Facial recognition system with alarm function

Abstract

The invention provides a face recognition system with an alarm function, which comprises a server, a user side and a sampler, and is characterized in that the user side is connected with the server and is used for uploading first biological information to the server for storage; the sampler is connected with the server and is used for acquiring second biological information and uploading the second biological information to the server; the user side comprises an alarm, and the alarm is configured to work when the second biological information is matched with the first biological information. The face recognition system with the alarm function at least solves the problem of hysteresis of character positioning information in the prior art.

Description

Technical Field

[0001] The present application relates to the field of facial recognition technology, and in particular to a facial recognition system with an alarm function. Background Art

[0002] Facial recognition is a biometric technology that identifies people based on their facial features. It uses a camera or camcorder to collect images or video streams containing faces, and automatically detects and tracks faces in images, and then performs a series of facial-related technologies on the detected faces. It is also commonly called portrait recognition or face recognition.

[0003] Among the related technologies, facial recognition is being widely used in person tracking to capture the geographic location of the person to be tracked. However, after identifying the target person, the related technology is usually unable to immediately alert the relevant departments, resulting in the transfer of the target person and reducing the efficiency of person tracking. Summary of the invention

[0004] An object of the embodiments of the present application is to provide a facial recognition system with an alarm function that can reduce hysteresis.

[0005] In a first aspect, an embodiment of the present application provides a facial recognition system with an alarm function, comprising:

[0006] server;

[0007] The user end is connected to the server and is used to upload the first biometric information to the server for storage;

[0008] A sampler connected to the server, used for acquiring the second biological information and uploading the second biological information to the server;

[0009] The user end includes an alarm configured to operate when the second biometric information matches the first biometric information.

[0010] According to an embodiment of the first aspect of the present application, the first biometric information and the second biometric information are facial features.

[0011] According to an embodiment of the first aspect of the present application, the user terminal is connected to the server via a network; and / or the sampler is connected to the server via a network.

[0012] According to an embodiment of the first aspect of the present application, the server includes:

[0013] A first memory, connected to the user terminal and used to store the first biometric information;

[0014] The first comparator is connected to the first memory and is used for comparing the first biological information with the second biological information.

[0015] According to an embodiment of the first aspect of the present application, the sampler comprises:

[0016] A second memory, connected to the user terminal and used to store specific biometric information;

[0017] The second comparator is used for preliminarily screening the second biological information according to the specific biological information, and sending the screened second biological information to the server.

[0018] According to an embodiment of the first aspect of the present application, the first comparator adopts at least one of a recognition algorithm based on facial feature points, a recognition algorithm based on the entire facial image, a recognition algorithm based on a template, and an algorithm using a neural network for recognition;

[0019] The second comparator uses at least one of a recognition algorithm based on facial feature points, a recognition algorithm based on the entire facial image, a recognition algorithm based on a template, and an algorithm using a neural network for recognition.

[0020] According to an embodiment of the first aspect of the present application, the facial recognition algorithm used by the first comparator is different from the facial recognition algorithm used by the second comparator.

[0021] According to an embodiment of the first aspect of the present application, the second comparator is used to compare the acquired second biometric information with the specific biometric information stored in the second memory, and send the second biometric information to the server when the similarity is less than a preset threshold.

[0022] According to an embodiment of the first aspect of the present application, when the similarity between the second biological information and the specific biological information and the similarity between the second biological information and the first biological information are less than a difference threshold, the alarm is activated.

[0023] According to an embodiment of the first aspect of the present application, the sampler is a video camera or a camera.

[0024] The facial recognition system with alarm function provided by the embodiment of the present application brings at least the following beneficial effects:

[0025] By setting the user end to include an alarm, the server can compare the second biological information collected by the sampler with the first biological information pre-stored in the server, and then feedback an alarm to the user end based on the comparison result to remind the user end of the appearance location and time of the target person, remind relevant departments to take quick action, reduce the risk of the person to be hunted being transferred, and effectively improve the personnel tracking efficiency of relevant departments.

[0026] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 It is a structural block diagram of a facial recognition system with an alarm function provided in an embodiment of the first aspect of the present application.

[0029] The numbers in the accompanying drawings are as follows: 100, facial recognition system with alarm function; 10, server; 11, first memory; 12, first comparator; 20, user terminal; 21, alarm; 30, sampler; 31, second memory; 32, second comparator. DETAILED DESCRIPTION

[0030] The features and exemplary embodiments of various aspects of the application will be described in detail below. In the detailed description below, many specific details are proposed to provide a comprehensive understanding of the application. However, it is obvious to those skilled in the art that the application embodiment can be implemented when some details in these specific details are not needed. The following description of the embodiment is only for providing a better understanding of the application by illustrating the example of the application.

[0031] In the description of the present application, it should be understood that descriptions involving orientation, such as up, down, front, back, left, right, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the embodiments of the present application.

[0032] In the description of the embodiments of the present application, "several" means one or more, "more" means two or more, "greater than", "less than", "exceed", etc. are understood as not including the number itself, and "above", "below", "within", etc. are understood as including the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing technical features and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0033] In the description of the embodiments of the present application, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in this application based on the specific content of the technical solution.

[0034] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The embodiments will be described in detail below in conjunction with the accompanying drawings.

[0035] Figure 1 It is a structural block diagram of a facial recognition system with an alarm function provided in an embodiment of the first aspect of the present application.

[0036] like Figure 1 As shown, an embodiment of the present application provides a facial recognition system 100 with an alarm function, including a server 10, a user terminal 20 and a sampler 30. The user terminal 20 is connected to the server 10 and is used to upload the first biometric information to the server 10 for storage; the sampler 30 is connected to the server 10 and is used to obtain the second biometric information and upload the second biometric information to the server 10; the user terminal 20 includes an alarm 21, and the alarm 21 is configured to work when the second biometric information matches the first biometric information.

[0037] The server 10 is a core component of the facial recognition system 100 with an alarm function, and can be used to store the biometric information of the target person pre-transmitted by the user terminal 20 to the server 10, that is, to pre-store the first biometric information. At the same time, the server 10 also serves to compare the first biometric information with the second biometric information collected by the collector 30, so as to send a working signal to the alarm 21 when the second biometric information matches the first biometric information, so as to achieve the purpose of controlling the alarm 21 to work.

[0038] There may be multiple user terminals 20, and all of the multiple user terminals 20 are connected to the server 10. The user terminals 20 are used to allow users to edit the biometric information (i.e., first biometric information) of the target person, upload the first biometric information to the server 10 for storage, and obtain the work instructions issued by the server 10 to quickly obtain the location and time of the target person's appearance.

[0039] For example, in some embodiments, the user terminal 20 can be set as at least one of a desktop computer, a mobile phone, a tablet computer, and a laptop computer. The user terminal 20 can be set in the offices of relevant departments across the country, and the relevant departments in various places can store multiple first biometric information in the server 10 by uploading the first biometric information of the target person to the server 10. At the same time, the server 10 can also compare the second biometric information collected by the collector 30 with the first biometric information stored in the server 10, and send the comparison result to the corresponding relevant department to notify the relevant department to take action.

[0040] The function of the sampler 30 is to obtain a sample of a person. For example, in some embodiments, the sampler 30 can be set at the ticket gate of an airport, a railway station, or a bus station to accurately obtain sample information (i.e., the second biometric information) of each person passing through. After uploading the second biometric information to the server 10 for comparison, if the server 10 does not find any suspicious target person, the second biometric information cached in the server 10 can be deleted to reduce the load of the server 100 and improve the reliability of the facial recognition system 100 with an alarm function.

[0041] In these embodiments of the present application, by setting the sampler 30 at the ticket gates of airports, railway stations, and bus stations, since people need to remove facial decorations or obstructions when passing through these locations, the effect of seamlessly obtaining the true second biometric information of the sample person can be achieved, and the distortion of the second biometric information caused by obstruction of the sample person's face is reduced, and reliability is improved.

[0042] In some embodiments, the user terminal 20 is connected to the server 10, and the sampler 30 is connected to the server 10, which means that the user terminal 20 and the server 10, and the sampler 30 and the server 10 communicate by means of a communication connection.

[0043] Exemplarily, in some embodiments, the user terminal 20 and the sampler 30 can be arranged to be connected to the server 10 via a network connection method such as WIFI, Bluetooth, 3G, 4G, or 5G.

[0044] The function of the alarm 21 is to provide a reminder. For example, in some embodiments, the alarm 21 can be set as a buzzer; in some embodiments, the alarm 21 can also be set to use a computer pop-up window, a mobile phone text message, etc. to serve as a reminder, and this application does not limit this.

[0045] The second biometric information matches the first biometric information, which means that the second biometric information matches the first biometric information to a high degree, that is, the sample person matches the target person's features stored in the server 10. Exemplarily, in some embodiments, the first biometric information and the second biometric information can be set as image or video stream information, and the comparison between the second biometric information and the first biometric information can be performed by judging pupil pattern, eye shape, eye distance, eyebrow bone height, nose bone height, cheekbone height, hair length, hair color, etc.

[0046] In these embodiments of the present application, the comparison between the first biological information and the second biological information can be achieved by using existing image analysis technology, which will not be described in detail here.

[0047] According to the facial recognition system 100 with an alarm function provided in the embodiment of the present application, by setting the user terminal 20 to include an alarm 21, after the server 10 compares the second biological information collected by the sampler 30 with the first biological information pre-stored in the server 10, an alarm can be fed back to the user terminal 20 according to the comparison result, reminding the user terminal 20 of the appearance location and time of the target person, reminding the relevant departments to take quick action, reducing the risk of the person to be hunted being transferred, and effectively improving the personnel tracking efficiency of the relevant departments.

[0048] According to an embodiment of the first aspect of the present application, the first biometric information and the second biometric information are facial features.

[0049] In these embodiments of the present application, the first biometric information and the second biometric information may be set as facial features, that is, the first biometric information and the second biometric information are transmitted in the form of data rather than image information.

[0050] Exemplarily, at the user end 20, the relevant department can convert the preset first biometric information (in this case, a picture or video) into digital information through image analysis technology through the user end 20, and then upload it to the server 10 for storage, which can reduce the storage space occupied by the first biometric information and improve the reliability of the server 10; accordingly, at the sampler 30 end, the second biometric information (in this case, a picture or video) can also be converted into digital information through image analysis technology and then uploaded to the server 10, so as to further reduce the storage space pressure of the server 10, reduce the workload of the server 10, and improve the work efficiency of the server 10.

[0051] According to an embodiment of the first aspect of the present application, the user terminal 20 is connected to the server 10 via a network; and / or the sampler 30 is connected to the server 10 via a network.

[0052] According to an embodiment of the first aspect of the present application, the server 10 includes a first memory 11 and a first comparator 12. The first memory 11 is connected to the user terminal 20 and is used to store the first biometric information; the first comparator 12 is connected to the first memory 11 and is used to compare the first biometric information with the second biometric information.

[0053] The first memory 11 is used to store the first biometric information. The first memory 11 is connected to the user terminal 20 to obtain the first biometric information uploaded by the user terminal 20 and store the first biometric information in the first memory 11 .

[0054] The first comparator 12 is connected to the first memory 11, and its function is to facilitate the first comparator 12 to export and compare the first biometric information stored in the first memory 11. The first comparator 12 is used to compare the second biometric information obtained by the sampler 30 with the pre-stored first biometric information to obtain the difference between the second biometric information and the first biometric information. When the difference between the second biometric information and the first biometric information is small, the second biometric information is the target person.

[0055] It should be noted that in these embodiments of the present application, the second biometric information should be the facial features of multiple different persons. After collecting the facial features of a sufficient number of persons, the sampler 30 packages the facial features of the multiple persons and sends them to the server 10. On the server 10 side, the server 10 decompresses the packaged facial features of the multiple persons sent by the sampler 30, and compares the facial features of each person with the first biometric information pre-stored in the first memory 11 one by one.

[0056] According to an embodiment of the first aspect of the present application, the sampler 30 includes a second memory 31 and a second comparator 32. The second memory 31 is connected to the user terminal 20 and is used to store specific biometric information; the second comparator 32 is used to preliminarily screen the second biometric information based on the specific biometric information, and send the screened second biometric information to the server 10.

[0057] The second storage 31 is connected to the user terminal 20 , which means that the second storage 31 can also be connected to different user terminals 20 to specifically narrow the screening scope of the target person.

[0058] In these embodiments of the present application, specific biometric information (i.e., the appearance features of the target person edited by the user terminal) can be stored in the second memory 31 by connecting the user terminal 20 to the second memory 31. Since the second memory 31 is set in the sampler 30, targeted investigation can be carried out.

[0059] For example, in some embodiments, if the relevant department investigates that a target person may appear in a certain place, the relevant department can edit the biometric information of the target person into specific biometric information through the client 20, and send it to the sampler 30 at the place for storage through the client 20. In this way, in the sampler 30 at the place, all sample persons appearing at the place can be screened in advance, and the biometric information of the screened suspicious persons can be uploaded to the server 10 as the second biometric information.

[0060] This setting method adds a screening process to the facial recognition system 100 with an alarm function, and uploads the screened second biometric information to the server 10, which can reduce the data size of the second biometric information, further reduce the cache pressure of the server 10, and improve the reliability of the normal operation of the server 10.

[0061] According to an embodiment of the first aspect of the present application, the first comparator 12 adopts at least one of a recognition algorithm based on facial feature points (Feature-based recognition algorithms), a recognition algorithm based on the entire facial image (Appearance-based recognition algorithms), a recognition algorithm based on a template (Template-basedrecognition algorithms) and a recognition algorithm using a neural network (Recognition algorithmsusing neural network);

[0062] The second comparator 32 adopts at least one of a recognition algorithm based on facial feature points (Feature-based recognition algorithms), a recognition algorithm based on the entire facial image (Appearance-based recognition algorithms), a recognition algorithm based on a template (Template-basedrecognition algorithms) and a recognition algorithm using a neural network (Recognition algorithms using neural network).

[0063] In these embodiments of the present application, by setting the first comparator 12 and the second comparator 32 to use at least one facial recognition algorithm for facial recognition, the facial recognition accuracy of the first comparator 12 and the second comparator 32 can be improved, and the reliability of the facial recognition system 100 with an alarm function can be further improved.

[0064] According to an embodiment of the first aspect of the present application, the facial recognition algorithm used by the first comparator 12 is different from the facial recognition algorithm used by the second comparator 32 .

[0065] In these embodiments of the present application, the facial recognition algorithm used by the first comparator 12 is set to be different from the facial recognition algorithm used by the second comparator 32, that is, the first comparator 12 and the second comparator 32 are controlled to use different facial recognition algorithms to compare the first biometric information and the second biometric information, so as to further improve the reliability and accuracy of the comparison, reduce the data distortion that may occur when the first comparator 12 and the second comparator 32 use the same algorithm, and further improve the reliability of the facial recognition system 100 with an alarm function.

[0066] According to an embodiment of the first aspect of the present application, the second comparator 32 is used to compare the acquired second biometric information with the specific biometric information stored in the second memory 31, and send the second biometric information to the server 10 when the similarity is less than a preset threshold.

[0067] According to an embodiment of the first aspect of the present application, when the comparison similarity between the second biological information and the specific biological information and the comparison similarity between the second biological information and the first biological information are less than a difference threshold, the alarm 21 is activated.

[0068] In these embodiments of the present application, by setting the comparison similarity between the second biometric information and the specific biometric information and the comparison similarity between the second biometric information and the first biometric information to be less than the difference threshold, the alarm 21 works, that is, the first comparator 12 and the second comparator 32 both judge that the sample person matches the appearance features of a person in the first biometric information. At this time, the alarm 21 works to remind the relevant departments to take action, which can improve the accuracy of capturing the person to be hunted and reduce the risk of miscapture or missed capture.

[0069] According to an embodiment of the first aspect of the present application, the sampler 30 is a video camera or a camera.

[0070] The above are only specific implementations of the embodiments of the present application, but the protection scope of the embodiments of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the embodiments of the present application, and these modifications or replacements should be included in the protection scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be based on the protection scope of the claims.

Claims

1. A facial recognition system with an alarm function, characterized in that: include: server; A user terminal connected to the server and used to upload the first biometric information to the server for storage; a sampler connected to the server, used to obtain second biological information, and upload the second biological information to the server; The user terminal includes an alarm configured to operate when the second biometric information matches the first biometric information.

2. The facial recognition system with alarm function according to claim 1, characterized in that: The first biological information and the second biological information are facial features.

3. The facial recognition system with alarm function according to claim 1, characterized in that: The user terminal is connected to the server via a network; and / or the sampler is connected to the server via a network.

4. The facial recognition system with alarm function according to claim 1, characterized in that: The server comprises: A first memory, connected to the user terminal and used to store the first biometric information; The first comparator is connected to the first memory and is used for comparing the first biological information with the second biological information.

5. The facial recognition system with alarm function according to claim 4, characterized in that: The sampler comprises: A second memory, connected to the user terminal and used to store specific biometric information; The second comparator is used for preliminarily screening the second biological information according to the specific biological information, and sending the screened second biological information to the server.

6. The facial recognition system with alarm function according to claim 5, characterized in that: The first comparator uses at least one of a recognition algorithm based on facial feature points, a recognition algorithm based on the entire facial image, a recognition algorithm based on a template, and an algorithm using a neural network for recognition; The second comparator adopts at least one of a recognition algorithm based on facial feature points, a recognition algorithm based on the entire facial image, a recognition algorithm based on a template, and an algorithm using a neural network for recognition.

7. The facial recognition system with alarm function according to claim 6, characterized in that: The facial recognition algorithm used by the first comparator is different from the facial recognition algorithm used by the second comparator.

8. The facial recognition system with alarm function according to claim 5, characterized in that: The second comparer is used to compare the acquired second biometric information with the specific biometric information stored in the second memory, and send the second biometric information to the server when the similarity is less than a preset threshold.

9. The facial recognition system with alarm function according to claim 5, characterized in that: When the comparison similarity between the second biological information and the specific biological information and the comparison similarity between the second biological information and the first biological information are smaller than a difference threshold, the alarm is activated.

10. The facial recognition system with alarm function according to claim 1, characterized in that: The sampler is a video camera or a camera.

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