Intelligent cabinet for storing high-value consumables based on pattern recognition and Internet of Things technology

Abstract

The invention belongs to the field of medical equipment management and intelligent systems, and particularly relates to an intelligent cabinet for storing high-value consumables based on pattern recognition and the Internet of Things technology. An intelligent control system is adopted and comprises an identity recognition module, a cabinet door control module, a consumable statistics module, a data storage module and the like. Through the face recognition device, information input, cabinet door control and the like, an operator can accurately take consumables and count and record inventory conditions in real time. Furthermore, the functions of abnormal alarm, shelf life management, remote monitoring and the like are combined, so that the safety, quality and inventory of the consumables are effectively managed. Particularly, an intelligent face anti-counterfeiting recognition system is adopted, and a personnel detection module, a static and dynamic detection module, an orientation detection module, a micro-expression module, a facial feature recognition module and the like are combined, so that accurate recognition and operation safety of the identity of an operator are effectively guaranteed. According to the scheme, the intelligent level and operation convenience of the intelligent cabinet are improved, safety guarantee is provided for users and managers, and high efficiency and convenience of intelligent warehouse management are achieved.

Description

Technical Field

[0001] The present invention belongs to the fields of medical device management and intelligent systems, and particularly relates to an intelligent cabinet for high-value consumables in a warehouse based on graphic recognition and Internet of Things technology. Background Art

[0002] In a modern medical environment, the management of high-value medical consumables has always been a challenge. Hospitals and clinics often face problems in the management of high-value medical consumables in storage cabinets, including difficulties in controlling the quantity of consumables, managing different types of consumables, and personnel management. Currently, there are often chaotic situations in the management of high-value medical consumables in storage cabinets, which lead to a series of problems, such as inaccurate quantity of consumables, wrong types, etc.

[0003] Traditional management methods are inefficient in recording and managing high-value medical consumables. Existing systems usually rely on manual recording and auditing, which are prone to errors and time-consuming. In addition, difficulties in personnel identification and management also increase the management complexity and may cause errors or omissions in consumable storage.

[0004] In view of these problems, there is an urgent need for an innovative high-value medical consumable storage cabinet system. The system should include identity recognition technology, be able to automatically record the operation behaviors of medical staff, and achieve precise management of high-value medical consumables. By identifying the identities of different personnel, it ensures that only authorized personnel can access specific types and quantities of consumables, effectively controlling and managing the inbound and outbound situations of consumables. Summary of the Invention

[0005] In order to solve the defects existing in the above-mentioned prior art, the present invention proposes an intelligent cabinet for high-value consumables in a warehouse based on graphic recognition and Internet of Things technology, aiming to improve the management efficiency and accuracy of high-value consumables in medical facilities or other industries, while reducing management costs and ensuring the safe and reliable use of high-value consumables.

[0006] The technical solution adopted by the present invention is as follows:

[0007] A smart cabinet for high-value consumables in a warehouse based on graphic recognition and Internet of Things technology, with an intelligent control system built-in, including an identity recognition unit, an information entry unit, a cabinet door control unit, a consumption quantity statistics unit, a consumable type statistics unit, and a data storage unit; the identity recognition unit is used to recognize the operator's personnel information and compare it with the information in the database. After confirming the access permission, the operator inputs the current consumable usage information through the control panel, including the consumable type and quantity. According to the usage information, the system opens the cabinet door of the consumable to be used through the cabinet door control unit. After the operator takes the corresponding quantity of consumables, the consumption quantity statistics unit and the consumable type statistics unit are used to count the quantity, type, and storage status of the real-time monitored consumables, track the inbound and outbound situation of the consumables, and save the collected data in the data storage unit for training the consumable inventory management model to predict demand and improve the inventory turnover rate.

[0008] The intelligent control system further includes an abnormal alarm unit: adding an abnormal detection function to generate an alarm when the consumable quantity is abnormal, the cabinet door opening is abnormal, or there is a problem with the identity verification, reminding the management staff to handle it in time.

[0009] The intelligent control system further includes a cloud data synchronization and remote management unit: allowing the administrator to remotely monitor the cabinet status, data analysis, and management through the cloud system, improving the flexibility and convenience of management.

[0010] The intelligent control system further includes a consumable shelf life management unit: tracking and managing the shelf life of the consumables, reminding the administrator to handle the consumables approaching the expiration date to ensure the quality and safety of the consumables.

[0011] The identity recognition unit is a face recognition device set on the smart cabinet, with a face anti-counterfeiting recognition system built-in, including: a main control module, and a personnel detection module, a static and dynamic detection module, a distance detection module, an orientation detection module, a micro-expression detection module, and a facial feature recognition module connected to the main control module;

[0012] The personnel detection module is used to identify whether there is a person in the identity recognition area in front of the smart cabinet;

[0013] The static and dynamic detection module is used to detect the behavior state of the current target;

[0014] The distance detection module is used to detect the distance between the current target and the smart cabinet;

[0015] The orientation detection module is used to detect the facial and body orientation of the current target;

[0016] The micro-expression detection module is used to detect the facial micro-expression of the current target;

[0017] The facial feature recognition module is used to recognize the facial features of the current target.

[0018] The main control module controls the personnel detection module to be normally open, and controls the static and dynamic detection module, the distance detection module, the direction detection module, the micro-expression detection module and the facial feature recognition module to be normally closed.

[0019] The personnel detection module detects through infrared thermal imaging technology that a person is located in the identity recognition area in front of the smart cabinet, and determines that a consumable material access operation may be performed;

[0020] Next, the system controls the static and dynamic detection module to start, and the static and dynamic detection module identifies the current state of the target. If it is in a moving state, it is determined that no access operation will be performed. If it is in a static state, it is determined that a consumable access operation may be performed.

[0021] Next, the system controls the distance detection module to start. The distance detection module obtains the distance data of the current target from the smart cabinet and compares it with the standard data in the database. If the distance is too close or too far, the system reminds the target to move and adjust the distance through voice broadcast;

[0022] Next, the system controls the orientation detection module to start, and the orientation detection module detects the orientation of the target. If the face and body are facing the face recognition device, it is determined that the consumables access operation may be performed;

[0023] Next, the micro-expression detection module is controlled to start and detect the micro-expressions of the target face, including eye movements, blinking movements, etc. If no micro-expressions are detected, and it is determined that the target person is wearing a fake mask, there is a risk of using other people's facial information to steal credit cards. The system controls the generation of an alarm for timely processing. If facial micro-expressions are detected, it is ruled out that the target person is wearing a fake mask;

[0024] Next, the facial feature recognition module is controlled to start, the target person's face is recognized, and compared with the face model in the database to confirm that the current target identity information in the database is an authorized person, thus completing the identity information recognition and ensuring the accuracy and security of the operator's identity.

[0025] The face recognition device also includes a light intensity detection module and a fill light module.

[0026] The light intensity detection module is used to detect the ambient light intensity when performing face recognition;

[0027] The fill light module is used to enhance the light intensity of the current environment.

[0028] The main control module controls the light intensity detection module to be normally open, and controls the fill light module to be normally closed;

[0029] The light intensity detection module continuously detects the ambient light intensity to ensure that the conditions for image acquisition meet the requirements. If the light is insufficient, this module will send a signal to the main control module;

[0030] When the light intensity detection module detects insufficient ambient light, the main control module will activate the supplementary light module. This module uses light sources such as LEDs to enhance the ambient light, ensuring high-quality images are captured, with sufficient brightness and clarity for face recognition.

[0031] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present invention are as follows:

[0032] Internet of Things connectivity: Through Internet of Things technology, the intelligent cabinet can be connected to the Internet, allowing remote monitoring and management of the consumable storage cabinet.

[0033] Intelligent identification and management: Through the face anti-counterfeiting recognition system integrated with the main control module, personnel detection module, static and dynamic detection module, distance detection module, orientation detection module, micro-expression detection module, and facial feature recognition module, the true identity of the operator is ensured through multiple verifications. At the same time, false masks and fraudulent operations are excluded, guaranteeing the safe use of high-value consumables in the intelligent cabinet, and managing the access to high-value consumables according to their permissions to ensure safe management and use.

[0034] Real-time monitoring and tracking: The built-in sensor system can monitor the quantity, type, and storage status of consumables in real time, track the inbound and outbound situations of consumables, and ensure information accuracy and real-time management of consumables.

[0035] Intelligent control and alarm: An intelligent control system is set inside the cabinet body, which can automatically control the opening and closing of the cabinet door, and provide an alarm mechanism to deal with abnormal situations, such as abnormal quantity of consumables, unauthorized opening, etc.

[0036] Data analysis and optimization: The collected data can be analyzed for optimizing the inventory management of consumables to predict demand, improve inventory turnover rate, and reduce waste.

[0037] The intelligent cabinet for high-value consumables in warehousing based on Internet of Things technology is a storage device integrating Internet of Things technology. It aims to improve the management efficiency and accuracy of high-value consumables in medical facilities or other industries, while reducing management costs and ensuring the safe and reliable use of high-value consumables. Description of the Drawings

[0038] The present invention will be described by way of examples with reference to the accompanying drawings, where:

[0039] Figure 1 is the internal system architecture diagram of the intelligent cabinet for high-value consumables in Internet of Things warehousing of the present invention;

[0040] Figure 2 It is a schematic structural diagram of the intelligent face anti-counterfeiting recognition system in the present invention;

[0041] Figure 3 It is a flowchart of the intelligent face anti-counterfeiting recognition method in the present invention. Specific implementation manners

[0042] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Apparently, the described embodiments are only a part rather than all of the embodiments of the present application. Usually, the components of the embodiments of the present application described and illustrated herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but merely represents selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts fall within the scope of protection of the present application.

[0043] This embodiment provides a smart cabinet for high-value consumables in a warehouse based on graphic recognition and Internet of Things technology, with an intelligent control system built therein. Refer to Figure 1 , which includes an identity recognition unit, an information entry unit, a cabinet door control unit, a consumption quantity statistics unit, a consumable type statistics unit, and a data storage unit; the identity recognition unit is used to identify the personal information of the operator and compare it with the information in the database. After confirming the access permission, the operator inputs the consumption information of the consumables this time, including the type and quantity of the consumables, through the control panel. According to the consumption information, the system opens the cabinet door of the consumables to be taken through the cabinet door control unit. After the operator takes the corresponding quantity of consumables, the consumption quantity statistics unit and the consumable type statistics unit are used to count the quantity, type, and storage status of the real-time monitored consumables, track the inbound and outbound situation of the consumables, and save the collected data in the data storage unit for training the consumable inventory management model to predict demand and improve the inventory turnover rate.

[0044] In a specific implementation manner:

[0045] The identity recognition unit is a face recognition device provided on the smart cabinet, with a face anti-counterfeiting recognition system built therein, and uses biometric recognition technology to ensure the accuracy and security of the operator's identity.

[0046] The information entry unit is not limited to input through the control panel, but also supports voice recognition or input through a mobile device application, improving the convenience and diversity of use.

[0047] In addition to opening the cabinet door according to the access information, the cabinet door control unit can also detect the cabinet door status through the intelligent sensor and automatically close the cabinet door after the access is completed, ensuring the safe storage of consumables.

[0048] The usage statistics unit is combined with a precise weight sensor or volume sensing technology to ensure real-time and accurate recording of the consumables usage.

[0049] The consumables type statistics unit not only performs statistics, but also uses machine learning algorithms to analyze historical data, identify possible abnormal consumables usage, and generate alarms for timely processing.

[0050] The data storage unit has an efficient storage management mechanism, takes data backup and security into consideration, uses encryption technology to protect sensitive data, and ensures data integrity and security.

[0051] In a further embodiment:

[0052] The intelligent control system also includes an abnormal alarm unit: an abnormal detection function is added to generate an alarm when the number of consumables is abnormal, the cabinet door is opened abnormally, or there is a problem with identity authentication, reminding the management staff to deal with it in time

[0053] The intelligent control system also includes a consumables shelf life management unit: the shelf life of the consumables is tracked and managed, and the administrator is reminded to handle the consumables that are close to expiration, so as to ensure the quality and safety of the consumables.

[0054] The intelligent control system also includes a cloud data synchronization and remote management unit. Administrators can remotely monitor the status, data analysis and management of the smart cabinet, use cloud services to achieve remote monitoring, and remotely set and operate the cabinet, thereby improving the management flexibility and convenience of the cabinet.

[0055] The intelligent control system also includes an environment monitoring unit and a control unit. The environment monitoring unit can use temperature and humidity sensors to monitor the internal environment of the cabinet, such as temperature and humidity, and automatically adjust through the control unit to maintain a suitable storage environment, which helps to improve the shelf life of consumables.

[0056] In a specific embodiment:

[0057] The identification unit is a face recognition device installed on the smart cabinet. Considering that the traditional face recognition system cannot distinguish the false recognition scene using photos or masks, or the scene of accidentally picking up the face information of the passing operator, resulting in low face recognition accuracy, the device has a built-in intelligent face anti-counterfeiting recognition system in the face recognition device, see Figure 2, including: a main control module, and a personnel detection module, a static and dynamic detection module, a distance detection module, a direction detection module, a micro-expression detection module and a facial feature recognition module connected to the main control module;

[0058] The personnel detection module is used to identify whether there is a person in the identity recognition area in front of the smart cabinet;

[0059] The static and dynamic detection module is used to detect the behavior state of the current target;

[0060] The distance detection module is used to detect the distance between the current target and the smart cabinet;

[0061] The orientation detection module is used to detect the facial and body orientation of the current target;

[0062] The micro-expression detection module is used to detect the facial micro-expressions of the current target;

[0063] The facial feature recognition module is used to recognize the facial features of the current target.

[0064] Specific:

[0065] The personnel detection module can use infrared thermal imaging technology or infrared sensing sensors to detect whether there is a person in front of the smart cabinet and determine whether it is possible to perform consumable retrieval operations.

[0066] The static and dynamic detection modules can use image processing technology, such as calculating the motion state or still state of the target; dynamic detection may use sensors or video capture, combined with algorithms to identify the motion state of the target.

[0067] The distance detection module can use devices such as laser ranging sensors, infrared sensors or ultrasonic sensors to obtain the distance data between the target and the smart cabinet, and perform real-time measurement and compare it with the standard data in the database.

[0068] The direction detection module may use a camera or an infrared sensor to capture information about the direction of the target, and determine through an algorithm whether the target is facing the face recognition device.

[0069] The micro-expression detection module can capture images of subtle changes in the target's face through a high-resolution camera or an infrared camera, and use image processing technology and machine learning algorithms to analyze the presence or absence of micro-expressions.

[0070] The facial feature recognition module uses a high-resolution camera or a dedicated face recognition camera to capture the target facial feature information, and uses deep learning algorithms or face recognition technology to perform facial feature recognition and comparison.

[0071] In further embodiments, see Figure 3 :

[0072] The main control module controls the personnel detection module to be normally open, and controls the static and dynamic detection module, the distance detection module, the direction detection module, the micro-expression detection module and the facial feature recognition module to be normally closed;

[0073] The personnel detection module detects through infrared thermal imaging technology that a person is located in the identity recognition area in front of the smart cabinet, and determines that a consumable material access operation may be performed;

[0074] Next, the system controls the static and dynamic detection module to start, and the static and dynamic detection module identifies the current state of the target. If it is in a moving state, it is determined that no access operation will be performed. If it is in a static state, it is determined that a consumable access operation may be performed.

[0075] Next, the system controls the distance detection module to start. The distance detection module obtains the distance data of the current target from the smart cabinet and compares it with the standard data in the database. If the distance is too close or too far, the system reminds the target to move and adjust the distance through voice broadcast;

[0076] Next, the system controls the orientation detection module to start, and the orientation detection module detects the orientation of the target. If the face and body are facing the face recognition device, it is determined that the consumables access operation may be performed;

[0077] Next, the micro-expression detection module is controlled to start and detect the micro-expressions of the target face, including eye movements, blinking movements, etc. If no micro-expressions are detected, and it is determined that the target person is wearing a fake mask, there is a risk of using other people's facial information to steal credit cards. The system controls the generation of an alarm for timely processing. If facial micro-expressions are detected, it is ruled out that the target person is wearing a fake mask;

[0078] Next, the facial feature recognition module is controlled to start, the target person's face is recognized, and compared with the face model in the database to confirm that the current target identity information in the database is an authorized person, thus completing the identity information recognition and ensuring the accuracy and security of the operator's identity.

[0079] In a further embodiment:

[0080] The face recognition device also includes a light intensity detection module and a fill light module.

[0081] The light intensity detection module uses a light intensity sensor to detect the ambient light intensity when performing face recognition;

[0082] The fill light module adopts an LED fill light to enhance the light intensity of the current environment.

[0083] The main control module controls the light intensity detection module to be normally open, and controls the fill light module to be normally closed;

[0084] The light intensity detection module continuously detects the ambient light intensity to ensure that the conditions for image acquisition meet the requirements. If the light is insufficient, this module will send a signal to the main control module;

[0085] When the light intensity detection module detects insufficient ambient light, the main control module will activate the supplementary light module. This module uses light sources such as LEDs to enhance the ambient light, ensuring high-quality images are captured, with sufficient brightness and clarity for face recognition.

[0086] The intelligent face anti-counterfeiting recognition system cleverly integrates multiple modules to ensure the face recognition environment and accuracy of the intelligent cabinet. The cooperation of the light intensity detection module and the supplementary light module ensures that the ambient light for image acquisition meets the standards, providing high-quality and clear enough images for face recognition even in low-light conditions. The linkage of the personnel detection module, static and dynamic, distance, orientation, micro-expression, and facial feature recognition modules under the main control module ensures all-round recognition of the user and operational safety.

[0087] The personnel detection module uses infrared thermal imaging technology to accurately identify and judge the possible operation intentions of the user; the static and dynamic detection module identifies the motion state to prevent misoperations; the distance detection module ensures an appropriate operating distance through voice prompts; the orientation detection module judges the user's orientation to confirm the possible operations; the micro-expression detection module eliminates the risk of false masks and generates an alarm to prevent card skimming; the facial feature recognition module compares with the database to confirm the authorized identity, ensuring the accuracy and security of the operator's identity.

[0088] This comprehensive technical solution not only improves the intelligence level and security of the intelligent cabinet operation but also provides a more convenient user experience. Comprehensive personnel recognition and behavior analysis make the operation of the intelligent cabinet more accurate and secure, bringing confidence and convenience to users and managers.

[0089] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

[0090] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart cabinet for high-value consumables in a warehouse based on graphic recognition and Internet of Things technology, with an intelligent control system built-in, characterized in that It includes an identity recognition unit, an information input unit, a cabinet door control unit, a consumption quantity statistics unit, a consumable type statistics unit, and a data storage unit; the identity recognition unit is used to recognize the operator's personal information and compare it with the information in the database. After confirming the access permission, the operator inputs the current consumable usage information, including the type and quantity of consumables, through the control panel. According to the usage information, the system opens the cabinet door of the consumables to be used corresponding to the cabinet door control unit. After the operator uses the corresponding quantity of consumables, the consumption quantity statistics unit and the consumable type statistics unit are used to count the quantity, type, and storage status of the real-time monitored consumables, track the inbound and outbound situation of the consumables, and save the collected data in the data storage unit for training the consumable inventory management model to predict demand and improve the inventory turnover rate.

2. The intelligent cabinet for high-value consumables in a warehouse based on pattern recognition and Internet of Things technology according to claim 1, wherein The intelligent control system further includes an abnormal alarm unit: adding an abnormal detection function to generate an alarm when the consumable quantity is abnormal, the cabinet door opening is abnormal, or there is a problem with identity verification, reminding the management staff to handle it in time.

3. The intelligent cabinet for high-value consumables in a warehouse based on graphic recognition and Internet of Things technology according to claim 1, wherein The intelligent control system further includes a cloud data synchronization and remote management unit: allowing the administrator to remotely monitor the cabinet status, data analysis, and management through the cloud system, improving the flexibility and convenience of management.

4. The intelligent cabinet for high-value consumables in a warehouse based on pattern recognition and Internet of Things technology according to claim 1, wherein The intelligent control system further includes a consumable shelf life management unit: tracking and managing the shelf life of consumables, reminding the administrator to handle the consumables approaching the expiration date to ensure the quality and safety of the consumables.

5. The intelligent cabinet for high-value consumables in a warehouse based on pattern recognition and Internet of Things technology according to claim 4, wherein The identity recognition unit is a face recognition device set on the intelligent cabinet, with a built-in face anti-counterfeiting recognition system, including: a main control module, and a personnel detection module, a static and dynamic detection module, a distance detection module, an orientation detection module, a micro-expression detection module, and a facial feature recognition module connected to the main control module; The personnel detection module is used to identify whether there is a person in the identity recognition area in front of the intelligent cabinet; The static and dynamic detection module is used to detect the current behavior state of the target; The distance detection module is used to detect the distance between the current target and the intelligent cabinet; The orientation detection module is used to detect the facial and body orientation of the current target; The micro-expression detection module is used to detect the facial micro-expression of the current target; The facial feature recognition module is used to identify the facial features of the current target.

6. The intelligent cabinet for high-value consumables in a warehouse based on pattern recognition and Internet of Things technology according to claim 5, characterized in that, The main control module controls the personnel detection module to be always on, and controls the static and dynamic detection module, the distance detection module, the orientation detection module, the micro-expression detection module, and the facial feature recognition module to be always off.

7. According to claim 6, a high-value consumable intelligent cabinet for warehousing based on graphic recognition and Internet of Things technology, characterized in that When the personnel detection module detects through infrared thermal imaging technology that there is a person in the identity recognition area in front of the intelligent cabinet, it judges that a consumable usage operation may be carried out; Next, the system controls the static and dynamic detection module to be turned on. The static and dynamic detection module identifies the current state of the target. If it is in a moving state, it is determined that no usage operation is carried out. If it is in a static state, it is determined that a consumable usage operation may be carried out; Next, the system controls the distance detection module to start. The distance detection module obtains the distance data of the current target from the smart cabinet and compares it with the standard data in the database. If the distance is too close or too far, the system reminds the target to move and adjust the distance through voice broadcast; Next, the system controls the orientation detection module to start, and the orientation detection module detects the orientation of the target. If the face and body are facing the face recognition device, it is determined that the consumables access operation may be performed; Next, the micro-expression detection module is controlled to start and detect the micro-expressions of the target face, including eye movements, blinking movements, etc. If no micro-expressions are detected, and it is determined that the target person is wearing a fake mask, there is a risk of using other people's facial information to steal credit cards. The system controls the generation of an alarm for timely processing. If facial micro-expressions are detected, it is ruled out that the target person is wearing a fake mask; Next, the facial feature recognition module is controlled to start, the target person's face is recognized, and compared with the face model in the database to confirm that the current target identity information in the database is an authorized person, thus completing the identity information recognition and ensuring the accuracy and security of the operator's identity.

8. An intelligent cabinet for high-value consumables in a warehouse based on graphic recognition and Internet of Things technology according to claim 7, characterized in that, It also includes a light intensity detection module and a fill light module. The light intensity detection module is used to detect the ambient light intensity when performing face recognition; The fill light module is used to enhance the light intensity of the current environment.

9. The intelligent cabinet for high-value consumables in a warehouse based on pattern recognition and Internet of Things technology according to claim 8, characterized in that, The main control module controls the light intensity detection module to be normally open, and controls the fill light module to be normally closed; The light intensity detection module continuously detects the light intensity of the environment to ensure that the conditions for image acquisition meet the requirements. If the light is insufficient, this module will send a signal to the main control module; When the light intensity detection module detects that the ambient light is insufficient, the main control module will start the fill light module. This module uses light sources such as LEDs to enhance the ambient light, ensuring that the collected images are of high quality and have sufficient brightness and clarity for face recognition.

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