Intelligent access control system based on automatic identification

Through an intelligent access control system based on automatic identification, identity authentication and permission binding are carried out for outsiders, and combined with route prediction and time verification, the problem of entry and exit management of foreign personnel in the existing technology is solved, and efficient and secure access control management is achieved.

CN119107726BActive Publication Date: 2025-07-29YICHANG POWER SUPPLY CO OF STATE GRID HUBEI ELECTRIC POWER CO LTD +1
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Patent Information

Application Number
CN202411193579.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-28
Publication Date
2025-07-29
Estimated Expiration
2044-08-28

AI Technical Summary

Technical Problem

The existing intelligent access control system is difficult to effectively manage the entry and exit of outsiders, especially the frequent entry and exit of employees in the takeaway and express delivery industries, which affects convenience and safety.

Method used

An intelligent access control system based on automatic identification was designed, including permission registration module, temporary authorization module and pass verification module. Through the identification system, the identity authentication, information verification and permission binding of outsiders is carried out, and the route prediction and time verification are combined to realize the management of temporary incoming and outgoing personnel.

Benefits of technology

It improves the efficiency of access control management, reduces the waste of human resources, ensures the legal access and safety of outsiders, and reduces the real-time monitoring needs of managers.

✦ Generated by Eureka AI based on patent content.

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Abstract

An intelligent access control system based on automatic recognition includes a permission registration module and a temporary authorization module; the permission registration module includes a registration authentication unit, a data verification unit, and an authorization binding unit; the registration authentication unit records personnel without authorized authentication as outsiders and records their identity data; the data verification unit verifies the identity information of outsiders, and after passing, registers and records them as temporary access personnel; the authorization binding unit obtains the information of outsiders and enters it into the recognition system authorization library to grant access permissions to outsiders; the temporary authorization module includes a route prediction unit and a time verification unit; the route prediction unit predicts the route of temporary access personnel, and the time verification unit predicts the stay time of temporary access personnel and compares it with the actual stay time to generate different signals. The present invention can improve the efficiency of access control management and reduce the waste of human resources.
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Description

Technical Field

[0001] The present invention relates to an access control system, particularly an intelligent access control system based on automatic identification. Background Art

[0002] An intelligent access control system is an important part of modern security management. It integrates advanced automatic identification technologies and information management means, providing efficient and convenient access control solutions for various places. The system verifies the identities of people entering and leaving through multiple methods such as card readers, password input, and biometric identification, ensuring that only authorized personnel can pass. The intelligent access control system can not only record the information of people entering and leaving in real time, but also be linked with alarm systems, fire protection systems, etc., providing comprehensive security protection and improving the security and management efficiency of the place.

[0003] In daily life scenarios, intelligent access control systems are usually set at the entrances and exits of communities to record the information of people entering and leaving and block the entry of unauthorized or unregistered people. On the other hand, with the rapid development of the food delivery industry, express delivery industry, and letter transportation industry, employees in related industries need to enter and leave different communities frequently to complete their work. However, existing intelligent access control systems cannot manage the entry and exit of related employees well. Generally, they rely on manual release, making it difficult to effectively record the entry and exit of related employees, seriously affecting the convenience of door-to-door food delivery and door-to-door delivery, and having certain security risks, with certain defects. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent access control system based on automatic identification, which can effectively solve the problem that the existing intelligent access control system has defects in the access management of non-community internal personnel.

[0005] To solve the above technical problem, the technical solution adopted by the present invention is:

[0006] An intelligent access control system based on automatic identification, including an identification system and an electric control gate. Denote the managed area as the controlled area, and it also includes a permission registration module and a temporary authorization module;

[0007] The permission registration module includes a registration authentication unit, a data verification unit, and an authorization binding unit;

[0008] The registration authentication unit records people who have not been authorized and authenticated by the identification system and are prohibited from passing through the electric control gate as external personnel. After being confirmed by the management personnel, the registration authentication unit conducts registration authentication on the external personnel entering for the first time and records the identity data of the external personnel to form an information set;

[0009] The data checking unit checks the data in the information set of the outsider, and after the verification is passed, registers the outsider as a temporary in-and-out person, records the outsider as a temporary in-and-out person, and records the current time as the registration time;

[0010] The authorization binding unit identifies the means of transportation of temporary entrants and entrants within a certain period of time at the time of registration and binds the information of the temporary entrants and entrants;

[0011] The temporary authorization module grants access rights to temporary entrants when the data of the temporary entrants and their associated transportation vehicles obtained by the identification system match, and manages the access rights of temporary entrants.

[0012] The temporary authorization module includes a route prediction unit and a time verification unit;

[0013] The route prediction unit plans and predicts the routes of temporary in-and-out personnel based on their destinations and map data of the control area;

[0014] The time verification unit calculates the passage time required for temporary entry and exit personnel based on the predicted route, compares the estimated time with the actual stay time of the temporary entry and exit personnel, and generates different signals to control whether the identification system grants access rights.

[0015] Registration and certification unit registration and certification, including:

[0016] 1) Obtain facial information, fingerprint information, contact number and work certification information of outsiders;

[0017] 2) Save the work authentication information of the outsider, record the fingerprint information, name, contact number, work unit and work number of the outsider in the same data set, record it as an information set, and enter it into the identification system's verification database.

[0018] Data verification unit verification, specifically including:

[0019] 1) Obtain the fingerprint information of the outsider and compare it with the fingerprint information in the preset dangerous person fingerprint database one by one, and calculate the similarity of each comparison;

[0020] 2) Extract the maximum similarity and compare it with the preset similarity threshold. When the maximum similarity is less than the similarity threshold, obtain the work unit and work number of the foreign employee;

[0021] 3) There is a preset unit information database. When the unit information database has a matching work unit and work number, the name of the outsider is checked with the name corresponding to the work number in the unit information database, and the outsider is recorded as a temporary entrant and the current time is recorded as the registration time.

[0022] The authorization binding unit performs binding, specifically including:

[0023] 1). The authorization binding unit obtains the facial information and fingerprint information of the temporary in-and-out personnel and enters them into the recognition system authorization library, granting the temporary in-and-out personnel the right to enter and exit.

[0024] 2). When the temporary in-and-out personnel passes through the recognition system, they obtain the right-of-way authentication and the electric control gate is opened for release. When the temporary in-and-out personnel first pass through the recognition system, the license plate number of the temporary in-and-out personnel's means of transportation is obtained through the license plate automatic recognition technology.

[0025] 3). At the same time, calculate the time difference between the current moment and the registration moment of the temporary in-and-out personnel and record it as the registration time difference. Set a registration time difference threshold. The calculation formula for the registration time difference threshold t is where L represents the distance between the location where the temporary in-and-out personnel information is registered and the location where the current passing recognition system is located, and v is the preset walking speed value.

[0026] 4). When the registration time difference is less than the registration time difference threshold, bind the license plate number to the temporary in-and-out personnel.

[0027] 5). When the registration time difference is greater than or equal to the registration time difference threshold, generate a binding exception signal. The staff checks and verifies the temporary in-and-out personnel and their means of transportation. After the temporary in-and-out personnel and their means of transportation pass the verification, bind the license plate number to the temporary in-and-out personnel.

[0028] 6). When both the personal information and the means of transportation information are verified correctly, grant the right to enter and exit.

[0029] The route prediction unit plans and predicts the route, specifically including:

[0030] 1). Obtain the destination data of the temporary in-and-out personnel. The destination data includes the building number and floor. All building numbers and floor information within the controlled area are preset in the system to form a floor database. When the temporary in-and-out personnel pass through the recognition system, they input the building number and floor they need to go to to form the destination data. Compare the destination data input by the temporary in-and-out personnel with the data in the floor database. When all the data in the destination data can find corresponding data in the floor database for matching, enter step 2); otherwise, generate a data exception signal.

[0031] 2). Obtain the building number data in the destination data and record it as the target building number. There is a preset floor plan of the controlled area, and the corresponding positions of all building numbers are marked on the floor plan. Mark the target building number on the floor plan and record it as the midpoint, and record the number of midpoints as N.

[0032] 3) When N equals 1, mark all the exits of the controlled area on the plane map, select the exit closest to the midpoint as the end point, and draw the shortest route passing through the entrance, midpoint, and end point and record it as the shortest path;

[0033] 4) When N is greater than 1, select the midpoint closest to the entrance of the temporary personnel entering and exiting as the initial point, mark all the exits of the controlled area on the plane map, extract the midpoint closest to each exit and calculate the distance value between it and the closest exit and record it as the closest distance value, extract the closest exit corresponding to the midpoint with the smallest closest distance value except the initial point as the end point, take the entrance as the starting point, the end point as the ending point, and all the midpoints as the passing points, and calculate the shortest path passing through the starting point, ending point, and all passing points through the shortest path model algorithm;

[0034] 5) Display the plane map of the controlled area and the route map corresponding to the shortest path to the temporary personnel entering and exiting, control the electric control gate to open, and record the current moment as the entry moment;

[0035] 6) When a data anomaly signal is generated, close the electric control gate and lock the entry and exit permissions of the temporary personnel entering and exiting, send an anomaly verification instruction to the nearest staff handheld terminal, and let the staff verify the temporary personnel entering and exiting. After verification, perform 1)-5) again.

[0036] The time check unit checks, specifically including:

[0037] 1) Obtain the shortest path and calculate the distance of the shortest path as the total distance S;

[0038] 2) Obtain the total number of floors L' of the buildings corresponding to all passing points and all floor data L corresponding to each passing point i , calculate the floor influence value LD of each passing point,

[0039] where: i is the serial number of each floor data, i = 1, ......, j, and j is the total number of floor data;

[0040] 3) Calculate the sum of all floor influence values and record it as the floor duration parameter T L , and substitute the total distance S and the floor duration parameter T L into the formula for calculation to obtain the duration pre-value T';

[0041] where: μ1 are all preset weight coefficients;

[0042] 4) Limit the authorized passage time of temporary entry and exit personnel to T′, starting from the entry time; within the authorized passage time, allow temporary entry and exit personnel to leave through the electric control gate at the exit of the controlled area after being identified and authenticated by the identification system; when the authorized passage time is exceeded, lock the entry and exit permissions of the temporary entry and exit personnel and generate a data anomaly signal when they pass through the identification system, and send an anomaly verification instruction to the nearest staff handheld terminal.

[0043] It further includes a passage verification module, which verifies the route passed by the temporary entry and exit personnel;

[0044] The passage verification module includes a feature recognition unit and a verification analysis unit;

[0045] The feature recognition unit captures and recognizes the features of temporary entry and exit personnel when they enter the controlled area;

[0046] The verification analysis unit records and monitors the route of temporary entry and exit personnel through the second high-definition cameras at all building entrances within the controlled area, and verifies the passage route of temporary entry and exit personnel according to the recorded data.

[0047] The feature recognition unit obtains a full-frame picture of temporary entry and exit personnel when they enter through the first high-definition camera at the entrance of the controlled area, and establishes a feature sequence according to the full-frame picture.

[0048] The establishment of the feature sequence specifically includes:

[0049] 1) Identify the color of the personnel contour part in the full-frame picture;

[0050] 2) Preset multiple color labels, obtain the proportion of different color labels in the full-frame picture and establish a proportion bar chart, and obtain the proportion value D of the contour area of the personnel in the full-frame picture;

[0051] 3) Extract the three color labels with the highest proportion and form the first set [(A, a), (B, b), (C, c)] in the order of proportion size, where: A, B, and C respectively represent the color labels with the first, second, and third highest proportions, and a, b, and c respectively represent the proportion values of A, B, and C. The first set combined with the contour area proportion value D jointly forms the feature sequence [(A, a), (B, b), (C, c), D].

[0052] The verification analysis unit verifies the route, specifically including:

[0053] 1) Denote the feature sequence of temporary entry and exit personnel as the target feature sequence, obtain the full-frame pictures of all personnel entering the camera range through the second high-definition cameras in front of each building, and establish the corresponding feature sequences as the comparison feature sequences;

[0054] 2) Compare the comparison feature sequence with the target feature sequence; when the comparison feature sequence is the same as the target feature sequence, obtain the recording time of the comparison feature sequence and the corresponding building number, and then draw the movement route of the temporarily entering and leaving personnel according to the sequence of the recording time and the building number.

[0055] 3) Compare the movement route with the predicted route map; when the two are exactly the same, generate a route consistency signal. When the building numbers corresponding to the passing points of the two are the same but the sequence is inconsistent, generate a route change signal; when the building numbers corresponding to the passing points of the two are inconsistent, generate a route anomaly signal.

[0056] The present invention provides an intelligent access control system based on automatic identification, which has the following technical effects:

[0057] 1) In the present invention, the registration and authentication unit and the data verification unit can register and verify the information of foreign personnel, so as to ensure that the access control system can grant the access permission to authorized personnel on the premise that the information meets the requirements. Through the authorization binding unit, it is more convenient and faster to bind temporarily entering and leaving personnel and the transportation vehicles they use, so that temporarily entering and leaving personnel can more conveniently take the vehicle to complete their work through the access control.

[0058] 2) In the present invention, the route prediction unit can plan the route of temporarily entering and leaving personnel according to the destination data. On the one hand, it can facilitate the route planning of temporarily entering and leaving personnel and recommend appropriate routes for them when they are not familiar with the internal roads of the community; on the other hand, it can also help predict the route of temporarily entering and leaving personnel. According to the distance of their route and relevant data of the destination floor, reasonably predict the staying time of temporarily entering and leaving personnel in the controlled area, and then realize the side management and supervision of their behavior, effectively preventing temporarily entering and leaving personnel from staying in the controlled area for too long; compared with the management methods in the prior art, it is more intelligent, does not require managers to watch at all times, and only requires the assistance and verification of managers in case of abnormal situations, improving the efficiency of access control management and reducing the waste of human resources.

[0059] 3) By setting the feature sequence in the present invention, different feature sequences can be established for different temporarily entering and leaving personnel, so as to facilitate distinction and identification. Then, according to the unique feature sequence of the temporarily entering and leaving personnel, the movement route of the temporarily entering and leaving personnel is verified, which can more conveniently monitor the movement route of the temporarily entering and leaving personnel in the controlled area, and generate a route anomaly signal when the temporarily entering and leaving personnel have abnormal movement, which is convenient for managers to verify and supervise, so as to better ensure the safety in the controlled area. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The present invention will be further described below in conjunction with the drawings and embodiments:

[0061] Figure 1It is a flowchart of the present invention. DETAILED DESCRIPTION

[0062] Example 1

[0063] like Figure 1 As shown, the intelligent access control system based on automatic identification includes at least: an identification system and an electric gate. The identification system controls the opening and closing of the electric gate, identifies the information of people passing through, and allows people who have been authenticated through information identification to pass through.

[0064] A certain area such as a residential area or community under access control management in this system is recorded as a control area, and also includes a permission registration module and a temporary authorization module.

[0065] The permission registration module includes a registration authentication unit, a data verification unit and an authorization binding unit.

[0066] The registration and authentication unit records persons who are not authorized to pass through the electric gate controlled by the identification system as outsiders and records the identity data of the outsiders.

[0067] After confirmation by the management staff, the registration and certification unit will be used to register and authenticate the outsiders entering for the first time. The registration and certification process is as follows:

[0068] 1) Obtain the outsider's facial information, fingerprint information, contact number, and work verification information. Work verification information includes mobile phone screenshots, ID proof, work badge and photocopy, and other documents that can identify the outsider's work unit and work number.

[0069] 2) Save the work authentication information of the outsider, record the fingerprint information, name, contact number, work unit and work number of the outsider in the same data set as an information set and enter it into the identification system's verification database.

[0070] The data verification unit verifies the identity information of outsiders, and after passing the verification, they are registered as temporary entrants.

[0071] The data verification unit verifies the information set in the identification system's verification database. The verification process is as follows:

[0072] 1) Obtain the fingerprint information of the outsider and compare it with the fingerprint information in the preset dangerous person fingerprint database one by one, calculate the similarity of each comparison, extract the maximum similarity and compare it with the preset similarity threshold.

[0073] 2) When the maximum similarity is less than the similarity threshold, the work unit and work number of the foreign employee are obtained.

[0074] 3), Presuppose a unit information database, and compare the work unit and work ID of the foreign personnel with the data in the unit information database.

[0075] The unit information database contains multiple work units. Each work unit contains multiple staff work IDs, and each staff work ID is bound to a name (by dividing entry information into different levels, errors caused by information overlap can be avoided as much as possible during the information verification process, such as having the same name).

[0076] 4), When there are matching work units and work IDs in the unit information database, compare the name of the foreign personnel with the name corresponding to the work ID in the unit information database, record the foreign personnel as temporary entry and exit personnel, and record the current moment as the registration moment.

[0077] It should be noted that the work unit name and work ID are public information, which are actively uploaded by the company to which the work unit belongs or obtained through network search means. The work units entered into the unit information database need to be certified by the management personnel and are formal, compliant, and registered work units by relevant departments.

[0078] The authorization binding unit obtains the facial information and fingerprint information of the temporary entry and exit personnel and enters them into the recognition system authorization library, and grants entry and exit permissions to the temporary entry and exit personnel.

[0079] When the temporary entry and exit personnel pass through the recognition system, they obtain access right authentication and the electric control gate is opened for release. Further, the transportation vehicles of the temporary entry and exit personnel are identified and bound.

[0080] When the temporary entry and exit personnel pass through the recognition system, their personal information (fingerprint information or facial information) and transportation vehicle information are verified. When both the personal information and transportation vehicle information are verified correctly, entry and exit permissions are granted.

[0081] The specific process of binding transportation vehicle information is as follows:

[0082] 1), When the temporary entry and exit personnel first pass through the recognition system, obtain the license plate number of the transportation vehicle of the temporary entry and exit personnel through automatic license plate recognition technology.

[0083] 2), At the same time, calculate the time difference between the current moment and the registration moment of the temporary entry and exit personnel and record it as the registration time difference. Set a registration time difference threshold (the calculation formula for the registration time difference threshold t is where L represents the distance between the location where the temporary entry and exit personnel information is registered and the location of the current passing recognition system, and v is the preset walking speed value).

[0084] 3), When the registration time difference is less than the registration time difference threshold, bind the license plate number to the temporary entry and exit personnel.

[0085] 4) When the registration time difference is greater than or equal to the registration time difference threshold, a binding exception signal is generated, and the staff checks and verifies the temporary entry and exit personnel and their means of transportation. After the temporary entry and exit personnel and their means of transportation pass the verification, the license plate number is bound to the temporary entry and exit personnel.

[0086] By restricting the time difference between the current moment and the registration moment of the temporary entry and exit personnel, it is possible to a certain extent restrict the means of transportation bound by the temporary entry and exit personnel to their commonly used means of transportation.

[0087] It should be noted that in the actual application process, the registration of foreign personnel is generally carried out through machines in the guard hall or the property hall, and general means of transportation cannot enter the indoor area. This results in the inability to register the data of both at the same time, and the staff needs to manually enter and it is difficult to verify the authenticity of the license plate, which affects the efficiency of permission registration and authentication. Through the authorization binding unit, it is possible to more quickly and conveniently bind the temporary entry and exit personnel and the means of transportation they use, enabling the temporary entry and exit personnel to more conveniently take the vehicle to complete the work content through the access control.

[0088] The temporary authorization module grants the passing permission when the data of the temporary entry and exit personnel and their bound means of transportation obtained by the recognition system all match and pass.

[0089] Furthermore, manage the entry and exit permissions of the temporary entry and exit personnel, predict the route and time of the temporary entry and exit personnel according to their destinations, and record and check the passing time when the temporary entry and exit personnel pass through the recognition system.

[0090] The temporary authorization module includes a route prediction unit and a time verification unit. The route prediction unit predicts the route of the temporary entry and exit personnel; the time verification unit predicts the stay time of the temporary entry and exit personnel and compares it with the actual stay time of the temporary entry and exit personnel to generate different signals.

[0091] The route prediction unit plans and predicts the route of the temporary entry and exit personnel when they enter the controlled area. The specific process is as follows:

[0092] 1) Obtain the destination data of the temporary entry and exit personnel. The destination data includes the building number and floor. All building numbers and floor information in the controlled area are preset in the system to form a floor database. When the temporary entry and exit personnel pass through the recognition system, they input the building number and floor they need to go to to form the destination data. The destination data can include multiple floors and multiple building numbers. Compare the destination data input by the temporary entry and exit personnel with the data in the floor database. When all the data in the destination data can find corresponding data in the floor database to match, enter step 2); otherwise, generate a data exception signal.

[0093] 2) Obtain the building number data in the destination data and record it as the target building number. A floor plan map of the control area is preset, and the corresponding positions of all building numbers are in the floor plan map. The target building number is marked in the floor plan map and recorded as the middle point. The number of middle points is recorded as N.

[0094] 3) When N is equal to 1, mark all exits of the control area on the plane map, select the exit closest to the middle point as the end point, draw the shortest route through the entrance (the location where temporary entrants enter and exit personnel input their destination data, that is, the location where temporary entrants enter and exit personnel enter the control area), the middle point, and the end point and record it as the shortest path.

[0095] 4) When N is greater than 1, select the midpoint closest to the entrance for temporary entry and exit (the location where temporary entry and exit personnel enter their destination data) as the initial point, mark all exits of the control area on the plane map, extract the midpoint closest to each exit and calculate its distance to the nearest exit as the nearest distance value, extract the nearest exit corresponding to the midpoint with the smallest nearest distance value except the initial point as the end point, take the entrance as the starting point, the end point as the end point, and all the midpoints as the waypoints, and calculate the shortest path through the starting point, the end point and all the waypoints through the shortest path model algorithm.

[0096] It should be noted that the shortest path model algorithm is an existing technology, which can calculate the shortest path passing through each point when the coordinates of each point are known.

[0097] 5) Display the plan map of the control area and the route map corresponding to the shortest path to temporary entrants and exits, control the opening of the electric gate and record the current time as the entry time. By displaying the route map corresponding to the shortest path, it is convenient for temporary entrants and exits to plan their routes, thereby reducing their stay time and facilitating the entry and exit management of temporary entrants and exits.

[0098] Planning the routes of temporary in-and-out personnel based on their destination data can, on the one hand, facilitate route planning for temporary in-and-out personnel and recommend suitable routes for them when they are not familiar enough with the internal roads of the community. On the other hand, it can also help predict the routes of temporary in-and-out personnel, which is helpful for management in the subsequent process.

[0099] 6) When a data abnormality signal is generated, the electric gate is closed and the access rights of temporary entrants are locked. An abnormality verification instruction is sent to the nearest staff handheld terminal (which can be a walkie-talkie, mobile phone or other mobile device). The staff verifies the temporary entrants. After the verification is passed, steps 1) to 5) are repeated.

[0100] Time verification unit verification, specifically including:

[0101] 1) Obtain the shortest path and calculate the distance of the shortest path, denoted as the total distance S.

[0102] 2) Obtain the total number of floors L′ of the building corresponding to all passing points (i.e., building numbers) and all floor data L corresponding to each passing point i , where i is the serial number of each floor data, i = 1, 2,..., j, and j is the total number of floor data.

[0103] For example, if the input destination data is "Building 2, 4th floor, 7th floor, 13th floor", the corresponding building number is 2, and the floor data is L1 = 4, L2 = 6, L3 = 12. If the building with building number 2 has 18 floors, then its total number of floors L′ = 18.

[0104] 3) Calculate the floor influence value LD of each passing point. The calculation formula is Calculate the sum of all floor influence values, denoted as the floor duration parameter T L .

[0105] 4) Substitute the total distance S and the floor duration parameter T L into the formula for calculation to obtain the duration prediction value T′, where μ1 are all preset weight coefficients.

[0106] 5) Limit the authorized passing time of temporary access personnel to T′. Start timing from the entry time. Within the authorized passing time range, allow temporary access personnel to leave through the electric control gate at the exit of the controlled area after being identified and authenticated by the identification system. When the authorized passing time is exceeded, lock the access permission of the temporary access personnel and generate a data anomaly signal when they pass through the identification system, and send an anomaly verification instruction to the nearest staff handheld terminal.

[0107] It should be noted that the input destination data may contain multiple floors for the same building number. Therefore, all floor data needs to be considered, and the total number of floors of each building is known data.

[0108] By predicting the route of temporary access personnel and based on the distance of their route and the relevant floor data of the destination, reasonably predict the stay time of temporary access personnel in the controlled area, and then realize the lateral management and supervision of their behaviors, effectively preventing temporary access personnel from staying in the controlled area for too long. Compared with the management methods in the prior art, it is more intelligent, does not require managers to watch at all times, and only requires the assistance and verification of managers in case of abnormal situations, improving the efficiency of access control management and reducing the waste of human resources.

[0109] Embodiment 2

[0110] Although the intelligent access control system based on automatic recognition in Embodiment 1 can predict the routes of temporarily entering and exiting personnel and estimate their stay time based on the predicted routes, so as to manage their entry and exit, this method can only manage based on the registration and records at the entry and exit times, and cannot record the information during the route progress, still having certain defects.

[0111] In view of the above deficiencies, this embodiment proposes further improvements. The differences compared with Embodiment 1 are as follows: It further includes a passage verification module, and the passage verification module verifies the routes passed by temporarily entering and exiting personnel.

[0112] The passage verification module includes a feature recognition unit and a verification analysis unit.

[0113] The feature recognition unit captures and recognizes the features of temporarily entering and exiting personnel when they enter the controlled area.

[0114] The verification analysis unit records and monitors the routes of temporarily entering and exiting personnel through the second high-definition cameras at all building entrances within the controlled area, and verifies the passage routes of temporarily entering and exiting personnel according to the recorded data.

[0115] The feature recognition unit obtains a full-frame picture (the whole body picture includes the means of transportation) of temporarily entering and exiting personnel when they enter through the first high-definition camera at the entrance of the controlled area (the verification picture is directly obtained when temporarily entering and exiting personnel pass through the electric control gate), and establishes a feature sequence according to the full-frame picture.

[0116] The process of establishing the feature sequence is as follows:

[0117] 1). Identify the colors of the personnel contour part (the contour recognition technology is an existing image processing technology) in the full-frame picture, and there are multiple preset color labels.

[0118] 2). Obtain the proportion of different color labels in the full-frame picture and establish a proportion bar chart, and obtain the proportion value D of the contour area of the personnel in the full-frame picture (that is, the proportion value of the contour area of temporarily entering and exiting personnel in the total area of the full-frame picture).

[0119] 3). Extract the three color labels with the highest proportion and form the first set [(A, a), (B, b), (C, c)] in the order of the proportion size, where A, B, and C respectively represent the color labels with the first, second, and third highest proportions, and a, b, and c respectively represent the proportion values of A, B, and C. The first set, combined with the contour area proportion value D, jointly forms the feature sequence [(A, a), (B, b), (C, c), D].

[0120] It should be noted that the high-definition cameras are set at positions where they can fully capture the full-frame images of temporarily entering and exiting personnel. The configuration parameters used by each high-definition camera are the same, so as to ensure that there are no differences in color deviation, aspect ratio, etc. in the captured images. By setting characteristic sequences, different characteristic sequences can be established for different temporarily entering and exiting personnel, which is convenient for distinction and identification.

[0121] The verification and analysis unit conducts route verification on temporarily entering and exiting personnel after they enter the controlled area and before they leave through the identification system.

[0122] The route verification process is as follows:

[0123] 1). Denote the characteristic sequence of the temporarily entering and exiting personnel as the target characteristic sequence. Obtain the full-frame images of all personnel entering the camera range through the second high-definition cameras in front of each building, and establish the corresponding characteristic sequence, which is denoted as the comparison characteristic sequence.

[0124] 2). Compare the comparison characteristic sequence with the target characteristic sequence. When the comparison characteristic sequence is the same as the target characteristic sequence, obtain the recording time of this comparison characteristic sequence and the corresponding building number, and then draw the movement route of the temporarily entering and exiting personnel according to the sequence of the recording time and the building number.

[0125] 3). Compare the movement route with the predicted route map; when the two are completely consistent, generate a signal indicating that the routes are the same (that is, all the building numbers passed through are the same, and the sequence of passing through is the same as the predicted plan). When the building numbers corresponding to the passing points of the two are the same but the sequence is inconsistent, generate a route change signal; when the building numbers corresponding to the passing points of the two are inconsistent (that is, entering an unregistered building), generate a route anomaly signal.

[0126] By verifying the movement route of temporarily entering and exiting personnel, it is possible to more conveniently monitor the movement route of temporarily entering and exiting personnel in the controlled area, and generate a route anomaly signal when there is an abnormal movement of temporarily entering and exiting personnel, which is convenient for management personnel to verify and supervise, so as to better ensure the safety in the controlled area.

Claims

1. An intelligent access control system based on automatic identification, comprising an identification system and an electric control gate, characterized in that: The managed area is recorded as the control area, which also includes the permission registration module and the temporary authorization module; The permission registration module includes a registration authentication unit, a data verification unit and an authorization binding unit; The registration and authentication unit records people who are not authorized by the identification system and are prohibited from passing through the electric gate as outsiders. After confirmation by the management personnel, the registration and authentication unit will register and authenticate outsiders entering for the first time, and record the identity data of outsiders to form an information set; The data checking unit checks the data in the information set of the outsider, and after the verification is passed, registers the outsider as a temporary in-and-out person, records the outsider as a temporary in-and-out person, and records the current time as the registration time; The authorization binding unit identifies the means of transportation of temporary entrants and entrants within a certain period of time at the time of registration and binds the information of the temporary entrants and entrants; The temporary authorization module grants access rights to temporary entrants when the data of the temporary entrants and their associated transportation vehicles obtained by the identification system match, and manages the access rights of temporary entrants. The temporary authorization module includes a route prediction unit and a time verification unit; The route prediction unit plans and predicts the routes of temporary in-and-out personnel based on their destinations and map data of the control area; The time verification unit calculates the required passage time for temporary entry and exit personnel based on the predicted route, compares the estimated time with the actual stay time of the temporary entry and exit personnel, and generates different signals to control whether the recognition system grants access rights; Authorization binding unit binding, specifically including: 1) The authorization binding unit obtains the facial information and fingerprint information of temporary entrants and enters them into the authorization database of the recognition system, granting entry and exit permissions to temporary entrants; 2) When the temporary entrant passes through the identification system, he / she is authenticated for right of passage and the electronically controlled gate is opened to allow him / her to pass. When the temporary entrant passes through the identification system for the first time, the automatic license plate recognition technology is used to obtain the license plate number of the temporary entrant's vehicle. 3), Meanwhile, calculate the time difference between the current moment and the registration moment of the temporary in-and-out personnel, which is denoted as the registration time difference. Set a registration time difference threshold, and the calculation formula for the registration time difference threshold t is ; where L represents the distance between the location of the temporary in-and-out personnel information registration and the location of the current passing identification system, and v is the preset walking speed value; 4) When the registration time difference is less than the registration time difference threshold, the license plate number is bound to the temporary entry and exit personnel; 5) When the registration time difference is greater than or equal to the registration time difference threshold, a binding abnormality signal is generated, and the staff will check and verify the temporary entry and exit personnel and their means of transportation. After the temporary entry and exit personnel and their means of transportation pass the check, the license plate number will be bound to the temporary entry and exit personnel. 6) When personal information and transportation information are verified to be correct, access permission will be granted; Time verification unit verification, specifically including: 1) Obtain the shortest path and calculate the distance of the shortest path as the total distance S; 2), Obtain the total number of floors of the buildings corresponding to all passing points and all floor data corresponding to each passing point , calculate the floor influence value of each passing point , ; Where: i is the serial number of each floor data, i=1, 2, ..., j, j is the total number of floor data; 3), Calculate the sum of the influence values of all floors and record it as the floor duration parameter , Substitute the total distance S and the floor duration parameter into the formula for calculation to obtain the duration prediction value ; Wherein: are all preset weight coefficients; 4), Limit the authorized passage time of temporary incoming and outgoing personnel to , starting from the entry time; within the authorized passage time range, allow temporary incoming and outgoing personnel to leave through the electric control gate at the exit of the controlled area after being identified and authenticated by the identification system; when the authorized passage time is exceeded, lock the access rights of temporary incoming and outgoing personnel and generate a data anomaly signal when they pass through the identification system, and send an anomaly verification instruction to the nearest staff handheld terminal.

2. The intelligent access control system based on automatic identification according to claim 1, wherein: Registration and certification unit registration and certification, including: 1) Obtaining facial information, fingerprint information, contact number and work certification information of outsiders; 2) Save the work authentication information of the outsider, record the fingerprint information, name, contact number, work unit and work number of the outsider in the same data set, record it as an information set, and enter it into the identification system's verification database.

3. The intelligent access control system based on automatic identification according to claim 1, wherein: Data verification unit verification, specifically including: 1). Obtain the fingerprint information of the outsider and compare it one by one with the fingerprint information in the preset dangerous personnel fingerprint database, and calculate the similarity of each comparison; 2). Extract the maximum similarity and compare it with the preset similarity threshold. When the maximum similarity is less than the similarity threshold, obtain the work unit and job number of the outsider; 3). Preset a unit information database. When there is a matching work unit and job number in the unit information database, check the name of the outsider with the name corresponding to the job number in the unit information database, record the outsider as a temporary entry and exit personnel, and record the current moment as the registration moment.

4. The intelligent access control system based on automatic identification according to claim 1, wherein: Route prediction unit plans and predicts the route, specifically including: 1). Obtain the destination data of the temporary entry and exit personnel, and the destination data includes the building number and floor; all building numbers and floor information in the controlled area are preset in the system to form a floor database. When the temporary entry and exit personnel pass through the recognition system, they input the building number and floor they need to go to to form the destination data. Compare the destination data input by the temporary entry and exit personnel with the data in the floor database. When all data in the destination data can find corresponding data in the floor database to match, enter step 2), otherwise, generate a data anomaly signal; 2). Obtain the building number data in the destination data and record it as the target building number. Preset a floor plan of the controlled area, and there are corresponding positions of all building numbers in the floor plan. Mark the target building number in the floor plan and record it as the intermediate point, and record the number of intermediate points as N; 3). When N is equal to 1, mark all exits of the controlled area in the floor plan, select the exit closest to the intermediate point and record it as the end point, and draw the shortest route passing through the entrance, intermediate point, and end point and record it as the shortest path; 4). When N is greater than 1, select the intermediate point closest to the entrance of the temporary entry and exit personnel and record it as the starting point. Mark all exits of the controlled area in the floor plan, extract the intermediate point closest to each exit and calculate its distance value from the closest exit and record it as the nearest distance value. Extract the closest exit corresponding to the intermediate point with the smallest nearest distance value except the starting point and record it as the end point. Starting from the entrance, ending at the end point, and passing through all intermediate points as waypoints, calculate the shortest path passing through the starting point, end point, and all waypoints through the shortest path model algorithm; 5). Display the floor plan of the controlled area and the route map corresponding to the shortest path to the temporary entry and exit personnel, control the electric control gate to open, and record the current moment as the entry moment; 6). When a data anomaly signal is generated, close the electric control gate and lock the entry and exit permission of the temporary entry and exit personnel, send an anomaly verification instruction to the nearest staff handheld terminal, and let the staff verify the temporary entry and exit personnel. After verification, perform 1)-5) again.

5. The intelligent access control system based on automatic identification according to claim 1, characterized in that: It also includes a passage verification module, which verifies the route passed by the temporary entry and exit personnel; The passage verification module includes a feature recognition unit and a verification analysis unit; The feature recognition unit captures and recognizes the features of the temporary entry and exit personnel when they enter the controlled area; The verification and analysis unit records and monitors the routes of temporarily entering and exiting personnel through the second high-definition cameras at all building entrances within the control area, and verifies the passing routes of temporarily entering and exiting personnel based on the recorded data.

6. The intelligent access control system based on automatic identification according to claim 5, characterized in that: The feature recognition unit obtains a full-frame picture of temporarily entering and exiting personnel when they enter through the first high-definition camera at the entrance of the control area, and establishes a feature sequence based on the full-frame picture.

7. The intelligent access control system based on automatic identification according to claim 6, characterized in that: The establishment of the feature sequence specifically includes: 1) Identify the colors of the personnel contour part in the full-frame picture; 2) Preset multiple color labels, obtain the proportion of different color labels in the full-frame picture and establish a proportion bar chart, and obtain the proportion value D of the contour area of the personnel in the full-frame picture; 3) Extract the three color labels with the highest proportion and form the first set [(A, a), (B, b), (C, c)] in the order of proportion size, where: A, B, and C respectively represent the color labels with the first, second, and third highest proportions, and a, b, and c respectively represent the proportion values of A, B, and C. The first set, combined with the contour area proportion value D, jointly forms the feature sequence [(A, a), (B, b), (C, c), D].

8. The intelligent access control system based on automatic identification according to claim 7, characterized in that The verification and analysis unit verifies the route, specifically including: 1) Denote the feature sequence of the temporarily entering and exiting personnel as the target feature sequence, obtain the full-frame pictures of all personnel entering the camera range through the second high-definition cameras in front of each building, and establish the corresponding feature sequence as the comparison feature sequence; 2) Compare the comparison feature sequence with the target feature sequence; when the comparison feature sequence is the same as the target feature sequence, obtain the recording time and the corresponding building number of the comparison feature sequence, so as to draw the movement route of the temporarily entering and exiting personnel according to the sequence of recording times and building numbers; 3) Compare the movement route with the predicted route map; when the two are exactly the same, generate a route consistency signal. When the building numbers corresponding to all passing points of the two are the same but the sequence is inconsistent, generate a route change signal; when the building numbers of the corresponding passing points of the two are inconsistent, generate a route anomaly signal.

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