Park personnel passing management method and device and storage medium

Abstract

The invention relates to the field of smart parks, and provides a park personnel passing management method and device, and a storage medium. The park personnel passing management method comprises the steps of determining the number of gathered people at an association position based on first video information acquired by video acquisition equipment arranged at the association position of a target entrance and exit under the condition that the target people flow at the target entrance and exit of a park is greater than a preset early warning flow threshold, the distance between the associated position and the target entrance is smaller than a preset distance threshold; correcting a preset passing speed based on the target people flow and the gathered people number to obtain an expected passing speed; and generating passing prompt information based on the expected passing speed. Through adoption of the scheme, the traffic speed can be predicted in combination with the target pedestrian flow and the number of gathered people at the associated position under the condition of monitoring that the pedestrian flow at the target entrance and exit is relatively large, and the traffic prompt information is generated based on the expected traffic speed, so that a user can be better assisted to pre-judge the traffic state at the target entrance and exit.

Description

Technical Field

[0001] The present application relates to the field of smart parks, and in particular to methods, equipment and storage media for managing the passage of people through parks. Background Art

[0002] In the process of park management, personnel management is an important part, which usually includes traffic area management, personnel flow management, etc. With the application of information technology, information equipment such as gates and cameras are gradually put into the park, which brings convenience to the personnel management of the park.

[0003] In the related art, video information of the entrance and exit is collected by video acquisition equipment installed at the entrance and exit, and the traffic status of the entrance and exit is analyzed based on the video information to provide traffic prompts to users, thereby achieving management of the traffic of people in the park.

[0004] However, the related technology can only provide prompts for the current status of the entrance and exit locations, while the status of the entrance and exit locations will change dynamically, which will make it difficult for users to predict the traffic status of the entrance and exit locations based on the traffic prompt information, thereby resulting in poor traffic prompt effects. Summary of the invention

[0005] In order to help improve the effectiveness of passage prompts, this application provides a park personnel passage management method, equipment and storage medium.

[0006] In the first aspect, the present application provides a method for managing the passage of personnel in a park, which adopts the following technical solutions: A method for managing the passage of personnel in a park, the method comprising: Monitor the target flow of people at the target entrances and exits of the park; When the target flow of people is greater than a preset warning flow threshold, first video information collected by a video acquisition device set at an associated position of the target entrance and exit is obtained, and the distance between the associated position and the target entrance and exit is less than a preset distance threshold; Determine the number of people gathered at the associated location based on the first video information; The preset traffic speed is modified based on the target flow of people and the number of people gathered to obtain the expected traffic speed; Passing prompt information is generated based on the expected passing speed.

[0007] By adopting the above-mentioned technical scheme, when monitoring a large flow of people at a target entrance and exit, the number of people gathered at the associated location can be determined based on the first video information of the associated location of the target entrance and exit, and the traffic speed can be predicted in combination with the target flow of people and the number of people gathered, so as to generate traffic prompt information based on the expected traffic speed. This can better assist users in predicting the traffic status of the target entrance and exit, thereby improving the effect of the traffic prompt.

[0008] Optionally, the associated positions include at least two, and the preset traffic speed is corrected based on the target flow of people and the number of people gathered to obtain the expected traffic speed, including: The sum of the number of people gathered at each associated location is determined as the total number of people gathered; The preset traffic speed is adjusted based on the target flow rate and the total number of people gathered to obtain a reference traffic speed; for each associated position, the reference traffic speed is corrected based on the proportion of the number of people gathered at the associated position to the total number of people gathered to obtain an expected traffic speed corresponding to the associated position.

[0009] By adopting the above technical solution, in the process of calculating the expected traffic speed, it is possible to fully consider the impact of the total number of people gathered at each associated location on the overall traffic speed, and to reasonably determine the degree of impact of the number of people gathered at the associated location on the traffic speed corresponding to the associated location based on the proportion of the number of people gathered at the associated location to the total number of people gathered, which can help improve the accuracy of the calculated expected traffic speed.

[0010] Optionally, the reference traffic speed is corrected based on the proportion of the number of people gathered at the associated location to the total number of people gathered to obtain the expected traffic speed corresponding to the associated location, including: Determining a correction parameter corresponding to the associated position based on a ratio of a distance from the associated position to the target entrance and exit to the preset distance threshold; The reference traffic speed is corrected based on the correction parameter corresponding to the associated position and the proportion of the number of people gathered at the associated position to the total number of people gathered to obtain the expected traffic speed corresponding to the associated position.

[0011] By adopting the above technical solution, the impact of the target passenger flow and the total number of people gathered on the expected travel speed can be reasonably adjusted based on the distance from the associated location to the target entrance and exit, which can help to further improve the accuracy of the determined expected travel speed.

[0012] Optionally, the expected travel speed is calculated by the following formula: Among them, v iis the expected speed corresponding to the i-th associated position; v0 is the preset speed; k1 and k2 are proportional coefficients, and both k1 and k2 are less than 1; f is the target flow of people; F MAX is the maximum allowed flow of people at the target entrance and exit; i is the number of people gathered at the i-th associated position; p SUM is the total number of people gathered, P MAX is the sum of the maximum number of people allowed to be carried at each associated location; d i is the distance from the i-th associated position to the target entrance and exit; D MAX is the preset distance threshold.

[0013] Optionally, before the preset traffic speed is corrected based on the target flow rate and the number of people gathered to obtain the expected traffic speed, the method further includes: Acquire second video information collected by a video acquisition device provided at the target entrance and exit; determining the congestion level of the target entrance and exit based on the second video information; The step of correcting the preset traffic speed based on the target flow of people and the number of people gathered to obtain the expected traffic speed includes: The preset traffic speed is modified based on the congestion level, the target flow of people and the number of people gathered to obtain the expected traffic speed.

[0014] By adopting the above technical solution, the expected traffic speed can be calculated in combination with the congestion level of the target entrance and exit, so that the impact of the congestion level on the traffic speed can be further considered in the process of calculating the expected traffic speed, which can help improve the accuracy of the determined expected traffic speed.

[0015] Optionally, the generating of the traffic prompt information based on the expected traffic speed includes: Determine whether the expected passing speed is less than a historical passing speed, where the historical passing speed is an expected passing speed determined historically or an actual passing speed in history; In the case where the expected passing speed is less than the historical passing speed, determining whether a decreasing speed of the expected passing speed is greater than a preset speed threshold; When the decrease speed of the expected traffic speed is greater than the preset speed threshold, congestion prompt information is generated.

[0016] By adopting the above technical solution, when the expected traffic speed is predicted, the prompt method can be judged based on the relationship between the expected traffic speed and the historical traffic speed. In this way, the content of the traffic prompt information can be determined based on the actual situation of the expected traffic speed, which can help to further improve the effect of the traffic prompt.

[0017] Optionally, when the target flow rate is greater than a preset warning flow rate threshold, the method further includes: Acquire second video information collected by a video acquisition device provided at the target entrance and exit; Performing face extraction on the second video information to obtain target face information; For each of the target face information, matching the target face information with the first face information in the first face database; When the first facial information corresponding to the target facial information is matched, a first alarm prompt message is generated and sent to the park administrator.

[0018] By adopting the above technical solution, when the target flow rate is greater than the warning flow rate threshold, the second video information of the target entrance and exit can be automatically obtained, and the facial information extracted from the video information can be matched with the facial information in the first facial database. In this way, in the case of large flow of people, active personnel monitoring can be carried out, and people who are not allowed to enter the park can be discovered in time, which can help improve the safety of the park.

[0019] Optionally, after performing face extraction on the second video information to obtain target face information, the method further includes: when the target entrance and exit is an entrance and exit of a key area, for each target face information, matching the target face information with second face information in a second face database; If the second facial information corresponding to the target facial information is not matched, a second alarm prompt message is generated and sent to the administrator of the key area.

[0020] By adopting the above technical solution, for the entrances and exits of key areas, when the flow of people is large, not only the facial information belonging to the first facial database will be monitored, but also the facial information not belonging to the second facial database will be monitored, so as to timely detect people who are not in the whitelist, which can help improve the security of key areas.

[0021] In a second aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device, comprising: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute any one of the campus personnel passage management methods provided in the first aspect.

[0022] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute any one of the park personnel passage management methods provided in the first aspect.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: 1. When monitoring a large flow of people at a target entrance and exit, the number of people gathered at the associated location can be determined based on the first video information of the associated location of the target entrance and exit, and the travel speed can be predicted based on the target flow of people and the number of people gathered, so as to generate travel prompt information based on the expected travel speed. This can better assist users in predicting the travel status of the target entrance and exit, thereby improving the effect of the travel prompt.

[0024] 2. Since the expected travel speed is obtained by correcting the preset travel speed based on the flow of people at the target entrance and exit and the number of people gathered at the associated locations, it is convenient to dynamically adjust the expected travel speed based on actual conditions, which can help reduce the difficulty of calculating the expected travel speed and also help improve the calculation efficiency of the expected travel speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flow chart of a method for managing the passage of personnel in a park provided in an embodiment of the present application; Figure 2 It is a flowchart of a method for determining a predicted passing speed provided in an embodiment of the present application; Figure 3 It is a flowchart of another method for determining the predicted passing speed provided in an embodiment of the present application; Figure 4 It is a flowchart of another method for determining the expected passing speed provided in an embodiment of the present application; Figure 5 It is a flowchart of a prompt information generation method provided in an embodiment of the present application; Figure 6 It is a flowchart of an alarm prompt generation method provided in an embodiment of the present application; Figure 7 It is a flowchart of another alarm prompt generation method provided in an embodiment of the present application; Figure 8 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-8It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0027] The present application embodiment discloses a method for managing the passage of park personnel. Figure 1 , the park personnel passage management method includes: Step 101, monitoring the target flow of people at the target entrance and exit of the park.

[0028] The target entrance and exit refers to an entrance and exit that needs to be managed by personnel. Specifically, the target entrance and exit may be an entrance and exit of a park, or an entrance and exit of a building or a specific area in the park. This embodiment does not limit the type of the target entrance and exit.

[0029] The target flow of people refers to the number of people passing through the target entrance and exit within a preset time. Specifically, the target flow of people can be obtained by analyzing the video information collected by the video acquisition device set at the target entrance and exit, or can be determined based on the opening and closing data of the gate set at the target entrance and exit, or can be determined based on Wi-Fi tracking.

[0030] Optionally, the target human flow may be human flow in a specified direction, such as incoming human flow or outgoing human flow, or may be the sum of human flow in different directions. The calculation method of the target human flow may be set according to actual needs.

[0031] Step 102: when the target flow of people is greater than a preset warning flow threshold, first video information collected by a video collection device set at a location associated with the target entrance and exit is obtained.

[0032] The distance between the associated position and the target entrance and exit is less than a preset distance threshold. Specifically, the associated position corresponding to the entrance and exit is preset, and the associated position can be located on the side of the entrance or the side of the exit.

[0033] In one example, the associated location is connected to the target entrance or exit through a passage or an open area.

[0034] In actual implementation, the number of associated positions may be one, or may be more than two. When there are more than two associated positions, it is necessary to obtain first video information captured by video capture devices set at different associated positions respectively.

[0035] Step 103: determine the number of people gathered at the associated location based on the first video information.

[0036] Step 104, modifying the preset speed based on the target flow of people and the number of people gathered to obtain the expected speed.

[0037] The preset speed is based on the normal walking speed of a person. For example, the preset speed is 4 km / h.

[0038] The expected speed is used to indicate the expected speed between the associated location and the target entrance and exit. During the research process, it was found that the flow of people at the target entrance and exit and the number of people gathered at the associated location will affect the speed between the associated location and the target entrance and exit. For example, when the flow of people is large and / or the number of people gathered is large, it will affect the passage of people between the associated location and the target entrance and exit, causing the speed of people to slow down, and then making the expected speed less than the preset speed.

[0039] In addition, since the distance between the associated position and the target entrance and exit is very close, the target flow of people will also affect the travel speed between the associated position and the target entrance and exit. For example, when the flow of people at the target entrance and exit is large, the travel speed between the associated position and the target entrance and exit will be reduced accordingly due to the large number of people and limited space.

[0040] In one example, the expected speed is calculated by: Where v is the expected speed; v0 is the preset speed; k is the proportionality coefficient, k is less than 1, for example: k is 0.4; f is the target flow rate; F MAX is the maximum allowed flow of people at the target entrance and exit; p is the number of people gathered; P M The maximum number of people allowed at the associated location.

[0041] Furthermore, when there are multiple associated positions, the above method can also be used to calculate the expected travel speed corresponding to each associated position.

[0042] Step 105: Generate traffic prompt information based on the expected traffic speed.

[0043] Optionally, the traffic prompt information includes an expected traffic speed. Further, the expected traffic speed may be analyzed, and the analysis result may be added to the traffic prompt information to assist the user in making a decision. For example, when the expected traffic speed is less than a preset speed threshold, congestion warning information may be added to the prompt information to remind the user of congestion ahead.

[0044] In one example, the passage prompt information is displayed by an electronic screen set at the associated location and / or the target entrance and exit. In actual implementation, the passage prompt information can also be displayed by an electronic screen set at other locations inside and outside the park, so that people can easily obtain the passage prompt information.

[0045] In another example, the traffic prompt information is uploaded to the cloud platform, and the cloud platform provides a user interaction page, through which the user can obtain the traffic prompt information.

[0046] In other examples, traffic reminder information may also be pushed to users via text messages, in-app message prompts, and the like.

[0047] The implementation principle of a method for managing the passage of personnel in a park in an embodiment of the present application is as follows: monitoring the target flow of people at the target entrance and exit of the park; when the target flow of people is greater than a preset warning flow threshold, obtaining the first video information collected by the video acquisition device set at the associated position of the target entrance and exit, and the distance between the associated position and the target entrance and exit is less than the preset distance threshold; determining the number of people gathered at the associated position based on the first video information; correcting the preset passage speed based on the target flow of people and the number of people gathered to obtain the expected passage speed; and generating passage prompt information based on the expected passage speed. By adopting the above scheme, when monitoring a large flow of people at the target entrance and exit, the number of people gathered at the associated position can be determined based on the first video information at the associated position of the target entrance and exit, and the passage speed can be predicted in combination with the target flow of people and the number of people gathered, so as to generate passage prompt information based on the expected passage speed, so as to better assist users in predicting the passage status of the target entrance and exit, and thus improve the effect of the passage prompt.

[0048] In addition, since the expected travel speed is obtained by correcting the preset travel speed based on the flow of people at the target entrance and exit and the number of people gathered at its associated location, it is convenient to dynamically adjust the expected travel speed based on actual conditions, which can help reduce the difficulty of calculating the expected travel speed and also help improve the calculation efficiency of the expected travel speed.

[0049] In practice, it is found that in a complex environment, one entrance and exit may be connected to multiple channels. Due to the influence of factors such as channel size and the area it leads to, the number of people gathered in different channels may be different. The number of people in these channels will directly or indirectly affect the flow of people at the entrance and exit. In order to help more accurately analyze the status of entrances and exits in complex environments, the following further technical solutions are provided on the basis of the above technical solutions.

[0050] In some embodiments, the associated positions include at least two, for example, the target entrance and exit are connected to multiple channels, and each channel corresponds to an associated position.

[0051] Accordingly, reference Figure 2 The above step 104, based on the target flow rate and the number of people gathered, corrects the preset speed to obtain the expected speed, including the following steps: Step 201, the sum of the number of people gathered corresponding to each associated position is determined as the total number of people gathered.

[0052] Step 202, adjusting the preset traffic speed based on the target passenger flow and the total number of people gathered to obtain a reference traffic speed.

[0053] Since the number of people gathered at each associated position affects the traffic status of the target entrance and exit, the number of people gathered at each associated position is comprehensively considered when calculating the reference speed, which can help improve the accuracy of determining the reference traffic speed.

[0054] In one example, the reference speed is calculated by the following formula: Among them, v c is the reference speed; v0 is the preset speed; k1 is the proportional coefficient, k1 is less than 1, for example: k1 is 0.5; F MAX is the maximum allowed flow of people at the target entrance and exit; P SUM is the total number of people gathered, P MAX It is the sum of the maximum number of people allowed at each associated location.

[0055] Step 203: For each associated position, the reference travel speed is corrected based on the proportion of the number of people gathered at the associated position to the total number of people gathered, so as to obtain the expected travel speed corresponding to the associated position.

[0056] In one example, the expected speed is calculated by: Among them, v i is the expected speed corresponding to the i-th associated position; v c is the reference speed; k2 is the proportionality coefficient, and k2 is less than 1, for example: k2 is 0.4; p i is the number of people gathered at the i-th associated position; p SUM is the total number of people gathered.

[0057] Furthermore, since the degree of congestion at the associated location will also affect the travel speed, and the degree of congestion at the associated location can be expressed by the ratio of the number of people gathered to the maximum allowed number of people at the associated location, the ratio of the number of people gathered to the maximum allowed number of people at the associated location can be further considered in the process of calculating the expected travel speed, which can further improve the accuracy of the calculation of the expected travel speed.

[0058] In the above-mentioned embodiment, when there are at least two associated locations, the reference traffic speed can be first determined based on the total number of people gathered at each associated location, and then the reference traffic speed can be corrected based on the proportion of the number of people gathered at the associated location to the total number of people gathered, to obtain the expected traffic speed corresponding to the associated location. In this way, in the process of calculating the expected traffic speed, the influence of the total number of people gathered at each associated location on the overall traffic speed can be fully considered, and the degree of influence of the number of people gathered on the traffic speed corresponding to the associated location can be reasonably determined based on the proportion of the number of people gathered at the associated location to the total number of people gathered, which can help improve the accuracy of the calculated expected traffic speed.

[0059] For further reference, Figure 3 Step 203, for each associated position, the reference speed is corrected based on the proportion of the number of people gathered at the associated position to the total number of people gathered, to obtain the expected speed corresponding to the associated position, including the following steps: Step 301: determining a correction parameter corresponding to the associated position based on a ratio of a distance from the associated position to a target entrance and exit and a preset distance threshold.

[0060] Among them, the distance from the associated position to the target entrance and exit is less than a preset distance threshold.

[0061] The distances from different associated positions to the target entrance and exit may vary. In practice, it is found that the farther the associated position is from the target entrance and exit, the less the corresponding travel speed is affected by the target passenger flow and the total number of people gathered; the closer the associated position is to the target entrance and exit, the greater the impact of the target passenger flow and the total number of people gathered.

[0062] Based on this, in this embodiment, the travel speed is determined in combination with the distance from the associated position to the target entrance and exit, so that the impact of the target passenger flow and the total number of people gathered on the expected travel speed can be reasonably adjusted, which can help improve the accuracy of the determined expected travel speed.

[0063] Step 302, based on the correction parameters corresponding to the associated position and the proportion of the number of people gathered at the associated position to the total number of people gathered, the reference travel speed is corrected to obtain the expected travel speed corresponding to the associated position.

[0064] In one example, the expected traffic speed is expressed by: Among them, v i is the expected speed corresponding to the i-th associated position; v0 is the preset speed; k1 and k2 are proportional coefficients, and both k1 and k2 are less than 1; f is the target flow; F MAX is the maximum allowed flow of people at the target entrance and exit; iis the number of people gathered at the i-th associated position; p SUM is the total number of people gathered, PMAX is the sum of the maximum number of people allowed at each associated location; d i is the distance from the i-th associated position to the target entrance and exit; D MAX is the preset distance threshold.

[0065] In the above implementation, the distance from the associated position to the target entrance and exit can be taken into account when correcting the reference travel speed. In this way, the impact of the target passenger flow and the total number of people gathered on the expected travel speed can be reasonably adjusted based on the distance from the associated position to the target entrance and exit, which can help to further improve the accuracy of the determined expected travel speed.

[0066] In some embodiments, reference Figure 4 Step 104, before the preset speed is modified based on the target flow of people and the number of people gathered to obtain the expected speed, the following steps are also included: Step 401, obtaining second video information collected by a video collection device provided at a target entrance and exit.

[0067] Step 402: Determine the congestion level of the target entrance and exit based on the second video information.

[0068] In one example, determining the congestion level of a target entrance and exit based on the second video information includes: determining the current number of people at the target entrance and exit based on the second video information; and determining the ratio of the current number of people to the maximum number of people allowed at the target entrance and exit as the congestion level of the target entrance and exit.

[0069] In actual implementation, the congestion level of the target entrance and exit can also be obtained by directly analyzing the second video information, for example, the congestion level of the target entrance and exit is determined based on the proportion of the projection area corresponding to the person to the video screen area corresponding to the second video information.

[0070] Accordingly, in step 104, the preset speed is modified based on the target flow rate and the number of people gathered to obtain the expected speed, including: Step 403, based on the degree of congestion, target flow rate and number of people gathered, the preset speed is modified to obtain the expected speed.

[0071] It is found in practice that the congestion level of the target entrance and exit will also affect the travel speed. Specifically, the greater the congestion level, the lower the travel speed. Based on this, the present embodiment further considers the impact of congestion level on travel speed during the calculation of the expected travel speed, which can help improve the accuracy of the determined expected travel speed.

[0072] In one example, the expected speed is calculated by: Among them, v i is the expected speed corresponding to the i-th associated position; v c is the reference speed; k2 is the proportionality coefficient, and k2 is less than 1, for example: k2 is 0.4; p i is the number of people gathered at the i-th associated position; P M is the total number of people gathered; n is the current number of people at the target entrance and exit; N MAX The maximum number of people allowed at the target entrance and exit.

[0073] In the above implementation, the expected traffic speed may be calculated in combination with the congestion level of the target entrance and exit, so that the impact of the congestion level on the traffic speed may be further considered during the calculation of the expected traffic speed, which may help improve the accuracy of the determined expected traffic speed.

[0074] In some embodiments, reference Figure 5 , step 105, generating a traffic prompt message based on the expected traffic speed, including the following steps: Step 501, determining whether the expected travel speed is less than the historical travel speed.

[0075] The historical speed is an expected speed determined in history or an actual speed in history. In one example, the actual speed is calculated from video information collected by the video component.

[0076] Optionally, the historical speed is the expected speed or the actual speed before the preset reference time corresponding to the current time. The preset reference time can be set according to actual conditions, for example, the preset reference time is 5 minutes.

[0077] Step 502: When the expected passing speed is less than the historical passing speed, determine whether the decreasing speed of the expected passing speed is greater than a preset speed threshold.

[0078] When the expected traffic speed is not less than the historical traffic speed, it means that the traffic status of the target entrance and exit has a trend of improvement, and even if it is currently in a congested state, it can be improved relatively quickly. At this time, the actual size of the expected traffic speed can be further combined to generate traffic prompt information.

[0079] In one example, the speed of decrease of the expected passing speed is calculated as follows: first, the speed difference between the expected passing speed and the historical passing speed, and the time difference between the current time and the time corresponding to the historical passing speed are calculated; and the ratio of the speed difference to the time difference is determined as the speed of decrease of the expected passing speed.

[0080] In actual implementation, the speed of decrease of the expected traffic speed can also be obtained by analyzing the expected traffic speed generated in the recent period.

[0081] Step 503: When the decrease speed of the expected traffic speed is greater than a preset speed threshold, a congestion warning message is generated.

[0082] When the expected speed reduction rate is greater than the preset speed threshold, it means that the speed of the target entrance and exit is decreasing rapidly. At this time, it can be predicted that the congestion level of the target entrance and exit will increase, so it is necessary to provide congestion prompts to users.

[0083] In the above-mentioned implementation mode, when the expected passing speed is predicted, the prompt mode can be further determined based on the relationship between the expected passing speed and the historical passing speed, and when the passing speed is lower than the historical passing speed, the prompt mode can be further determined based on the relationship between the speed at which the expected passing speed decreases and the preset speed threshold. In this way, the content of the passing prompt information can be determined based on the actual situation of the expected passing speed, which can help to further improve the effect of the passing prompt.

[0084] In some embodiments, reference Figure 6 In step 102, when the target flow rate is greater than the preset warning flow rate threshold, the following steps are also included: Step 601, obtaining second video information collected by a video collection device set at a target entrance and exit.

[0085] Step 602: extract the face from the second video information to obtain the target face information.

[0086] Among them, the target facial information corresponds one-to-one with the faces in the second video information, that is, one face corresponds to one target facial information.

[0087] In one example, the target facial information is obtained by intercepting a region of the second video information that contains facial information.

[0088] It should be noted that due to the limitation of the acquisition angle of the video acquisition component, the video acquisition component may not be able to completely capture the facial images of all people in the picture at a certain moment. However, since people will move, it is possible to conduct a comprehensive analysis of the image information at multiple moments in the second video information, so that more target facial information can be extracted.

[0089] Step 603: For each target face information, match the target face information with the first face information in the first face database.

[0090] The first face database is used to store face information of persons who are not allowed to enter the park. Specifically, the first person data may include at least one of face information of criminals, face information of high-risk persons, and face information of blacklisted persons.

[0091] Step 604: When the first facial information corresponding to the target facial information is matched, a first alarm prompt message is generated and sent to the park administrator.

[0092] In one example, when the first facial information corresponding to the target facial information is the information of a criminal, an alarm prompt message will be automatically sent to the police for joint processing.

[0093] In practice, it was found that when the flow of people at the target entrance and exit is large, it is easier for people who are not allowed to enter the park to mix into the crowd, which brings unsafe factors to the park. Therefore, in the above technical solution, when the target flow is greater than the warning flow threshold, the second video information of the target entrance and exit will be automatically obtained, and the face information extracted from the video information will be matched with the face information in the first face database, and when the first face information corresponding to the target face information is matched, the first alarm prompt information will be sent to the park administrator. In this way, when the flow of people is large, active personnel monitoring can be carried out, and people who are not allowed to enter the park can be discovered in time, which can help improve the safety of the park.

[0094] For further reference, Figure 7 In step 602, after extracting the face from the second video information and obtaining the target face information, the following steps are also included: Step 701, when the target entrance and exit is the entrance and exit of the key area, for each target facial information, the target facial information is matched with the second facial information in the second facial database.

[0095] The second face database is used to store the face information of people who are allowed to enter the key areas. In actual implementation, the management of key areas usually uses a whitelist approach, that is, only designated people are allowed to enter. Therefore, for key areas, not only those who are not allowed to enter the park should be monitored, but also those outside the whitelist should be monitored, so that the management of key areas can be strengthened.

[0096] Step 702: If the second facial information corresponding to the target facial information is not matched, a second alarm prompt message is generated and sent to the administrator of the key area.

[0097] In the above implementation, for the entrances and exits of key areas, when the flow of people is large, not only the facial information belonging to the first facial database will be monitored, but also the facial information not belonging to the second facial database will be monitored, so as to timely detect people who are not in the whitelist, which can help improve the security of key areas.

[0098] The present application also provides an electronic device, such as Figure 8 As shown, Figure 8 The electronic device 800 shown includes: a processor 801 and a memory 803. The processor 801 and the memory 803 are connected, such as through a bus 802. Optionally, the electronic device 800 may also include a transceiver 804. It should be noted that in actual applications, the transceiver 804 is not limited to one, and the structure of the electronic device 800 does not constitute a limitation on the embodiments of the present application.

[0099] The processor 801 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor 801 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0100] The bus 802 may include a path to transmit information between the above components. The bus 802 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 802 may be divided into an address bus, a data bus, etc. For ease of representation, Figure 8 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0101] The memory 803 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0102] The memory 803 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 801. The processor 801 is used to execute the application code stored in the memory 803 to implement the content shown in the above method embodiment.

[0103] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, notebook computers, PDAs (personal digital assistants), PADs (tablet computers), etc., and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server terminal, etc. Figure 8 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0104] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed in a computer, the computer is caused to execute the campus personnel passage management method provided in the above embodiment.

[0105] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the instructions of the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise clearly stated in this document, the execution of these steps is not strictly limited in order and can be performed in other orders.

[0106] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for managing the passage of personnel in a park, characterized in that: The method comprises: Monitor the target flow of people at the target entrances and exits of the park; When the target flow of people is greater than a preset warning flow threshold, first video information collected by a video acquisition device set at an associated position of the target entrance and exit is obtained, and the distance between the associated position and the target entrance and exit is less than a preset distance threshold; Determine the number of people gathered at the associated location based on the first video information; The preset traffic speed is modified based on the target flow of people and the number of people gathered to obtain the expected traffic speed; Passing prompt information is generated based on the expected passing speed.

2. The method according to claim 1, characterized in that The associated positions include at least two, and the preset traffic speed is corrected based on the target flow of people and the number of people gathered to obtain the expected traffic speed, including: The sum of the number of people gathered at each associated location is determined as the total number of people gathered; The preset traffic speed is adjusted based on the target flow rate and the total number of people gathered to obtain a reference traffic speed; for each associated position, the reference traffic speed is corrected based on the proportion of the number of people gathered at the associated position to the total number of people gathered to obtain an expected traffic speed corresponding to the associated position.

3. The method according to claim 2, characterized in that The reference speed is corrected based on the proportion of the number of people gathered at the associated position to the total number of people gathered to obtain the expected speed corresponding to the associated position, including: determining a correction parameter corresponding to the associated position based on a ratio of the distance from the associated position to the target entrance and exit to the preset distance threshold; The reference traffic speed is corrected based on the correction parameter corresponding to the associated position and the proportion of the number of people gathered at the associated position to the total number of people gathered to obtain the expected traffic speed corresponding to the associated position.

4. The method according to claim 3, characterized in that The expected speed is calculated by the following formula: Among them, v i is the expected speed corresponding to the i-th associated position; v0 is the preset speed; k1 and k2 are proportional coefficients, and both k1 and k2 are less than 1; f is the target flow rate; F MAX is the maximum allowed flow of people at the target entrance and exit; i is the number of people gathered at the i-th associated position; p SUM is the total number of people gathered, P MAX is the sum of the maximum number of people allowed to be carried at each associated location; d i is the distance from the i-th associated position to the target entrance and exit; D MAX is the preset distance threshold.

5. The method according to claim 1, characterized in that Before the preset traffic speed is corrected based on the target flow of people and the number of people gathered to obtain the expected traffic speed, the method further includes: Acquire second video information collected by a video collection device provided at the target entrance and exit; determining the congestion level of the target entrance and exit based on the second video information; The step of correcting the preset traffic speed based on the target flow of people and the number of people gathered to obtain the expected traffic speed includes: The preset traffic speed is modified based on the congestion level, the target flow of people and the number of people gathered to obtain the expected traffic speed.

6. The method according to claim 1, characterized in that The generating of the traffic prompt information based on the expected traffic speed includes: Determine whether the expected passing speed is less than a historical passing speed, where the historical passing speed is an expected passing speed determined historically or an actual passing speed in history; In the case where the expected passing speed is less than the historical passing speed, determining whether a decreasing speed of the expected passing speed is greater than a preset speed threshold; When the decrease speed of the expected traffic speed is greater than the preset speed threshold, congestion prompt information is generated.

7. The method according to claim 1, characterized in that In the case where the target flow rate is greater than a preset warning flow rate threshold, the method further includes: Acquire second video information collected by a video acquisition device provided at the target entrance and exit; Performing face extraction on the second video information to obtain target face information; For each of the target face information, matching the target face information with the first face information in the first face database; When the first facial information corresponding to the target facial information is matched, a first alarm prompt message is generated and sent to the park administrator.

8. The method according to claim 7, characterized in that After extracting the face from the second video information to obtain the target face information, the method further includes: In the case where the target entrance and exit is an entrance and exit of a key area, for each target facial information, matching the target facial information with second facial information in a second facial database; If the second facial information corresponding to the target facial information is not matched, a second alarm prompt message is generated and sent to the administrator of the key area.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the campus personnel passage management method described in any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the park personnel passage management method described in any one of claims 1 to 8.

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