Visitor call management system and method based on telephone control

Abstract

The invention relates to the technical field of digital data processing, in particular to a visitor call management system and method based on telephone control, and the method comprises the steps: obtaining access information generated when a visitor side accesses a property service side through a telephone; screening and grading based on the visitor information to obtain a visitor access sequence; interacting with the proprietor according to different levels of processing modes preset by the proprietor based on the visitor access sequence to obtain proprietor feedback information; whether the visitor is allowed to enter or not is judged based on the owner feedback information, and when the visitor is allowed to enter, lock operation on the corresponding moving path is controlled based on the face recognition technology; recording all visitor calling and processing process logs; and when the abnormal condition that the visitor moves in the community is detected, related security personnel are automatically notified and preset security measures are taken. Therefore, visitor call management can be carried out through the telephone, the access efficiency is improved, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of digital data processing, and in particular, to a visitor call management system and method based on telephone control. Background Art

[0002] Traditional access control devices are widely used in many residential and commercial buildings, and their main purpose is to ensure that only authorized personnel can enter specific areas.

[0003] This method has certain limitations. For example, when a visitor tries to call a resident by room number or house number using a traditional access control device, if the resident is not at home or for other reasons cannot answer the indoor unit in time, the call from the visitor cannot be responded to. This situation not only causes inconvenience to the visitor but also leads to delays in emergency situations. For example, when a courier delivers goods to the door and no one answers, they have to return to the warehouse to re-arrange the delivery. In addition, for environments that require high flexibility and convenience, traditional access control solutions are not flexible enough, restricting the improvement of the user experience. Summary of the Invention

[0004] The purpose of the present invention is to provide a visitor call management system and method based on telephone control, aiming to manage visitor calls through a telephone, improve access efficiency, and enhance the user experience.

[0005] To achieve the above purpose, in a first aspect, the present invention provides a visitor call management method based on telephone control, including obtaining access information generated by a visitor terminal accessing a property service terminal through a telephone, where the access information includes identity, access time, access destination, and purpose;

[0006] Filtering and grading based on the visitor information to obtain a visitor access sequence;

[0007] Interacting with the owner based on the visitor access sequence according to different levels of processing methods preset by the owner to obtain owner feedback information;

[0008] Judging whether to allow the visitor to enter based on the owner feedback information, and when allowing the visitor to enter, controlling the lock operation on the corresponding movement path based on face recognition technology;

[0009] Recording all visitor call and processing process logs;

[0010] When detecting an abnormal situation of a visitor moving in the community, automatically notifying relevant security personnel and taking preset safety measures.

[0011] Among them, the specific steps of obtaining the access information generated by the visitor terminal accessing the property service terminal through a telephone include:

[0012] The visitor uses the phone to call the service number provided by the property management and speaks the voice message according to the prompt;

[0013] Convert the voice message into text - form access information and remove the invalid content;

[0014] Send the access information to the visitor for information confirmation and correction.

[0015] Among them, the specific steps of converting the voice message into text - form access information and removing the invalid content include:

[0016] Pre - process the collected voice data;

[0017] Use speech recognition technology to convert the voice message into text information;

[0018] Identify and remove the invalid content in the text information.

[0019] Among them, the specific steps of screening and grading based on the visitor information to obtain an access sequence include:

[0020] Extract the keyword groups in the access information;

[0021] Assign a weight value to each keyword, indicating its importance in the overall scoring;

[0022] Set corresponding scoring criteria for each keyword;

[0023] Calculate the total score of each visitor according to the scoring criteria and weights of each keyword;

[0024] Evaluate and grade the risk level of each visitor according to the total score.

[0025] Among them, the specific steps of interacting with the property owner according to the different - level processing methods preset by the property owner to obtain the property owner's feedback information include:

[0026] Process based on the preset rules according to the risk level corresponding to the visitor;

[0027] When the preset rules are not met, send the access information to the property owner;

[0028] The property owner returns the property owner's feedback information based on the access information.

[0029] Among them, the specific steps of judging whether to allow the visitor to enter based on the property owner's feedback information and controlling the lock operation on the corresponding moving path based on face recognition technology when allowing the visitor to enter include:

[0030] The property service terminal receives the feedback from the property owner and confirms to allow a specific visitor to enter;

[0031] According to the approval of the property owner, the system generates a temporary access permit for the visitor. The temporary access permit contains a QR code and a one-time password. If the visitor has not registered their face information in the system, they need to upload a photo through a specified method or use a camera at the entrance to capture an image in real time and register it.

[0032] When the visitor arrives at the access control, the visitor will be prompted to stand at a specified position for face scanning.

[0033] Compare the captured face image of the visitor with the previously stored data.

[0034] If the face recognition is successful and matches the visitor's access permission, the system will determine that the authentication is passed.

[0035] When the authentication is passed, send a command to the corresponding lock to open the path to the destination.

[0036] Among them, the specific steps for recording the logs of all visitor calls and processing procedures include:

[0037] When the visitor dials the service number to make an access request, the system automatically starts recording the call time, the visitor's phone number, and the selected service option.

[0038] Record the authentication information provided by the visitor.

[0039] Among them, the specific steps for automatically notifying the relevant security personnel and taking preset security measures when detecting abnormal situations of the visitor moving in the community include:

[0040] Monitor the behavior of the visitor in real time to obtain visitor video data.

[0041] When it is detected based on the visitor video data that the visitor's moving path is abnormal, immediately trigger an internal alarm.

[0042] Automatically send a notification to the designated security personnel according to the pre-set contact method.

[0043] In a second aspect, the present invention also provides a visitor call management system based on telephone control, including a visitor information acquisition module, a visitor grading module, a grading interaction module, a lock control module, a log processing module, and an anomaly recognition module;

[0044] The visitor information acquisition module is used to acquire the access information generated by the visitor terminal accessing the property service terminal through the telephone. The access information includes identity, access time, access destination, and purpose.

[0045] The visitor grading module is used to screen and grade based on the visitor information to obtain a visitor access sequence.

[0046] The hierarchical interaction module is used to interact with the property owner based on the visitor access sequence according to different levels of processing methods preset by the property owner, so as to obtain the property owner's feedback information;

[0047] The lock control module is used to judge whether to allow the visitor to enter based on the property owner's feedback information. When allowing the visitor to enter, it controls the lock operation on the corresponding moving path based on face recognition technology;

[0048] The log processing module is used to record all visitor call and processing process logs;

[0049] The anomaly recognition module is used to automatically notify relevant security personnel and take preset security measures when detecting abnormal situations of visitors moving in the community.

[0050] A visitor call management system and method based on telephone control according to the present invention. When a visitor hopes to visit a certain property or residential area, the property service terminal can be contacted by making a phone call. In this process, the system will automatically obtain and record detailed access information from the visitor terminal, including but not limited to the visitor's identity verification result, specific access time, planned destination, and access purpose, etc. According to the collected visitor information, the system will screen and classify each visitor. This process takes into account multiple factors, such as the relationship between the visitor and the property owner, the importance of the access purpose, etc., so as to assign a reasonable access priority to each visitor and form an ordered visitor access sequence. Based on the generated visitor access sequence, the system will interact with the property owner according to different levels of processing methods preset by the property owner. For example, some visitors with high trust can be directly released, while in other cases, the property owner needs to further confirm. The system will collect the property owner's feedback information, and this step ensures the property owner's control over the security of their residence. After obtaining the property owner's feedback, the system will judge whether to allow the visitor to enter based on the feedback content. If it is decided to allow the visitor to enter, then the system will further use advanced face recognition technology to automatically unlock the relevant locks on the visitor's moving path, such as the access control system, etc., to facilitate the visitor's smooth passage. To ensure the transparency and traceability of the entire process, the system will automatically record all logs of visitor calls and their processing processes. These logs not only help with future inquiries and audits, but also can serve as data support for optimizing the management process. Finally, to address potential security hazards, the system is also equipped with an intelligent monitoring function. Once it detects abnormal movement of a visitor in the community, such as staying in a certain place for a long time or entering an unauthorized area, the system will immediately automatically notify relevant security personnel and activate preset security measures to ensure the life and property safety of community residents. This method not only improves the convenience of visitor access, but also enhances the security management level of the community. Description of the Drawings

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0052] Figure 1 It is a flowchart of a visitor call management method based on telephone control of the present invention.

[0053] Figure 2 It is a flowchart of obtaining access information generated by the visitor side accessing the property service side through the telephone of the present invention.

[0054] Figure 3 It is a flowchart of converting voice information into text-form access information and removing invalid content of the present invention.

[0055] Figure 4 It is a flowchart of screening and grading based on the visitor information to obtain an access sequence of the present invention.

[0056] Figure 5 It is a flowchart of interacting with the owner according to different levels of processing methods preset by the owner to obtain owner feedback information of the present invention.

[0057] Figure 6 It is a flowchart of determining whether to allow a visitor to enter based on the owner feedback information, and when allowing the visitor to enter, controlling the lock operation on the corresponding movement path based on face recognition technology of the present invention.

[0058] Figure 7 It is a flowchart of recording the logs of all visitor calls and processing processes of the present invention.

[0059] Figure 8 It is a flowchart of automatically notifying relevant security personnel and taking preset safety measures when detecting abnormal situations of a visitor moving in the community of the present invention. Detailed implementation manners

[0060] The following will describe in detail the embodiments of the present invention. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions from beginning to end. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present invention, and should not be construed as a limitation to the present invention.

[0061] The first embodiment

[0062] Please refer to Figures 1 to 8 , the present invention provides a visitor call management method based on telephone control, including:

[0063] S101 Obtain the access information generated by the visitor terminal accessing the property service terminal through a phone call. The access information includes identity, access time, access destination, and purpose.

[0064] When visitors wish to access a certain location and need the assistance of property services, they can initiate this process by dialing a specific service number. In this step, the system will collect basic information of the visitors, including but not limited to identity verification, planned access time, expected access destination, and the purpose of this visit. The specific steps include:

[0065] S201 The visitor uses the phone to dial the service number provided by the property and speaks the voice information according to the prompts.

[0066] The visitor first uses the phone to dial the service number provided by the property. After getting through, the visitor will speak their requests and relevant information according to the prompts of the automatic voice system. This step includes reporting their name, ID number, specific time and date of the visit, planned destination, and purpose of the visit, etc. This process not only helps improve the security of visitor management but also effectively reduces the time cost required for face-to-face communication.

[0067] S202 Convert the voice information into text-formatted access information and remove invalid content.

[0068] The specific steps include:

[0069] S301 Preprocess the collected voice data.

[0070] Once the voice data is collected, the next step is to preprocess it to remove background noise and other interference factors to ensure the accuracy of voice recognition in subsequent steps. This usually involves the application of audio enhancement technologies, such as noise reduction algorithms, etc.

[0071] S302 Use voice recognition technology to convert the voice information into text information.

[0072] After the preprocessing is completed, the system will adopt advanced voice recognition technology to convert the voice information provided by the visitor into text format. This technology relies on complex algorithms and a large amount of language model training to achieve high-precision voice-to-text conversion.

[0073] S303 Identify and remove invalid content in the text information.

[0074] First, remove all punctuation marks from the text to reduce the complexity of subsequent processing. Then convert the entire text to lowercase to ensure that inconsistent capitalization does not affect the recognition of keywords and the detection of repeated utterances. Use natural language processing technology to segment the text, that is, to divide the continuous sequence of words into word sequences according to certain rules. This step is crucial to understanding the sentence structure. Create or adopt an existing list of stop words (such as "的", "是", "在" and other high-frequency but low-semantic-value words), and remove these words through comparison to reduce noise. Extract keywords containing important information based on context or pre-defined key field vocabularies. For example, in a visitor access scenario, "name", "ID number", "visit time", "destination", etc. are keywords.

[0075] S203 sends the access information to the visitor for information confirmation and correction.

[0076] The processed visit information will be sent back to the visitor so that he can confirm whether all the details are correct. If the visitor finds any errors or omissions, they can correct them immediately. This two-way confirmation mechanism greatly improves the accuracy and reliability of the information, ensuring that the visitor can visit the destination smoothly as planned.

[0077] S102 performs screening and classification based on the visitor information to obtain a visitor access sequence;

[0078] The specific steps include:

[0079] S401 extracts a keyword group from the access information;

[0080] Extract key information groups from the visit information provided by the visitor. These key information groups include but are not limited to the visitor's identity information (such as name, ID number), visit time, destination, and purpose of visit. Using natural language processing technology, the system can identify and extract these important elements as the basis for subsequent analysis.

[0081] S402 assigns a weight value to each keyword, indicating its importance in the entire scoring;

[0082] After determining the keyword groups, the next step is to assign a corresponding weight value to each keyword. This weight reflects the importance of the keyword in the entire evaluation system. For example, "visit purpose" has a higher weight than "visit time" because it more directly affects the risk level of the visitor. The weight setting can be based on a variety of factors such as historical data, security policies or expert advice.

[0083] S403 sets a corresponding scoring standard for each keyword;

[0084] For each keyword, a detailed scoring criterion needs to be formulated. These criteria define how to score based on the specific content of the keyword. For example, for "purpose of visit", if the purpose is to attend a public event, the score is relatively low; if it is a private visit without prior appointment, the score is relatively high. In this way, the risk levels of different visit behaviors can be quantified. For instance, attending a public event: 1 point. Public events usually have a high level of transparency and low risk. A pre-booked private visit: 3 points. Although there is a reservation, it involves personal privacy and requires more attention. A private visit without prior appointment: 5 points. This kind of visit lacks predictability, increasing uncertainty and potential risks.

[0085] Unable to verify identity: 5 points. Visitors whose identities cannot be verified pose the highest potential risk. Verifying through simple information (such as name, phone number): 3 points. The risk is reduced to a certain extent, but it is still not sufficient.

[0086] Verifying through official documents or biometric technology: 1 point. It provides the highest level of identity confirmation and the lowest risk.

[0087] Non-working hours (8:00 p.m. to 7:00 a.m.): 4 points. Visits during this time period are more likely to pose security risks. During working hours (7:00 a.m. to 8:00 p.m.): 2 points. Visits during working hours are relatively more common and have lower risks. During special events (such as holidays, community event days, etc.): 3 points. Adjust the score according to the specific situation, as these periods may increase uncertainty and risks.

[0088] S404 Calculate the total score for each visitor according to the scoring criteria and weights of each keyword;

[0089] After having the scoring criteria and weights, the next step is to score the visit information of each visitor. The system will score each keyword according to the previously set criteria, then multiply it by its corresponding weight value, and finally add up all the scores to obtain the total score for each visitor. This process ensures that information from different dimensions can be reasonably integrated into the final risk assessment.

[0090] S405 Evaluate and classify the risk levels of each visitor according to the total score.

[0091] The last step is to evaluate the risk level of each visitor according to the total score and classify them. This usually involves setting different score ranges, with each range corresponding to a risk level (such as low risk, medium risk, high risk). Such classification helps the property management team quickly identify which visitors require more attention or special security measures.

[0092] S103 Interact with the property owner based on the visitor access sequence according to different levels of processing methods preset by the property owner to obtain the property owner's feedback information;

[0093] The specific steps include:

[0094] S501 processes based on a preset rule according to the risk level corresponding to the visitor.

[0095] First, the system will automatically process the access request according to the previously calculated risk level of the visitor and the processing rules preset by the property owner for different risk levels. For example, for visitors with a low risk level, the system will automatically approve their access rights; for visitors with a medium risk level, the system will temporarily put their requests on hold pending further confirmation; visitors with a high risk level will require more stringent review or be directly denied access.

[0096] These preset rules can be very flexible, allowing the property owner to adjust according to their own needs and security considerations. For example, a property owner may wish that all non-scheduled private visits require manual review regardless of their initially assessed risk level.

[0097] S502 When the preset rule is not met, the access information is sent to the property owner.

[0098] If the situation of the visitor does not conform to any preset automatic processing rules, or the situation is relatively special (such as a newly emerging security threat), the system will automatically send the access information of the visitor to the property owner for manual review. In this process, the system should not only send basic information (such as name, access time, purpose, etc.), but also include all the previously mentioned analysis results, including the details of the risk assessment and its basis, so that the property owner can make a more accurate judgment.

[0099] In addition, the system can also provide some auxiliary decision-making tools or suggestions to help the property owner understand the situation faster and make a decision. This includes the handling methods of similar previous cases, or special tips based on current environmental factors (such as activities ongoing in the community).

[0100] S503 The property owner returns the property owner's feedback information based on the access information.

[0101] The last step is for the property owner to give feedback based on the received access information. The property owner can view the detailed information through the interface provided by the system and select the corresponding handling method, such as approving access, requesting more information, arranging a specific reception process, or denying access, etc. The property owner's feedback should be as detailed as possible, including not only the final decision but also the reasons for making this decision, especially when the decision is inconsistent with the system recommendation.

[0102] The feedback from the property owners will be recorded as reference data for handling similar situations in the future, and is also used to continuously optimize the system's automatic processing rules and risk assessment models. In this way, the system can gradually learn and adapt to the specific preferences and safety standards of the property owners, improving the overall management efficiency and service quality.

[0103] Specifically, it includes converting the subjective feedback from property owners into quantifiable scores or tags. For example, according to the property owner's attitude towards specific types of visitors (allowed, rejected, need further confirmation), corresponding scores are assigned. Through data analysis tools, common patterns are identified, such as which types of visits usually receive positive feedback and which are easily rejected. Based on the initially set risk assessment criteria of the system and the early feedback from property owners, a set of basic automatic processing rules are established. As more feedback data accumulates, the automatic processing rules are updated regularly. For example, if it is found that most property owners are open to a certain type of unappointed private visit, the risk score for this type of visit is appropriately reduced, and the automatic processing strategy is adjusted accordingly.

[0104] S104 determines whether to allow a visitor to enter based on the feedback information from the property owner. When allowing the visitor to enter, it controls the lock operation on the corresponding movement path based on face recognition technology;

[0105] The specific steps include:

[0106] S601 The property service terminal receives the feedback from the property owner and confirms to allow a specific visitor to enter;

[0107] The property service system first needs to receive clear feedback from the property owner indicating that the visitor can be allowed to enter. This feedback is transmitted to the system through property management software, mobile applications, or other communication channels. Once confirmed, the system updates the visitor's status to "approved" and prepares for the next operation.

[0108] S602 According to the approval of the property owner, the system generates a temporary access permit for the visitor. The temporary access permit contains a QR code and a one-time password. If the visitor has not registered their face information in the system, they need to upload a photo through a specified method or use a camera at the entrance to capture an image in real time and register;

[0109] After obtaining the approval of the property owner, the system will automatically generate a temporary access permit for the visitor. This permit usually contains a QR code and a one-time password (OTP) to ensure security and uniqueness. If the visitor has not registered their face information in the system, they need to complete the process of entering face data. This can be achieved in two ways: one is to require the visitor to upload a personal photo in advance through a specified method; the other is to use the on-site camera to capture an image in real time for registration when arriving at the entrance.

[0110] When the visitor arrives at the access control, S603 will prompt the visitor to stand at the designated position for face scanning;

[0111] When the visitor arrives in front of the access control system, the system will give an indication on the display screen to guide the visitor to move to the best shooting position for face scanning. To improve the recognition accuracy, there will be specific standing position marks or lighting prompts to help the visitor get into position correctly.

[0112] S604 will compare the captured face image of the visitor with the previously stored data;

[0113] The access control system uses a high-precision camera to capture the visitor's current face image and immediately compares it with the face data of this visitor pre-stored in the system. This work relies on advanced face recognition algorithms, which can quickly and accurately analyze and match the similarity between the two images.

[0114] If the face recognition is successful and matches the visitor's access rights, S605 will determine that the authentication is passed;

[0115] Once the system confirms that the captured image matches the stored data and verifies that the visitor indeed has the corresponding access rights, it will consider the authentication process to be successfully completed. This means that the visitor's identity has been confirmed and the entry conditions are met.

[0116] When the authentication is passed, S606 will send a command to the corresponding lock to open the path to the destination.

[0117] The last step is for the system to send an unlocking command to the relevant intelligent lock. This usually involves network communication protocols to ensure that the command can be quickly and securely conveyed to the target device. After receiving the command, the lock immediately executes the opening action, thus opening the path to the destination for the visitor. The whole process is efficient and seamless, aiming to provide convenience while ensuring a high level of security.

[0118] S105 records all visitor call and processing process logs;

[0119] The specific steps include:

[0120] When the visitor dials the service number to make an access request, S701 will automatically start recording the call time, the visitor's phone number, and the selected service option;

[0121] Once a visitor dials the service number provided by the property management and connects to the system, the system will automatically activate the recording mechanism. First of all, the system will record the exact time of this call (including date and specific time), which helps with subsequent time tracking and management. At the same time, the system will also automatically identify and record the phone number dialed by the visitor, which is very important for confirming the visitor's identity and contacting the visitor when necessary. In addition, the system will also record the specific service options selected by the visitor in the voice menu, such as requesting access rights, asking for property management information, or reporting problems, etc. These basic information provide data support for subsequent service provision and problem solving.

[0122] S702 records the authentication information provided by the visitor.

[0123] During the call, when the visitor provides authentication information according to the system's prompts, the system will record these information in detail. This usually includes but is not limited to the following:

[0124] Identity information: such as the visitor's name, ID number or other official document numbers, etc. These information are used to ensure the authenticity of the visitor's identity and are compared with the records in the database to complete the identity verification.

[0125] Access details: including the planned time, location and purpose of the visit, etc. These details are crucial for arranging appropriate reception measures or security checks.

[0126] Additional remarks: If the visitor mentions any special circumstances or requirements during the call (such as needing special assistance or having specific access needs), the system should also record them for subsequent processing.

[0127] S106 automatically notifies the relevant security personnel and takes preset security measures when detecting abnormal situations of the visitor moving in the community.

[0128] The specific steps include:

[0129] S801 monitors the behavior of the visitor in real time to obtain visitor video data;

[0130] Capture the activities of the visitor through a network of cameras located at various key positions in the community. These cameras can not only provide high-definition video streams, but also support functions such as night vision and wide-angle to ensure all-weather and all-round monitoring coverage. The collected visitor video data will be transmitted to the central management system in real time, and the system uses advanced image processing technology to conduct a preliminary analysis of the video content.

[0131] S802 triggers an internal alarm immediately when detecting an abnormal movement path of the visitor based on the visitor video data;

[0132] The moving trajectory analysis method is used to analyze the behavior patterns of visitors to identify any deviations from normal behavior patterns. For example, if a visitor lingers in a certain area for a long time, attempts to enter unauthorized areas, or exhibits other suspicious behaviors (such as running, avoiding cameras, etc.), the system will mark such behaviors as abnormal. Once abnormal behavior is detected, the system will immediately trigger an internal alarm, which includes audible alarms, flashing lights, or other forms of notification to attract the attention of on-site staff. Specifically, the moving path of the visitor is converted into a mathematical trajectory representation, such as using sequences, graphs, or grids to describe it.

[0133] Then, various features are extracted from the trajectory, such as residence time, traveling speed, direction change rate, access frequency, path complexity, etc. For each type of suspicious behavior (such as lingering for a long time, running, avoiding cameras), corresponding feature indicators are defined.

[0134] According to the problem requirements, a random forest model is selected for classifying normal and abnormal behaviors. The selected algorithm is trained using the labeled dataset. The model performance is optimized by adjusting parameters to improve the detection accuracy of abnormal behaviors.

[0135] When a visitor enters the monitoring range, the system tracks their moving trajectory in real-time and analyzes relevant features. Based on the trained model, it evaluates in real-time whether the current visitor's behavior deviates from the normal pattern. For example, if a visitor stays in an area for longer than the set threshold, they are marked as abnormal; or, if a visitor attempts to enter an unauthorized area, an alarm is also triggered.

[0136] S803 automatically sends a notification to the designated security personnel according to the pre-set contact method.

[0137] After the internal alarm is triggered, the system will automatically send a notification to the designated security personnel according to the pre-set emergency response plan. This process usually involves the following aspects:

[0138] The contact information of security personnel responsible for different areas or types of events is pre-set in the system, including phone numbers, email addresses, or instant messaging application accounts, etc.

[0139] Select the appropriate notification method according to the urgency and specific situation. For highly urgent situations, the phone number of the security personnel can be directly called; while for general warnings, messages can be sent via text messages or application push notifications, etc.

[0140] In addition to the basic warning information, the notification will also include specific details about the abnormal situation, such as the location, time, characteristics of the involved visitors, and a description of the observed behaviors, etc., to help security personnel quickly understand the situation and make corresponding preparations.

[0141] Second Embodiment

[0142] The present invention provides a visitor call management system based on telephone control, which includes a visitor information acquisition module, a visitor grading module, a grading interaction module, a lock control module, a log processing module, and an anomaly recognition module; the visitor information acquisition module is used to acquire access information generated when the visitor terminal accesses the property service terminal through a telephone, and the access information includes identity, access time, access destination, and purpose; the visitor grading module is used to screen and grade based on the visitor information to obtain a visitor access sequence; the grading interaction module is used to interact with the owner according to different levels of processing methods preset by the owner based on the visitor access sequence to obtain owner feedback information; the lock control module is used to judge whether to allow the visitor to enter based on the owner feedback information, and when allowing the visitor to enter, control the lock operation on the corresponding movement path based on face recognition technology; the log processing module is used to record all visitor call and processing process logs; the anomaly recognition module is used to automatically notify relevant security personnel and take preset security measures when detecting abnormal situations of the visitor moving in the community.

[0143] In this embodiment, the visitor information acquisition module collects access information generated when the visitor interacts with the property service terminal by phone. The visitor needs to dial a specific service number and provide detailed information including but not limited to personal authentication information (such as name, ID number), planned access time, destination, and purpose of access according to the voice prompts.

[0144] Based on the data received from the visitor information acquisition module, the visitor grading module performs screening and grading operations to determine the risk level and access priority of each visitor. This process involves steps such as keyword extraction, weight assignment, scoring standard setting, and total score calculation, and finally forms a visitor access sequence. This helps the property management team quickly identify visitors who require special attention or additional security measures.

[0145] The grading interaction module communicates with the owner according to different levels of processing methods preset by the owner to obtain specific feedback on whether to approve the visitor's access. This process includes functions such as automatically processing low-risk visitor requests, sending high-risk or special situations to the owner for review, etc., to ensure that all access decisions meet the owner's security requirements and preferences.

[0146] The lock control module judges whether to allow the visitor to enter. If approved, the system generates a temporary access credential (including a QR code and a one-time password) for the visitor and uses face recognition technology to confirm the visitor's identity. Once the verification is successful, the system sends an opening instruction to the intelligent lock on the corresponding path so that the visitor can reach the destination smoothly.

[0147] The log processing module will track and store the logs of all visitor calls and related processing activities. This includes the call start time, visitor phone number, selected service options, and provided authentication information, etc. These detailed records not only help improve service transparency but also provide important basis for future audits and problem troubleshooting.

[0148] The anomaly recognition module is dedicated to monitoring the behavior of visitors within the community, promptly detecting any abnormal situations (such as illegal intrusion, loitering, etc.), and triggering internal alarms through real-time video analysis. Once an anomaly is detected, the system will immediately notify the relevant security personnel and take necessary security measures according to the preset plan to ensure the safety of community residents.

[0149] In summary, the visitor call management system based on telephone control proposed by the present invention, through integrating advanced communication technologies and intelligent security means, realizes the comprehensive management and optimization of the visitor access process, and significantly improves the property management efficiency and the security of the living environment.

[0150] The above-disclosed is only a preferred embodiment of the present invention, and of course, it cannot be used to limit the scope of rights of the present invention. Those of ordinary skill in the art can understand the whole or part of the processes of implementing the above embodiments, and the equivalent changes made according to the claims of the present invention still fall within the scope covered by the invention.

Claims

1. A visitor call management method based on telephone control, It is characterized in that It includes: obtaining access information generated by the visitor terminal through telephone access to the property service terminal, wherein the access information includes identity, access time, access destination and purpose; Screening and grading based on the visitor information to obtain a visitor access sequence; Based on the visitor access sequence, the visitor interacts with the owner according to the different levels of processing methods pre-set by the owner to obtain feedback information from the owner; Determine whether to allow visitors to enter based on the owner's feedback information. If visitors are allowed to enter, control the lock operation on the corresponding moving path based on face recognition technology; Record all visitor calls and handling process logs; When abnormal movement of visitors in the community is detected, relevant security personnel will be automatically notified and preset security measures will be taken.

2. A visitor call management method based on telephone control as claimed in claim 1, characterized in that: The specific steps of obtaining the access information generated by the visitor terminal through telephone access to the property service terminal include: Visitors use the phone to dial the service number provided by the property and speak the voice message according to the prompts; Convert voice information into text-based access information and remove invalid content; The access information is sent to the visitor for information confirmation and correction.

3. A visitor call management method based on telephone control as claimed in claim 2, characterized in that: The specific steps of converting the voice information into access information in text form and removing invalid content include: Preprocessing the collected voice data; Use speech recognition technology to convert voice information into text information; Identify and remove invalid content from text messages.

4. A visitor call management method based on telephone control as claimed in claim 3, characterized in that: The specific steps of screening and grading the visitor information to obtain the access sequence include: Extract key words from access information; Assign a weight value to each keyword to indicate its importance in the overall score; Set corresponding scoring criteria for each keyword; Calculate the total score of each visitor based on the scoring criteria and weight of each keyword; The risk level of each visitor is assessed and graded based on the total score.

5. A visitor call management method based on telephone control as claimed in claim 4, characterized in that: The specific steps of interacting with the owner according to the different levels of processing methods pre-set by the owner to obtain the owner's feedback information include: Process visitors based on their risk level and preset rules; When the preset rules are not met, the access information is sent to the owner; The owner returns owner feedback information based on the access information.

6. A visitor call management method based on telephone control as claimed in claim 5, characterized in that: The specific steps of determining whether to allow visitors to enter based on the owner's feedback information and, when the visitors are allowed to enter, controlling the lock operation on the corresponding moving path based on the face recognition technology include: The property service end receives feedback from the owner and confirms that the specific visitor is allowed to enter; Based on the approval of the owner, the system generates a temporary pass for the visitor, which contains a QR code and a one-time password. If the visitor has not registered his / her facial information in the system, he / she needs to upload a photo in a specified way or use a camera at the entrance to capture an image in real time and register; When a visitor arrives at the access control, they will be prompted to stand in a designated position for facial scanning; Compare the captured visitor's facial image with previously stored data; If facial recognition is successful and matches the visitor’s access rights, the system deems the identity verification successful; When identity authentication is passed, a command is sent to the corresponding lock to open the path to the destination.

7. A visitor call management method based on telephone control as claimed in claim 6, characterized in that: The specific steps of recording all visitor calls and processing logs include: When a visitor dials the service number to request access, the system automatically starts recording the call time, visitor phone number, and selected service options; Records the authentication information provided by the visitor.

8. A visitor call management method based on telephone control as claimed in claim 7, characterized in that: The specific steps of automatically notifying relevant security personnel and taking preset security measures when abnormal movement of visitors in the community is detected include: Monitor visitor behavior in real time and obtain visitor video data; When abnormal visitor movement paths are detected based on visitor video data, internal alarms are triggered immediately; Automatically send notifications to designated security personnel based on pre-set contact information.

9. A visitor call management system based on telephone control, applied to a visitor call management method based on telephone control as claimed in any one of claims 1 to 8, characterized in that: It includes visitor information acquisition module, visitor classification module, classification interaction module, lock control module, log processing module and abnormality identification module; The visitor information acquisition module is used to obtain the visit information generated by the visitor terminal through telephone access to the property service terminal, and the visit information includes identity, visit time, visit destination and purpose; The visitor classification module is used to screen and classify the visitor information to obtain a visit sequence of the visitor; The hierarchical interaction module is used to interact with the owner according to the different levels of processing methods pre-set by the owner based on the visitor access sequence to obtain owner feedback information; The lock control module is used to determine whether to allow visitors to enter based on the owner's feedback information, and when the visitor is allowed to enter, control the lock operation on the corresponding moving path based on face recognition technology; The log processing module is used to record all visitor calls and processing logs; The abnormality recognition module is used to automatically notify relevant security personnel and take preset safety measures when abnormal situations of visitors moving in the community are detected.

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