Motion Sensors and Human Body Detectors are playing important roles in the field of smart security. For example, Homerda Human Body Detector. Homerda is a company specializing in the development of high-performance, high-sensitivity motion, and human detection sensors. The Human Body Detector developed and produced by Homerda can detect tiny movements of the human body with extremely high sensitivity, such as breathing perception, and accurately determine whether a person exists. Whether the human body is in motion or sitting still, it can accurately sense it. Planar antenna technology effectively reduces the overall size and can be widely used in smart homes, smart lighting, security and monitoring and other fields. For example, in the field of smart home, it can be integrated with the smart home system to realize the induction switch control of human micro-movement, movement, etc.; in the field of smart lighting, it can be integrated with the lighting system to recognize human induction control and improve the intelligence and energy-saving effect of the lighting system; in the field of security and smart monitoring, it can be integrated with the security monitoring system to realize the detection and tracking of human targets and improve the accuracy and real-time performance of security monitoring. Multiple scenarios, especially in the field of smart security, demand the daily use of Motion Sensors and Human Body Detectors. 1. Application of Motion Sensor Human Body Detector in Hotel Scenarios In hotel scenarios, human presence sensing has a wide range of applications. (1) For example, the cardless power-on function allows guests to automatically access electricity without inserting a card when they arrive at the guest room after checking in. When it is detected that there is no one in the room, the power is automatically cut off, and the air conditioner, lights, and other related smart devices in the room are turned off. When judging whether to extend the stay or check out, the room occupancy status is judged by sensing whether there is someone in the room, which helps the manager to judge whether the room is checked out or temporarily away and notify the hotel room service staff to clean the room. (2) Smart product linkage control can participate in the hotel multi-scene smart linkage control of lights, air conditioners, TVs, etc., to enhance the smart check-in experience of guests. In the conference room, when someone enters, the lights and related conference equipment are automatically turned on, the conference room usage status is displayed, and the power supply of the equipment is turned off after confirming that there is no one, which helps save energy and reduce costs. In terms of hotel smart security, the human presence sensing radar can identify and monitor people entering and leaving a certain floor and can cooperate with the camera to trigger the linkage application. If there is an abnormal situation, an alarm prompt will be issued to the hotel operator to improve the safety of living. Homerda Human Body Detector, with its unique millimeter-wave radar technology, achieves the intelligent lighting effect of turning on the lights when people come and turning off the lights when people leave, which greatly improves the customer's accommodation experience and opens up a new path for energy saving and consumption reduction in hotels. It can sense the presence of the human body more accurately and stably, like an invisible guard guarding every corner of the room. Micradar human presence sensing module integrates high-performance radar and high-performance MCU on a single chip. It has powerful performance and large-capacity algorithms that can cover a variety of scenes in social life. It also supports a variety of development environments. It can be developed directly using the installation instructions, or it can be developed through the SDK for secondary development to meet the needs of multi-product linkage and user-defined scenes. As an intelligent product, Homerda Human Body Detector can not only detect the presence of dynamic human bodies but also detect the presence of static human bodies, bringing users a richer whole-house smart experience. In terms of interfaces, it provides dry contacts, strong power, and 485 diversified interfaces, and the communication method can also support a variety of mainstream communication methods such as Tuya/Private Cloud/NB. The current radar sensor NB version is equipped with a 24G/60G radar sensor module and a built-in mobile SIM card to better meet customer communication connection requirements. In the field of smart homes and smart hotels, human presence sensor technology can be applied to scenarios such as cardless power supply and smart linkage. According to the presence of human beings in the guest room, the indoor environment can be intelligently adjusted to improve customer experience. By connecting with the hotel management system, intelligent management of guest room electricity consumption can be achieved, management efficiency can be improved, and resource waste can be avoided. 2. Intelligent security measures for bank monitoring scenarios Analysis of the current status of bank security shows that with the continuous development of the banking business, the demand for security prevention is increasing, and the use scope and demand of Motion Sensor Human Body Detector equipment in the banking industry are becoming more and more extensive. (3) Traditional security means such as manual patrols and simulated monitoring have problems such as low efficiency and easy omissions, which are difficult to meet the security needs of modern banks. Intelligent monitoring and security technology have emerged, and its development trends include high-definition and intelligent video monitoring, security system integration and platform migration, and the application of big data, cloud computing, and other technologies. In bank monitoring scenarios, intelligent monitoring and security measures include the use of high-definition smart cameras to provide high-resolution and high-definition video images, support intelligent recognition, behavior analysis,s, and other functions; use efficient video compression and storage technology to achieve large-scale video data storage, management, and rapid retrieval; support remote real-time viewing, control and retrieval of video images, and facilitate all-round monitoring of various areas of the bank. (4) The application of IoT sensor technology includes smoke sensors that monitor smoke concentration in real-time, detect fire in time, and alarms to prevent fire accidents. Temperature and humidity sensors that monitor the temperature and humidity environment inside the bank in real-time to ensure the normal storage and operation of cultural relics and equipment; access control sensors that monitor access control status in real-time, record the entry and exit of personnel, and ensure the safety of the bank. The application of artificial intelligence and big data analysis technology includes intelligent recognition and behavior analysis. Through artificial intelligence technology, video images are intelligently recognized and analyzed for behavior, abnormal events are detected in time, and alarms are issued; face recognition and identity authentication. Through face recognition technology, identity authentication and records are performed on people entering the bank to improve the security and management efficiency of the bank; data mining,g and predictive analysis. Using big data analysis technology, deep mining and predictive analysis of bank security data are carried out to provide scientific security decision support for the bank. (5) The bank's intelligent monitoring and security solution also includes the overall architecture design ideas and characteristics. With intelligent monitoring as the core, it realizes all-round and no-dead-angle security monitoring of the bank through high-definition video acquisition, intelligent analysis, big data processing, and other technical means. The system has the characteristics of high integration, intelligence, and scalability. The introduction and implementation methods of key functional modules include the video acquisition module which uses high-definition cameras to achieve real-time monitoring of various areas inside and outside the bank, and supports remote viewing and playback functions; the intelligent analysis module performs intelligent analysis of the video to detect abnormal situations promptly. 3. Security Management Methods in Smart Community Scenarios In smart community scenarios, security management methods mainly include the application of smart access control systems. Motion Sensor Human Body Detector can provide customized services according to different usage requirements, thereby further improving the safety and convenience of community management. (6) A smart access control system is a new type of modern security management system that achieves a good integration of modern security management technology and automatic identification technology. It plays a vital role in the security management of entrances and exits of buildings and communities. Through the application of smart access control systems, malicious intrusions by illegal personnel can be effectively prevented, further improving the security of smart communities. For example, the video access control system installs an access control video integrated machine at the gate of the smart community or on the doors of each unit. Residents can use their ID cards, resident cards, etc. to register, and then they can swipe the card to open the door through IC cards, mobile phone APPs, etc. When a stranger is detected entering the smart community, the first entry time point of the stranger at the entrance of the smart community is recorded, and the facial image of the stranger is collected by the first image acquisition device set at the entrance of the smart community, and the first entry time point of the stranger at the entrance of the smart community is collected, the facial image is associated with the first entry time point, and recorded in a preset storage node. When it is detected that the user to be identified is at the entrance of the building, the facial image to be identified of the user to be identified is collected by the second image acquisition device set at the entrance of the building, and the facial image to be identified is sent to the preset storage node. If it is detected that the facial image to be identified is consistent with the facial image, the time point of collecting the facial image to be identified is used as the second entry time point. When it is detected that the interval between the first entry time point and the second entry time point is less than the standard arrival time, a notification is sent to the stranger through the voice playback device set at the entrance of the building, which is used to inform the stranger that it is forbidden to wear a cover inside the building. When it is detected that the stranger is still wearing a cover inside the building, an alarm investigation event that the stranger is a dangerous user is generated. A security management method and system for a smart community, when detecting a stranger entering the smart community, records the first entry time point of the stranger at the entrance of the smart community, including using a first image acquisition device set at the entrance of the smart community to capture the facial image of the stranger when detecting the stranger entering the smart community, and collecting the first entry time point of the stranger at the entrance of the smart community, associating the facial image with the first entry time point, and recording it to a preset storage node. After associating the facial image with the first entry time point and recording it to the preset storage node, it also includes using a second image acquisition device set at the entrance of the building to capture the facial image of the user to be identified when detecting that the user to be identified is at the entrance of the building, sending the facial image to be identified to the preset storage node, and if it is detected that the facial image to be identified is consistent with the facial image, the time point of capturing the facial image to be identified is used as the second entry time point. When it is detected that the interval between the first entry time point and the second entry time point is less than the standard arrival time, a notification is sent to the stranger through a voice playback device set at the building entrance, including detecting the interval between the first entry time point and the second entry time point and determining the standard arrival time between the community entrance and the building entrance from a pre-recorded arrival time set, wherein the arrival time set records the time between a normal stranger user from the community entrance to each building, and if it is detected that the interval is less than the standard arrival time, a notification is sent to the stranger through a voice playback device set at the building entrance. Determining the standard arrival time between the community entrance and the building entrance from a pre-recorded arrival time set includes determining the standard arrival time between the community entrance and the building entrance from a pre-recorded arrival time set, wherein the arrival time set records the time between a normal stranger user from the community entrance to each building. (7) A smart community security management method, including receiving the visitor's certification information. The certification information is portrait information or access information, the access information at least includes the access address, if the certification information is portrait information, then the visitor's portrait information is compared with the portrait information in a preset portrait information database, and then the electric door is controlled according to the comparison result; if the certification information is access information, then the access information is sent to the resident smart terminal corresponding to the access address, and then the electric door is controlled according to the feedback corresponding to the resident smart terminal. The access information also includes the name of the visitor. The method also includes receiving the pre-authentication information sent by the resident smart terminal and storing the pre-authentication information in a preset pre-authentication information library. The pre-authentication information at least includes the visitor's name and the address to be visited. If the target pre-authentication information exists in the pre-authentication information library, the visitor's name corresponding to the target pre-authentication information is consistent with the visitor's name corresponding to the access information, and the address to be visited corresponding to the target pre-authentication information is consistent with the access address corresponding to the access information, then the electric door is started to release. Otherwise, according to the correspondence between the preset address and the resident smart terminal, the access information is sent to the resident smart terminal corresponding to the access address, and the feedback from the resident smart terminal is received. (8) The smart community security management method includes receiving a personal query request sent by a command terminal. The person query request includes facial image information and the time of disappearance, retrieving monitoring information after the time of disappearance from a preset monitoring video database, the monitoring information includes the monitoring video, the identity identification and location information of the monitoring terminal corresponding to the monitoring video, querying the video clips in the retrieved monitoring information in which the facial image matching the facial image appears in the monitoring video. And recording the recording time corresponding to each video clip, selecting the location information in order from early to late according to the recording time corresponding to each video clip and the location information of the monitoring terminal corresponding to each video clip, forming a location information list, querying the routes between two adjacent location information in the location information list in a preset community map, all the queried routes forming a motion trajectory, marking the location information and the motion trajectory of the monitoring terminal corresponding to the video clip in the community map, and sending the queried video clip and the marked community map to the command terminal. 4. Security measures for smart hospital scenarios Smart hospital network security is crucial to hospitals. (9) Smart hospitals rely on various information systems for daily operations, and network security is crucial to ensuring the stable operation of the system. Smart hospitals involve a large amount of patient privacy data and medical business data. Network security is the key to ensuring that data is not leaked, tampered with, or destroyed. Medical industry regulations have strict requirements for data security protection. Smart hospitals must comply with relevant regulations to ensure compliance operations. The current challenges and problems include technical challenges. Smart hospitals involve a wide variety of technologies, and network security protection requires cross-domain technical capabilities; legal risks. Medical industry regulations are constantly improving, and the requirements for smart hospital network security are also getting higher and higher. Violations of regulations may face serious legal consequences; and management challenges. Smart hospital business is complex, involving multiple departments and personnel, and network security management is difficult. Infrastructure security protection strategies include network architecture design and optimization. According to business needs and security levels, the hospital network is divided into different security areas to achieve logical isolation between business and data. Redundancy and disaster recovery solutions for key equipment: redundant configuration of key equipment such as core switches, routers, and firewalls to ensure that business is not interrupted when equipment fails. A regular data backup mechanism is established, and multiple backup methods are used to ensure data integrity and recoverability. A remote disaster recovery center is established to achieve real-time synchronization of business data and disaster recovery capabilities. Physical environment security of the data center: strict management of the entrances and exits of the data center, access control systems, video surveillance, and other measures are used to prevent unauthorized personnel from entering, and real-time monitoring of environmental parameters such as temperature, humidity, and smoke in the data center to ensure the safety of the equipment operating environment. Dual-circuit power supply, UPS uninterruptible power supply, generator,s, and other measures are used to ensure that the data center can still operate normally when the city power fails. (10) Information system security protection strategies include information system vulnerability risk assessment. Regular comprehensive vulnerability scanning of hospital information systems, identification of potential security risks, risk assessment of discovered vulnerabilities, determination of vulnerability damage and priority of emergency treatment, and timely adoption of patching measures based on risk assessment results, including system upgrades, patching, configuration modifications, etc.; intrusion detection and prevention technical means, deployment of intrusion detection systems, real-time monitoring of network traffic and events, detection of abnormal behavior and timely alarm, configuration of efficient firewalls, filtering of illegal access and malicious attacks, protection of hospital information system security, regular security audits of hospital information systems, inspection of system logs and operation records, and discovery of potential security issues. data encryption transmission and storage solutions, using encryption technologies such as SSL/TLS to ensure that data in hospital information systems is not stolen or tampered with during transmission, encryption, and storage of sensitive data in hospital information systems to prevent data leakage or illegal access, and establishment of a sound key management system to ensure the security and availability of encryption keys. (11) Application software security protection strategies include application software vulnerability patching and update management. Regularly use professional vulnerability scanning tools to conduct comprehensive scans of application software to promptly discover potential security risks. Establish a complete patch management mechanism to ensure that application software can be updated to the latest version promptly and fix known vulnerabilities. For serious vulnerabilities discovered, the emergency response mechanism should be immediately activated and an expert team should be organized to quickly deal with them to ensure system security. User authority management and identity authentication mechanisms should be implemented to assign the minimum necessary authority to each user to avoid security risks caused by authority abuse and misoperation. Multi-factor identity authentication methods should be used to ensure the authenticity and legitimacy of user identities. Establish a comprehensive network security strategy, including network access control, intrusion detection and prevention, security auditing and monitoring, etc., to ensure the security and stability of the hospital network system. (12) Use advanced firewall technology to isolate and control access to the hospital's internal and external networks to prevent unauthorized access and data leakage. Use encryption transmission technologies such as SSL/TLS to ensure the security of the hospital's internal systems and data during transmission. Use data encryption technology to encrypt and store key hospital data to ensure the security of data during storage. Develop a comprehensive privacy protection plan, including patient information desensitization, data use, and sharing specifications, etc., to protect the privacy rights of patients. Establish a regular data backup and rapid recovery mechanism to ensure the recoverability of hospital data in unexpected situations. Establish a comprehensive disaster recovery plan, including data backup, system recovery, business continuity assurance, etc., to ensure that the hospital can quickly resume normal operations when a major disaster occurs. Develop a detailed emergency response plan, and clarify the emergency response process, responsible persons, contact information, etc., to ensure timely response and handling when a network security incident occurs. Conduct regular safety drills and training to improve the safety awareness and emergency response capabilities of hospital employees.

Motion Sensors and Human Body Detectors are playing important roles in the field of smart security. For example, Homerda Human Body Detector. Homerda is a company specializing in the development of high-performance, high-sensitivity motion, and human detection sensors.

The Human Body Detector developed and produced by Homerda can detect tiny movements of the human body with extremely high sensitivity, such as breathing perception, and accurately determine whether a person exists. Whether the human body is in motion or sitting still, it can accurately sense it. Planar antenna technology effectively reduces the overall size and can be widely used in smart homes, smart lighting, security and monitoring, and other fields.

For example, in the field of smart home, it can be integrated with the smart home system to realize the induction switch control of human micro-movement, movement, etc.; in the field of smart lighting, it can be integrated with the lighting system to recognize human induction control and improve the intelligence and energy-saving effect of the lighting system; in the field of security and smart monitoring, it can be integrated with the security monitoring system to realize the detection and tracking of human targets and improve the accuracy and real-time performance of security monitoring.

Multiple scenarios, especially in the field of smart security, demand the daily use of Motion Sensors and Human Body Detectors.

1. Application of Motion Sensor Human Body Detector in Hotel Scenarios

In hotel scenarios, human presence sensing has a wide range of applications.

(1) For example, the cardless power-on function allows guests to automatically access electricity without inserting a card when they arrive at the guest room after checking in.

When it is detected that there is no one in the room, the power is automatically cut off, and the air conditioner, lights, and other related smart devices in the room are turned off. When judging whether to extend the stay or check out, the room occupancy status is judged by sensing whether there is someone in the room, which helps the manager to judge whether the room is checked out or temporarily away and notify the hotel room service staff to clean the room.

(2) Smart product linkage control can participate in the hotel multi-scene smart linkage control of lights, air conditioners, TVs, etc., to enhance the smart check-in experience of guests.

In the conference room, when someone enters, the lights and related conference equipment are automatically turned on, the conference room usage status is displayed, and the power supply of the equipment is turned off after confirming that there is no one, which helps save energy and reduce costs. In terms of hotel smart security, the human presence sensing radar can identify and monitor people entering and leaving a certain floor and can cooperate with the camera to trigger the linkage application. If there is an abnormal situation, an alarm prompt will be issued to the hotel operator to improve the safety of living.

Homerda Human Body Detector, with its unique millimeter-wave radar technology, achieves the intelligent lighting effect of turning on the lights when people come and turning off the lights when people leave, which greatly improves the customer’s accommodation experience and opens up a new path for energy saving and consumption reduction in hotels.

It can sense the presence of the human body more accurately and stably, like an invisible guard guarding every corner of the room. Micradar human presence sensing module integrates high-performance radar and high-performance MCU on a single chip. It has powerful performance and large-capacity algorithms that can cover a variety of scenes in social life. It also supports a variety of development environments. It can be developed directly using the installation instructions, or it can be developed through the SDK for secondary development to meet the needs of multi-product linkage and user-defined scenes.

As an intelligent product, Homerda Human Body Detector can not only detect the presence of dynamic human bodies but also detect the presence of static human bodies, bringing users a richer whole-house smart experience.

In terms of interfaces, it provides dry contacts, strong power, and 485 diversified interfaces, and the communication method can also support a variety of mainstream communication methods such as Tuya/Private Cloud/NB. The current radar sensor NB version is equipped with a 24G/60G radar sensor module and a built-in mobile SIM card to better meet customer communication connection requirements. In the field of smart homes and smart hotels, human presence sensor technology can be applied to scenarios such as cardless power supply and smart linkage.

According to the presence of human beings in the guest room, the indoor environment can be intelligently adjusted to improve customer experience. By connecting with the hotel management system, intelligent management of guest room electricity consumption can be achieved, management efficiency can be improved, and resource waste can be avoided.

2. Intelligent security measures for bank monitoring scenarios

(3) Traditional security means such as manual patrols and simulated monitoring have problems such as low efficiency and easy omissions, which are difficult to meet the security needs of modern banks.

Analysis of the current status of bank security shows that with the continuous development of the banking business, the demand for security prevention is increasing, and the use scope and demand of Motion Sensor Human Body Detector equipment in the banking industry are becoming more and more extensive.

Intelligent monitoring and security technology have emerged, and its development trends include high-definition and intelligent video monitoring, security system integration and platform migration, and the application of big data, cloud computing, and other technologies. In bank monitoring scenarios, intelligent monitoring and security measures include the use of high-definition smart cameras to provide high-resolution and high-definition video images, support intelligent recognition, behavior analysis,s, and other functions; use efficient video compression and storage technology to achieve large-scale video data storage, management, and rapid retrieval; support remote real-time viewing, control and retrieval of video images, and facilitate all-round monitoring of various areas of the bank.

(4) The application of IoT sensor technology includes smoke sensors that monitor smoke concentration in real-time, detect fire in time, and alarms to prevent fire accidents.

Temperature and humidity sensors that monitor the temperature and humidity environment inside the bank in real-time to ensure the normal storage and operation of cultural relics and equipment; access control sensors that monitor access control status in real-time, record the entry and exit of personnel, and ensure the safety of the bank.

The application of artificial intelligence and big data analysis technology includes intelligent recognition and behavior analysis. Through artificial intelligence technology, video images are intelligently recognized and analyzed for behavior, abnormal events are detected in time, and alarms are issued; face recognition and identity authentication.

Through face recognition technology, identity authentication and records are performed on people entering the bank to improve the security and management efficiency of the bank; data mining,g and predictive analysis. Using big data analysis technology, deep mining and predictive analysis of bank security data are carried out to provide scientific security decision support for the bank.

(5) The bank’s intelligent monitoring and security solution also includes the overall architecture design ideas and characteristics.

With intelligent monitoring as the core, it realizes all-round and no-dead-angle security monitoring of the bank through high-definition video acquisition, intelligent analysis, big data processing, and other technical means. The system has the characteristics of high integration, intelligence, and scalability.

The introduction and implementation methods of key functional modules include the video acquisition module which uses high-definition cameras to achieve real-time monitoring of various areas inside and outside the bank, and supports remote viewing and playback functions; the intelligent analysis module performs intelligent analysis of the video to detect abnormal situations promptly.

3. Security Management Methods in Smart Community Scenarios

In smart community scenarios, security management methods mainly include the application of smart access control systems. Motion Sensor Human Body Detector can provide customized services according to different usage requirements, thereby further improving the safety and convenience of community management.

(6) A smart access control system is a new type of modern security management system that achieves a good integration of modern security management technology and automatic identification technology.

It plays a vital role in the security management of entrances and exits of buildings and communities.

Through the application of smart access control systems, malicious intrusions by illegal personnel can be effectively prevented, further improving the security of smart communities. For example, the video access control system installs an access control video integrated machine at the gate of the smart community or on the doors of each unit. Residents can use their ID cards, resident cards, etc. to register, and then they can swipe the card to open the door through IC cards, mobile phone APPs, etc.

When a stranger is detected entering the smart community, the first entry time point of the stranger at the entrance of the smart community is recorded, and the facial image of the stranger is collected by the first image acquisition device set at the entrance of the smart community, and the first entry time point of the stranger at the entrance of the smart community is collected, the facial image is associated with the first entry time point, and recorded in a preset storage node.

When it is detected that the user to be identified is at the entrance of the building, the facial image to be identified of the user to be identified is collected by the second image acquisition device set at the entrance of the building, and the facial image to be identified is sent to the preset storage node.

If it is detected that the facial image to be identified is consistent with the facial image, the time point of collecting the facial image to be identified is used as the second entry time point.

When it is detected that the interval between the first entry time point and the second entry time point is less than the standard arrival time, a notification is sent to the stranger through the voice playback device set at the entrance of the building, which is used to inform the stranger that it is forbidden to wear a cover inside the building. When it is detected that the stranger is still wearing a cover inside the building, an alarm investigation event that the stranger is a dangerous user is generated.

A security management method and system for a smart community, when detecting a stranger entering the smart community, records the first entry time point of the stranger at the entrance of the smart community, including using a first image acquisition device set at the entrance of the smart community to capture the facial image of the stranger when detecting the stranger entering the smart community, and collecting the first entry time point of the stranger at the entrance of the smart community, associating the facial image with the first entry time point, and recording it to a preset storage node.

After associating the facial image with the first entry time point and recording it to the preset storage node, it also includes using a second image acquisition device set at the entrance of the building to capture the facial image of the user to be identified when detecting that the user to be identified is at the entrance of the building, sending the facial image to be identified to the preset storage node, and if it is detected that the facial image to be identified is consistent with the facial image, the time point of capturing the facial image to be identified is used as the second entry time point.

When it is detected that the interval between the first entry time point and the second entry time point is less than the standard arrival time, a notification is sent to the stranger through a voice playback device set at the building entrance, including detecting the interval between the first entry time point and the second entry time point and determining the standard arrival time between the community entrance and the building entrance from a pre-recorded arrival time set, wherein the arrival time set records the time between a normal stranger user from the community entrance to each building, and if it is detected that the interval is less than the standard arrival time, a notification is sent to the stranger through a voice playback device set at the building entrance.

Determining the standard arrival time between the community entrance and the building entrance from a pre-recorded arrival time set includes determining the standard arrival time between the community entrance and the building entrance from a pre-recorded arrival time set, wherein the arrival time set records the time between a normal stranger user from the community entrance to each building.

(7) A smart community security management method, including receiving the visitor’s certification information.

The certification information is portrait information or access information, the access information at least includes the access address, if the certification information is portrait information, then the visitor’s portrait information is compared with the portrait information in a preset portrait information database, and then the electric door is controlled according to the comparison result; if the certification information is access information, then the access information is sent to the resident smart terminal corresponding to the access address, and then the electric door is controlled according to the feedback corresponding to the resident smart terminal.

The access information also includes the name of the visitor. The method also includes receiving the pre-authentication information sent by the resident smart terminal and storing the pre-authentication information in a preset pre-authentication information library.

The pre-authentication information at least includes the visitor’s name and the address to be visited. If the target pre-authentication information exists in the pre-authentication information library, the visitor’s name corresponding to the target pre-authentication information is consistent with the visitor’s name corresponding to the access information, and the address to be visited corresponding to the target pre-authentication information is consistent with the access address corresponding to the access information, then the electric door is started to release.

Otherwise, according to the correspondence between the preset address and the resident smart terminal, the access information is sent to the resident smart terminal corresponding to the access address, and the feedback from the resident smart terminal is received.

(8) The smart community security management method includes receiving a personal query request sent by a command terminal.

The person query request includes facial image information and the time of disappearance, retrieving monitoring information after the time of disappearance from a preset monitoring video database, the monitoring information includes the monitoring video, the identity identification and location information of the monitoring terminal corresponding to the monitoring video, querying the video clips in the retrieved monitoring information in which the facial image matching the facial image appears in the monitoring video.

And recording the recording time corresponding to each video clip, selecting the location information in order from early to late according to the recording time corresponding to each video clip and the location information of the monitoring terminal corresponding to each video clip, forming a location information list, querying the routes between two adjacent location information in the location information list in a preset community map, all the queried routes forming a motion trajectory, marking the location information and the motion trajectory of the monitoring terminal corresponding to the video clip in the community map, and sending the queried video clip and the marked community map to the command terminal.

4. Security measures for smart hospital scenarios

Smart hospital network security is crucial to hospitals.

(9) Smart hospitals rely on various information systems for daily operations, and network security is crucial to ensuring the stable operation of the system.

Smart hospitals involve a large amount of patient privacy data and medical business data. Network security is the key to ensuring that data is not leaked, tampered with, or destroyed.

Medical industry regulations have strict requirements for data security protection. Smart hospitals must comply with relevant regulations to ensure compliance operations. The current challenges and problems include technical challenges. Smart hospitals involve a wide variety of technologies, and network security protection requires cross-domain technical capabilities; and legal risks. Medical industry regulations are constantly improving, and the requirements for smart hospital network security are also getting higher and higher. Violations of regulations may face serious legal consequences; and management challenges. Smart hospital business is complex, involving multiple departments and personnel, and network security management is difficult.

Infrastructure security protection strategies include network architecture design and optimization. According to business needs and security levels, the hospital network is divided into different security areas to achieve logical isolation between business and data. Redundancy and disaster recovery solutions for key equipment: redundant configuration of key equipment such as core switches, routers, and firewalls to ensure that business is not interrupted when equipment fails.

A regular data backup mechanism is established, and multiple backup methods are used to ensure data integrity and recoverability. A remote disaster recovery center is established to achieve real-time synchronization of business data and disaster recovery capabilities. Physical environment security of the data center: strict management of the entrances and exits of the data center, access control systems, video surveillance, and other measures are used to prevent unauthorized personnel from entering, and real-time monitoring of environmental parameters such as temperature, humidity, and smoke in the data center to ensure the safety of the equipment operating environment. Dual-circuit power supply, UPS uninterruptible power supply, generator,s, and other measures are used to ensure that the data center can still operate normally when the city power fails.

(10) Information system security protection strategies include information system vulnerability risk assessment.

Regular comprehensive vulnerability scanning of hospital information systems, identification of potential security risks, risk assessment of discovered vulnerabilities, determination of vulnerability damage and priority of emergency treatment, and timely adoption of patching measures based on risk assessment results, including system upgrades, patching, configuration modifications, etc.; intrusion detection and prevention technical means, deployment of intrusion detection systems, real-time monitoring of network traffic and events, detection of abnormal behavior and timely alarm, configuration of efficient firewalls, filtering of illegal access and malicious attacks, protection of hospital information system security, regular security audits of hospital information systems, inspection of system logs and operation records, and discovery of potential security issues.

data encryption transmission and storage solutions, using encryption technologies such as SSL/TLS to ensure that data in hospital information systems is not stolen or tampered with during transmission, encryption, and storage of sensitive data in hospital information systems to prevent data leakage or illegal access, and establishment of a sound key management system to ensure the security and availability of encryption keys.

(11) Application software security protection strategies include application software vulnerability patching and update management.

Regularly use professional vulnerability scanning tools to conduct comprehensive scans of application software to promptly discover potential security risks. Establish a complete patch management mechanism to ensure that application software can be updated to the latest version promptly and fix known vulnerabilities.

For serious vulnerabilities discovered, the emergency response mechanism should be immediately activated and an expert team should be organized to quickly deal with them to ensure system security. User authority management and identity authentication mechanisms should be implemented to assign the minimum necessary authority to each user to avoid security risks caused by authority abuse and misoperation. Multi-factor identity authentication methods should be used to ensure the authenticity and legitimacy of user identities. Establish a comprehensive network security strategy, including network access control, intrusion detection and prevention, security auditing and monitoring, etc., to ensure the security and stability of the hospital network system.

(12) Use advanced firewall technology to isolate and control access to the hospital’s internal and external networks to prevent unauthorized access and data leakage.

Use encryption transmission technologies such as SSL/TLS to ensure the security of the hospital’s internal systems and data during transmission. Use data encryption technology to encrypt and store key hospital data to ensure the security of data during storage.

Develop a comprehensive privacy protection plan, including patient information desensitization, data use, and sharing specifications, etc., to protect the privacy rights of patients. Establish a regular data backup and rapid recovery mechanism to ensure the recoverability of hospital data in unexpected situations. Establish a comprehensive disaster recovery plan, including data backup, system recovery, business continuity assurance, etc., to ensure that the hospital can quickly resume normal operations when a major disaster occurs.

Develop a detailed emergency response plan, and clarify the emergency response process, responsible persons, contact information, etc., to ensure timely response and handling when a network security incident occurs. Conduct regular safety drills and training to improve the safety awareness and emergency response capabilities of hospital employees.

Motion Sensor Human Body Detector’s 4 Major Application Scenarios in Smart Security