as to provide a higher quality image data foundation for subsequent fingerprint recognition.
[0038] The solution provided by this utility model features a rectangular arrangement in which the main sensor 11 is positioned at the center, enabling precise focusing and acquisition of the fingerprint core area. Independent sensors 120 are symmetrically distributed around the center in a circular pattern, supplementing the acquisition of fingerprint edge and surrounding information from multiple angles, resulting in a more complete and richer fingerprint image. Furthermore, the relatively regular rectangular arrangement facilitates standardized design and management in circuit connections and signal transmission processing, improving the stability and reliability of the fingerprint acquisition system. This also makes it easier to achieve efficient production and reduce production costs during large-scale manufacturing.
[0039] As an optional solution of this utility model, such as Figure 3 As shown, the angle between the line connecting the center point of the adjacent independent sensor and the center point of the main sensor is A, where 10°≤A≤45°.
[0040] Specifically, when the included angle A is within this range, it can effectively cover different areas of the fingerprint while ensuring a relatively uniform distribution of sensors. If the included angle is too small, the individual sensors are too densely distributed, which can easily lead to overlapping acquisition areas, increasing costs and hindering data integration; if the included angle is too large, the individual sensors will be sparsely distributed, resulting in some areas of the fingerprint not being acquired or being acquired incompletely, affecting the integrity of the fingerprint image. Through extensive experiments and practical application tests, it has been found that the range of 10°≤A≤45° achieves a good balance in terms of cost, acquisition effect, and other aspects, ensuring that the fingerprint acquisition device can efficiently and accurately acquire fingerprint information.
[0041] As an optional solution of this utility model, such as Figure 4 As shown, the independent sensor is arranged in a symmetrical circular pattern around the central region, comprising at least one concentric structure. The concentric structure is centered on the center point of the central region, and its diameter is B, where 5mm < B < 30mm.
[0042] Specifically, the symmetrical circular arrangement of independent sensors around the central region can include one or more concentric structures. When the diameter B is less than 5mm, the area covered by the concentric structures is too small, the number of independent sensors is limited, and it is difficult to fully collect the rich information of the fingerprint edge and surrounding areas, which is not conducive to forming a complete fingerprint image. When the diameter B is greater than 30mm, on the one hand, it is easy to exceed the effective fingerprint collection range, resulting in the collection of too much useless information and increasing the data processing burden. On the other hand, the sensor layout may be too scattered, affecting the collaborative collection effect with the central main sensor and reducing the overall collection accuracy. Within the range of 5mm < B < 30mm, the layout of independent sensors can be reasonably arranged according to different finger sizes and fingerprint characteristics, so that each concentric structure can cooperate with each other and work with the main sensor to complete the accurate collection of fingerprints from the core to the edge in a comprehensive and multi-layered manner, improving the completeness and accuracy of fingerprint collection, and providing a high-quality data foundation for subsequent fingerprint recognition and other operations.
[0043] As an optional solution of this utility model, such as Figure 5 As shown, the sensor array 12 adopts a ring arrangement layout, and the sensor array 12 includes at least one ring sensor 121, wherein the ring sensor 121 is located in a ring area with the midpoint of the central area as the center.
[0044] Specifically, when a finger contacts the curved fingerprint sensor for acquisition, the main sensor 11, located in the central area, initiates the acquisition process first. Leveraging its central position, it quickly captures key features of the fingerprint center, such as the center point, the starting and converging points of the main lines. Next, the ring sensors 121, arranged in a ring around the central area, begin operation. They acquire transition features from the fingerprint center to the edges, as well as detailed information about the edges. Through its ring layout, the ring sensors 121 comprehensively cover the surrounding area of the fingerprint. Combined with the central information acquired by the main sensor 11, this achieves comprehensive, multi-layered acquisition of the fingerprint from the inside out, expanding the dimensions of the acquired fingerprint data. In the fingerprint recognition process, the image data acquired by the main sensor 11 and the ring sensors 121 are processed by the MCU within the main sensor 11.
[0045] The solution provided by this utility model features a circular arrangement where the main sensor 11, located in the central region, is the first to capture key features of the fingerprint center. The circular sensor 121, surrounding the center, acquires transitional features and edge details from the center to the edge. Working together, they achieve comprehensive, multi-layered fingerprint acquisition, significantly expanding the data dimensions of fingerprint collection. In the fingerprint recognition process, this arrangement effectively improves recognition accuracy and anti-interference capabilities. Even with slight deviations in finger placement or wear on some fingerprints, accurate identification can still be achieved through comprehensive analysis of data from the central main sensor and the circular sensor, enhancing the adaptability and effectiveness of the fingerprint acquisition device in complex usage scenarios.
[0046] As an optional solution of this utility model, such as Figure 6 As shown, the sensor array 12 adopts an irregular arrangement layout. The sensor array 12 includes multiple sensors 122, wherein each sensor 122 has different structural features and is arranged in a circular asymmetrical layout around the central region. The structural features include, but are not limited to, three-dimensional structures and planar structures.
[0047] It should be noted that the sensor 122 can exist as a single, three-dimensional unit with varying shapes. The height of each sensor 122 differs, and its specific value is closely related to the contact angle and height when the finger is placed in the fingerprint acquisition area. Thus, during fingerprint acquisition, each sensor 122 can achieve a close and seamless contact with the finger surface, thereby ensuring accurate fingerprint information acquisition. This design fully considers the different characteristics exhibited by different finger placements, and by flexibly adjusting the sensor height, it effectively conforms to the irregular shape of the finger surface, significantly improving the accuracy and reliability of fingerprint acquisition.
[0048] Furthermore, the structural combination of the sensor array 12 offers high flexibility. When all sensors 122 are three-dimensional, their varying shapes and heights can be arranged asymmetrically based on the curvature variations of different parts of the finger, ensuring a close fit to the finger surface from all angles. If all sensors are area arrays, their size, shape, and asymmetrical distribution can be adjusted to adapt well to the irregular characteristics of the finger. In a hybrid combination of area arrays and three-dimensional structures, whether using a symmetrical or asymmetrical layout, a reasonable and appropriate arrangement can be implemented according to actual application requirements and the inherent characteristics of the finger. This ensures that the sensor array 12 can fit the finger surface to the maximum extent in diverse situations, thereby accurately collecting fingerprint information and enhancing the adaptability and accuracy of the fingerprint acquisition device in different scenarios.
[0049] Specifically, during fingerprint acquisition, each sensor 122 operates specifically according to the shape of the object being measured or specific fingerprint acquisition requirements. By controlling the sensors 122, their operating states can be precisely adjusted. For example, for irregularly shaped object surfaces, when a finger presses on the corresponding position of the curved fingerprint sensor, the sensor 122 at that specific location can perform acquisition operations according to pre-set parameters. These sensors can flexibly acquire fingerprint information in their respective areas based on their positions, achieving targeted acquisition of fingerprints in specific areas or shapes. The circumferential asymmetrical layout makes the distribution of sensors 122 around the central area more flexible and diverse, better adapting to various irregularly shaped objects or specific fingerprint acquisition requirements. Sensors 122 at different positions can independently adjust their acquisition parameters and operating modes according to actual conditions, ensuring high-quality fingerprint image data can be acquired under various complex conditions. The image data acquired by each sensor 122 is transmitted to the MCU of the main sensor 11 on the circuit board for processing. The MCU will first classify and organize the data from different sensors 122, and identify the sensor location and acquisition parameters corresponding to each data.
[0050] The solution provided by this invention offers significant advantages in terms of high flexibility and adaptability in irregularly shaped arrangements. By adjusting the working state of each sensor 122, targeted fingerprint acquisition of specific areas or shapes can be achieved. The circumferential asymmetrical layout further enhances this flexibility, perfectly adapting to irregularly shaped objects or special fingerprint acquisition needs. For example, in scenarios with special requirements for fingerprint acquisition on irregularly shaped device surfaces or specific locations, it can provide personalized fingerprint acquisition solutions, significantly improving the versatility and applicability of the fingerprint acquisition device.
[0051] As an optional solution of this utility model, the sensors in the sensor array 12 are provided with an excitation source, wherein the excitation source controls the sensors to perform fingerprint acquisition operations by generating a physical field.
[0052] The excitation source provided by this invention is located inside each sensor, generating a uniform and stable physical field environment in the areas where each sensor in the sensor array 12 is located. By controlling the operation of the sensors using the physical field, the sensitivity and response speed of the sensors can be improved, enabling them to perceive changes in fingerprint texture features and collect data more quickly and accurately. At the same time, the physical field can also shield external stray signal interference to a certain extent, ensuring the purity and accuracy of the fingerprint data collected by the sensors, thereby comprehensively improving the performance of the fingerprint acquisition device 22.
[0053] As an optional solution of this utility model, the device further includes: a timing switching module 13, wherein the timing switching module 13 is connected to multiple sensors 122 and is used to control the working timing of each sensor 122 according to a preset timing rule.
[0054] The solution provided by this utility model optimizes the workflow of the sensor array 12 through the timing switching module 13. By reasonably setting the timing rules, each sensor 122 can work sequentially in a specific order or time interval, avoiding signal conflicts and interference caused by multiple sensors working simultaneously, and improving the accuracy and stability of the data collected by the sensor array. In addition, precise timing control can also reduce the energy consumption of the entire device, activating power to a sensor only when it is needed, avoiding unnecessary energy waste, extending the battery life of the configured equipment, or reducing dependence on external power supply.
[0055] As an optional solution of this utility model, the device further includes: a storage module 14, wherein the storage module 14 is connected to the sensor array 12 and the main sensor 11 respectively, and is used to store the fingerprint image data collected by the sensor array 12 and the main sensor 11.
[0056] The solution provided by this utility model stores fingerprint image data collected by the sensor array 12 and the main sensor 11 through the storage module 14, providing a data source for subsequent image processing and analysis. In the fingerprint recognition process, the stored image data can be compared with pre-stored fingerprint templates. The stability and capacity of the storage module 14 directly affect the operating efficiency and accuracy of the fingerprint recognition system. Sufficient storage capacity can accommodate a large amount of fingerprint image data, facilitating multi-dimensional analysis and learning by the system, continuously optimizing the recognition algorithm and improving recognition accuracy; stable and reliable storage performance ensures that data is not lost or damaged, guaranteeing the continuity and reliability of the fingerprint recognition system, and effectively preventing recognition failures or security vulnerabilities caused by data loss.
[0057] As an optional solution of this utility model, the thickness of the reserved substrate between the sensor array 12 and the curved fingerprint head is C, where 0≤C≤15mm.
[0058] Specifically, when the reserved substrate thickness is small, the distance between the sensor array 12 and the curved fingerprint sensor is close, enabling more sensitive detection of subtle fingerprint features, reducing signal transmission loss, and improving acquisition accuracy and speed. When the reserved substrate thickness is large, it provides a buffer space for the sensor array, resisting damage to the sensor caused by external pressure or minor collisions, protecting the stability and lifespan of the sensor. At the same time, this thickness range is easier to achieve in manufacturing processes, ensuring the performance of the fingerprint acquisition device while reducing manufacturing difficulty and cost, and improving product yield and market competitiveness.
[0059] Figure 7 This is a schematic diagram of the structure of a smart door lock equipped with a fingerprint acquisition device according to an embodiment of the present invention. The smart door lock 2 includes a fingerprint pressing module 20, an image processing module 21, and a fingerprint acquisition device 22. The fingerprint pressing module 20 is connected to the fingerprint acquisition device 22, and the fingerprint acquisition device 22 is connected to the image processing module 21. When the fingerprint pressing module 20 detects a fingerprint pressing operation, it triggers the fingerprint acquisition device 22 to acquire fingerprint image data and transmits the fingerprint image data to the image processing module 21 for processing.
[0060] Specifically, firstly, during the fingerprint pressing stage, when the user presses the fingerprint pressing module 20 of the smart door lock, its built-in pressure sensor detects the pressure change. If the pressure meets the preset threshold, it sends a trigger signal to the fingerprint acquisition device 22. Next, during the fingerprint acquisition stage, the fingerprint acquisition device 22 acquires fingerprint image data according to its unique structural design. Its acquisition surface is curved, and various types of sensors are arranged in different layouts to achieve all-round acquisition. The sensors mark the images according to their numbers and then transmit them to the sensor chip (MCU) of the main sensor 11 on the circuit board. Subsequently, during the image data transmission stage, the fingerprint acquisition device 22 transmits the data to the image processing module 21. During this process, a high-speed and stable circuit is used, and a verification mechanism is provided to ensure the accuracy of the data. Then, in the image processing stage, the analysis submodule 210 of the image processing module 21 first preprocesses the incoming data to improve its quality, and then accurately extracts feature points and converts them into feature data that is easy to process and compare. Finally, in the fingerprint recognition stage, the extracted feature data is transmitted to the matching submodule 211. When multiple sensors acquire fingerprints, they are compared in numerical order. If the threshold is met, the fingerprint passes. When the ring sensor acquires fingerprints, the quality is judged first, and then the fingerprints are compared with the number and template. If all the fingerprints are compared and the threshold is met, the fingerprint passes.
[0061] In the application scenario of smart door locks, the solution provided by this utility model, through the coordinated operation of the fingerprint pressing module 20, the fingerprint acquisition device 22 and the image processing module 21, can quickly and accurately collect, process and identify user fingerprints, providing a solid guarantee for the secure unlocking of smart door locks.
[0062] As an optional solution of this utility model, the image processing module 21 includes an analysis submodule 210 and a matching submodule 211. The analysis submodule 210 is connected to the fingerprint acquisition device 22 and the matching submodule 211 respectively. The analysis submodule 210 is used to receive the fingerprint image data acquired by the fingerprint acquisition device 22, extract the feature points of the fingerprint image data, and transmit the feature points to the matching submodule 211 for feature point comparison to obtain the comparison result.
[0063] In this embodiment of the invention, for different arrangements, the analysis submodule 210 and the matching submodule 211 work together to process fingerprint image data.
[0064] In a rectangular arrangement, the analysis submodule 210 receives multiple sets of image data from the main sensor 11 and the independent sensor 120. It uses a high-precision edge detection algorithm to extract key feature points from the core area image acquired by the main sensor 11, and uses a region fusion algorithm to extract feature points from the edge and surrounding images acquired by the independent sensor 120. After integration, the data is transmitted to the matching submodule 211. The matching submodule 211 first calculates the matching degree of the feature points in the core area. Once a certain ratio is reached, it combines the feature points of the edge and surrounding areas for comprehensive matching analysis to determine the final result.
[0065] In the ring arrangement layout, the analysis submodule 210 processes the image data of the main sensor 11 and the ring sensor 121. For the image of the central region of the main sensor 11, the center focusing algorithm can be used to extract feature points. For the image of the ring sensor 121, the ring layer analysis algorithm is used to extract feature points and transmit them to the matching submodule 211. The matching submodule 211 first initially matches the central feature points of the main sensor 11. After the match is deemed reliable, it makes a detailed comparison and comprehensive judgment based on the distribution of feature points in different ring layers of the ring sensor 121.
[0066] In the case of irregular arrangement layout, the analysis submodule 210 uses a feature extraction algorithm to extract feature points based on the positions of multiple sensors 122 and the main sensor 11 and transmits them to the matching submodule 211. The matching submodule 211 compares the sensor 122 layout pattern and number in the corresponding irregular layout fingerprint template library, matches the feature points of the sensor 122 at different positions, and makes a comprehensive judgment based on the overall layout relationship.
[0067] The solution provided by this utility model achieves in-depth processing of the acquired fingerprint image data through the collaborative operation of the analysis submodule 210 and the matching submodule 211. The analysis submodule 210 accurately extracts feature points from the fingerprint image, transforming complex fingerprint image information into representative feature data. This reduces the amount of data while retaining key information, effectively improving subsequent processing efficiency. The matching submodule 211 compares these feature points with pre-stored feature points of legitimate user fingerprint templates. Using rigorous algorithms and logical judgments, it accurately determines whether the current fingerprint matches a legitimate user, thereby significantly improving the accuracy and reliability of the smart lock fingerprint recognition system. This effectively ensures the security of the smart lock, prevents unauthorized user intrusion, and builds a strong protective barrier for the user's home and property security.
[0068] The above are merely specific embodiments of this utility model, but the protection scope of this utility model is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this utility model should be included within the protection scope of this utility model. Therefore, the protection scope of this utility model should be determined by the scope of the claims.
Claims
1. A fingerprint acquisition device, characterized in that, include: A curved surface coating is applied to the fingerprint contact surface of the curved fingerprint sensor; The main sensor is located in the central region of the lower part of the curved surface coating; A sensor array is disposed in a predetermined range outside the central region of the lower part of the curved surface covering coating, wherein the sensor array is perpendicular to the height direction of the curved fingerprint head and tangent to the curved surface.
2. The fingerprint acquisition device according to claim 1, characterized in that, The sensor array adopts a rectangular arrangement layout and includes multiple independent sensors, wherein the independent sensors are arranged in a symmetrical circular pattern around the central region.
3. The fingerprint acquisition device according to claim 2, characterized in that, The angle between the line connecting the center point of the adjacent independent sensor and the center point of the main sensor is A, where 10°≤A≤45°.
4. The fingerprint acquisition device according to claim 3, characterized in that, The independent sensors are arranged in a symmetrical circular pattern around the central region, comprising at least one concentric structure. The concentric structure is centered on the center point of the central region, and the diameter of the concentric structure is B, where 5mm < B < 30mm.
5. The fingerprint acquisition device according to claim 1, characterized in that, The sensor array adopts a ring arrangement layout, and the sensor array includes at least one ring sensor, wherein the ring sensor is located in a ring area with the midpoint of the central area as the center.
6. The fingerprint acquisition device according to claim 1, characterized in that, The sensor array adopts an irregular arrangement layout and includes multiple sensors, each of which has different structural features and is arranged in a circular asymmetrical layout around the central region. The structural features include, but are not limited to, three-dimensional structures and planar structures.
7. The fingerprint acquisition device according to any one of claims 1-6, characterized in that, The sensors in the sensor array are equipped with excitation sources, wherein the excitation sources control the sensors to perform fingerprint acquisition operations by generating physical fields.
8. The fingerprint acquisition device according to any one of claims 2-4, characterized in that, The device further includes a timing switching module, wherein the timing switching module is connected to multiple independent sensors and is used to control the working timing of each independent sensor according to a preset timing rule.
9. The fingerprint acquisition device according to claim 1, characterized in that, The device further includes a storage module, wherein the storage module is connected to the sensor array and the main sensor respectively, and is used to store the fingerprint image data collected by the sensor array and the main sensor.
10. The fingerprint acquisition device according to claim 1, characterized in that, The thickness of the reserved substrate between the sensor array and the curved fingerprint sensor is C, where 0 ≤ C ≤ 15 mm.
11. A smart door lock equipped with a fingerprint collection device, characterized in that, The smart door lock includes: a fingerprint pressing module, an image processing module, and a fingerprint acquisition device as described in any one of claims 1-10, wherein the fingerprint pressing module is connected to the fingerprint acquisition device, the fingerprint acquisition device is connected to the image processing module, and when the fingerprint pressing module detects a fingerprint pressing operation, it triggers the fingerprint acquisition device to acquire fingerprint image data and transmits the fingerprint image data to the image processing module for processing.
12. The smart door lock according to claim 11, characterized in that, The image processing module includes an analysis submodule and a matching submodule. The analysis submodule is connected to the fingerprint acquisition device and the matching submodule, respectively. The analysis submodule is used to receive fingerprint image data acquired by the fingerprint acquisition device, extract feature points from the fingerprint image data, and transmit the feature points to the matching submodule for feature point comparison to obtain the comparison result.