An integrated intelligent camera and its automatic portrait capturing system
By designing an integrated smart camera, combined with the automatic adjustment function of the robotic arm and rotary seat assembly, efficient and automatic capture of portraits and traces is achieved. At the same time, multiple subsystems are integrated for in-depth analysis and information management, which solves the problem of difficult to achieve automatic capture and data analysis in the existing technology, and improves monitoring efficiency and data utilization.
Patent Information
- Application Number
- CN202411900603.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-23
- Publication Date
- 2025-04-01
AI Technical Summary
It is difficult to efficiently and automatically capture portraits, trace tracking, in-depth analysis and mining, generate various reports and charts, and save information and query.
An integrated intelligent camera is designed, including a base, rotary motor, robotic arm assembly, rotary seat assembly and main camera assembly. Through the telescopic adjustment of the robotic arm assembly and the driving of the rotary motor, the position and angle of the base are adjusted, and combined with the automatic tracking function of the rotary seat assembly and the main camera assembly, the automatic capture of portraits is achieved. At the same time, multiple subsystems are integrated such as device management, face management, cloud storage, abnormal inspection, data statistics, etc. to realize in-depth analysis and information preservation and query.
It realizes efficient and automatic capture of portraits and traces, in-depth analysis and mining of data, generates various reports and charts, and saves and querys information, improving the efficiency and accuracy of security monitoring.
Smart Images

Figure CN119743673A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of image recognition, and relates to an integrated intelligent camera, in particular to an automatic portrait capturing system of an integrated intelligent camera. Background Art
[0002] With the continuous development of society, people's demand for security is increasing, and the security industry has therefore developed rapidly. Traditional security methods such as manual patrols and surveillance recordings have many shortcomings, such as low efficiency and easy omissions. Therefore, the emergence of integrated smart cameras, with its high efficiency and intelligence, meets people's new needs for security. The continuous advancement of integrated circuit technology has made the integration of cameras higher and higher, and the performance has become more and more powerful. The rapid development of image processing technology has provided cameras with powerful image processing capabilities, enabling them to realize advanced functions such as real-time analysis and recognition of images. The popularization of network technology allows cameras to remotely monitor and transmit data, greatly expanding their scope of application.
[0003] The technical background of integrated smart cameras and their automatic portrait capture systems involves many aspects, including security demand drive, technology development support, industry chain improvement, face recognition technology, motion capture technology and algorithm optimization, etc. The development and progress of these technologies provide a solid foundation for the widespread application of integrated smart cameras and automatic portrait capture systems.
[0004] Based on this, we propose an integrated intelligent camera and its automatic portrait capture system to realize automatic portrait capture, human tracking, in-depth analysis and mining, generation of various reports and charts, and information storage and query. Summary of the invention
[0005] The purpose of the present invention is to address the above-mentioned problems in the existing technology and propose an integrated intelligent camera and its automatic portrait capture system. The technical problem to be solved by the invention is: how to achieve efficient and automatic capture of portraits, human tracking, in-depth analysis and mining, generation of various reports and charts, and storage of information and query.
[0006] The purpose of the present invention can be achieved by the following technical solutions:
[0007] An integrated intelligent camera comprises a base, wherein a main control board is arranged inside the base, four rotary motors are arranged symmetrically in pairs on the outside of the base, a rotary seat is fixed on the output shaft of each rotary motor, a mechanical arm assembly is arranged on the rotary seat, a rotating seat assembly is arranged at the lower end of the base, a fixed camera and a rotating adjustment assembly are arranged on the rotating seat assembly, a main camera assembly is arranged on the rotating adjustment assembly, and an automatic portrait capturing system is arranged on the main control board.
[0008] The working principle of the present invention is as follows: four mechanical arm assemblies are installed on the wall and the roof. The mechanical arm assemblies are telescopically adjusted to adjust the position and angle of the base. The output shaft of the rotation motor drives the rotation seat to rotate, thereby adjusting the position and angle of the base. The rotation seat assembly rotates, driving the fixed camera and the rotation adjustment assembly to rotate. The rotation adjustment assembly drives the main camera assembly to rotate to an inclined angle, which is used to cooperate with the fixed camera and the automatic tracking and capturing portrait system to automatically capture portraits.
[0009] The base is in a cylindrical shape, a loudspeaker and a microphone are arranged inside the base, a sound-speaker hole is opened on the base, and the loudspeaker and the microphone are located on the inner side of the sound-speaker hole.
[0010] With the above structure, the speaker is used to produce sound, the microphone is used to collect sound, and the speaker hole is used for connection to avoid sound insulation.
[0011] The rotating seat assembly includes a rotating motor and a rotating mounting cylinder. The rotating motor is fixed inside the base. A driving tooth is fixed on the output shaft of the rotating motor. The rotating mounting cylinder is rotatably arranged at the lower end of the base. A driven internal tooth is fixed inside the rotating mounting cylinder. The driven internal tooth is meshed with the driving tooth.
[0012] With the above structure, the output shaft of the rotating motor 1 drives the driving gear 1 to rotate, and the driven internal gear 1 meshes with the driving gear 1, driving the rotating installation cylinder to rotate at the lower end of the base.
[0013] The rotation adjustment assembly includes a second rotation motor and two rotation adjustment plates. The two rotation adjustment plates are rotatably arranged on both sides of the rotation installation cylinder. The second rotation motor is fixed inside the rotation installation cylinder. The output shaft of the second rotation motor is fixedly connected to the rotation shaft of one of the rotation adjustment plates.
[0014] With the above structure, the output shaft of the second rotary motor drives the rotating shaft of one of the rotary adjustment plates to rotate, thereby driving the two rotary adjustment plates to rotate synchronously on both sides of the rotary mounting cylinder.
[0015] The main camera assembly comprises a spherical mounting cylinder, which is fixed between two rotating adjustment plates, a mounting frame is fixed inside the spherical mounting cylinder, a fan motor is fixed on the upper end of the mounting frame, an output shaft of the fan motor passes through and extends out of the spherical mounting cylinder, a cooling fan is fixed on the output shaft of the fan motor, a plurality of air inlet holes are opened at the upper end of the spherical mounting cylinder, a dust blocking cotton layer is provided inside the spherical mounting cylinder, the dust blocking cotton layer is located on the inner side of the plurality of air inlet holes, a fan motor is fixed at the lower end of the mounting frame, a camera rotating seat is rotatably provided between the lower end of the mounting frame and the spherical mounting cylinder, a main camera is fixed at the lower end of the rotating seat, a driven internal gear 2 is fixed on the rotating seat, a rotating motor 3 is fixed at the lower end of the mounting frame, an active gear 2 is fixed on the output shaft of the rotating motor 3, the active gear 2 is meshed with the driven internal gear 2, a plurality of air outlet holes are opened at the lower end of the spherical mounting cylinder, a semi-arc-shaped wind curtain air outlet plate is fixed at the lower end of the spherical mounting cylinder, and the wind curtain air outlet plate is located at the lower end of half of the plurality of air outlet holes.
[0016] With the above structure, the spherical cylinder is installed and fixed between two rotating adjustment plates. The spherical cylinder is rotated as the two rotating adjustment plates rotate. The output shaft of the fan motor drives the cold fan to rotate, and the external cold air is drawn in through a number of air inlet holes. After the dust is removed by the dust-blocking cotton layer, clean cold air is obtained and enters the interior of the spherical cylinder to cool down the internal electrical components. Then the internal hot air is discharged through the air outlet holes. The wind curtain air outlet plate is located at the lower end of half of the air outlet holes to form a wind curtain to block the main camera to prevent dust from falling on the main camera. The output shaft of the rotating motor three drives the active gear two, and the active gear two is meshed with the driven internal gear two, thereby driving the rotating seat to rotate between the lower end of the mounting frame and the spherical cylinder, thereby driving the main camera to rotate, and automatically tracking and capturing the portrait.
[0017] The mechanical arm assembly comprises a positioning mechanical arm, which is arranged on a rotation seat, a mechanical arm camera is arranged on the positioning mechanical arm, and a mounting plate is fixed to the end of the positioning mechanical arm.
[0018] With the above structure, the mounting plate is fixed on the wall and the roof. The positioning robot arm is a multi-section electric robot arm with adjustable deformation. The positioning robots of the four robot arm assemblies cooperate to adjust the position of the base. The robot arm camera cooperates with other cameras to automatically capture the portrait system.
[0019] An automatic portrait capture system of an integrated intelligent camera includes a device management subsystem, a face management subsystem, a cloud storage subsystem, an abnormal inspection subsystem, a data statistics subsystem, a human posture recognition subsystem, a facial expression recognition subsystem, a gesture recognition subsystem, a human tracking subsystem, a 4G Internet of Things subsystem, a key hosting subsystem, a video service subsystem, a voice service subsystem, a memory card service subsystem, a sound detection subsystem, a job detection subsystem, a self-service subsystem and a security subsystem.
[0020] The equipment management subsystem includes an equipment monitoring module, a maintenance management module, a data analysis module and a fault diagnosis module. The equipment monitoring module collects the operation data of the equipment in real time. The operation data includes but is not limited to the key parameters of position, label, temperature, voltage and current, forms a monitoring network, and detects abnormal conditions in time; the maintenance management module automatically generates a maintenance plan according to the frequency of use and operation status of the equipment, and reminds the technicians to perform routine inspections and maintenance; at the same time, it records the detailed information of each maintenance, and the maintenance information includes but is not limited to the cause of the failure, the maintenance process, and the parts used, so as to form a maintenance file and provide a reference for future maintenance work; the data analysis module collects equipment operation data, analyzes it, and generates various reports to help the management make decisions. The data analysis module is also used to predict equipment failures and improve the management level; the fault diagnosis module uses data analysis and algorithms, and the system automatically identifies equipment failures, provides fault alarms and diagnostic suggestions, and helps technicians quickly locate problems;
[0021] The face management subsystem includes an album management module, a consumption management module, a VIP identity module and an age analysis module. The album management module is used to collect and classify facial photos; the consumption management module can achieve comprehensive management of the consumer's consumption process, including but not limited to the query, statistics and analysis of consumption records; it helps managers understand consumers' consumption habits and needs, and provides data support for the subsequent formulation of marketing strategies; the VIP customer module intelligently and quickly identifies the purchase status of VIP members according to the level of the member, providing more permissions and services than ordinary users, including but not limited to purchase time, package type, and member status information, so as to carry out member management and service optimization; the age analysis module: identifies and locates the face area in the captured image, extracts the feature information in the face image, the feature information includes but is not limited to skin texture, facial contour, eye and mouth shape, and inputs the extracted feature information into the trained age estimation model, and the model will output an age estimate based on the feature information;
[0022] The cloud storage subsystem is used to transmit the video data captured by the camera to the cloud server through the network. The server stores and manages the video data. Users can access the video data anytime and anywhere through the Internet without physical contact with the camera;
[0023] The abnormal inspection subsystem includes a storage abnormality module, a device offline module, a picture blur module, a brightness abnormality module, a space-time inspection module and an abnormality timely reminder module. The storage abnormality module monitors the storage device in real time to see if there is any abnormality, and determines whether the abnormality reaches the trigger processing condition through a preset threshold or algorithm; the detected abnormal information is recorded, including but not limited to the abnormality type, occurrence time, and impact range; the abnormal record is used for subsequent analysis and troubleshooting; according to the type and severity of the abnormality, appropriate processing measures are taken, including but not limited to data recovery and device restart, and the information is passed to the abnormality timely reminder module; the recorded abnormal data is analyzed to find out potential problems and trends; an abnormality report is generated to provide decision support for system administrators; when the device offline module has an abnormal disconnection or unstable connection during the network connection process, the module can quickly detect and take appropriate processing measures to ensure the normal operation of the device and the continuity of data communication, and pass the information to the abnormality timely reminder module; the picture blur module is a specific component or functional module used to achieve the picture blur effect in the image processing or video processing system, which simulates the image or video Blur processing is performed to achieve a specific visual effect or meet specific application requirements, and the information is passed to the abnormal timely reminder module; when the brightness abnormality module detects abnormal brightness of the picture, it will trigger the corresponding processing mechanism, which includes but is not limited to issuing warnings, adjusting camera parameters and recording abnormal information to ensure the quality of the video picture and the normal operation of the monitoring system, and pass the information to the abnormal timely reminder module; the space-time inspection module combines spatial analysis and time series analysis technology to perform real-time monitoring and early warning of the monitoring area. The system can capture and record real-time images, identify abnormal behaviors, events or changes through algorithm analysis, improve monitoring efficiency and accuracy, and pass the information to the abnormal timely reminder module; after the abnormal timely reminder module receives the information from the storage abnormality module, the equipment offline module, the picture blur module, the brightness abnormality module, and the space-time inspection module, it will issue a reminder or alarm in time so that relevant personnel can respond quickly. The alarm mechanism is not limited to issuing a sound alarm, sending SMS or email reminders, and displaying alarm information in the monitoring system. After receiving the alarm information, the relevant staff will quickly check the monitoring screen, understand the abnormal situation, and take corresponding processing measures.
[0024] The data statistics subsystem includes a daily statistics module, a monthly statistics module and an annual statistics module. The daily statistics module, the monthly statistics module and the annual statistics module cooperate to clean, denoise and format the collected data to ensure the accuracy and consistency of the data, identify and analyze the video images, extract deeper data information, perform statistical analysis on the processed data, and generate various reports and charts;
[0025] The human posture recognition subsystem includes a fall detection module, a long-term immobility detection module, a timely warning module and an emergency call module. The fall detection module identifies the position and outline of the human body in the image, extracts features related to the fall from the identified human body image, and the feature information includes but is not limited to body posture and motion trajectory. According to the extracted features, a machine learning algorithm is used to determine whether the human body has fallen, and the information is transmitted to the emergency call module; the long-term immobility detection module identifies the target object in the image, continuously tracks it, constructs the motion trajectory of the target object, and determines whether it remains motionless for a period of time according to the motion trajectory of the target object, and transmits the information to the timely warning module; when the timely warning module detects that the human body has not moved for a long time, it will immediately issue a warning signal, and the warning signal includes but is not limited to sound alarms, flashing lights, SMS notifications and email reminders; the module can quickly perform preliminary processing on the warning event, and the preliminary processing method is to record the event details and capture key images or video clips; when the emergency call module detects that the human body has fallen, it will immediately send a distress signal to the preset emergency contact or distress center, and the distress signal contains video images, audio information and geographic location, so that rescue personnel can quickly understand the situation on the scene;
[0026] After the facial expression recognition subsystem detects a human face, the system needs to extract features related to the expression, analyze the facial image captured by the camera, and automatically recognize various human expressions, including but not limited to happiness, sadness, anger, surprise, fear, and disgust;
[0027] The gesture recognition subsystem uses a camera to capture the user's hand movements and recognizes the corresponding gestures through algorithm analysis, thereby realizing the control of the device or command input; gesture feature information includes but is not limited to hand contours, finger joint positions and movement trajectories;
[0028] The human tracking subsystem combines computer vision, pattern recognition and artificial intelligence technologies to accurately track human body trajectories, update the position and movement trajectory of the target in real time, and output the tracking results to the monitoring system or related applications for further analysis and processing;
[0029] The 4G IoT subsystem has a built-in 4G communication IoT card, which enables the camera to be directly connected to the Internet through the base stations of the three major operators, breaking the limitation of traditional surveillance cameras that need to deploy network cables or connect to WiFi, and achieving the purpose of remote monitoring. It is responsible for receiving, storing and processing data transmitted by the camera; through cloud computing and big data technology, it conducts in-depth analysis and mining of surveillance data;
[0030] The key hosting subsystem includes a unified storage management module, a historical password management module and an encrypted transmission module. The unified storage management module is responsible for storing, managing, access controlling and protecting the camera's keys to prevent unauthorized access and data leakage, and conducts security audits, recording the generation, distribution, use and revocation of keys throughout their life cycle for security audits and compliance checks; the historical password management module ensures the security and traceability of keys by recording and saving historical passwords of keys for audits, recovery or compliance checks when necessary; the encrypted transmission module is responsible for securely transmitting keys between the camera and the cloud server, other cameras or user devices, ensuring that the transmitted keys are not tampered with or damaged during transmission, achieving identity authentication between the camera and other devices, and ensuring the authenticity of the identities of both communicating parties;
[0031] The video service subsystem includes an uninterrupted playback module, a multi-terminal universal module, a paging preview module, a multi-channel patrol module and a download module. The uninterrupted playback module ensures that the video captured by the camera can be continuously and stably transmitted and displayed, and collects, processes, transmits and plays the video; the multi-terminal universal module provides a universal driver and communication protocol to ensure the compatibility of the camera in different operating systems and applications on multiple platforms and devices; the paging preview module supports the system or function of previewing multiple camera video streams in multi-page or split-screen mode, when multiple cameras need to be monitored simultaneously; the multi-channel patrol module allows users to switch and preview between different camera video streams to achieve real-time monitoring of multiple monitoring areas; the download module allows users to download video files stored in cameras or recorders to local devices for viewing, saving or further processing.
[0032] The voice service subsystem includes a voice playback module and a recording module. The voice playback module includes a speaker player, which is responsible for converting the stored or received voice information into audible sound output; the recording module is responsible for converting the external sound signal into a digital signal for storage or transmission;
[0033] The memory card service subsystem includes a video loop saving module, a network disconnection saving module and a recording loop saving module. The video loop saving module is used to loop save the video data on the memory card, and its functions include but are not limited to video loop overwriting, video intelligent management and video efficient storage; the network disconnection saving module is used to save data when the network connection is disconnected or unstable, and its functions include but are not limited to offline storage, data caching and intelligent detection; the recording loop saving module is used to loop save the recording data on the memory card, and its functions include but are not limited to recording loop overwriting, intelligent recording management and support for multiple recording formats;
[0034] The sound detection subsystem includes a crying recognition module and a volume recognition module. The crying recognition module captures the crying of babies through the built-in microphone of the camera. Through the training of a large number of baby crying samples, it has mastered the unique characteristics of baby crying, including but not limited to frequency, timbre, and rhythm. The model will quickly analyze the various dimensional characteristics of the sound and compare them with the learned crying characteristics to determine whether it is the crying of a baby; the volume recognition module converts the captured sound signal into a digital signal through the built-in microphone of the camera, extracts volume-related parameters from the sound signal to obtain the volume of the sound. When the sound exceeds the preset threshold, it automatically reminds customers or employees to lower the volume, and reminds the staff to check whether there is any special situation;
[0035] The job detection subsystem includes a position detection module and an off-post reminder module. The position detection module detects and identifies the position of the target object through the images or video data captured by the camera, using image processing, computer vision and machine learning technology; the off-post reminder module captures the images or video data in the monitoring area in real time through the camera, identifies and tracks the targets in the image, monitors the behavior of employees leaving their jobs, automatically determines that the employees have left their jobs, and triggers a reminder mechanism to help companies understand the work status of employees, discover potential management problems, and optimize work processes.
[0036] The self-service subsystem includes the instruction manual module, function introduction module, maintenance service module, experience hall module and after-sales service module. The instruction manual module integrates the key information of the product's instructions for use, operating guide, technical specifications, and safety precautions in a structured manner to form a clear and easy-to-understand document; the function introduction module elaborates on the various functions of the product and its application scenarios, including but not limited to function description, function demonstration and function comparison, and shows the various functions and advantages of the product to users in various forms such as text, pictures and videos, helping users to better understand the functions and value of the product; the maintenance service module is based on the design of fault detection and maintenance processes. When a fault occurs or maintenance is required, the user submits a maintenance request through the maintenance service module, and the corresponding maintenance process and maintenance plan are automatically matched according to the fault phenomenon and the technical specifications of the product; the experience hall module is based on the design of scene simulation and interactive experience. By placing the product or service in a specific scene, users can experience the function and value of the product through personal experience, including but not limited to the product display area, interactive experience area and consultation and explanation area, showing and understanding the appearance, function and technology of the product; the after-sales service module is based on the design and optimization of the customer service process, including but not limited to customer service request reception, problem diagnosis, solution provision, service execution and feedback collection.
[0037] The security subsystem includes a terminal management module, a data encryption module and an account security module. The terminal management module is mainly responsible for monitoring and managing the terminal devices in the system. Its functions include but are not limited to authentication and authorization of terminal devices, configuration management of terminal devices, monitoring and auditing of terminal devices, and remote management and maintenance. The data encryption module protects the confidentiality and integrity of data by using encryption algorithms and key management strategies. Its functions include but are not limited to data storage encryption, data transmission encryption, key management, selection and implementation of encryption algorithms. The account security module is the key to protecting user accounts from unauthorized access. Its functions include but are not limited to user authentication, permission management, account monitoring and auditing, and password policy management.
[0038] Compared with the prior art, the integrated intelligent camera and its automatic portrait capture system have the following advantages:
[0039] The position and angle of the base can be adjusted by telescopic adjustment of four mechanical arm components, and in coordination with the rotary motor and the rotary seat;
[0040] The fixed camera and the rotating adjustment component are driven to rotate by the rotating seat component, and the rotating adjustment component drives the main camera component to rotate to an inclined angle, so that the fixed camera cooperates with the main camera of the main camera component and the robot arm camera, and cooperates with the automatic tracking and capturing portrait system to automatically capture the portrait, save the information and query;
[0041] The fan motor, cooling fan, air inlet and outlet holes, and air curtain outlet plate work together to form an air curtain to block the main camera, preventing dust from falling on the main camera and ensuring clear video.
[0042] The automatic portrait capture system cooperates with the device management subsystem, face management subsystem, cloud storage subsystem, abnormal inspection subsystem, data statistics subsystem, human posture recognition subsystem, facial expression recognition subsystem, gesture recognition subsystem, human tracking subsystem, 4G Internet of Things subsystem, key hosting subsystem, video service subsystem, voice service subsystem, memory card service subsystem, sound detection subsystem, post detection subsystem, self-service subsystem and security subsystem to realize automatic portrait capture, human tracking, in-depth analysis and mining, generation of various reports and charts, and preservation of information and query. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] Figure 1 It is a schematic diagram of the three-dimensional structure of the integrated intelligent camera in the present invention.
[0044] Figure 2 It is a structural schematic diagram of some components of the integrated intelligent camera in the present invention.
[0045] Figure 3It is a schematic diagram of the structure of some components of the integrated intelligent camera in the present invention when cut open.
[0046] Figure 4 It is a structural schematic diagram of a partially cutaway integrated intelligent camera in the present invention.
[0047] Figure 5 It is a schematic diagram of the three-dimensional structure of the positioning mechanical arm in the present invention.
[0048] Figure 6 It is a schematic diagram of the framework of the automatic portrait capturing system in the present invention.
[0049] Figure 7 It is a detailed diagram of the framework of the automatic portrait capturing system of the present invention.
[0050] In the figure, 1. base; 2. mechanical arm assembly; 3. rotary motor; 4. rotary seat; 5. main camera assembly; 6. rotary adjustment plate; 7. rotary seat; 8. fixed camera; 9. speaker hole; 10. main control board; 11. rotary motor one; 12. driven inner gear one; 13. driving gear one; 14. rotary installation cylinder; 15. rotary motor two; 16. cooling fan; 17. air inlet; 18. mounting bracket; 19. rotary motor three; 20. wind curtain air outlet plate; 21. main camera; 22. air outlet; 23. installation spherical cylinder; 24. fan motor; 25. driving gear two; 26. driven inner gear two; 27. adjustment mechanical arm; 28. mechanical arm camera; 29. mounting plate. DETAILED DESCRIPTION
[0051] The following are specific embodiments of the present invention and the accompanying drawings to further describe the technical solution of the present invention, but the present invention is not limited to these embodiments.
[0052] like Figure 1-Figure 5 As shown, the integrated intelligent camera includes a base 1, a main control board 10 is provided inside the base 1, four rotary motors 3 symmetrically arranged in pairs are provided on the outer side of the base 1, a rotary seat 4 is fixed on the output shaft of the rotary motor 3, a mechanical arm assembly 2 is provided on the rotary seat 4, a rotating seat assembly is provided at the lower end of the base 1, a fixed camera 8 and a rotating adjustment assembly are provided on the rotating seat assembly, a main camera assembly 5 is provided on the rotating adjustment assembly, and an automatic portrait capture system is provided on the main control board 10.
[0053] Four robotic arm assemblies 2 are installed on the walls and the roof. The robotic arm assemblies 2 are telescopically adjustable to adjust the position and angle of the base 1. The output shaft of the rotation motor 3 drives the rotation seat 4 to rotate, thereby adjusting the position and angle of the base 1. The rotation seat assembly rotates, driving the fixed camera 8 and the rotation adjustment assembly to rotate. The rotation adjustment assembly drives the main camera assembly 5 to rotate to an inclined angle, which is used to cooperate with the fixed camera 8 and the automatic tracking and capturing portrait system to automatically capture portraits.
[0054] The base 1 is cylindrical in shape, and a speaker and a microphone are arranged inside the base 1 . A sound hole 9 is opened on the base 1 , and the speaker and the microphone are located inside the sound hole 9 .
[0055] The speaker is used for sound generation, the microphone is used for sound collection, and the speaker hole 9 is used for communication to avoid sound insulation.
[0056] The rotating seat assembly includes a rotating motor 11 and a rotating mounting cylinder 14. The rotating motor 11 is fixed inside the base 1. A driving tooth 13 is fixed on the output shaft of the rotating motor 11. The rotating mounting cylinder 14 is rotatably arranged at the lower end of the base 1. A driven internal tooth 12 is fixed inside the rotating mounting cylinder 14. The driven internal tooth 12 is meshed with the driving tooth 13.
[0057] The output shaft of the rotating motor 11 drives the driving gear 13 to rotate, and the driven internal gear 12 meshes with the driving gear 13, driving the rotating installation cylinder 14 to rotate at the lower end of the base 1.
[0058] The rotation adjustment assembly includes a rotation motor 15 and two rotation adjustment plates 6. The two rotation adjustment plates 6 are rotatably arranged on both sides of the rotation mounting cylinder 14. The rotation motor 15 is fixed inside the rotation mounting cylinder 14. The output shaft of the rotation motor 15 is fixedly connected to the rotation shaft of one of the rotation adjustment plates 6.
[0059] The output shaft of the second rotary motor 15 drives the rotating shaft of one of the rotary adjustment plates 6 to rotate, thereby driving the two rotary adjustment plates 6 to rotate synchronously on both sides of the rotary installation cylinder 14 .
[0060] The main camera assembly 5 includes a mounting spherical cylinder 23, which is fixed between the two rotating adjustment plates 6. A mounting frame 18 is fixed inside the mounting spherical cylinder 23. A fan motor 24 is fixed on the upper end of the mounting frame 18. The output shaft of the fan motor 24 passes through and extends out of the mounting spherical cylinder 23. A cooling fan 16 is fixed on the output shaft of the fan motor 24. A plurality of air inlet holes 17 are opened on the upper end of the mounting spherical cylinder 23. A dust-blocking cotton layer is provided inside the mounting spherical cylinder 23. The dust-blocking cotton layer is located on the inner side of the plurality of air inlet holes 17. The fan motor 24 is fixed on the lower end of the mounting frame 18. 4. A camera rotating seat is rotatably provided between the lower end of the mounting frame 18 and the mounting spherical cylinder 23. A main camera 21 is fixed to the lower end of the rotating seat. A driven internal gear 26 is fixed on the rotating seat. A rotating motor 3 19 is fixed to the lower end of the mounting frame 18. An active gear 25 is fixed to the output shaft of the rotating motor 3 19. The active gear 25 meshes with the driven internal gear 26. A plurality of air outlet holes 22 are opened at the lower end of the mounting spherical cylinder 23. A semi-arc-shaped wind curtain air outlet plate 20 is fixed to the lower end of the mounting spherical cylinder 23. The wind curtain air outlet plate 20 is located at the lower end of half of the plurality of air outlet holes 22.
[0061] The spherical cylinder 23 is installed and fixed between the two rotating adjustment plates 6. The spherical cylinder 23 is installed as the two rotating adjustment plates 6 rotate. The output shaft of the fan motor 24 drives the cooling fan 16 to rotate, and the external cold air is drawn in through the plurality of air inlet holes 17. After the dust is removed by the dust-blocking cotton layer, clean cold air is obtained and enters the interior of the spherical cylinder 23 to cool down the internal electrical components, and then the internal hot air is discharged through the air outlet holes 22. The wind curtain air outlet plate 20 is located at the lower end of the plurality of air outlet holes 22 of half, forming a wind curtain to block the main camera 21 to prevent dust from falling on the main camera 21. The output shaft of the rotating motor three 19 drives the active gear two 25, and the active gear two 25 is engaged with the driven inner gear two 26, thereby driving the rotating seat to rotate between the lower end of the mounting frame 18 and the spherical cylinder 23, thereby driving the main camera 21 to rotate for automatic tracking and capturing of portraits.
[0062] The robot arm assembly 2 includes a positioning robot arm 27 , which is disposed on the rotation seat 4 . A robot arm camera 28 is disposed on the positioning robot arm 27 , and a mounting plate 29 is fixed to the end of the positioning robot arm 27 .
[0063] The mounting plate 29 is fixed on the wall and the roof; the positioning robot arm 27 is a multi-section electric robot arm with adjustable deformation; the positioning robot arms 27 of the four robot arm assemblies 2 cooperate to adjust the position of the base 1; the robot arm camera 28 cooperates with other cameras to automatically capture the portrait system.
[0064] like Figure 6-Figure 7As shown, the automatic portrait capture system of the integrated intelligent camera includes a device management subsystem, a face management subsystem, a cloud storage subsystem, an abnormal inspection subsystem, a data statistics subsystem, a human posture recognition subsystem, a facial expression recognition subsystem, a gesture recognition subsystem, a human tracking subsystem, a 4G Internet of Things subsystem, a key hosting subsystem, a video service subsystem, a voice service subsystem, a memory card service subsystem, a sound detection subsystem, a job detection subsystem, a self-service subsystem and a security subsystem.
[0065] The equipment management subsystem includes equipment monitoring module, maintenance management module, data analysis module and fault diagnosis module. The equipment monitoring module collects the operation data of the equipment in real time. The operation data includes but is not limited to the key parameters of location, label, temperature, voltage and current, forms a monitoring network, and detects abnormal conditions in time. The maintenance management module automatically generates a maintenance plan based on the frequency of use and operation status of the equipment, reminding technicians to perform routine inspections and maintenance. At the same time, it records detailed information of each maintenance, including but not limited to the cause of the failure, maintenance process, and parts used, to form a maintenance file to provide a reference for future maintenance work. The data analysis module collects equipment operation data, analyzes it, and generates various reports to help management make decisions. The data analysis module is also used to predict equipment failures and improve management levels. The fault diagnosis module uses data analysis and algorithms to automatically identify equipment failures, provide fault alarms and diagnostic suggestions, and help technicians quickly locate problems.
[0066] The face management subsystem includes an album management module, a consumption management module, a VIP identity module and an age analysis module. The album management module is used to collect and classify facial photos; the consumption management module can achieve comprehensive management of the consumer's consumption process, including but not limited to the query, statistics and analysis of consumption records; it helps managers understand consumers' consumption habits and needs, and provides data support for the subsequent formulation of marketing strategies; the VIP customer module intelligently and quickly identifies the purchase status of VIP members according to the level of the member, providing more permissions and services than ordinary users, including but not limited to purchase time, package type, and member status information, so as to carry out member management and service optimization; the age analysis module: identifies and locates the face area in the captured image, extracts the feature information in the face image, the feature information includes but is not limited to skin texture, facial contour, eye and mouth shape, and inputs the extracted feature information into the trained age estimation model, and the model will output an age estimate based on the feature information;
[0067] The cloud storage subsystem is used to transmit the video data captured by the camera to the cloud server through the network. The server stores and manages the video data. Users can access the video data anytime and anywhere through the Internet without physical contact with the camera;
[0068] The abnormal inspection subsystem includes a storage abnormality module, a device offline module, a picture blur module, a brightness abnormality module, a space-time inspection module and an abnormality timely reminder module. The storage abnormality module monitors the storage device in real time to see if there is any abnormality, and determines whether the abnormality reaches the trigger processing condition through a preset threshold or algorithm; the detected abnormal information is recorded, including but not limited to the abnormality type, occurrence time, and impact range; the abnormal record is used for subsequent analysis and troubleshooting; according to the type and severity of the abnormality, appropriate processing measures are taken, including but not limited to data recovery and device restart, and the information is passed to the abnormality timely reminder module; the recorded abnormal data is analyzed to find out potential problems and trends; an abnormality report is generated to provide decision support for system administrators; when the device offline module has an abnormal disconnection or unstable connection during the network connection process, the module can quickly detect and take appropriate processing measures to ensure the normal operation of the device and the continuity of data communication, and pass the information to the abnormality timely reminder module; the picture blur module is a specific component or functional module used to achieve the picture blur effect in the image processing or video processing system, which simulates the image or video Blur processing is performed to achieve a specific visual effect or meet specific application requirements, and the information is passed to the abnormal timely reminder module; when the brightness abnormality module detects abnormal brightness of the picture, it will trigger the corresponding processing mechanism, which includes but is not limited to issuing warnings, adjusting camera parameters and recording abnormal information to ensure the quality of the video picture and the normal operation of the monitoring system, and pass the information to the abnormal timely reminder module; the space-time inspection module combines spatial analysis and time series analysis technology to perform real-time monitoring and early warning of the monitoring area. The system can capture and record real-time images, identify abnormal behaviors, events or changes through algorithm analysis, improve monitoring efficiency and accuracy, and pass the information to the abnormal timely reminder module; after the abnormal timely reminder module receives the information from the storage abnormality module, the equipment offline module, the picture blur module, the brightness abnormality module, and the space-time inspection module, it will issue a reminder or alarm in time so that relevant personnel can respond quickly. The alarm mechanism is not limited to issuing a sound alarm, sending SMS or email reminders, and displaying alarm information in the monitoring system. After receiving the alarm information, the relevant staff will quickly check the monitoring screen, understand the abnormal situation, and take corresponding processing measures.
[0069] The data statistics subsystem includes daily statistics module, monthly statistics module and annual statistics module. The daily statistics module, monthly statistics module and annual statistics module work together to clean, denoise and format the collected data to ensure the accuracy and consistency of the data, identify and analyze video images, extract deeper data information, perform statistical analysis on the processed data, and generate various reports and charts;
[0070] The human posture recognition subsystem includes a fall detection module, a long-term immobility detection module, a timely warning module and an emergency call module. The fall detection module identifies the position and outline of the human body in the image, extracts features related to the fall from the identified human body image, and the feature information includes but is not limited to body posture and motion trajectory. According to the extracted features, a machine learning algorithm is used to determine whether the human body has fallen, and the information is transmitted to the emergency call module; the long-term immobility detection module identifies the target object in the image, continuously tracks it, constructs the motion trajectory of the target object, and determines whether it remains motionless for a period of time according to the motion trajectory of the target object, and transmits the information to the timely warning module; when the timely warning module detects that the human body has not moved for a long time, it will immediately issue a warning signal, and the warning signal includes but is not limited to sound alarms, flashing lights, SMS notifications and email reminders; the module can quickly perform preliminary processing on the warning event, and the preliminary processing method is to record the event details and capture key images or video clips; when the emergency call module detects that the human body has fallen, it will immediately send a distress signal to the preset emergency contact or distress center, and the distress signal contains video images, audio information and geographic location, so that rescue personnel can quickly understand the situation on the scene;
[0071] After the facial expression recognition subsystem detects a human face, the system needs to extract features related to the expression, analyze the facial image captured by the camera, and automatically recognize various human expressions, including but not limited to happiness, sadness, anger, surprise, fear, and disgust;
[0072] The gesture recognition subsystem uses a camera to capture the user's hand movements and recognizes the corresponding gestures through algorithm analysis, thereby realizing the control of the device or command input; gesture feature information includes but is not limited to hand contours, finger joint positions and movement trajectories;
[0073] The human tracking subsystem combines computer vision, pattern recognition and artificial intelligence technologies to accurately track human body trajectories, update the position and movement trajectory of the target in real time, and output the tracking results to the monitoring system or related applications for further analysis and processing;
[0074] The 4G IoT subsystem has a built-in 4G communication IoT card, which enables the camera to be directly connected to the Internet through the base stations of the three major operators, breaking the limitation of traditional surveillance cameras that need to deploy network cables or connect to WiFi, and achieving the purpose of remote monitoring. It is responsible for receiving, storing and processing data transmitted by the camera; through cloud computing and big data technology, it conducts in-depth analysis and mining of surveillance data;
[0075] The key hosting subsystem includes a unified storage management module, a historical password management module and an encrypted transmission module. The unified storage management module is responsible for storing, managing, access controlling and protecting the camera's keys to prevent unauthorized access and data leakage, and conducts security audits, recording the generation, distribution, use and revocation of keys throughout their life cycle for security audits and compliance checks; the historical password management module ensures the security and traceability of keys by recording and saving historical passwords of keys for audits, recovery or compliance checks when necessary; the encrypted transmission module is responsible for securely transmitting keys between the camera and the cloud server, other cameras or user devices, ensuring that the transmitted keys are not tampered with or damaged during transmission, achieving identity authentication between the camera and other devices, and ensuring the authenticity of the identities of both communicating parties;
[0076] The video service subsystem includes an uninterrupted playback module, a multi-terminal universal module, a paging preview module, a multi-channel patrol module and a download module. The uninterrupted playback module ensures that the video captured by the camera can be continuously and stably transmitted and displayed, and collects, processes, transmits and plays the video; the multi-terminal universal module provides a universal driver and communication protocol to ensure the compatibility of the camera in different operating systems and applications on multiple platforms and devices; the paging preview module supports the system or function of previewing multiple camera video streams in multi-page or split-screen mode, when multiple cameras need to be monitored simultaneously; the multi-channel patrol module allows users to switch and preview between different camera video streams to achieve real-time monitoring of multiple monitoring areas; the download module allows users to download video files stored in cameras or recorders to local devices for viewing, saving or further processing.
[0077] The voice service subsystem includes a voice playback module and a recording module. The voice playback module includes a speaker player, which is responsible for converting the stored or received voice information into audible sound output; the recording module is responsible for converting external sound signals into digital signals for storage or transmission;
[0078] The memory card service subsystem includes a video loop saving module, a network disconnection saving module and a recording loop saving module. The video loop saving module is used to loop save the video data on the memory card, and its functions include but are not limited to video loop overwriting, video intelligent management and video efficient storage; the network disconnection saving module is used to save data when the network connection is disconnected or unstable, and its functions include but are not limited to offline storage, data caching and intelligent detection; the recording loop saving module is used to loop save the recording data on the memory card, and its functions include but are not limited to recording loop overwriting, intelligent recording management and support for multiple recording formats;
[0079] The sound detection subsystem includes a crying recognition module and a volume recognition module. The crying recognition module captures the crying of babies through the built-in microphone of the camera. Through the training of a large number of baby crying samples, it has mastered the unique characteristics of baby crying, including but not limited to frequency, timbre, and rhythm. The model will quickly analyze the various dimensional characteristics of the sound and compare them with the learned crying characteristics to determine whether it is the crying of a baby; the volume recognition module converts the captured sound signal into a digital signal through the built-in microphone of the camera, extracts volume-related parameters from the sound signal to obtain the volume of the sound. When the sound exceeds the preset threshold, it automatically reminds customers or employees to lower the volume, and reminds the staff to check whether there is any special situation;
[0080] The job detection subsystem includes a position detection module and an off-post reminder module. The position detection module detects and identifies the position of the target object through the images or video data captured by the camera, using image processing, computer vision and machine learning technology; the off-post reminder module captures the images or video data in the monitoring area in real time through the camera, identifies and tracks the targets in the image, monitors the behavior of employees leaving their jobs, automatically determines that the employees have left their jobs, and triggers a reminder mechanism to help companies understand the work status of employees, discover potential management problems, and optimize work processes.
[0081] The self-service subsystem includes the instruction manual module, function introduction module, maintenance service module, experience hall module and after-sales service module. The instruction manual module integrates the key information of the product's instructions for use, operating guide, technical specifications, and safety precautions in a structured manner to form a clear and easy-to-understand document; the function introduction module elaborates on the various functions of the product and its application scenarios, including but not limited to function description, function demonstration and function comparison, and shows the various functions and advantages of the product to users in various forms such as text, pictures and videos, helping users to better understand the functions and value of the product; the maintenance service module is based on the design of fault detection and maintenance processes. When a fault occurs or maintenance is required, the user submits a maintenance request through the maintenance service module, and the corresponding maintenance process and maintenance plan are automatically matched according to the fault phenomenon and the technical specifications of the product; the experience hall module is based on the design of scene simulation and interactive experience. By placing the product or service in a specific scene, users can experience the function and value of the product through personal experience, including but not limited to the product display area, interactive experience area and consultation and explanation area, showing and understanding the appearance, function and technology of the product; the after-sales service module is based on the design and optimization of the customer service process, including but not limited to customer service request reception, problem diagnosis, solution provision, service execution and feedback collection.
[0082] The security subsystem includes a terminal management module, a data encryption module and an account security module. The terminal management module is mainly responsible for monitoring and managing the terminal devices in the system. Its functions include but are not limited to authentication and authorization of terminal devices, configuration management of terminal devices, monitoring and auditing of terminal devices, and remote management and maintenance. The data encryption module protects the confidentiality and integrity of data by using encryption algorithms and key management strategies. Its functions include but are not limited to data storage encryption, data transmission encryption, key management, selection and implementation of encryption algorithms. The account security module is the key to protecting user accounts from unauthorized access. Its functions include but are not limited to user authentication, permission management, account monitoring and auditing, and password policy management.
[0083] The working principle of the present invention is as follows: the mounting plate 29 is fixedly mounted on the wall and the roof; the positioning mechanical arm 27 is a multi-section electric mechanical arm, which can be adjusted and deformed; the positioning mechanical arms 27 of the four mechanical arm assemblies 2 are telescopically adjusted to cooperate and can adjust the position of the base 1; the output shaft of the rotation motor 3 drives the rotation seat 4 to rotate, thereby adjusting the position and angle of the base 1;
[0084] The output shaft of the rotating motor 11 drives the driving gear 13 to rotate, and the driven internal gear 12 meshes with the driving gear 13, driving the rotating mounting cylinder 14 to rotate at the lower end of the base 1.
[0085] The output shaft of the rotating motor 2 15 drives the rotating shaft of one of the rotating adjustment plates 6 to rotate, and the installing spherical cylinder 23 is fixed between the two rotating adjustment plates 6. The installing spherical cylinder 23 rotates with the two rotating adjustment plates 6. The output shaft of the fan motor 24 drives the cooling fan 16 to rotate, and the external cold air is drawn in through the plurality of air inlet holes 17. After the dust is removed by the dust-proof cotton layer, the clean cold air is obtained and enters the interior of the installing spherical cylinder 23 to cool the internal electrical components, and then the internal hot air is discharged through the air outlet holes 22. The wind curtain air outlet plate 20 is located at the lower end of the plurality of air outlet holes 22 of half, forming a wind curtain, blocking the main camera 21 to prevent dust from falling on the main camera 21. The output shaft of the rotating motor 3 19 drives the active gear 25, and the active gear 25 is meshed with the driven internal gear 26, thereby driving the rotating seat to rotate between the lower end of the mounting frame 18 and the installing spherical cylinder 23, thereby driving the main camera 21 to rotate, which is used for automatically tracking and capturing portraits;
[0086] The equipment management subsystem performs equipment monitoring, maintenance management, data analysis and fault diagnosis; the face management subsystem performs album management, consumption management, VIP identity and age analysis; the cloud storage subsystem transmits the video data captured by the camera to the cloud server through the network; the abnormal inspection subsystem performs storage abnormality detection, equipment disconnection detection, image blur detection, brightness abnormality detection, space-time inspection and abnormality timely reminder; the data statistics subsystem processes the collected data through the cooperation of daily statistics module, monthly statistics module and annual statistics module, performs statistical analysis on the processed data, and generates various reports and charts; the human posture recognition subsystem performs fall detection, long-term inactivity detection, timely warning and emergency call; the facial expression recognition subsystem extracts features related to expression and analyzes facial images captured by the camera; the gesture action recognition subsystem captures the user's hand movements and identifies the corresponding hand movements through algorithm analysis The human tracking subsystem accurately tracks the trajectory of the human body and updates the target's position and movement trajectory in real time. The 4G IoT subsystem uses a built-in 4G communication IoT card to enable the camera to directly connect to the Internet through the base stations of the three major operators. The key hosting subsystem performs unified storage management, historical password management and encrypted transmission. The video service subsystem can perform uninterrupted playback, multi-terminal common, paged preview, multi-channel patrol and download. The voice service subsystem performs voice playback and recording. The memory card service subsystem performs video loop storage, network disconnection storage and audio loop storage. The sound detection subsystem performs crying and volume recognition. The post detection subsystem performs position detection and off-post reminders. The self-service subsystem introduces the manual, function introduction, maintenance service, experience center and after-sales service. The security subsystem performs terminal management, data encryption and account security. It can better automatically track and capture portraits, save information and query.
[0087] In summary, the position and angle of the base 1 are adjusted by telescopic adjustment of the four mechanical arm components 2, and in cooperation with the rotation motor 3 and the rotation seat 4;
[0088] The fixed camera 8 and the rotating adjustment component are driven to rotate by the rotating seat component, and the rotating adjustment component drives the main camera component 5 to rotate to an inclined angle, so that the fixed camera 8 cooperates with the main camera 21 of the main camera component 5 and the mechanical arm camera 28, and cooperates with the automatic tracking and capturing portrait system to automatically capture the portrait, save the information and query;
[0089] The fan motor 24, the cooling fan 16, the air inlet 17, the air outlet 22 and the air curtain air outlet plate 20 cooperate to form an air curtain to block the main camera 21, thereby preventing dust from falling on the main camera 21 and ensuring clear photography;
[0090] The automatic portrait capture system cooperates with the device management subsystem, face management subsystem, cloud storage subsystem, abnormal inspection subsystem, data statistics subsystem, human posture recognition subsystem, facial expression recognition subsystem, gesture recognition subsystem, human tracking subsystem, 4G Internet of Things subsystem, key hosting subsystem, video service subsystem, voice service subsystem, memory card service subsystem, sound detection subsystem, post detection subsystem, self-service subsystem and security subsystem to realize automatic portrait capture, human tracking, in-depth analysis and mining, generation of various reports and charts, and preservation of information and query.
[0091] The specific embodiments described herein are merely examples of the spirit of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in similar ways, but they will not deviate from the spirit of the present invention or exceed the scope defined by the appended claims.
Claims
1. An integrated smart camera, comprising a base (1), characterized in that: The base (1) is provided with a main control board (10) inside, and four rotary motors (3) are symmetrically arranged in pairs on the outside of the base (1), and a rotary seat (4) is fixed on the output shaft of each rotary motor (3), and a mechanical arm assembly (2) is provided on each rotary seat (4), and a rotating seat assembly is provided at the lower end of the base (1), and a fixed camera (8) and a rotating adjustment assembly are provided on the rotating seat assembly, and a main camera assembly (5) is provided on the rotating adjustment assembly, and an automatic portrait capturing system is provided on the main control board (10).
2. The integrated smart camera according to claim 1, characterized in that: The base (1) is cylindrical, a speaker and a microphone are arranged inside the base (1), a speaker hole (9) is opened on the base (1), and the speaker and the microphone are located on the inner side of the speaker hole (9).
3. The integrated smart camera according to claim 2, characterized in that: The rotating seat assembly comprises a rotating motor (11) and a rotating mounting cylinder (14), wherein the rotating motor (11) is fixed inside the base (1), a driving tooth (13) is fixed on the output shaft of the rotating motor (11), the rotating mounting cylinder (14) is rotatably arranged at the lower end of the base (1), a driven internal tooth (12) is fixed inside the rotating mounting cylinder (14), and the driven internal tooth (12) is meshed with the driving tooth (13).
4. The integrated smart camera according to claim 3, characterized in that: The rotation adjustment component comprises a second rotation motor (15) and two rotation adjustment plates (6), wherein the two rotation adjustment plates (6) are rotatably arranged on both sides of a rotation installation cylinder (14), respectively, and the second rotation motor (15) is fixed inside the rotation installation cylinder (14), and the output shaft of the second rotation motor (15) is fixedly connected to the rotation shaft of one of the rotation adjustment plates (6).
5. The integrated smart camera according to claim 4, characterized in that: The main camera assembly (5) includes a mounting spherical cylinder (23), the mounting spherical cylinder (23) is fixed between two rotating adjustment plates (6), a mounting frame (18) is fixed inside the mounting spherical cylinder (23), a fan motor (24) is fixed at the upper end of the mounting frame (18), the output shaft of the fan motor (24) passes through and extends out of the mounting spherical cylinder (23), a cooling fan (16) is fixed on the output shaft of the fan motor (24), a plurality of air inlet holes (17) are opened at the upper end of the mounting spherical cylinder (23), a dust-blocking cotton layer is provided inside the mounting spherical cylinder (23), the dust-blocking cotton layer is located on the inner side of the plurality of air inlet holes (17), and a fan motor is fixed at the lower end of the mounting frame (18). (24), a camera rotating seat is rotatably provided between the lower end of the mounting frame (18) and the mounting spherical cylinder (23), a main camera (21) is fixed at the lower end of the rotating seat, a driven internal tooth 2 (26) is fixed on the rotating seat, a rotating motor 3 (19) is fixed at the lower end of the mounting frame (18), a driving tooth 2 (25) is fixed on the output shaft of the rotating motor 3 (19), the driving tooth 2 (25) is meshed with the driven internal tooth 2 (26), a plurality of air outlet holes (22) are opened at the lower end of the mounting spherical cylinder (23), a semi-arc-shaped wind curtain air outlet plate (20) is fixed at the lower end of the mounting spherical cylinder (23), and the wind curtain air outlet plate (20) is located at the lower end of half of the plurality of air outlet holes (22).
6. The integrated smart camera according to claim 5, characterized in that: The mechanical arm assembly (2) comprises a positioning mechanical arm (27), the positioning mechanical arm (27) is arranged on the rotation seat (4), a mechanical arm camera (28) is arranged on the positioning mechanical arm (27), and a mounting plate (29) is fixed to the end of the positioning mechanical arm (27).
7. An automatic portrait capturing system provided in the integrated intelligent camera according to claim 1, characterized in that: It includes equipment management subsystem, face management subsystem, cloud storage subsystem, abnormal inspection subsystem, data statistics subsystem, human posture recognition subsystem, facial expression recognition subsystem, gesture recognition subsystem, human tracking subsystem, 4G Internet of Things subsystem, key hosting subsystem, video service subsystem, voice service subsystem, memory card service subsystem, sound detection subsystem, post detection subsystem, self-service subsystem and security subsystem.
8. The integrated intelligent camera and automatic portrait capturing system thereof according to claim 7, characterized in that: The equipment management subsystem includes an equipment monitoring module, a maintenance management module, a data analysis module and a fault diagnosis module. The equipment monitoring module collects the operation data of the equipment in real time, including but not limited to key parameters such as position, number, temperature, voltage and current, to form a monitoring network and detect abnormal situations in time; The maintenance management module automatically generates a maintenance plan based on the frequency of use and operating status of the equipment, reminding technicians to perform routine inspections and maintenance. At the same time, it records detailed information on each maintenance, including but not limited to the cause of the failure, maintenance process, and parts used, forming a maintenance file to provide a reference for future maintenance work. The data analysis module collects equipment operation data, analyzes it, and generates various reports to help management make decisions. The data analysis module is also used to predict equipment failures and improve management levels; The fault diagnosis module uses data analysis and algorithms to automatically identify equipment faults, provide fault alarms and diagnostic suggestions, and help technicians quickly locate problems; The face management subsystem includes an album management module, a consumption management module, a VIP identity module and an age analysis module. The album management module is used to collect and classify facial photos; the consumption management module can achieve comprehensive management of the consumer's consumption process, including but not limited to the query, statistics and analysis of consumption records; it helps managers understand consumers' consumption habits and needs, and provides data support for the subsequent formulation of marketing strategies; the VIP customer module intelligently and quickly identifies the purchase status of VIP members according to the level of the member, providing more permissions and services than ordinary users, including but not limited to purchase time, package type, and member status information, so as to carry out member management and service optimization; the age analysis module: identifies and locates the face area in the captured image, extracts the feature information in the face image, the feature information includes but is not limited to skin texture, facial contour, eye and mouth shape, and inputs the extracted feature information into the trained age estimation model, and the model will output an age estimate based on the feature information; The cloud storage subsystem is used to transmit the video data captured by the camera to the cloud server through the network. The server stores and manages the video data. Users can access the video data anytime and anywhere through the Internet without physical contact with the camera; The abnormal inspection subsystem includes a storage abnormality module, a device offline module, a picture blur module, a brightness abnormality module, a space-time inspection module and an abnormality timely reminder module. The storage abnormality module monitors the storage device in real time to see if there is any abnormality, and determines whether the abnormality reaches the trigger processing condition through a preset threshold or algorithm; the detected abnormal information is recorded, including but not limited to the abnormality type, occurrence time, and impact range; the abnormal records are used for subsequent analysis and troubleshooting; according to the type and severity of the abnormality, appropriate processing measures are taken, including but not limited to data recovery and device restart, and the information is passed to the abnormality timely reminder module; the recorded abnormal data is analyzed to find out potential problems and trends; an abnormality report is generated to provide decision support for system administrators; when the device offline module is abnormally disconnected or the connection is unstable during the network connection process, the module can quickly detect and take appropriate processing measures to ensure the normal operation of the equipment and the continuity of data communication, and pass the information to the abnormality timely reminder module; The image blur module is a specific component or functional module used to achieve the image blur effect in the image processing or video processing system. It blurs the image or video to achieve a specific visual effect or meet specific application requirements, and transmits the information to the abnormal timely reminder module; When the brightness abnormality module detects abnormal brightness of the picture, it will trigger the corresponding processing mechanism, which includes but is not limited to issuing warnings, adjusting camera parameters and recording abnormal information to ensure the quality of the video picture and the normal operation of the monitoring system, and transmit the information to the abnormal timely reminder module; The space-time inspection module combines spatial analysis and time series analysis technology to conduct real-time monitoring and early warning of the monitoring area. It can capture and record real-time images, identify abnormal behaviors, events or changes through algorithm analysis, improve monitoring efficiency and accuracy, and pass the information to the abnormal timely reminder module; after the abnormal timely reminder module receives the information from the storage abnormality module, equipment offline module, picture blur module, brightness abnormality module, and space-time inspection module, it will issue a reminder or alarm in time so that relevant personnel can respond quickly. The alarm mechanism includes but is not limited to issuing sound alarms, sending SMS or email reminders, and displaying alarm information in the monitoring system. After receiving the alarm information, the relevant staff will quickly check the monitoring screen, understand the abnormal situation, and take corresponding measures.
9. The automatic portrait capturing system of an integrated intelligent camera according to claim 8, characterized in that: The data statistics subsystem includes a daily statistics module, a monthly statistics module and an annual statistics module. The daily statistics module, the monthly statistics module and the annual statistics module cooperate to clean, denoise and format the collected data to ensure the accuracy and consistency of the data, identify and analyze the video images, extract deeper data information, perform statistical analysis on the processed data, and generate various reports and charts; The human posture recognition subsystem includes a fall detection module, a long-term immobility detection module, a timely warning module, and an emergency call module. The fall detection module identifies the position and outline of the human body in the image, and extracts features related to the fall from the identified human body image. The feature information includes but is not limited to body posture and motion trajectory. Based on the extracted features, a machine learning algorithm is used to determine whether the human body has fallen, and the information is transmitted to the emergency call module. The long-term immobility detection module identifies the target object in the image, continuously tracks it, constructs the motion trajectory of the target object, determines whether it remains stationary for a period of time based on the motion trajectory of the target object, and transmits the information to the timely warning module; When the timely warning module detects that a person has not moved for a long time, it will immediately send out a warning signal, which includes but is not limited to sound alarms, flashing lights, SMS notifications and email reminders; the module can quickly perform preliminary processing on the warning event, and the preliminary processing method is to record the event details and capture key images or video clips; When the emergency call module detects a human fall, it will immediately send a distress signal to the preset emergency contact or rescue center. The distress signal contains video images, audio information and geographic location, so that rescuers can quickly understand the situation on the scene; After the facial expression recognition subsystem detects a human face, the system needs to extract features related to the expression, analyze the facial image captured by the camera, and automatically recognize various human expressions, including but not limited to happiness, sadness, anger, surprise, fear, and disgust; The gesture recognition subsystem uses a camera to capture the user's hand movements and recognizes the corresponding gestures through algorithm analysis, thereby realizing the control of the device or command input; gesture feature information includes but is not limited to hand contours, finger joint positions and movement trajectories; The human tracking subsystem combines computer vision, pattern recognition and artificial intelligence technologies to accurately track human body trajectories, update the position and movement trajectory of the target in real time, and output the tracking results to the monitoring system or related applications for further analysis and processing; The 4G IoT subsystem has a built-in 4G communication IoT card, which enables the camera to be directly connected to the Internet through the base stations of the three major operators, breaking the limitation of traditional surveillance cameras that need to deploy network cables or connect to WiFi, and achieving the purpose of remote monitoring. It is responsible for receiving, storing and processing data transmitted by the camera; through cloud computing and big data technology, it conducts in-depth analysis and mining of surveillance data; The key escrow subsystem includes a unified storage management module, a historical password management module and an encrypted transmission module. The unified storage management module is responsible for storing, managing, access controlling and protecting the camera's keys to prevent unauthorized access and data leakage, and conducts security audits, recording the generation, distribution, use and revocation of keys throughout their life cycle for security audits and compliance checks; the historical password management module ensures the security and traceability of keys by recording and saving historical passwords of keys for audit, recovery or compliance checks when necessary; The encryption transmission module is responsible for securely transmitting keys between the camera and the cloud server, other cameras or user devices, ensuring that the transmitted keys are not tampered with or damaged during the transmission process, realizing identity authentication between the camera and other devices, and ensuring the authenticity of the identities of both communicating parties; The video service subsystem includes an uninterrupted playback module, a multi-terminal universal module, a paging preview module, a multi-channel patrol module, and a download module. The uninterrupted playback module ensures that the video captured by the camera can be continuously and stably transmitted and displayed, and collects, processes, transmits, and plays the video; the multi-terminal universal module provides a universal driver and communication protocol to ensure the compatibility of the camera in different operating systems and applications on multiple platforms and devices; The paging preview module supports systems or functions that preview multiple camera video streams in multi-page or split-screen mode, in cases where multiple cameras need to be monitored simultaneously; The multi-channel patrol module allows users to switch and preview between different camera video streams, achieving real-time monitoring of multiple surveillance areas; The download module allows users to download video files stored in cameras or recorders to local devices for viewing, saving or further processing.
10. The automatic portrait capturing system of an integrated intelligent camera according to claim 9, characterized in that: The voice service subsystem includes a voice playback module and a recording module. The voice playback module includes a speaker player, which is responsible for converting the stored or received voice information into audible sound output; the recording module is responsible for converting the external sound signal into a digital signal for storage or transmission; The memory card service subsystem includes a video loop saving module, a network disconnection saving module and a recording loop saving module. The video loop saving module is used to loop save the video data on the memory card, and its functions include but are not limited to video loop overwriting, video intelligent management and video efficient storage; the network disconnection saving module is used to save data when the network connection is disconnected or unstable, and its functions include but are not limited to offline storage, data caching and intelligent detection; The recording loop saving module is used to loop save the recording data on the memory card. Its functions include but are not limited to recording loop overwriting, intelligent recording management and support for multiple recording formats. The sound detection subsystem includes a crying recognition module and a volume recognition module. The crying recognition module captures the crying of babies through the built-in microphone of the camera. Through the training of a large number of baby crying samples, it has mastered the unique characteristics of baby crying, including but not limited to frequency, timbre, and rhythm. The model will quickly analyze the various dimensional characteristics of the sound and compare them with the learned crying characteristics to determine whether it is the crying of a baby; the volume recognition module converts the captured sound signal into a digital signal through the built-in microphone of the camera, extracts volume-related parameters from the sound signal to obtain the volume of the sound. When the sound exceeds the preset threshold, it automatically reminds customers or employees to lower the volume, and reminds the staff to check whether there is any special situation; The post detection subsystem includes a position detection module and an off-post reminder module. The position detection module detects and identifies the position of the target object through the image or video data captured by the camera, using image processing, computer vision and machine learning technology; The off-duty reminder module uses a camera to capture images or video data in the monitoring area in real time, identifies and tracks targets in the image, monitors employees' behavior of leaving their jobs, automatically determines that employees have left their jobs, and triggers a reminder mechanism to help companies understand employees' work status, discover potential management problems, and optimize work processes. The self-service subsystem includes the instruction manual module, function introduction module, maintenance service module, experience hall module and after-sales service module. The instruction manual module integrates the key information of the product's instructions for use, operating guide, technical specifications, and safety precautions in a structured manner to form a clear and easy-to-understand document; the function introduction module elaborates on the various functions of the product and its application scenarios, including but not limited to function description, function demonstration and function comparison, and shows the various functions and advantages of the product to users in various forms such as text, pictures and videos, helping users to better understand the functions and value of the product; the maintenance service module is based on the design of fault detection and maintenance processes. When a fault occurs or maintenance is required, the user submits a maintenance request through the maintenance service module, and the corresponding maintenance process and maintenance plan are automatically matched according to the fault phenomenon and the technical specifications of the product; the experience hall module is based on the design of scene simulation and interactive experience. By placing the product or service in a specific scene, users can experience the function and value of the product through personal experience, including but not limited to the product display area, interactive experience area and consultation and explanation area, showing and understanding the appearance, function and technology of the product; the after-sales service module is based on the design and optimization of the customer service process, including but not limited to customer service request reception, problem diagnosis, solution provision, service execution and feedback collection. The security subsystem includes a terminal management module, a data encryption module and an account security module. The terminal management module is mainly responsible for monitoring and managing the terminal devices in the system. Its functions include but are not limited to authentication and authorization of terminal devices, configuration management of terminal devices, monitoring and auditing of terminal devices, and remote management and maintenance. The data encryption module protects the confidentiality and integrity of data by using encryption algorithms and key management strategies. Its functions include but are not limited to data storage encryption, data transmission encryption, key management, selection and implementation of encryption algorithms. The account security module is the key to protecting user accounts from unauthorized access. Its functions include but are not limited to user authentication, permission management, account monitoring and auditing, and password policy management.