CN113645180A - People flow statistical analysis system and method thereof - Google Patents
People flow statistical analysis system and method thereof Download PDFInfo
- Publication number
- CN113645180A CN113645180A CN202110626564.6A CN202110626564A CN113645180A CN 113645180 A CN113645180 A CN 113645180A CN 202110626564 A CN202110626564 A CN 202110626564A CN 113645180 A CN113645180 A CN 113645180A
- Authority
- CN
- China
- Prior art keywords
- data
- alarm
- people
- analysis
- video picture
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 10
- 238000007619 statistical method Methods 0.000 title claims description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 39
- 238000007405 data analysis Methods 0.000 claims abstract description 33
- 238000001514 detection method Methods 0.000 claims abstract description 14
- 238000013500 data storage Methods 0.000 claims abstract description 5
- 230000007123 defense Effects 0.000 claims description 23
- 238000012544 monitoring process Methods 0.000 claims description 13
- 230000033001 locomotion Effects 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 5
- 230000002155 anti-virotic effect Effects 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000005336 cracking Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 239000011521 glass Substances 0.000 claims description 3
- 230000037308 hair color Effects 0.000 claims description 3
- 239000000779 smoke Substances 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 230000001815 facial effect Effects 0.000 claims 2
- 230000006870 function Effects 0.000 description 3
- 239000000284 extract Substances 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computing Systems (AREA)
- Multimedia (AREA)
- Business, Economics & Management (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Computer Security & Cryptography (AREA)
- General Engineering & Computer Science (AREA)
- Image Analysis (AREA)
- Alarm Systems (AREA)
Abstract
A people flow statistic analysis system and a method thereof are provided, wherein the system comprises a data acquisition system, a data analysis system and a data display system, the data acquisition system comprises an acquisition device and an analysis unit, people flow data and video picture data are acquired through the acquisition device, analysis and alarm are carried out on the people flow data through the analysis unit, alarm information and the video picture data are transmitted to the data analysis system, the data analysis system carries out data storage and identification analysis on the video picture data, and the video picture data and the alarm information which are subjected to identification analysis are transmitted to the data display system through a firewall to be visually displayed. The system can count and alarm the human flow, is convenient for the courtyard to timely shunt and evacuate personnel, can identify and analyze the personnel, realizes the detection and tracking of the controlled object, and further reduces the potential safety hazard in the hospital.
Description
Technical Field
The invention relates to the technical field of medical informatization, in particular to a system and a method for counting and analyzing people flow at an important bayonet in a medical scene
Background
At present, each large hospital or medical institution carries out physical examination on a large number of patients every day, and the flow of people in the hospital or medical institution is increasingly large, so that the situation of the burst of the flow of people often occurs, which not only increases the service pressure of the hospital and medical institution, but also has great potential safety hazard. The prior early warning and emergency measures for personnel in a flow area are completed manually, so that the accuracy of data cannot be guaranteed, intervention and emergency treatment cannot be performed at the first time, and the condition that the hospitalizing experience of a patient is affected due to crowded areas or overlong queuing time is easily caused. In addition, it is difficult to manually track the escape or hidden route and direction of a person or to troubleshoot a monitored object in view of excessive patient traffic in a hospital after a vicious event occurs in the hospital.
Therefore, in order to overcome the above drawbacks, a system and a method for counting, analyzing and identifying human flows and giving timely alarms are needed, which can perform intervention and emergency treatment in the first time when congestion occurs or people are tracked, and the like.
Disclosure of Invention
The invention aims to provide a people flow statistical analysis system and a method thereof, which can be used for counting and alarming people flow, are convenient for courtyards to shunt and evacuate people in time, can be used for identifying and analyzing the people, realize the detection and tracking of monitored objects and further reduce the potential safety hazard in hospitals.
In order to achieve the purpose, the invention adopts the following technical scheme:
a people flow statistics and analysis system comprises a data acquisition system, a data analysis system and a data display system, wherein the data acquisition system comprises an acquisition device and an analysis unit, people flow data and video picture data are acquired through the acquisition device, the people flow data are analyzed and alarmed through the analysis unit, alarm information and the video picture data are transmitted to the data analysis system, the data analysis system performs data storage and identification analysis on the video picture data, and the video picture data and the alarm information which are subjected to identification analysis are transmitted to the data display system through a firewall to be visually displayed;
correspondingly, the acquisition device comprises a plurality of AI cameras arranged in a pre-inspection area, a yard entrance and exit and a window;
correspondingly, the analysis unit comprises a statistic module and an alarm module, the statistic module comprises a flow density statistic module, a queuing time statistic module and a line passing statistic module, the flow density statistic module is used for monitoring the number of people in a specific area and comprises crowd density, a defense arrangement plan and a linkage strategy, the queuing time statistic module is used for monitoring the number of queuing people in the specific area and calculating the queuing time of the current team through single-person processing time, the queuing time comprises the queuing time, the defense arrangement plan and the linkage strategy, and the line passing statistic module is used for counting the number of people entering and leaving the area with the warning line and comprises the line passing statistic, the defense arrangement plan and the linkage strategy; the alarm unit comprises a number alarm module, a queuing alarm module and a line-passing alarm module, wherein the number alarm module is connected with the flow density statistical module, density alarm is carried out when the number of monitored people exceeds a set number threshold, the queuing alarm module is connected with the queuing time statistical module, the queuing alarm module carries out queuing alarm when the queuing time exceeds a preset alarm threshold, the line-passing alarm module is connected with the line-passing statistical module, and the line-passing alarm module carries out line-passing alarm when the number difference of people in and out exceeds the set alarm threshold;
correspondingly, the data analysis system comprises a storage unit, wherein the storage unit stores video picture data and supports retrieval and playback;
correspondingly, the data analysis system comprises an attribute database, the attribute database identifies the whole target in the image by detecting, tracking and classifying the video picture data in real time or stored, and identifies the attribute of the whole target, wherein the attribute extracted by the attribute identification comprises the following steps: age group, gender, hair color, hair style, body type, coat color style, whether or not to carry objects on the back and what objects, whether or not to hold objects and what objects, whether or not to wear glasses, whether or not to wear a mask, whether or not to smoke;
correspondingly, the data analysis system comprises a face feature database, and the face feature database is formed by decoding video picture data, detecting a target, analyzing a target motion direction, extracting a target key frame and extracting target features;
correspondingly, the data analysis system comprises an early warning unit, the early warning unit is connected with an attribute database and a face feature database, and the input monitoring target is subjected to feature comparison, tracking and early warning from the attribute database and the face feature database;
correspondingly, three defense engines are arranged in the firewall, the first defense engine provides three safety defenses of IPS, antivirus and URL filtering, the transmission safety of analysis data and front-end alarm information is effectively guaranteed, the second defense engine provides data deep analysis, the details of threats are exposed, malicious files are quickly detected, the threat detection rate is effectively improved, the third defense engine detects violent cracking, abnormal flow, malicious domain names and encrypted threat flow, and the threats of frequent varieties and high attack detection difficulty are effectively solved.
A statistical method of a people flow statistical analysis system comprises the following steps:
1) acquiring people stream data and video picture data, and analyzing and alarming the people stream data;
2) the alarm information and the video picture data are transmitted to a data analysis system, and the data analysis system performs data storage, identification and analysis on the video picture data;
3) the alarm information and the video picture data subjected to identification and analysis are transmitted to a data display system through a firewall for visual display;
correspondingly, the people flow data comprises the number of people in a specific area, the number of people in line and the number of people in and out, when the monitored number of people exceeds a set number threshold, density alarm is carried out, when the queuing time exceeds a preset alarm threshold, line alarm is carried out, and when the difference of the number of people in and out exceeds a set alarm threshold, line alarm is carried out;
correspondingly, the data analysis system identifies the whole target in the image by detecting, tracking and classifying the real-time or stored video picture data, and performs attribute identification on the whole target;
correspondingly, the data analysis system decodes the video picture data in real time or stored, detects a target, analyzes the target motion direction, extracts a target key frame and extracts target characteristics;
correspondingly, the data analysis system performs characteristic comparison, tracking and early warning on the input monitoring target, the attribute database and the face characteristic database.
The invention has the beneficial effects that:
1) the number of people in a specific area, the number of queuing people and the number of people passing in and out are monitored, the crowd density, the queuing time and the number of people passing through the line are obtained, an alarm is given when a set threshold value is exceeded, the situations of crowd and the like are effectively obtained in time, and intervention and emergency treatment can be conveniently carried out at the first time;
2) the acquired video picture data are stored, analyzed and identified, so that real-time browsing can be realized, retrieval and playback of stored historical video pictures are supported, an attribute database and a human face feature database can be obtained through identification and analysis, detection and tracking of targets are facilitated, and especially for monitoring targets, feature comparison, tracking and early warning can be performed from the attribute database and the human face feature database;
3) the alarm information and the video picture data can be visually displayed on the display platform after passing through the firewall, and three defense engines built in the firewall aim at security threats of different levels, so that the security threats and leakage of the data are prevented.
Drawings
FIG. 1 is a schematic diagram of a system for statistical analysis of people flow according to an embodiment of the present invention;
in the figure:
1. a data acquisition system; 2. a data analysis system; 3. a firewall; 4. a data presentation system.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The structures, proportions, and dimensions shown in the drawings and described in the specification are for illustrative purposes only and are not intended to limit the scope of the present invention, which is defined by the claims, so as to enable those skilled in the art to understand and read the present invention.
In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, e.g., as meaning permanently connected, removably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be connected internally or indirectly. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
As shown in fig. 1, in one embodiment of the present invention, the people flow statistical analysis system includes a data acquisition system, a data analysis system 2 and a data presentation system 4;
the data acquisition system 1 comprises an acquisition device and an analysis unit, wherein the acquisition device acquires the human flow data and the video picture data, and the analysis unit analyzes and warns the human flow data. In order to simplify the description, in this embodiment, an AI camera is respectively installed in the pre-examination area, the yard entrance and exit, and the payment window. The analysis unit of the AI camera arranged in the pre-inspection area comprises a flow density statistic module and a people number alarm module, wherein the flow density statistic module is used for monitoring the number of people in a specific area and comprises the crowd density, a defense arrangement plan and a linkage strategy, the people number alarm module is connected with the flow density statistic module, and the density alarm module is used for giving a density alarm when the monitored number of people exceeds a set people number threshold; is provided with
The data analysis system 2 uses optical non-contact sensing equipment to automatically receive a large amount of real scene image data and carry out intelligent analysis processing, and comprises a storage unit, an attribute database, a human face feature database and an early warning unit, wherein the storage unit stores video image data and supports retrieval and playback; the attribute database identifies the whole target in the image by detecting, tracking and classifying the video image data in real time or stored, and identifies the attribute of the whole target, wherein the attribute extracted by the attribute identification comprises the following steps: age group, gender, hair color, style, shape, coat color style, whether or not to carry a back and what, whether or not to hold a hand and what, whether or not to hold a person and what, whether or not to wear glasses, whether or not to wear a mask, whether or not to smoke; the human face feature database is realized by decoding video picture data, detecting a target, analyzing a target motion direction, extracting a target key frame and extracting target features, more specifically, judging whether the target exists in a dynamic scene and a complex background, separating the target, analyzing and recording the motion direction of the detected target, selecting the picture key frame which is most suitable for feature extraction according to the target motion and the target size on the basis of target detection and motion direction analysis, and extracting the overall and local high-dimensional features of the target through a deep learning neural network; the early warning unit is connected with the attribute database and the face characteristic database, and for an input monitoring target, the characteristic comparison, tracking and early warning are carried out from the attribute database and the face characteristic database, a face is captured in a key monitoring scene in real time, the identity of a monitored object is landed through the characteristic comparison, and the early warning is carried out in real time;
in addition, the data analysis system 2 also provides a cloud mirror control function, for example, an AI camera is arranged on a pan-tilt, and the data analysis system 2 is used for configuring movement detection, video occlusion and alarm in the intelligent behavior analysis of the AI camera;
Logging in an AI camera in a WEB way to perform basic network setting, video setting, analysis setting and alarm configuration, installing network deployment equipment in a machine room after configuration is completed, connecting the network deployment equipment with a computer room through optical fibers or a network cable to realize network intercommunication, logging in a data analysis system 2 in a WEB way to perform network configuration, video configuration, analysis configuration and data display system 4 butt joint configuration after the network deployment is ready, wherein the video configuration mainly comprises equipment access, real-time monitoring and video recording; the analysis configuration mainly carries out loading algorithm plug-in and function configuration, and the safe deployment of the network after the deployment of the data analysis system 2 mainly relates to the deployment of safety strategies such as port safety, protocol safety, application safety, antivirus, intrusion prevention and intelligent linkage.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should make the description as a whole, and the embodiments may be appropriately combined to form other embodiments understood by those skilled in the art.
Claims (10)
1. The people flow statistic analysis system comprises a data acquisition system, a data analysis system and a data display system, and is characterized in that the data acquisition system comprises an acquisition device and an analysis unit, people flow data and video picture data are acquired through the acquisition device, the people flow data are analyzed and alarmed through the analysis unit, alarm information and the video picture data are conveyed to the data analysis system, the data analysis system performs data storage and identification analysis on the video picture data, and the video picture data and the alarm information subjected to identification analysis are conveyed to the data display system through a firewall to be visually displayed.
2. The system according to claim 1, wherein the analysis unit comprises a statistic module and an alarm module, the statistic module comprises a flow density statistic module, a queuing time statistic module and a line-passing statistic module, the flow density statistic module is used for monitoring the number of people in a specific area and comprises crowd density, a defense arrangement plan and a linkage strategy, the queuing time statistic module is used for monitoring the number of people in a specific area and calculating the current queuing time of the team through single processing time and comprises the queuing time, the defense arrangement plan and the linkage strategy, and the line-passing statistic module is used for counting the number of people in and out of the area with the warning line and comprises the line-passing statistic, the defense arrangement plan and the linkage strategy; the alarm unit comprises a number alarm module, a queuing alarm module and a line crossing alarm module, wherein the number alarm module is connected with the flow density statistical module, the density alarm is carried out when the number of monitoring people exceeds a set number threshold, the queuing alarm module is connected with the queuing time statistical module, the queuing alarm module carries out queuing alarm when the queuing time exceeds a preset alarm threshold, the line crossing alarm module is connected with the line crossing statistical module, and the line crossing alarm module carries out line crossing alarm when the number difference of the number of people in and out exceeds the set alarm threshold.
3. The system according to claim 1, wherein the data analysis system comprises an attribute database, the attribute database identifies the whole target in the image by detecting, tracking and classifying the video picture data stored in real time or in storage, and performs attribute identification on the whole target, and the attributes extracted by the attribute identification comprise: age, gender, hair color, style, shape, style of upper garment color, style of lower garment color, whether or not to carry objects on the back and what objects, whether or not to hold objects and what objects, whether or not to wear glasses, whether or not to wear a mask, and whether or not to smoke.
4. The system of claim 1, wherein the data analysis system comprises a facial feature database, and the facial feature database is formed by decoding video picture data, target detection, target motion analysis, target key frame extraction, and target feature extraction.
5. The people flow statistical analysis system according to claim 1, wherein the data analysis system comprises an early warning unit, the early warning unit is connected with an attribute database and a face feature database, and for an input monitoring target, feature comparison, tracking and early warning are performed from the attribute database and the face feature database.
6. The system according to claim 1, wherein three defense engines are built in the firewall, the first defense engine provides three security defenses of IPS, antivirus and URL filtering, the transmission security of analysis data and front-end alarm information is effectively guaranteed, the second defense engine provides data depth analysis, details of threats are exposed, malicious files are rapidly detected, the threat detection rate is effectively improved, and the third defense engine detects violent cracking, abnormal flow, malicious domain names and encrypted threat flow, so that threats with frequent variety and high attack detection difficulty are effectively solved.
7. The statistical analysis method of the people flow statistical analysis system according to any one of claims 1 to 6, comprising the steps of:
1) acquiring people stream data and video picture data, and analyzing and alarming the people stream data;
2) the alarm information and the video picture data are transmitted to a data analysis system, and the data analysis system performs data storage, identification and analysis on the video picture data;
3) and the alarm information and the video picture data subjected to identification and analysis are transmitted to a data display system through a firewall for visual display.
8. The people flow statistical analysis method according to claim 7, wherein the people flow data comprises the number of people in a specific area, the number of people in line, and the number of people in and out, and when the monitored number of people exceeds a set number threshold, a density alarm is performed, when the duration of line exceeds a preset alarm threshold, a line alarm is performed, and when the difference between the number of people in and out exceeds a set alarm threshold, a line alarm is performed.
9. The method according to claim 7, wherein the data analysis system detects, tracks and classifies the video picture data stored in real time or in real time to identify the whole target in the image, and performs attribute identification on the whole target.
10. The method according to claim 7, wherein the data analysis system performs decoding, target detection, target motion analysis, target key frame extraction, and target feature extraction on real-time or stored video picture data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110626564.6A CN113645180A (en) | 2021-06-04 | 2021-06-04 | People flow statistical analysis system and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110626564.6A CN113645180A (en) | 2021-06-04 | 2021-06-04 | People flow statistical analysis system and method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113645180A true CN113645180A (en) | 2021-11-12 |
Family
ID=78415929
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110626564.6A Pending CN113645180A (en) | 2021-06-04 | 2021-06-04 | People flow statistical analysis system and method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113645180A (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069429A (en) * | 2015-07-29 | 2015-11-18 | 中国科学技术大学先进技术研究院 | People flow analysis statistics method based on big data platform and people flow analysis statistics system based on big data platform |
| CN106899601A (en) * | 2017-03-10 | 2017-06-27 | 北京华清信安科技有限公司 | Network attack defence installation and method based on cloud and local platform |
| CN107220633A (en) * | 2017-06-15 | 2017-09-29 | 苏州科达科技股份有限公司 | A kind of intelligent mobile enforcement system and method |
| WO2018032938A1 (en) * | 2016-08-19 | 2018-02-22 | 深圳奇迹智慧网络有限公司 | Probe-based people flow warning and analyzing method and system |
| CN108206932A (en) * | 2016-12-16 | 2018-06-26 | 北京迪科达科技有限公司 | A kind of campus intelligent monitoring management system |
| CN108206935A (en) * | 2016-12-16 | 2018-06-26 | 北京迪科达科技有限公司 | A kind of personnel amount statistical monitoring analysis system |
| CN109376577A (en) * | 2018-08-27 | 2019-02-22 | 中国电子科技集团公司电子科学研究院 | Video synthesis analysis method and system |
| CN109428938A (en) * | 2017-09-04 | 2019-03-05 | 上海仪电（集团）有限公司中央研究院 | A kind of linkage control intelligence system based on video analysis |
| CN110505438A (en) * | 2018-05-18 | 2019-11-26 | 杭州海康威视数字技术股份有限公司 | A kind of acquisition methods and video camera of data queued |
| CN110826496A (en) * | 2019-11-07 | 2020-02-21 | 腾讯科技（深圳）有限公司 | Crowd density estimation method, device, equipment and storage medium |
-
2021
- 2021-06-04 CN CN202110626564.6A patent/CN113645180A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069429A (en) * | 2015-07-29 | 2015-11-18 | 中国科学技术大学先进技术研究院 | People flow analysis statistics method based on big data platform and people flow analysis statistics system based on big data platform |
| WO2018032938A1 (en) * | 2016-08-19 | 2018-02-22 | 深圳奇迹智慧网络有限公司 | Probe-based people flow warning and analyzing method and system |
| CN108206932A (en) * | 2016-12-16 | 2018-06-26 | 北京迪科达科技有限公司 | A kind of campus intelligent monitoring management system |
| CN108206935A (en) * | 2016-12-16 | 2018-06-26 | 北京迪科达科技有限公司 | A kind of personnel amount statistical monitoring analysis system |
| CN106899601A (en) * | 2017-03-10 | 2017-06-27 | 北京华清信安科技有限公司 | Network attack defence installation and method based on cloud and local platform |
| CN107220633A (en) * | 2017-06-15 | 2017-09-29 | 苏州科达科技股份有限公司 | A kind of intelligent mobile enforcement system and method |
| CN109428938A (en) * | 2017-09-04 | 2019-03-05 | 上海仪电（集团）有限公司中央研究院 | A kind of linkage control intelligence system based on video analysis |
| CN110505438A (en) * | 2018-05-18 | 2019-11-26 | 杭州海康威视数字技术股份有限公司 | A kind of acquisition methods and video camera of data queued |
| CN109376577A (en) * | 2018-08-27 | 2019-02-22 | 中国电子科技集团公司电子科学研究院 | Video synthesis analysis method and system |
| CN110826496A (en) * | 2019-11-07 | 2020-02-21 | 腾讯科技（深圳）有限公司 | Crowd density estimation method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103108159B (en) | Electric power intelligent video analyzing and monitoring system and method | |
| CN102306304B (en) | Face occluder identification method and device | |
| KR101215948B1 (en) | Image information masking method of monitoring system based on face recognition and body information | |
| CN112233300A (en) | Community passing epidemic prevention monitoring joint defense system and method based on artificial intelligence | |
| CN106454250A (en) | Intelligent recognition and early warning processing information platform | |
| CN109376577A (en) | Video synthesis analysis method and system | |
| CN107818312A (en) | A kind of embedded system based on abnormal behaviour identification | |
| WO2009152766A1 (en) | Embedded computer vision warning device for monitoring the flow of passengers on escalator | |
| KR101164228B1 (en) | A security system and a method using multiplex biometrics of face and body | |
| CN109389794A (en) | A kind of Intellectualized Video Monitoring method and system | |
| KR20060031832A (en) | A smart visual security system based on real-time behavior analysis and situation cognizance | |
| CN108777703A (en) | A kind of abnormal behaviour processing method and system based on block chain | |
| CN113223046B (en) | Method and system for identifying prisoner behaviors | |
| CN111564224A (en) | Intelligent monitoring system with health monitoring function and implementation method thereof | |
| CN112257494A (en) | Behavior recognition method based on intelligent video analysis technology and application | |
| US20210364356A1 (en) | System and method for using artificial intelligence to enable elevated temperature detection of persons using commodity-based thermal cameras | |
| CN114067236A (en) | Target person information detection device, detection method and storage medium | |
| KR102182660B1 (en) | System and method for detecting violence using spatiotemporal features and computer readable recording media storing program for executing method thereof | |
| CN114282784A (en) | Smart community management system based on big data | |
| CN110602453B (en) | Internet of things big data intelligent video security monitoring system | |
| CN112528732A (en) | Smart campus supervision method, system and equipment based on smart box | |
| CN107920224B (en) | Abnormity warning method, abnormity warning equipment and video monitoring system | |
| CN110677619A (en) | Intelligent monitoring video processing method | |
| CN108806121A (en) | Active ATM in bank guard method and its device | |
| CN205847453U (en) | A kind of wisdom gold eyeball people based on intelligent video technology and the Activity recognition system of thing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211112 |