Monitoring system based on intelligent door lock and intelligent door lock

Abstract

The invention provides a monitoring system based on an intelligent door lock and the intelligent door lock, and the system comprises a personnel detection module which is used for carrying out the dynamic detection of a monitored region in front of a door based on the intelligent door lock, and synchronously starting a multi-class sensor to obtain the multi-class attribute information and operation behavior data of a person approaching the door when the person approaches the door; the control module is used for carrying out identity verification on the approaching personnel based on the multi-category attribute information, carrying out unlocking and locking authorization control based on the operation behavior data after the verification is passed, and synchronously starting local and far-end early warning notifications when the verification is not passed; and the data recording module is used for carrying out real-time monitoring and recording on the door-front dynamic states of the area capable of being monitored in front of the door, and carrying out labeling and emergency storage on abnormal dynamic states in the door-front dynamic states based on the early warning notification. The reliability and accuracy of dynamic monitoring in front of the door through the intelligent door lock are improved, and comprehensive and efficient security experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment control and data processing, and in particular to a monitoring system based on a smart door lock and the smart door lock. Background Art

[0002] At present, with the improvement of people's living standards and the emphasis on residential safety, smart door locks have been widely used;

[0003] However, existing smart door locks have relatively limited functionality. Furthermore, while independent surveillance camera systems exist for home security monitoring, they lack deep integration with smart door locks. For example, when someone approaches the door, existing systems often fail to fully and intelligently monitor and respond to the situation at the door. This leads to security loopholes and prevents users from providing a more comprehensive and efficient security experience.

[0004] Therefore, in order to overcome the above-mentioned defects, the present invention provides a monitoring system based on a smart door lock and a smart door lock. Summary of the Invention

[0005] The present invention provides a monitoring system and a smart door lock based on a smart door lock, which are used to perform dynamic detection of a monitorable area in front of a door through the smart door lock, so that when it is detected that a person is approaching, the multi-category attribute information and operation behavior data of the approaching person are effectively obtained in time. Secondly, the identity of the approaching person is verified by the obtained multi-category attribute information to ensure that the approaching person is a trustworthy person, so that after the verification is passed, accurate and reliable switch lock authorization control is performed according to the operation behavior data. At the same time, when the verification fails, both local and remote early warning notifications are performed simultaneously, so as to facilitate timely notification of abnormal situations, thereby improving the safety factor. Finally, the door dynamics in the monitorable area in front of the door are monitored and recorded in real time, and the abnormal dynamics in the door dynamics are marked and urgently saved, so that the user can timely understand the abnormal situation of the door dynamics, thereby improving the reliability and accuracy of the door dynamic monitoring through the smart door lock, and enhancing the comprehensive and efficient security experience.

[0006] The present invention provides a monitoring system based on an intelligent door lock, comprising:

[0007] The personnel detection module is used to dynamically detect the monitorable area in front of the door based on the smart door lock. When a person approaches, it simultaneously activates multiple categories of sensors to obtain multi-category attribute information and operation behavior data of the person approaching.

[0008] The control module is used to verify the identity of the person approaching based on multi-category attribute information, and after the verification is passed, it controls the lock opening and closing authorization based on the operation behavior data. At the same time, if the verification fails, it will simultaneously initiate local and remote warning notifications;

[0009] The data recording module is used to monitor and record the dynamics in front of the door in the monitorable area in real time, and mark and urgently save abnormal dynamics in the dynamics in front of the door based on early warning notifications.

[0010] Preferably, a monitoring system based on a smart door lock, a personnel detection module, includes:

[0011] a parameter determination unit, configured to obtain, based on the management terminal, monitoring requirements for the smart door lock and performance configuration parameters of the smart door lock, determine an effective monitoring radius of the smart door lock based on the performance configuration parameters, and, at the same time, modify the effective monitoring radius of the smart door lock based on the monitoring requirements to obtain an actual monitoring radius;

[0012] Dynamic detection unit for:

[0013] Configure the smart door lock based on the actual monitoring radius, and obtain the monitorable area in front of the door based on the configuration result;

[0014] Real-time dynamic detection of the monitorable area in front of the door is performed based on the smart door lock.

[0015] Preferably, a monitoring system based on a smart door lock, a personnel detection module, includes:

[0016] The personnel detection unit is used to obtain the dynamic detection results of the smart door lock on the monitorable area in front of the door, and when a person is detected entering the monitorable area, it determines that there is a person approaching;

[0017] Sensor activation unit for:

[0018] Determine the ambient light of the monitorable area in front of the door based on the determination result, and when the ambient light is lower than a preset threshold, perform adaptive intensity fill light on the monitorable area in front of the door based on the difference between the ambient light and the preset threshold;

[0019] Based on the adaptive intensity fill light results, multiple types of sensors in the smart door lock are synchronously activated, and based on the synchronous activation results, each type of sensor is controlled to perform corresponding detection services for approaching people;

[0020] The data acquisition unit is used to collect corresponding business data according to multiple categories of sensors based on the control results, and obtain multiple categories of attribute information and operation behavior data close to the personnel based on the collection results.

[0021] Preferably, a monitoring system based on a smart door lock, a data acquisition unit, includes:

[0022] Based on the real-time communication routing between multi-category sensors and the main control center in the smart door lock, the obtained multi-category attribute information and operation behavior data are fed back to the main control center;

[0023] Determining the data source of each category of attribute information in the multi-category attribute information based on the main control center, and classifying the multi-category attribute information based on the data source;

[0024] The classification results and the operational behavior data of people close to the person are classified and cached in the main control center, and the queue processing mechanism of the main control center is started based on the classification cache results.

[0025] Preferably, a monitoring system based on a smart door lock, a control module, includes:

[0026] An appearance image updating unit is used to dynamically obtain the appearance image characteristics of the authorized user based on the active posture acquisition mechanism in the smart door lock, and dynamically update the user appearance image in the identity verification database based on the dynamically obtained appearance image characteristics;

[0027] Identity verification unit, used to:

[0028] The obtained multi-category attribute information is obtained, and the multi-category attribute information is split, and the verification queue of the different categories of attribute information is sorted based on the category information verification priority of the smart door lock;

[0029] Obtain the real-time appearance image of the person nearby based on the verification queue sorting results, and match the real-time appearance image with the latest user appearance image in the identity verification database one by one;

[0030] Based on the key point matching results, the matching rate between the real-time appearance image and the user's appearance image in the identity verification database is determined, and when the matching rate reaches the preset pass rate, the appearance image verification is determined to have passed;

[0031] Extracting facial images of the person close to the verification queue based on the determination result and distinguishing the facial images of the person close to the front and the side;

[0032] Based on the differentiation results, grayscale processing and size normalization processing are performed on the frontal facial image and the side facial image respectively, and based on the processing results, key facial features in the frontal facial image and the side facial image are located and texture features are extracted respectively;

[0033] Generate a facial feature vector of the person close to you based on the positioning results and the extracted texture features, and extract a reference facial feature vector of the object's facial data corresponding to the user's appearance from the identity verification database;

[0034] Calculating a first similarity between the facial feature vector of the person approaching and the reference facial feature vector, and determining that the facial verification is successful when the first similarity reaches a first preset similarity;

[0035] Based on the judgment result and the verification queue sorting result, the voice data of the person nearby is extracted, and the voice data is processed to extract the timbre and voice habits of the person nearby;

[0036] Extracting the recorded voice corresponding to the user's appearance from the identity verification database, and performing a second similarity calculation between the recorded voice and the timbre and voice habits of the nearby person, and determining that the voice verification is passed when the second similarity reaches a second preset similarity;

[0037] The verification process is monitored in real time based on the verification queue sorting, and when the category attribute information of the current position fails to pass the verification, the verification process of the verification queue sorting is jumped out, and the verification process is terminated based on the jump result;

[0038] Switch lock control unit for:

[0039] At the same time, after the verification queue sorting is verified, the user's required lock-on / lock behavior category is determined based on the operation behavior data, and the smart door lock is authorized based on the required lock-on / lock behavior category;

[0040] The smart door lock is authorized to be opened and closed based on the authorization result.

[0041] Preferably, a monitoring system based on a smart door lock and a switch lock control unit includes:

[0042] The backend configuration subunit is used to monitor the user's backend login request in real time, and after the user successfully logs in, monitor the authorization objects added by the user to the smart door lock in the background and the set of allowable lock opening and closing methods added to each authorization object;

[0043] The switch lock control subunit is used for:

[0044] Real-time acquisition of historical lock-opening and closing behavior data of different authorized subjects within a target time period, and determination of the authorized subjects' preferences for different permissible lock-opening and closing methods in a set of permissible lock-opening and closing methods based on the historical lock-opening and closing behavior data;

[0045] Prioritize different permissible lock opening and closing methods for different authorized objects based on the descending order of preference, and generate lock opening and closing prompts for different authorized objects based on the priority ranking results;

[0046] Based on the lock switch prompt result, the corresponding allowable lock switch method is pre-started synchronously to perform lock switch verification, and the lock switch operation is executed after the lock switch verification passes.

[0047] Preferably, a monitoring system based on a smart door lock, a control module, includes:

[0048] The response unit is used to monitor the length of time the approaching person stays in the monitorable area in front of the door when the identity verification of the approaching person fails, and to activate the local terminal to issue a first warning notification when the length of stay meets the preset conditions;

[0049] Remote warning unit, used for:

[0050] Based on the first warning notification result, the behavior dynamics of the nearby person are obtained in real time, and when the nearby person touches the smart door lock, the local terminal is activated to issue a second warning notification;

[0051] At the same time, the movement trajectory and behavior of the person approaching the door in the monitorable area are tracked and monitored to obtain the continuous action sequence of the person approaching.

[0052] The continuous action sequence close to the person is synchronously transmitted to the remote user smart terminal in real time for a third warning, and a strong warning notification is issued to the remote user smart terminal based on the third warning, and the continuous action sequence is visually displayed at the same frequency on the remote user smart terminal.

[0053] The present invention provides an intelligent door lock, comprising: a computer program stored in the intelligent door lock for executing the monitoring system based on the intelligent door lock.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] Through the smart door lock, dynamic detection is performed on the monitorable area in front of the door, so that when the presence of a person is detected, the multi-category attribute information and operation behavior data of the approaching person can be effectively obtained in a timely manner. Secondly, the identity of the approaching person is verified through the obtained multi-category attribute information to ensure that the approaching person is a trustworthy person, so that after the verification is passed, accurate and reliable lock opening and closing authorization control can be achieved based on the operation behavior data. At the same time, when the verification fails, both local and remote early warning notifications are made simultaneously, so that abnormal situations can be notified in time, thereby improving the safety factor. Finally, the door dynamics in the monitorable area in front of the door are monitored and recorded in real time, and abnormal dynamics in the door dynamics are marked and urgently saved, so that users can timely understand the abnormal situation of the door dynamics, thereby improving the reliability and accuracy of the door dynamic monitoring through smart door locks, and enhancing the comprehensive and efficient security experience.

[0056] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0057] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0059] Figure 1 This is a structural diagram of a monitoring system based on a smart door lock in an embodiment of the present invention;

[0060] Figure 2 This is a structural diagram of a personnel detection module in a monitoring system based on a smart door lock in Example 2 of the present invention;

[0061] Figure 3 This is a structural diagram of a control module in a monitoring system based on a smart door lock in Example 5 of the present invention. DETAILED DESCRIPTION

[0062] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0063] Example 1:

[0064] This embodiment provides a monitoring system based on smart door locks, such as Figure 1 Shown, including:

[0065] The personnel detection module is used to dynamically detect the monitorable area in front of the door based on the smart door lock. When a person approaches, it simultaneously activates multiple categories of sensors to obtain multi-category attribute information and operation behavior data of the person approaching.

[0066] The control module is used to verify the identity of the person approaching based on multi-category attribute information, and after the verification is passed, it controls the lock opening and closing authorization based on the operation behavior data. At the same time, if the verification fails, it will simultaneously initiate local and remote warning notifications;

[0067] The data recording module is used to monitor and record the dynamics in front of the door in the monitorable area in real time, and mark and urgently save abnormal dynamics in the dynamics in front of the door based on early warning notifications.

[0068] In this embodiment, the monitorable area in front of the door refers to the effective monitoring area of ​​the smart door lock, that is, the monitoring range corresponding to the smart door lock.

[0069] In this embodiment, the multiple categories of sensors include cameras, sound sensors, infrared sensors, etc.

[0070] In this embodiment, the multi-category attribute information refers to facial information, voice information, and appearance and posture of the nearby person.

[0071] In this embodiment, the operation behavior data refers to the action performed by the person close to the smart door lock, such as facial recognition or fingerprint recognition.

[0072] In this embodiment, identity verification refers to verifying the identity of the person approaching, that is, verifying whether the person approaching can open or close the smart door lock.

[0073] In this embodiment, the lock opening and closing authorization control refers to controlling the smart door lock to perform a corresponding unlocking or locking action based on the operating behavior data of the approaching person (the lock opening and closing action of the smart door lock) after the identity of the approaching person is verified.

[0074] In this embodiment, the remote end refers to the user's mobile terminal.

[0075] In this embodiment, local refers to a smart door lock.

[0076] In this embodiment, the door front dynamics refers to the activities of people in front of the smart door lock.

[0077] The working principle and beneficial effects of the above technical solution are: dynamic detection of the monitorable area in front of the door is performed through the smart door lock, so that when the presence of a person approaching is detected, the multi-category attribute information and operation behavior data of the approaching person are effectively obtained in time. Secondly, the identity of the approaching person is verified through the obtained multi-category attribute information to ensure that the approaching person is a trustworthy person, so that after the verification is passed, accurate and reliable lock opening and closing authorization control is achieved according to the operation behavior data. At the same time, when the verification fails, both local and remote early warning notifications are made at the same time, so as to facilitate timely notification of abnormal situations, thereby improving the safety factor. Finally, the door dynamics in the monitorable area in front of the door are monitored and recorded in real time, and the abnormal dynamics in the door dynamics are marked and urgently saved, so that users can timely understand the abnormal situation of the door dynamics, improve the reliability and accuracy of the door dynamic monitoring through smart door locks, and enhance the comprehensive and efficient security experience.

[0078] Example 2:

[0079] Based on Example 1, this embodiment provides a monitoring system based on a smart door lock, such as Figure 2 As shown, the personnel detection module includes:

[0080] a parameter determination unit, configured to obtain, based on the management terminal, monitoring requirements for the smart door lock and performance configuration parameters of the smart door lock, determine an effective monitoring radius of the smart door lock based on the performance configuration parameters, and, at the same time, modify the effective monitoring radius of the smart door lock based on the monitoring requirements to obtain an actual monitoring radius;

[0081] Dynamic detection unit for:

[0082] Configure the smart door lock based on the actual monitoring radius, and obtain the monitorable area in front of the door based on the configuration result;

[0083] Real-time dynamic detection of the monitorable area in front of the door is performed based on the smart door lock.

[0084] In this embodiment, the monitoring requirements refer to the monitoring items for monitoring the smart door lock and information such as the monitoring requirements corresponding to each monitoring item.

[0085] In this embodiment, the performance configuration parameters refer to the operating parameter information of the smart door lock itself, including the monitoring range of the smart door lock, etc.

[0086] The beneficial effect of the above technical solution is: by analyzing the monitoring requirements and the performance configuration parameters of the smart door lock, the actual monitoring radius of the smart door lock is determined, and the smart door lock is configured according to the determined actual monitoring radius, thereby realizing real-time dynamic detection of the monitorable area in front of the door through the smart door lock, ensuring the reliability and accuracy of dynamic monitoring in front of the door.

[0087] Example 3:

[0088] Based on Example 1, this embodiment provides a monitoring system based on a smart door lock, a personnel detection module, including:

[0089] The personnel detection unit is used to obtain the dynamic detection results of the smart door lock on the monitorable area in front of the door, and when a person is detected entering the monitorable area, it determines that there is a person approaching;

[0090] Sensor activation unit for:

[0091] Determine the ambient light of the monitorable area in front of the door based on the determination result, and when the ambient light is lower than a preset threshold, perform adaptive intensity fill light on the monitorable area in front of the door based on the difference between the ambient light and the preset threshold;

[0092] Based on the adaptive intensity fill light results, multiple types of sensors in the smart door lock are synchronously activated, and based on the synchronous activation results, each type of sensor is controlled to perform corresponding detection services for approaching people;

[0093] The data acquisition unit is used to collect corresponding business data according to multiple categories of sensors based on the control results, and obtain multiple categories of attribute information and operation behavior data close to the personnel based on the collection results.

[0094] In this embodiment, the ambient light refers to the intensity of the ambient light in the monitorable area in front of the door.

[0095] In this embodiment, the preset threshold is set in advance and is used as a reference for measuring whether the ambient light in the monitorable area in front of the door needs to start the adaptive intensity fill light operation, and can be adjusted.

[0096] In this embodiment, the adaptive intensity fill light refers to determining the intensity of the fill light required for the monitorable area in front of the door according to the difference between the ambient light and a preset threshold.

[0097] In this embodiment, the detection service refers to the detection tasks corresponding to different sensors, including face recognition detection, voice recognition detection, and fingerprint recognition detection.

[0098] The beneficial effects of the above technical solution are: by determining the ambient light in the monitorable area in front of the door, when the ambient light does not meet the preset threshold, the monitorable area in front of the door is adaptively filled with light of an intensity, thereby ensuring the clarity of monitoring and improving energy utilization. Finally, under the adaptive intensity fill light, corresponding detection services are performed separately by multiple categories of sensors, thereby realizing accurate and effective determination of multiple categories of attribute information and operation behavior data close to the person.

[0099] Example 4:

[0100] Based on Example 3, this embodiment provides a monitoring system based on a smart door lock, wherein the data acquisition unit includes:

[0101] Based on the real-time communication routing between multi-category sensors and the main control center in the smart door lock, the obtained multi-category attribute information and operation behavior data are fed back to the main control center;

[0102] Determining the data source of each category of attribute information in the multi-category attribute information based on the main control center, and classifying the multi-category attribute information based on the data source;

[0103] The classification results and the operational behavior data of people close to the person are classified and cached in the main control center, and the queue processing mechanism of the main control center is started based on the classification cache results.

[0104] In this embodiment, the data source refers to the data source corresponding to different categories of attribute information.

[0105] In this embodiment, the queue processing mechanism is set in advance and is used to queue the data to be processed, so as to achieve the purpose of sequential processing.

[0106] The beneficial effect of the above technical solution is: by feeding back the obtained multi-category attribute information and operation behavior data to the main control center, the multi-category attribute information can be classified and cached in the main control center, and a corresponding queue processing mechanism can be implemented, thereby facilitating the determination of the specific situation of the monitorable area in front of the door, thereby ensuring the reliability of smart door lock monitoring.

[0107] Example 5:

[0108] Based on Example 1, this embodiment provides a monitoring system based on a smart door lock, such as Figure 3 As shown, the control module includes:

[0109] An appearance image updating unit is used to dynamically obtain the appearance image characteristics of the authorized user based on the active posture acquisition mechanism in the smart door lock, and dynamically update the user appearance image in the identity verification database based on the dynamically obtained appearance image characteristics;

[0110] Identity verification unit, used to:

[0111] The obtained multi-category attribute information is obtained, and the multi-category attribute information is split, and the verification queue of the different categories of attribute information is sorted based on the category information verification priority of the smart door lock;

[0112] Obtain the real-time appearance image of the person nearby based on the verification queue sorting results, and match the real-time appearance image with the latest user appearance image in the identity verification database one by one;

[0113] Based on the key point matching results, the matching rate between the real-time appearance image and the user's appearance image in the identity verification database is determined, and when the matching rate reaches the preset pass rate, the appearance image verification is determined to have passed;

[0114] Extracting facial images of the person close to the verification queue based on the determination result and distinguishing the facial images of the person close to the front and the side;

[0115] Based on the differentiation results, grayscale processing and size normalization processing are performed on the frontal facial image and the side facial image respectively, and based on the processing results, key facial features in the frontal facial image and the side facial image are located and texture features are extracted respectively;

[0116] Generate a facial feature vector of the person close to you based on the positioning results and the extracted texture features, and extract a reference facial feature vector of the object's facial data corresponding to the user's appearance from the identity verification database;

[0117] Calculating a first similarity between the facial feature vector of the person approaching and the reference facial feature vector, and determining that the facial verification is successful when the first similarity reaches a first preset similarity;

[0118] Based on the judgment result and the verification queue sorting result, the voice data of the person nearby is extracted, and the voice data is processed to extract the timbre and voice habits of the person nearby;

[0119] Extracting the recorded voice corresponding to the user's appearance from the identity verification database, and performing a second similarity calculation between the recorded voice and the timbre and voice habits of the nearby person, and determining that the voice verification is passed when the second similarity reaches a second preset similarity;

[0120] The verification process is monitored in real time based on the verification queue sorting, and when the category attribute information of the current position fails to pass the verification, the verification process of the verification queue sorting is jumped out, and the verification process is terminated based on the jump result;

[0121] Switch lock control unit for:

[0122] At the same time, after the verification queue sorting is verified, the user's required lock-on / lock behavior category is determined based on the operation behavior data, and the smart door lock is authorized based on the required lock-on / lock behavior category;

[0123] The smart door lock is authorized to be opened and closed based on the authorization result.

[0124] In this embodiment, the active posture acquisition mechanism is set in advance, that is, when a user approaches the smart door lock, the user's appearance characteristics will be actively acquired, where the appearance characteristics include the user's facial data and body posture.

[0125] In this embodiment, the identity verification library is pre-set and is used to store the appearance features of different authorized users.

[0126] In this embodiment, the category information verification priority is set in advance. For example, the verification priority of facial data may be higher than that of fingerprint, and the verification priority of fingerprint may be higher than that of voice.

[0127] In this embodiment, verification queue sorting refers to sorting the collected attribute information of different categories according to the verification priority of the category information, so as to achieve the purpose of orderly verification.

[0128] In this embodiment, the real-time appearance image refers to the appearance image of the user currently approaching the smart door lock.

[0129] In this embodiment, key point matching refers to matching the relevant parameter information of the real-time appearance image with the latest user appearance image in the identity verification database, in order to verify the authority of the currently approaching person.

[0130] In this embodiment, the preset pass rate is set in advance and is used to measure whether the matching rate reaches the minimum standard for verification pass.

[0131] In this embodiment, key facial features refer to key information that can represent facial information of a nearby person, such as features such as glasses, nose, and mouth.

[0132] In this embodiment, texture features refer to features such as shapes corresponding to key facial features.

[0133] In this embodiment, the reference facial feature vector refers to the specific vector information of the facial data corresponding to the user's appearance in the identity verification library, and its function is to verify whether the facial data of the current user can pass the verification.

[0134] In this embodiment, the first preset similarity and the second similarity are set in advance.

[0135] In this embodiment, the voice habit refers to the way of speaking and the way of language expression of the person nearby.

[0136] The beneficial effects of the above technical solution are: the appearance image characteristics of the authorized user are obtained through the active posture acquisition mechanism, which provides a reference basis for user identity verification; secondly, the obtained multi-category attribute information is sorted in the verification queue, and the multi-category attribute information is matched and verified with the user appearance image data entered in the identity verification library in turn according to the verification queue sorting results; and after the multi-category attribute information is verified, the user's required lock-opening and locking behavior category is determined through the operation behavior data; finally, the smart door lock is authorized to be controlled according to the determined required lock-opening and locking behavior category, ensuring the accuracy and reliability of the smart door lock control.

[0137] Example 6:

[0138] Based on Example 5, this embodiment provides a monitoring system based on a smart door lock, a switch lock control unit, including:

[0139] The backend configuration subunit is used to monitor the user's backend login request in real time, and after the user successfully logs in, monitor the authorization objects added by the user to the smart door lock in the background and the set of allowable lock opening and closing methods added to each authorization object;

[0140] The switch lock control subunit is used for:

[0141] Real-time acquisition of historical lock-opening and closing behavior data of different authorized subjects within a target time period, and determination of the authorized subjects' preferences for different permissible lock-opening and closing methods in a set of permissible lock-opening and closing methods based on the historical lock-opening and closing behavior data;

[0142] Prioritize different permissible lock opening and closing methods for different authorized objects based on the descending order of preference, and generate lock opening and closing prompts for different authorized objects based on the priority ranking results;

[0143] Based on the lock switch prompt result, the corresponding allowable lock switch method is pre-started synchronously to perform lock switch verification, and the lock switch operation is executed after the lock switch verification passes.

[0144] In this embodiment, the set of allowable lock opening and closing modes refers to the lock opening and closing modes assigned to different authorized objects in the background of the smart door lock, for example, only fingerprint unlocking is allowed.

[0145] In this embodiment, the preference level refers to the degree to which the authorized person likes different unlocking methods.

[0146] In this embodiment, based on the lock switch prompt result, the corresponding allowable lock switch method is pre-started for lock switch verification. This means that when the user prefers to unlock with the face, when the user approaches the smart door lock, the face unlocking level will be activated first to verify the user's lock switch.

[0147] The beneficial effect of the above technical solution is: by analyzing the set of allowable lock opening and closing methods of the authorized object, the degree of preference of the authorized object for different allowable lock opening and closing methods can be determined, and a lock opening and closing prompt for the authorized object is generated according to the degree of preference, so that when the authorized object approaches the smart door lock, the preferred unlocking method is preferentially used for unlocking verification.

[0148] Example 7:

[0149] Based on Example 1, this embodiment provides a monitoring system based on a smart door lock, and a control module, including:

[0150] The response unit is used to monitor the length of time the approaching person stays in the monitorable area in front of the door when the identity verification of the approaching person fails, and to activate the local terminal to issue a first warning notification when the length of stay meets the preset conditions;

[0151] Remote warning unit, used for:

[0152] Based on the first warning notification result, the behavior dynamics of the nearby person are obtained in real time, and when the nearby person touches the smart door lock, the local terminal is activated to issue a second warning notification;

[0153] At the same time, the movement trajectory and behavior of the person approaching the door in the monitorable area are tracked and monitored to obtain the continuous action sequence of the person approaching.

[0154] The continuous action sequence close to the person is synchronously transmitted to the remote user smart terminal in real time for a third warning, and a strong warning notification is issued to the remote user smart terminal based on the third warning, and the continuous action sequence is visually displayed at the same frequency on the remote user smart terminal.

[0155] In this embodiment, the preset condition is set in advance, for example, it may be ten minutes.

[0156] In this embodiment, the first warning notification refers to when the length of time a person approaches the door and stays in the monitorable area in front of the door reaches a preset condition and the identity verification fails, the smart door lock is controlled to issue a warning notification to remind the person to stay away.

[0157] In this embodiment, the second warning notification refers to when the person approaching does not move away after the first warning notification and performs a touch operation on the smart door lock, a corresponding warning operation is performed.

[0158] In this embodiment, the third warning refers to sending all actions performed by nearby personnel on the smart door lock to the user's smart terminal for warning.

[0159] The beneficial effect of the above technical solution is: by real-time monitoring of people approaching the monitorable area in front of the smart door lock, corresponding early warning notifications can be taken according to different situations, ensuring the comprehensiveness and reliability of the monitoring of the smart door lock.

[0160] Example 8:

[0161] Based on Example 1, this embodiment provides a monitoring system based on a smart door lock, and a data recording module, including:

[0162] The door front dynamic monitoring unit is used to obtain the real-time human activity information in the monitorable area in front of the door based on the smart door lock, and obtain the door front dynamics at different times based on the human activity information;

[0163] Recording unit for:

[0164] Determine the unit recording period for the doorstep dynamics based on regulatory requirements, and split the doorstep dynamics at different times into units based on the unit recording period to obtain a set of doorstep dynamic segments in each unit recording period;

[0165] Based on the time development sequence of the dynamics in front of the door, the door dynamic segment sets under different unit recording periods are sequentially associated, and the sequential association results are recorded.

[0166] In this embodiment, the regulatory requirements are known in advance and are used to represent the management standards for the dynamics at the gate.

[0167] In this embodiment, the unit recording period refers to the period for recording the dynamics in front of the door, for example, one week is one period.

[0168] The beneficial effects of the above technical solution are: by monitoring the activity information of personnel in the monitorable area in front of the door, the dynamics in front of the door at different times can be determined; secondly, the dynamics in front of the door can be managed according to regulatory requirements, and finally the real-time situation in the monitorable area in front of the door can be effectively understood.

[0169] Example 9:

[0170] Based on Example 1, this embodiment provides a monitoring system based on a smart door lock, and a data recording module, including:

[0171] An abnormal marking unit is used to lock abnormal dynamics in the dynamics in front of the door based on the early warning notification, and mark the abnormal dynamics in the dynamics in front of the door;

[0172] Emergency preservation unit for:

[0173] Add a lock mark to the abnormal dynamics based on the marking results, and back up the abnormal dynamics based on the added results;

[0174] At the same time, the abnormal dynamics are extracted, and the extracted abnormal dynamics and backup results are stored separately to complete the emergency preservation of the abnormal dynamics.

[0175] In this embodiment, the locking mark refers to locking the abnormal dynamics according to the marking result, that is, using a marking symbol to indicate that the current abnormal dynamics are locked.

[0176] The beneficial effect of the above technical solution is: by marking and locking abnormal dynamics and backing up abnormal dynamics, it is convenient to provide reliable data support when early warning analysis is required.

[0177] Example 10:

[0178] This embodiment provides a smart door lock, including: a computer program stored in the smart door lock, which is used to execute a monitoring system based on the smart door lock of embodiments 1-9.

[0179] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A monitoring system based on smart door locks, characterized in that: include: The personnel detection module is used to dynamically detect the monitorable area in front of the door based on the smart door lock. When a person approaches, it simultaneously activates multiple categories of sensors to obtain multi-category attribute information and operation behavior data of the person approaching. The control module is used to verify the identity of the person approaching based on multi-category attribute information, and after the verification is passed, it controls the lock opening and closing authorization based on the operation behavior data. At the same time, if the verification fails, it will simultaneously initiate local and remote warning notifications; The data recording module is used to monitor and record the dynamics in front of the door in the monitorable area in real time, and mark and urgently save abnormal dynamics in the dynamics in front of the door based on early warning notifications.

2. A monitoring system based on smart door lock according to claim 1, characterized in that: Personnel detection module, including: a parameter determination unit, configured to obtain, based on the management terminal, monitoring requirements for the smart door lock and performance configuration parameters of the smart door lock, determine an effective monitoring radius of the smart door lock based on the performance configuration parameters, and, at the same time, modify the effective monitoring radius of the smart door lock based on the monitoring requirements to obtain an actual monitoring radius; Dynamic detection unit for: Configure the smart door lock based on the actual monitoring radius, and obtain the monitorable area in front of the door based on the configuration result; Real-time dynamic detection of the monitorable area in front of the door is performed based on the smart door lock.

3. A monitoring system based on smart door lock according to claim 1, characterized in that: Personnel detection module, including: The personnel detection unit is used to obtain the dynamic detection results of the smart door lock on the monitorable area in front of the door, and when a person is detected entering the monitorable area, it determines that there is a person approaching; Sensor activation unit for: Determine the ambient light of the monitorable area in front of the door based on the determination result, and when the ambient light is lower than a preset threshold, perform adaptive intensity fill light on the monitorable area in front of the door based on the difference between the ambient light and the preset threshold; Based on the adaptive intensity fill light results, multiple types of sensors in the smart door lock are synchronously activated, and based on the synchronous activation results, each type of sensor is controlled to perform corresponding detection services for approaching people; The data acquisition unit is used to collect corresponding business data according to multiple categories of sensors based on the control results, and obtain multiple categories of attribute information and operation behavior data close to the personnel based on the collection results.

4. A monitoring system based on smart door lock according to claim 3, characterized in that: The data acquisition unit includes: Based on the real-time communication routing between multi-category sensors and the main control center in the smart door lock, the obtained multi-category attribute information and operation behavior data are fed back to the main control center; Determining the data source of each category of attribute information in the multi-category attribute information based on the main control center, and classifying the multi-category attribute information based on the data source; The classification results and the operational behavior data of people close to the person are classified and cached in the main control center, and the queue processing mechanism of the main control center is started based on the classification cache results.

5. The monitoring system based on smart door lock according to claim 1, characterized in that: Control module, including: An appearance image updating unit is used to dynamically obtain the appearance image characteristics of the authorized user based on the active posture acquisition mechanism in the smart door lock, and dynamically update the user appearance image in the identity verification database based on the dynamically obtained appearance image characteristics; Identity verification unit, used to: The obtained multi-category attribute information is obtained, and the multi-category attribute information is split, and the verification queue of the different categories of attribute information is sorted based on the category information verification priority of the smart door lock; Obtain the real-time appearance image of the person nearby based on the verification queue sorting results, and match the real-time appearance image with the latest user appearance image in the identity verification database one by one; Based on the key point matching results, the matching rate between the real-time appearance image and the user's appearance image in the identity verification database is determined, and when the matching rate reaches the preset pass rate, the appearance image verification is determined to have passed; Extracting facial images of the person close to the verification queue based on the determination result and distinguishing the facial images of the person close to the front and the side; Based on the differentiation results, grayscale processing and size normalization processing are performed on the frontal facial image and the side facial image respectively, and based on the processing results, key facial features in the frontal facial image and the side facial image are located and texture features are extracted respectively; Generate a facial feature vector of the person close to you based on the positioning results and the extracted texture features, and extract a reference facial feature vector of the object's facial data corresponding to the user's appearance from the identity verification database; Calculating a first similarity between the facial feature vector of the person approaching and the reference facial feature vector, and determining that the facial verification is successful when the first similarity reaches a first preset similarity; Based on the judgment result and the verification queue sorting result, the voice data of the person nearby is extracted, and the voice data is processed to extract the timbre and voice habits of the person nearby; Extracting the recorded voice corresponding to the user's appearance from the identity verification database, and performing a second similarity calculation between the recorded voice and the timbre and voice habits of the nearby person, and determining that the voice verification is passed when the second similarity reaches a second preset similarity; The verification process is monitored in real time based on the verification queue sorting, and when the category attribute information of the current position fails to pass the verification, the verification process of the verification queue sorting is jumped out, and the verification process is terminated based on the jump result; Switch lock control unit for: At the same time, after the verification queue sorting is verified, the user's required lock-on / lock behavior category is determined based on the operation behavior data, and the smart door lock is authorized based on the required lock-on / lock behavior category; The smart door lock is authorized to be opened and closed based on the authorization result.

6. A monitoring system based on smart door lock according to claim 5, characterized in that: Switch lock control unit, including: The backend configuration subunit is used to monitor the user's backend login request in real time, and after the user successfully logs in, monitor the authorization objects added by the user to the smart door lock in the background and the set of allowable lock opening and closing methods added to each authorization object; The switch lock control subunit is used for: Real-time acquisition of historical lock-opening and closing behavior data of different authorized subjects within a target time period, and determination of the authorized subjects' preferences for different permissible lock-opening and closing methods in a set of permissible lock-opening and closing methods based on the historical lock-opening and closing behavior data; Prioritize different permissible lock opening and closing methods for different authorized objects based on the descending order of preference, and generate lock opening and closing prompts for different authorized objects based on the priority ranking results; Based on the lock switch prompt result, the corresponding allowable lock switch method is pre-started synchronously to perform lock switch verification, and the lock switch operation is executed after the lock switch verification passes.

7. A monitoring system based on smart door lock according to claim 1, characterized in that: Control module, including: The response unit is used to monitor the length of time the approaching person stays in the monitorable area in front of the door when the identity verification of the approaching person fails, and to activate the local terminal to issue a first warning notification when the length of stay meets the preset conditions; Remote warning unit, used for: Based on the first warning notification result, the behavior dynamics of the nearby person are obtained in real time, and when the nearby person touches the smart door lock, the local terminal is activated to issue a second warning notification; At the same time, the movement trajectory and behavior of the person approaching the door in the monitorable area are tracked and monitored to obtain the continuous action sequence of the person approaching. The continuous action sequence close to the person is synchronously transmitted to the remote user smart terminal in real time for a third warning, and a strong warning notification is issued to the remote user smart terminal based on the third warning, and the continuous action sequence is visually displayed at the same frequency on the remote user smart terminal.

8. A smart door lock, characterized in that: include: A computer program is stored in the smart door lock for executing the monitoring system based on the smart door lock according to claims 1-7.

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