CN101587606A - Method and system for detecting staff flow in exhibition venue - Google Patents

Method and system for detecting staff flow in exhibition venue Download PDF

Info

Publication number
CN101587606A
CN101587606A CNA200810037784XA CN200810037784A CN101587606A CN 101587606 A CN101587606 A CN 101587606A CN A200810037784X A CNA200810037784X A CN A200810037784XA CN 200810037784 A CN200810037784 A CN 200810037784A CN 101587606 A CN101587606 A CN 101587606A
Authority
CN
China
Prior art keywords
personnel
subregion
venue
import
module
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CNA200810037784XA
Other languages
Chinese (zh)
Other versions
CN101587606B (en
Inventor
林卫慈
倪兴华
许冬青
任晓
韩吉来
应丽华
贺凌云
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xinlian-Weixun Science & Technology Development Co Ltd Shanghai
Original Assignee
Xinlian-Weixun Science & Technology Development Co Ltd Shanghai
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xinlian-Weixun Science & Technology Development Co Ltd Shanghai filed Critical Xinlian-Weixun Science & Technology Development Co Ltd Shanghai
Priority to CN200810037784XA priority Critical patent/CN101587606B/en
Publication of CN101587606A publication Critical patent/CN101587606A/en
Application granted granted Critical
Publication of CN101587606B publication Critical patent/CN101587606B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Image Analysis (AREA)

Abstract

The invention provides a method and a system for detecting staff flow in an exhibition venue. An ID identification device is installed at the entrance of the exhibition venue and used for counting the population stayed in the exhibition venue; cameras are installed at the entrance of subareas of the exhibition venue, the picture of the entrance of each subarea is collected in real time, the statistics is made to the population entering or leaving in the virtual boundary in the picture within the unit time, the population stayed in each subarea at the moment is calculated, the comparative result of the occupant density of each subarea and the preset threshold value of the occupant density of the subarea is judged, the staff flow condition of the whole exhibition venue can be monitored at any moment through a data processing module and an ethernet switching module terminal computer, and if the occupant density stayed in the monitoring subarea at the moment is higher than the preset threshold value of the occupant density of the subarea, the terminal computer is used for controlling a warning lamp corresponding to the occupant density of the subarea to warn so as to indicate the staff to arrive at the scene for keeping order.

Description

A kind of Venue personnel flow rate testing methods and system
Technical field
The present invention relates to field of video monitoring, relate in particular to a kind of Venue personnel crowding detection method and system.
Background technology
Along with expanding economy, the cultural economy before the various countries exchanges more and more frequent.Usually promote that with the exhibition form interchange of particular culture economic field between the various countries is comparatively common, for example large-scale like this exhibition of World Expo.For the detection of the order ordered pair Venue personnel flow of keeping Venue just seems particularly important, when subregion crowded appears in Venue, can in time dredge, judge field and the culture that paid close attention to by people during the exhibition according to each regional flow of Venue simultaneously.Number inventory in tradition personnel flow detection only can realize more among a small circle, its ultimate principle is real-time target detection, comprises shape and color distribution to clarification of objective extraction, target.Because human body is non-rigid, external barrier and the noise of self bring influence can for unique model of setting up.For reducing the influence that external interference is brought, need restrictively the camera observation point to be placed on the monitoring place directly over, to realize the not overlapping of testing staff, reduce the area of the shared image of personnel as far as possible.So just can't realize that integral monitoring is carried out in the flow of personnel in the big zone analyzes and add up.
Summary of the invention
The object of the present invention is to provide a kind of Venue personnel flow rate testing methods and system, to solve the problem that the little and testing result in prosecution zone that traditional flow of personnel detection method exists is subject to external interference.
For achieving the above object, a kind of Venue personnel flow rate testing methods of the present invention, the ID card identification apparatus is equipped with in the import and export of Venue.Venue comprises the plurality of sub zone, and the detection method of Venue personnel flow may further comprise the steps: step 1: store the area of this Venue all subregion, set the density of personnel threshold value of all subregion; Step 2: personnel hold the import and export turnover from this Venue of ID card that this ID card device can discern; Step 3: current turnover Venue personnel are added up drawing the current total number of persons who rests on Venue; Step 4: rig camera is installed in the import and export at the subregion of described Venue, and statistics enters the number of all subregion and the number of going out of all subregion; Step 5: draw current all subregion density of personnel value according to all subregion area in all subregion number of step 4 statistics and the step 1; Step 6: the density of personnel threshold value of the subregion that area people density value that step 5 is drawn and step 1 are set compares, if stop to enter of this subregion personnel, if keep entering of this subregion personnel less than the threshold value density of personnel more than or equal to the threshold value density of personnel.If subregion is imported and exported and to be had only one, the personnel that then enter this subregion enter from a side of importing and exporting, and from then on personnel import and export opposite side and go out in this subregion.Comprise import and outlet if subregion is imported and exported, the personnel that enter this subregion enter from import, and personnel go out from outlet in this subregion.Wherein, the number of going out that step 4 statistics enters the number of all subregion and all subregion is by in the import and export mouth picture of taking at video camera virtual boundary being set, and digit penetrates described virtual boundary the time or passes the personnel of described virtual boundary.Digit penetrates described virtual boundary the time or passes described virtual boundary personnel and adopts the motion target tracking algorithm that the turnover personnel are added up.
Based on the system of the Venue personnel flow detection of above detection method, it comprises: memory module is used to store described Venue subregion area and the corresponding subregion density of personnel threshold value of setting; The dynamic memory module is used for storing personnel's number and each sub regions turnover personnel number of current this Venue of turnover; The camera acquisition module is gathered when the import and export picture that advances into each subregion; Data processing module is used to analyze the import and export picture of camera acquisition, and the personnel that the enter number of statistics and the personnel's number of going out are stored in the dynamic memory module; Ethernet switching module and terminal computer monitoring module, this ethernet switching module are used for that described data processing module is handled the back data and send the terminal computer monitoring module to.This memory module is connected with processing module, and the memory module data are sent to data processing module; Camara module is connected with data processing module, and dynamic memory module data processing module connection is therewith carried out mutual data transmission; The data processing module output data is connected with the terminal computer monitoring module by ethernet switching module.Wherein, data processing module comprises video frequency collection card, and camara module is connected with described data processing module by video frequency collection card.The terminal monitoring computing machine is connected with described subregion density of personnel alarm lamp.
Compare with traditional personnel's flow rate testing methods, the detection method of Venue personnel flow of the present invention and detection system are in conjunction with the turnover of ID recognition device standard Venue, people to the turnover Venue adds up simultaneously, the import and export of the subregion of each Venue are adopted camera supervised, density of personnel that like this can whole each sub regions of Venue of macroscopic view monitoring.The statistics that subregion import and export personnel are passed in and out number adopts that the virtual boundary personnel penetrate and pass the number statistics in the statistics gatherer picture, and statistics is not subjected to external interference.Therefore, the detection method of Venue personnel flow of the present invention and detection system can effectively solve the testing result that traditional detection exists and be subject to external interference and the limited problem of monitoring range.
Description of drawings
Below in conjunction with the drawings and specific embodiments Venue personnel flow rate testing methods of the present invention and system are done further to specifically describe in detail.
Fig. 1 is that Venue of the present invention exemplifies synoptic diagram.
Fig. 2 is a Venue personnel detection system structural representation of the present invention.
Embodiment
With Venue shown in Figure 1 is example, the import and export of Venue: the ID card identification apparatus is equipped with in import 10 and outlet 20.Venue comprises the plurality of sub zone, subregion 5, subregion 6, subregion 7 and subregion 8.The detection method of Venue personnel flow may further comprise the steps: step 1: store the area of this Venue all subregion, set the density of personnel threshold value of all subregion.The exhibition facility of being laid according to all subregion place can be determined different subregion density of personnel threshold values, can be provided with this subregion density of personnel threshold value less if the exhibition facility of some subregion display is more, can be provided with this subregion density of personnel threshold value bigger if the exhibition facility of some subregion display is less.Step 2: personnel hold the import and export turnover from this Venue of ID card that this ID card device can discern.All personnel that enter Venue need wear the ID card of crossing through the ID device authentication and just can enter, and enter Venue shown in Figure 1, enter from the import 10 that the ID card identification apparatus is housed, and are left by the outlet 20 that the ID card identification apparatus is housed.Step 3: current turnover Venue personnel are added up drawing the current total number of persons who rests on Venue.Land ID and outlet 20 identifications according to import 10 identification are nullified ID and can be added up personnel's number that rest on Venue this moment.Step 4: rig camera is installed in the import and export at the subregion of described Venue, and statistics enters the number of all subregion and the number of going out of all subregion.Density of personnel for ease of the monitoring all subregion, video camera is installed in import and export at each subregion, the for example import 10 of subregion 5 and outlet 21, the import and export 11 of subregion 6, the import and export 12 of subregion 7 and the import of subregion 13 and outlet 20 all need be installed video camera.If subregion is imported and exported and to be had only one, for example subregion 6 and subregion 7, the personnel that then enter this subregion enter from a side of importing and exporting, and from then on personnel import and export opposite side and go out in this subregion.If importing and exporting, subregion comprises import and outlet, for example subregion 5 and subregion 8, and the personnel that enter this subregion enter from import, and personnel go out from outlet in this subregion.The number of going out that step 4 statistics enters the number of all subregion and all subregion is by in the import and export mouth picture of taking at video camera virtual boundary being set, and digit penetrates described virtual boundary the time or passes the personnel of described virtual boundary.Digit penetrates described virtual boundary the time or passes described virtual boundary personnel and adopts the motion target tracking algorithm that the turnover personnel are added up.Step 5: draw current all subregion density of personnel value according to all subregion area in all subregion number of step 4 statistics and the step 1.Step 6: the density of personnel threshold value of the subregion that area people density value that step 5 is drawn and step 1 are set compares, if stop to enter of this subregion personnel, if keep entering of this subregion personnel less than the threshold value density of personnel more than or equal to the threshold value density of personnel.
System based on the Venue personnel flow detection of above detection method sees also Fig. 2, and it comprises: memory module is used to store described Venue subregion area and the corresponding subregion density of personnel threshold value of setting; The dynamic memory module is used to store personnel's number of current this Venue of turnover, and promptly land the ID number and nullify the ID number, and turnover personnel number in each sub regions; Camera acquisition module 1 is gathered when the import and export picture that advances into each subregion; Data processing module is used to analyze the import and export picture of camera acquisition, and the personnel that the enter number of statistics and the personnel's number of going out are stored in the dynamic memory module; Ethernet switching module and terminal computer monitoring module 3, this ethernet switching module are used for that described data processing module is handled the back data and send the terminal computer monitoring module to.This memory module is connected with processing module, and the memory module data are sent to data processing module; Camara module is connected with data processing module, and dynamic memory module data processing module connection is therewith carried out mutual data transmission; The data processing module output data is connected with the terminal computer monitoring module by ethernet switching module.Wherein, data processing module comprises video frequency collection card, and camara module is connected with described data processing module by video frequency collection card.The terminal monitoring computing machine can be monitored the personnel's of whole Venue flow situation in real time by data processing module and ethernet switching module, and is connected with corresponding to subregion density of personnel alarm lamp.If when the density of personnel that detects subregion 6 shown in Figure 1 surpassed subregion 6 setting density of personnel threshold values, the terminal monitoring computing machine can be controlled No. 6 density of personnel alarm lamps and report to the police, the indication staff keeps on-the-spot order to the warning subregion.
The detection method of Venue personnel flow of the present invention and detection system are in conjunction with the turnover of ID recognition device standard Venue, people to the turnover Venue adds up, the import and export of the subregion of each Venue are adopted camera supervised, density of personnel that like this can whole each sub regions of Venue of macroscopic view monitoring.The statistics that subregion import and export personnel are passed in and out number adopts that the virtual boundary personnel penetrate and pass the number statistics in the statistics gatherer picture, and statistics is not subjected to external interference.Therefore, the detection method of Venue personnel flow of the present invention and detection system can effectively solve the testing result that traditional detection exists and be subject to external interference and the limited problem of monitoring range.

Claims (8)

1, a kind of Venue personnel flow rate testing methods, the ID recognition device is equipped with in the import and export of described Venue; Described Venue comprises the plurality of sub zone, it is characterized in that, the detection method of described Venue personnel flow may further comprise the steps:
Step 1: store the area of described Venue all subregion, set the density of personnel threshold value of all subregion;
Step 2: described personnel hold the import and export turnover of the ID card of ID recognition device from described Venue;
Step 3: the described Venue personnel of current turnover are added up drawing the current total number of persons who rests on described Venue;
Step 4: rig camera is installed in the import and export at the subregion of described Venue, and statistics enters the number of all subregion and the number of going out of all subregion;
Step 5: draw current all subregion density of personnel value according to all subregion area in all subregion number of step 4 statistics and the step 1;
Step 6: the density of personnel threshold value of the subregion that area people density value that described step 5 is drawn and step 1 are set compares, if stop to enter of this subregion personnel, if keep entering of this subregion personnel less than the threshold value density of personnel more than or equal to the threshold value density of personnel.
2, Venue personnel flow rate testing methods according to claim 1, it is characterized in that, described subregion is imported and exported has only one, and the personnel that enter described subregion enter from a side of described import and export, and personnel go out from described import and export opposite side in the described subregion.
As Venue personnel flow rate testing methods as described in the claim 2, it is characterized in that 3, described subregion is imported and exported and comprised import and outlet, the personnel that enter described subregion enter from described import, and personnel go out from described outlet in the described subregion.
4, Venue personnel flow rate testing methods according to claim 1, it is characterized in that, the number of going out that described step 4 statistics enters the number of all subregion and all subregion is by in the import and export mouth picture of taking at video camera virtual boundary being set, and digit penetrates described virtual boundary the time or passes the personnel of described virtual boundary.
As Venue personnel flow rate testing methods as described in the claim 4, it is characterized in that 5, described digit penetrates described virtual boundary the time or passes described virtual boundary personnel and adopts the motion target tracking algorithm that the turnover personnel are added up.
6, a kind of system of the Venue personnel flow detection based on the described detection method of claim 1 is characterized in that it comprises: memory module is used to store described Venue subregion area and the corresponding subregion density of personnel threshold value of setting; The dynamic memory module is used for storing personnel and each sub regions turnover personnel number of current turnover Venue; The camera acquisition module is gathered when the import and export picture that advances into each subregion; Data processing module is used to analyze the import and export picture of camera acquisition, and the personnel that the enter number of statistics and the personnel's number of going out are stored in the dynamic memory module; Ethernet switching module and terminal computer monitoring module, described ethernet switching module are used for that described data processing module is handled the back data and send the terminal computer monitoring module to; Described memory module is connected with described processing module, and described memory module data are sent to data processing module; Described camara module is connected with described data processing module; Described dynamic memory module is connected with described data processing module carries out mutual data transmission; Described data processing module output data is connected with described terminal computer monitoring module by ethernet switching module.
7, the system of Venue personnel flow detection as claimed in claim 6 is characterized in that, described data processing module comprises video frequency collection card, and described camara module is connected with described data processing module by video frequency collection card.
8, the system of Venue personnel flow detection as claimed in claim 6 is characterized in that, described terminal monitoring computing machine is connected with described subregion density of personnel alarm lamp.
CN200810037784XA 2008-05-21 2008-05-21 Method and system for detecting staff flow in exhibition venue Active CN101587606B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN200810037784XA CN101587606B (en) 2008-05-21 2008-05-21 Method and system for detecting staff flow in exhibition venue

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN200810037784XA CN101587606B (en) 2008-05-21 2008-05-21 Method and system for detecting staff flow in exhibition venue

Publications (2)

Publication Number Publication Date
CN101587606A true CN101587606A (en) 2009-11-25
CN101587606B CN101587606B (en) 2012-05-30

Family

ID=41371841

Family Applications (1)

Application Number Title Priority Date Filing Date
CN200810037784XA Active CN101587606B (en) 2008-05-21 2008-05-21 Method and system for detecting staff flow in exhibition venue

Country Status (1)

Country Link
CN (1) CN101587606B (en)

Cited By (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101835032A (en) * 2010-04-27 2010-09-15 沈阳瑗玛信息技术有限公司 Multi-camera crowd-gathered message statistic device and method
GB2476500A (en) * 2009-12-24 2011-06-29 Infrared Integrated Syst Ltd System for monitoring the activity of people
CN102646296A (en) * 2012-02-20 2012-08-22 华焦宝 Method and system for counting people stream in visiting place
CN103593889A (en) * 2013-10-15 2014-02-19 健雄职业技术学院 Quantity and capacity control system of museum visitors based on RFID (Radio Frequency Identification)
CN103973472A (en) * 2013-01-31 2014-08-06 西门子公司 Method and device used for determining presence of personnel in building
CN104732697A (en) * 2015-04-19 2015-06-24 苏州神林堂中医药研究所 Internet of things and face recognition based safety monitoring system
CN104851151A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851154A (en) * 2014-11-24 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851155A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851150A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851152A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851160A (en) * 2014-11-24 2015-08-19 重庆市行安电子科技有限公司 Security identification monitoring system
CN104851156A (en) * 2014-11-24 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851153A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104899948A (en) * 2015-06-05 2015-09-09 北京京东尚科信息技术有限公司 Method and system for monitoring jam in closed space
CN105516652A (en) * 2015-11-23 2016-04-20 杨明 Intelligent LED street lamp
CN106303446A (en) * 2016-08-29 2017-01-04 河源市新天彩科技有限公司 A kind of embedded wireless net monitor terminal
CN106547227A (en) * 2016-10-25 2017-03-29 合肥东上多媒体科技有限公司 A kind of intelligent identifying system for museum
CN108375911A (en) * 2018-01-22 2018-08-07 珠海格力电器股份有限公司 Equipment control method and device, storage medium and equipment
CN109064590A (en) * 2018-03-20 2018-12-21 友达光电股份有限公司 Safety system linked with mobile device and safety control method thereof
CN110058196A (en) * 2019-05-21 2019-07-26 巴斯夫新材料有限公司 A kind of position monitoring system in chemical plant
CN110376915A (en) * 2019-08-10 2019-10-25 重庆励境展览展示有限公司 Intelligent comprehensive regulator control system
CN111582064A (en) * 2020-04-21 2020-08-25 力引万物(深圳)科技有限公司 Offline activity effect evaluation method and evaluation system thereof
CN111990282A (en) * 2020-07-06 2020-11-27 周爱丽 Real-time measuring platform and method for livestock distribution density
CN112418145A (en) * 2020-12-04 2021-02-26 南京岁卞智能设备有限公司 Intelligent guide system for large exhibition hall based on machine vision and big data analysis
CN113114750A (en) * 2021-04-06 2021-07-13 武汉奥果果网络科技有限公司 Multimedia digital exhibition hall intelligent regulation and control cloud platform based on big data and cloud computing
CN113587406A (en) * 2021-08-09 2021-11-02 珠海格力电器股份有限公司 Temperature control method, device and system, computer equipment and storage medium
CN115471978A (en) * 2022-08-18 2022-12-13 北京声智科技有限公司 Swimming place monitoring method and device

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2483766Y (en) * 2001-04-25 2002-03-27 张银和 Protocol doorbell and autorecording system for guests numbers
JP2004150645A (en) * 2002-10-28 2004-05-27 Nec Kyushu Ltd Management device and management method for entering/leaving clean room
CN1438609A (en) * 2003-03-14 2003-08-27 上海遥薇实业有限公司 Automatic passenger counting instument

Cited By (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2476500A (en) * 2009-12-24 2011-06-29 Infrared Integrated Syst Ltd System for monitoring the activity of people
GB2476500B (en) * 2009-12-24 2012-06-20 Infrared Integrated Syst Ltd Activity mapping system
US8731241B2 (en) 2009-12-24 2014-05-20 Infrared Integrated Systems Limited Activity mapping system
CN101835032A (en) * 2010-04-27 2010-09-15 沈阳瑗玛信息技术有限公司 Multi-camera crowd-gathered message statistic device and method
CN102646296A (en) * 2012-02-20 2012-08-22 华焦宝 Method and system for counting people stream in visiting place
CN103973472A (en) * 2013-01-31 2014-08-06 西门子公司 Method and device used for determining presence of personnel in building
CN103593889B (en) * 2013-10-15 2016-02-10 健雄职业技术学院 Based on museum visitor quantity and the capacity control system of RFID
CN103593889A (en) * 2013-10-15 2014-02-19 健雄职业技术学院 Quantity and capacity control system of museum visitors based on RFID (Radio Frequency Identification)
CN104851151A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851155A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851150A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851152A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851153A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851154A (en) * 2014-11-24 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104851160A (en) * 2014-11-24 2015-08-19 重庆市行安电子科技有限公司 Security identification monitoring system
CN104851156A (en) * 2014-11-24 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104732697A (en) * 2015-04-19 2015-06-24 苏州神林堂中医药研究所 Internet of things and face recognition based safety monitoring system
CN104899948A (en) * 2015-06-05 2015-09-09 北京京东尚科信息技术有限公司 Method and system for monitoring jam in closed space
CN105516652A (en) * 2015-11-23 2016-04-20 杨明 Intelligent LED street lamp
CN106303446A (en) * 2016-08-29 2017-01-04 河源市新天彩科技有限公司 A kind of embedded wireless net monitor terminal
CN106547227A (en) * 2016-10-25 2017-03-29 合肥东上多媒体科技有限公司 A kind of intelligent identifying system for museum
CN108375911A (en) * 2018-01-22 2018-08-07 珠海格力电器股份有限公司 Equipment control method and device, storage medium and equipment
CN109064590A (en) * 2018-03-20 2018-12-21 友达光电股份有限公司 Safety system linked with mobile device and safety control method thereof
CN110058196A (en) * 2019-05-21 2019-07-26 巴斯夫新材料有限公司 A kind of position monitoring system in chemical plant
CN110376915A (en) * 2019-08-10 2019-10-25 重庆励境展览展示有限公司 Intelligent comprehensive regulator control system
CN111582064A (en) * 2020-04-21 2020-08-25 力引万物(深圳)科技有限公司 Offline activity effect evaluation method and evaluation system thereof
CN111990282A (en) * 2020-07-06 2020-11-27 周爱丽 Real-time measuring platform and method for livestock distribution density
CN112418145A (en) * 2020-12-04 2021-02-26 南京岁卞智能设备有限公司 Intelligent guide system for large exhibition hall based on machine vision and big data analysis
CN112418145B (en) * 2020-12-04 2021-07-16 北京矩阵志诚科技有限公司 Intelligent guide system for large exhibition hall based on machine vision and big data analysis
CN113114750A (en) * 2021-04-06 2021-07-13 武汉奥果果网络科技有限公司 Multimedia digital exhibition hall intelligent regulation and control cloud platform based on big data and cloud computing
CN113114750B (en) * 2021-04-06 2021-11-09 若瑞(上海)文化科技有限公司 Multimedia digital exhibition hall intelligent regulation and control cloud platform based on big data and cloud computing
CN113587406A (en) * 2021-08-09 2021-11-02 珠海格力电器股份有限公司 Temperature control method, device and system, computer equipment and storage medium
CN115471978A (en) * 2022-08-18 2022-12-13 北京声智科技有限公司 Swimming place monitoring method and device

Also Published As

Publication number Publication date
CN101587606B (en) 2012-05-30

Similar Documents

Publication Publication Date Title
CN101587606B (en) Method and system for detecting staff flow in exhibition venue
CN201467360U (en) Detection system for exhibitting field personnel flow rate
CN103108159B (en) Electric power intelligent video analyzing and monitoring system and method
CN104303193B (en) Target classification based on cluster
CN101577812B (en) Method and system for post monitoring
CN105426820B (en) More people's anomaly detection methods based on safety monitoring video data
CN107480658A (en) Face identification device and method based on multi-angle video
CN101572803B (en) Customizable automatic tracking system based on video monitoring
CN108307146A (en) A kind of ultra-high-tension power transmission line Security Vulnerability Detecting System and method
CN111242025B (en) Real-time action monitoring method based on YOLO
CN102306304A (en) Face occluder identification method and device
CN106355162A (en) Method for detecting intrusion on basis of video monitoring
CN103927519A (en) Real-time face detection and filtration method
CN108205896A (en) A kind of Campus transport safety intelligence monitoring and controlling manages system
CN111091098A (en) Training method and detection method of detection model and related device
CN202771441U (en) Face recognition monitoring system
WO2018176162A1 (en) Unusual motion detection method and system
CN104159080B (en) Aerial cableway falling-off detection system based on Hough transformation, and aerial cableway falling-off detection method based on Hough transformation
CN107516076A (en) Portrait identification method and device
CN202856897U (en) Intelligent video monitoring system based on face recognition
CN106851229A (en) A kind of method and system of the security protection intelligent decision based on image recognition
CN103281518A (en) Multifunctional networking all-weather intelligent video monitoring system
CN107705425A (en) A kind of automatic vending machine warning system of anti-violence damage and technology unlocking
CN107064159A (en) A kind of apparatus and system that growth tendency is judged according to the detection of plant yellow leaf
CN102436578A (en) Formation method for dog face characteristic detector as well as dog face detection method and device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant