CN112017749B - Intelligent runway system for residential communities - Google Patents

Intelligent runway system for residential communities Download PDF

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CN112017749B
CN112017749B CN202010885991.1A CN202010885991A CN112017749B CN 112017749 B CN112017749 B CN 112017749B CN 202010885991 A CN202010885991 A CN 202010885991A CN 112017749 B CN112017749 B CN 112017749B
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information
runway
data
motion
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CN112017749A (en
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石江峰
常文哲
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Mcc Real Estate Group Co ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/53Recognition of crowd images, e.g. recognition of crowd congestion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • G06V40/23Recognition of whole body movements, e.g. for sport training
    • G06V40/25Recognition of walking or running movements, e.g. gait recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/178Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition

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  • Theoretical Computer Science (AREA)
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  • Human Computer Interaction (AREA)
  • General Health & Medical Sciences (AREA)
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  • Computer Vision & Pattern Recognition (AREA)
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  • Social Psychology (AREA)
  • Primary Health Care (AREA)
  • Medical Informatics (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
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Abstract

A residential community intelligent runway system is used for realizing management of sports places, identifying and grouping the number of people in the sports places, and improving the accuracy of prediction of the number of people in the sports places in a runway according to active grouping of the sports people.

Description

Intelligent runway system for residential communities
Technical Field
The invention relates to the field of Internet of things, in particular to a residential community intelligent runway system and a using method thereof.
Background
Currently, more and more users begin to pay attention to and maintain physical health by means of fitness management or the like. The body-building management mode may include: exercise, healthy diet, healthy work and rest, etc. However, not every user has a dedicated fitness management coach to conduct fitness management guidelines. With the perfection of urban facilities, running is taken as a sports mode with less investment and great effect, and is increasingly popular with the general public.
The comprehensive application of the urban expansion and comprehensive body-building sports and the sports fields of colleges and universities makes more and more people tend to go to the fixed professional runway for sports. People who pay attention to sports such as weight reduction are faced with the persistence of sports, the ability to stay on sports, and the requirement for good sports experience in sports places is increasing. More and more runners can compare the attention of environments such as the number of people in sports places, work and life are busy at ordinary times, and if runway conditions cannot be predicted in advance, time is wasted due to the number of people in the runway, maintenance and the like. The existing runway data identification is aimed at individuals, does not pay attention to group and dynamic identification, exists in a static process, has low utilization rate of the runway, and can be used for running people at the same time, but can be used for realizing less sports injury and the like in the running process, so that the demand of knowing the running expertise is increased, the running period, the running speed, the energy consumption, the running is physical health condition and the like; it is necessary to know in more detail whether the running posture itself is correct, and an incorrect running posture may affect the knee, cardiopulmonary function, etc., and cannot achieve the exercise effect. In the prior art, systems and products such as millet and other companies are only used for sending heart rate and other reminders through a bracelet or a smart watch and the like, so that the simple exercise parameter reminding can not meet the needs of an athlete, meanwhile, the bracelet and other users are required to check repeatedly at low head in the running process, the continuity of the athlete is not facilitated, and the breathing frequency of the user is easily disturbed. There is an urgent need in the market for a system to manage sports places, better match the needs of users under the condition of reducing sports injuries, improve sports efficiency, increase the interests of users in sports fields, and thus improve the utilization rate of sports fields.
Disclosure of Invention
In order to solve at least one of the technical problems, the invention provides a residential community intelligent runway system. The system comprises a server, a user identification device, a user state display device and a motion monitoring device, wherein the user identification device, the motion monitoring device and the user state display device are respectively connected with the server;
The user identification device is used for acquiring user identification information, wherein the user identification information comprises the steps of acquiring facial feature data of a user to determine the age and sex of the user, and acquiring body morphological feature data of the user to determine the height, weight and sex of the user;
The exercise monitoring device is used for identifying the identity information of the runner to obtain corresponding user identification information and collecting real-time exercise data, wherein the real-time exercise data comprises front face posture data, back face posture data, side face posture data and local posture data of at least one part, and the exercise speed and time; comparing the motion data of the identifier with standard data stored in a server, and transmitting corresponding standard posture data to a user state display device;
the user state display device is arranged in a region which can be seen by the user in a normal motion state and displays the motion state information of the user in the runway region;
The server is used for storing real-time motion state data and standard motion data information of the user; and generating a visual movement plan report for the user according to the requirements of the user side.
Further, the user identification device extracts characteristics of the user according to the user real-time motion state data stored in the server to obtain motion characteristic preference data of the user, wherein the motion characteristic preference data comprises motion duration and motion rate of the user, and the user is grouped according to the duration of the user adjacent state and the motion state parameters of the adjacent user when the motion monitoring device monitors the non-motion state to obtain grouping information of the user.
Further, according to grouping information of users, when the user terminal initiates to check the number of people in the runway, the server groups the obtained users according to the user identification device and the motion monitoring device, and gives out the forecast information of the number of people in the runway when the users arrive at the runway according to the distance between the position of the user terminal initiating to check and the runway, and the number of people information is displayed according to different time intervals.
Further, the grouping information of the users is obtained by the server according to the historical stored user motion data of the users and the duration of the adjacent state of the users in the athletic field, which is monitored by the motion monitoring device, whether the users have a group relationship or not is judged, and different users are divided into groups so as to judge the number of people leaving the runway.
The method further comprises the step that the server performs gridding on the periphery of the runway to obtain the number of the user ends entering the preset area, and the number of the users of the runway is predicted by combining historical motion data information and probability distribution information.
Preferably, the user state display device is a large display screen, the information of the users on the runway is displayed on the display screen, and the information ordering of the users is arranged in order of the quantity of motion; the large screen displays the difference of the motion state of the user through the motion monitoring data so as to send prompt information, wherein the prompt information prompts in a voice broadcasting mode or a mode matched with the capability information of the portable terminal of the user.
Preferably, the user display of the large screen may be displayed by a priority of the user terminal, the priority being based on a user priority stored in the server.
Preferably, when the user identification device performs grouping, users with motion state parameters matched with preset running behavior characteristics exist among the users, at least one user with motion state matched with the preset running behavior characteristics is judged to exist in the running group, and whether the users are the same group of users is judged according to the overlapping degree of the running record motion time period of the users.
Preferably, the movement ending time of the user group takes the longest time of the group users as ending time, and reminds the terminal user of the preset time content and the number of the movement people existing on the runway.
Preferably, the user state display device may display the difference between the user state display device and the standard matching gesture according to the trigger of the user terminal, and adjust the running gesture of the user through the large screen display state, where the matching of the standard gesture at least includes parameters: the triggering of the user terminal is determined according to the priority of the user terminal.
According to the scheme, the number of people in the sports field is identified and grouped, the accuracy of predicting the number of people in the sports field in a preset time period is improved according to the active grouping of the sports personnel, meanwhile, the monitoring device is used for acquiring the sports data of the user end in a communication mode of connecting the master node and the slave node in series, and the gesture of the user is reminded in real time or afterwards according to the standard data stored in the server end and the acquired sports data of the user end, so that the sports injury is effectively reduced, the sports efficiency is improved, the interest of the user on the sports field is increased, and the utilization rate of the sports field is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an intelligent runway system.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the system of the intelligent runway for the intelligent residential community comprises a server, a user identification device, a user state display device and a motion monitoring device, wherein the motion monitoring device, the user identification device and the user state display device are respectively connected with the server;
The user identification device is used for acquiring the identity identification information of the user, wherein the user identification information comprises the steps of acquiring facial feature data of the user, determining the age and sex of the user, and determining the height, weight and sex of the user by acquiring body morphological feature data of the user.
Obviously, when acquiring personal data, the data input by the user can be acquired; or can be transmitted in association with the user equipment device via at least one of the user terminal devices via the wireless connection; the user recognition device may capture image data including the user via the camera, and determine personal data of the user based on the image data. After the camera shoots the image data of the user, the age and the sex of the user can be determined by acquiring facial feature data of the user, and the height, the weight, the sex and the like of the user can be determined by acquiring body morphological feature data of the user.
The user identification device can be installed at the entrance of a runway, the identity can be identified by face identification when a user enters the runway, and a resident needs to register and link with own mobile phone APP, so that the owner of the community can enter, and outsiders can give an alarm. It is obvious that the user device can be not only a mobile phone but also a device such as a bracelet, a bracelet and the like with a GPS positioning function and a display screen, wherein different vibration and booming warnings exist on the display screen, and meanwhile, information input can be executed for adjusting, setting and inputting priority signals of a user on the display screen.
The exercise monitoring device is used for identifying the identity information of the runner, acquiring corresponding user identification information and acquiring real-time exercise data, wherein the real-time exercise data comprises front face posture data, back face posture data, side face posture data and local posture data of at least one part, and the running speed and running time; comparing the motion data of the identifier with standard data stored in a server, and transmitting corresponding standard posture data to a user display device;
The motion detection device can be one or more, the motion monitoring device can directly identify the running quantity, namely a motion image identification technology can be directly adopted to monitor and count the number of people in the runway, the motion monitoring device can be set in a master-slave node mode, the master node and the slave nodes control the data of the slave nodes and execute the forwarding of the data to a server, and the number of people in the runway can be counted, wherein the data are uploaded to a cloud or the server; the user can check the number of personnel on the current runway through the user terminal, namely the mobile phone client; the exercise detection device can also calculate running time of each owner, and the owner can check running records of the owner through the user end and customize running plans of the owner;
the exercise monitoring device can recognize the identity information of the runner, the exercise data of the runner comprise body temperature changes, the running postures of the runner are synthesized according to different exercise data, the running postures of the runner are personally conducted through the integrated die, the running postures of the runner are uploaded to the cloud end or the server, the personally conducted running postures can be compared with standard postures, corresponding suggestions are given, the suggestions can be communicated with a device at a user side in a default mode in real time, different warning signals can be adopted to correspond to different posture reminders, such as continuous booming is excessive bending, indirect booming is too fast in heart rate, or swing arm actions are irregular. And the user can also inquire afterwards or in the event when the user has an inquiry requirement. When the user side needs to inquire, the user side can execute the input of signals and display the signals on the user state display device in real time, so that the user can correct the actions and the states of the user in time when running, and the body building safety of the user is ensured.
The motion monitoring device can perform communication with the user terminal according to a plurality of motion detection devices arranged on the master node and the slave node, and meanwhile, the obtained image information corresponds to the registered identifications of different user terminals, and the motion detection device can recognize the motion executed by the user terminal according to the standard data information of different motion types stored in the server and control different posture. The master node monitors and dispatches all the slave nodes, so that the use efficiency of the motion detection device is improved, and different morphological data sampling points can be obtained more.
The motion monitoring device is set to a mode of master-slave node transmission, the master-slave nodes are connected in series, a Bluetooth transmission protocol is used, data information is sequentially transmitted downwards from one stage to one stage through the master node until the last motion monitoring device receives data, and the data are sequentially extracted from the issued transmission data frames by all nodes in each time period. The control instructions are also transmitted and controlled successively, so that the transmission setting between the motion monitoring devices is simplified, and the transmission efficiency of the control instructions is improved.
The user state display device is arranged in a visible area of the normal motion state of the user, and is used for displaying the information of the user in the motion state of the user when the user needs to be displayed in the runway area; the user state display device can be a large display screen, information of runway users is displayed on the display screen, and information ordering of the users is arranged in order of motion quantity. The large screen displays the difference of the motion states of the users through the motion monitoring data and gives prompt to the users, and the prompt information is matched with the terminal carried by the users in a voice broadcasting mode. The user display of the large screen may be displayed by a priority of the user terminal, the priority being based on a stored user priority in the server.
The user state display device can display the difference between the user state display device and the standard matching gesture according to the trigger of the user terminal, so that the running gesture of the user can be adjusted through the large screen display state, and the matching of the standard gesture at least comprises the parameters: the trigger of the user terminal is determined according to the priority of the user.
The user state display device can also display grouping information of the user according to the motion monitoring device, wherein the grouping information can be an age group or a motion type, and the grouping information is divided into different groups for motion data display. For example, the elderly, middle-aged, young, and children may be shown with exercise information, and information from different exercise groups, such as running, walking, etc.
The server is used for storing real-time motion state information and standard motion data information of the user.
And extracting the characteristics of the user from the user real-time motion state data stored in the server to obtain the motion characteristic preference data of the user, wherein the motion characteristic preference data comprises the motion duration and the motion rate of the user, and grouping the users according to the duration of the user adjacent state and the motion state parameters of the adjacent users when the motion monitoring device monitors the non-motion state.
According to grouping information of users, when the user end starts to view the athletic people number data of the runway, the server gives out people number prediction information in the runway system when the users arrive at the runway according to the grouping of the users obtained by the user identification device and the athletic monitoring device and the time from the starting point of the user end to the runway. The prediction information can be displayed in a time-sharing manner, for example, 5 minutes are taken as an area, the number of people after 10 minutes and the number of people after 15 minutes, and a user can conveniently select proper time and a vehicle to arrive at a runway through a regional display manner.
Aiming at grouping information of users, a server judges whether friends are established among the users according to user real-time data information stored in the user history and the adjacent state of the users in the athletic field monitored by a motion monitoring device, when the number of the runway is judged, the number of the users leaving the runway is judged according to the grouping judgment of different users, a motion detection device can judge whether the friends are according to the talking time between different users, the duration of the adjacent state of the users in a non-motion state and/or the motion state parameters of the adjacent users, and obviously, when the condition that 3-5 persons are in a friend group relationship on the scene is judged, the motion data of the departure can be weighted instead of adopting a single number of people. And weighting according to the probability of simultaneous departure to obtain the predicted number of persons leaving the field, so as to provide accurate and reliable information for other user terminals during inquiry, wherein the probability information can be the obtained maximum likelihood probability value or the distribution of the maximum likelihood probability according to the selection of historical data. And the movement ending time of the user group takes the longest time of the group users as ending time, and reminds the terminal user of the preset time content and the number of the movement people existing on the runway.
When the user group information is grouped, users with motion state parameters matched with preset running behavior characteristics exist among the users, at least one user with motion state matched with the preset running behavior characteristics is judged to exist in the running group, and whether the users are the same group of users or not is judged according to the overlapping degree of the running record motion time period of the users.
In the system, the motion monitoring device or the server can gridde the periphery of the runway to obtain the number of user devices entering a preset area, and the number of users of the runway in a certain time is predicted by combining motion history data information.
The server can directly calculate the motion speed and motion distribution speed of the running user according to the GPS data periodically reported by the terminal equipment with the GPS positioning function, provide different motion trail graphs for each user, and generate graphs and send the graphs to the user terminal device. To allow the user to view various information and statistics about running.
The motion monitoring device can collect information of the user according to information interaction with the user side device so as to transmit the information to the server side, and the server can provide displayable distance marks, speed marks and altitude marks for the user to mark the fastest and slowest speed, the highest and lowest heart rate, the highest and lowest altitude and the like. Other visual elements of color or path may be used to indicate various types of athletic information, including speed, heart rate, type of music played, temperature (ambient or body temperature), etc. Providing rich data support for the user, thereby providing the user with proper exercise reports and matching exercise information according to the standard database in the server.
Based on the examples described above, in one embodiment there is also provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of the embodiments described above when the program is executed.
Those skilled in the art will appreciate that implementing all or part of the above-described embodiments of the method may be implemented by a computer program for instructing relevant hardware, where the program may be stored on a non-volatile computer readable storage medium, and in an embodiment of the present invention, the program may be stored on a storage medium of a computer system and executed by at least one processor in the computer system to implement the method including the embodiments of the video playing method as described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a random-access memory (Random Access Memory, RAM), or the like.
Accordingly, there is also provided a storage medium having stored thereon a computer program, wherein the program when executed by a processor implements any of the methods of the embodiments described above.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.

Claims (5)

1. A residential community intelligent runway system is characterized in that: the system comprises a server, a user identification device, a user state display device and a motion monitoring device, wherein the user identification device, the motion monitoring device and the user state display device are respectively connected with the server;
The user identification device is used for acquiring user identification information, wherein the acquisition of the user identification information comprises the steps of determining the age and the sex of a user by acquiring facial feature data of the user and determining the height, the weight and the sex of the user by acquiring body morphological feature data of the user;
The exercise monitoring device is used for acquiring corresponding user identification information according to the identity information of the runner and acquiring real-time exercise data, wherein the real-time exercise data comprises front face posture data, back face posture data, side face posture data, local posture data of at least one part and exercise speed and time; comparing the motion data of the identified user with the standard data stored in the server, and transmitting the corresponding standard posture data to the user state display device;
the user state display device is arranged in a region which can be seen by the user in a normal motion state and displays the motion state information of the user in the runway region;
The server is used for storing real-time motion state data and standard motion data information of the user; generating a visual movement plan report for a user according to the requirements of the user side;
The server groups the users according to the motion data information stored in the user history and the conversation time between the users in the athletic field and monitored by the motion monitoring device, so as to obtain grouping information of the users, and when judging a friend group relationship, the server weights and obtains the predicted number of persons leaving the runway according to probability information of simultaneous persons leaving the runway so as to judge the number of persons leaving the runway, wherein the probability information is a maximum likelihood probability value obtained according to the history data; according to grouping information of users, when the user terminal initiates to check the number of people in the runway, the server gives out the prediction information of the number of people in the runway when the user reaches the runway according to the grouping of the users obtained by the user identification device and the motion monitoring device and combining the distance between the position of the user terminal initiating to check and the runway, and the prediction information of the number of people is displayed according to different time intervals.
2. The residential community intelligent runway system of claim 1, wherein: the method further comprises the step that the server performs gridding on the periphery of the runway to obtain the number of the user ends entering the preset area, and the number of the users of the runway is predicted by combining historical motion data information and probability information.
3. The residential community intelligent runway system of claim 2, further characterized by: the user state display device is a display screen, the information of the users on the runway is displayed on the display screen, and the information ordering of the users is arranged in order of the quantity of motion; the display screen displays the difference of the motion states of the users through the motion monitoring data and sends prompt information, and the prompt information prompts in a voice broadcasting mode or a mode matched with the capability information of the portable terminal of the users.
4. The residential community intelligent runway system of claim 3, further characterized by: the display screen displays the user according to the priority of the user side, and the priority is based on the priority of the user stored in the server.
5. The intelligent runway system according to any of claims 1 to 4, wherein the user status display device displays the difference between the user status and the standard matching gesture according to the trigger of the user, and adjusts the running gesture of the user by displaying the status on the display screen, and the matching of the standard gesture at least comprises the parameters: actively moving the articulation degree, the track control force and the movement efficiency; the triggering of the user terminal is determined according to the priority of the user terminal.
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Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113656462B (en) * 2021-08-18 2022-05-17 北京奥康达体育产业股份有限公司 Wisdom sports park data analysis system based on thing networking
CN116805432B (en) * 2023-06-27 2024-04-26 北京奥康达体育科技有限公司 Noninductive wisdom footpath running system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105447458A (en) * 2015-11-17 2016-03-30 深圳市商汤科技有限公司 Large scale crowd video analysis system and method thereof
CN105512772A (en) * 2015-12-22 2016-04-20 重庆邮电大学 Dynamic people flow early warning method based on mobile network signaling data
CN108877002A (en) * 2018-06-15 2018-11-23 北京蜂盒科技有限公司 Personal identification method, apparatus, storage medium and access control equipment
CN109147905A (en) * 2018-10-29 2019-01-04 天津市汇诚智慧体育科技有限公司 A kind of full crowd's intelligence footpath system based on big data
KR20200011103A (en) * 2018-07-24 2020-02-03 주식회사 에이알브릿지 A running competition method using elements generated according to status information of terminals and terminals and systems therefor

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105447458A (en) * 2015-11-17 2016-03-30 深圳市商汤科技有限公司 Large scale crowd video analysis system and method thereof
CN105512772A (en) * 2015-12-22 2016-04-20 重庆邮电大学 Dynamic people flow early warning method based on mobile network signaling data
CN108877002A (en) * 2018-06-15 2018-11-23 北京蜂盒科技有限公司 Personal identification method, apparatus, storage medium and access control equipment
KR20200011103A (en) * 2018-07-24 2020-02-03 주식회사 에이알브릿지 A running competition method using elements generated according to status information of terminals and terminals and systems therefor
CN109147905A (en) * 2018-10-29 2019-01-04 天津市汇诚智慧体育科技有限公司 A kind of full crowd's intelligence footpath system based on big data

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