CN111918034A - Embedded unattended base station intelligent monitoring system - Google Patents
Embedded unattended base station intelligent monitoring system Download PDFInfo
- Publication number
- CN111918034A CN111918034A CN202010739501.7A CN202010739501A CN111918034A CN 111918034 A CN111918034 A CN 111918034A CN 202010739501 A CN202010739501 A CN 202010739501A CN 111918034 A CN111918034 A CN 111918034A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- embedded
- video data
- base station
- monitoring system
- 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
Images
Classifications
-
- 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
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Alarm Systems (AREA)
Abstract
The invention relates to an embedded type unattended base station intelligent monitoring system which comprises a monitoring main station, a monitoring substation and a monitoring communication network, wherein the monitoring substation carries out real-time video monitoring through external equipment to obtain video data, the monitoring communication network is used for carrying out video data communication with the monitoring main station, and the monitoring main station receives the video data transmitted by the monitoring substation and carries out target tracking and target identification on a moving object in a corresponding monitoring place according to the video data. Compared with the prior art, the method has the advantages of improving the identification accuracy of the monitoring system, expanding the application range of the monitoring system, reducing the labor cost and the capital investment and the like.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to an intelligent monitoring system based on an embedded unattended base station.
Background
The intelligent monitoring technology is a technology which integrates an intelligent behavior recognition algorithm in an embedded video server, can recognize and judge the behaviors of people or vehicles in a picture scene, and generates an alarm to prompt a user under a proper condition. Most of the existing related monitoring systems adopt a digital hard disk video recording system to record the situation of moving objects in a monitoring area for query, and the prevention and early warning effects cannot be achieved. The system simply detects the presence or absence of a moving object without performing any analysis.
The prior art discloses an unattended intelligent monitoring system based on cloud service, wherein an interpreter compresses and encodes a field picture captured by a video monitoring device to form a digital picture, and the digital picture is analyzed into text information according to the type of an alarm signal and sent to a user mobile phone or a video terminal platform through a cloud server.
Disclosure of Invention
The invention aims to overcome the defects of the prior art that the moving object is not analyzed and the dangerous action is alarmed, and provides an embedded intelligent monitoring system based on an unattended base station.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides an intelligent monitoring system of unmanned on duty basic station based on it is embedded, includes monitoring main website, monitoring sub-station and control communication network, the monitoring sub-station carries out real-time video monitoring through external equipment, acquires video data, through control communication network carries out the communication of video data with the monitoring main website, the video data of monitoring sub-station transmission is received to the monitoring main website, and according to video data carries out target tracking and target identification to the moving object in the corresponding control place.
The monitoring substation comprises a video processing system and a control engine system.
Further, the control engine system comprises a device management module and a task scheduling module.
Furthermore, the video processing system comprises a video acquisition module, a data storage module and a video sending module.
The data storage module is connected with the local memory.
Furthermore, the external equipment connected with the monitoring substation comprises a camera, a holder, a sensor, an entrance guard and an indicator light.
Furthermore, the camera is connected with a video processing system, and the control engine system is connected with the holder, the sensor, the entrance guard and the indicator light.
Further, the number of the cameras is 1 or more than 1.
The monitoring main station is provided with a target identification and tracking module.
Further, the target identification and tracking module preprocesses the received video data before performing target tracking and target identification on the running object.
Further, the preprocessing comprises graying and filtering the video data.
Further, the target image resolution of the graying processing and the filtering processing is sent to a target identification and tracking module through a control engine system.
Further, the target recognition and tracking module generates a control instruction and alarm information according to the video data analysis, and sends the control instruction, the tracking result and the alarm information to a control engine system of the monitoring substation.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention divides the traditional monitoring function into a monitoring main station and a monitoring sub station, the monitoring sub station collects video data, the monitoring main station carries out target identification and target tracking according to the video data, and carries out continuous monitoring on moving objects, thereby improving the identification accuracy of the monitoring system and enlarging the application range of the monitoring system.
2. The invention realizes information transmission, control and early warning by the interconnection communication between the monitoring substation and the external equipment, reduces the interference of human factors and reduces the limitation of the original monitoring.
3. According to the invention, the cloud platform is connected with the control engine system of the monitoring substation, so that the storage space of the monitoring system is effectively saved, and the data security and the storage range are increased.
4. The target recognition and tracking module can analyze the moving object in the video data, thereby avoiding the condition that the existing monitoring system is attended by people and reducing the corresponding labor cost and capital investment.
Drawings
FIG. 1 is a schematic structural diagram of the present invention.
FIG. 2 is a schematic diagram of the monitoring substation of the present invention;
FIG. 3 is a schematic diagram of a target recognition and tracking module according to the present invention;
FIG. 4 is a schematic diagram of a workflow of the target recognition and tracking module according to the present invention.
Reference numerals:
1-a camera; 2-a monitoring substation; 3-monitoring the communication network; 4-a monitoring master station; 5-an antenna; 6-signal transmission equipment.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
As shown in fig. 1, an intelligent monitoring system based on an embedded unattended base station improves the identification accuracy of the monitoring system and enlarges the application range of the monitoring system, comprising a monitoring main station 4, a monitoring substation 2 and a monitoring communication network 3, wherein the monitoring substation 2 performs real-time video monitoring through external equipment to acquire video data, is connected with the monitoring communication network 3 through an antenna 5 and a signal transmission device 6, the monitoring communication network 3 and the monitoring main station 4 perform video data communication, the monitoring main station 4 receives the video data transmitted by the monitoring substation 2, and performs target tracking and target identification on a moving object in a corresponding monitoring place according to the video data.
As shown in fig. 2, the monitoring substation 2 comprises a video processing system and a control engine system.
The control engine system comprises a device management module and a task scheduling module.
The video processing system comprises a video acquisition module, a data storage module and a video sending module.
The data storage module is connected with the local memory.
And the external equipment connected with the monitoring substation 2 comprises a camera 1, a holder, a sensor, an entrance guard and an indicator lamp.
The camera 1 is connected with a video processing system, and the control engine system is connected with a holder, a sensor, an entrance guard and an indicator light.
The number of the cameras 1 is 1 or more than 1.
As shown in fig. 3, the monitoring master station 4 is provided with an object recognition and tracking module.
And the target identification and tracking module is used for preprocessing the received video data before carrying out target tracking and target identification on the running object.
The preprocessing comprises the steps of carrying out graying processing and filtering processing on the video data, and sending the target image resolution of the graying processing and the filtering processing to a target identification and tracking module through a control engine system.
And the target recognition and tracking module analyzes and generates a control instruction and alarm information according to the video data, and sends the control instruction, a tracking result and the alarm information to a control engine system of the monitoring substation 2.
As shown in fig. 4, the target recognition and tracking module specifically executes the following steps:
step S1: establishing a background model according to the video data;
step S2: carrying out background difference on the background model, detecting whether a moving object exists in the background model, if so, turning to the step S4, otherwise, turning to the step S3;
step S3: updating the background model, acquiring the next frame of image, and turning to the step S2;
step S4: acquiring the area proportion of the moving object, judging whether the area proportion exceeds 20%, if not, turning to the step S6, and if so, turning to the step S5;
step S5: sending an alarm signal, judging whether the moving object is tracked or not, if so, turning to the step S6, and if not, exiting;
step S6: performing Kalman processing on the video data of the moving object, and turning to the step S7;
step S7: and if the processed target disappears, the step S2 is carried out, if the target does not disappear, the tracking feature and the original image are fused and sent to the control engine module as a tracking result, whether the tracking needs to be finished or not is judged, if the tracking does not need to be finished, the step S6 is carried out, and if the tracking needs to be finished, the step S6 is carried out.
In addition, it should be noted that the specific embodiments described in the present specification may have different names, and the above descriptions in the present specification are only illustrations of the structures of the present invention. All equivalent or simple changes in the structure, characteristics and principles of the invention are included in the protection scope of the invention. Various modifications or additions may be made to the described embodiments or methods may be similarly employed by those skilled in the art without departing from the scope of the invention as defined in the appending claims.
Claims (10)
1. The utility model provides an unmanned on duty basic station intelligent monitoring system based on it is embedded, its characterized in that, including monitoring main website (4), monitoring sub-station (2) and control communication network (3), monitoring sub-station (2) carry out real-time video monitoring through external equipment, acquire video data, through control communication network (3) and monitoring main website (4) carry out the communication of video data, monitoring main website (4) receive the video data of monitoring sub-station (2) transmission, and according to video data carries out target tracking and target identification to the moving object in the corresponding control place.
2. An embedded unattended base station intelligent monitoring system according to claim 1, characterised in that the monitoring substation (2) comprises a video processing system and a control engine system.
3. The intelligent monitoring system based on the embedded unattended base station is characterized in that the control engine system comprises an equipment management module and a task scheduling module.
4. The intelligent monitoring system based on the embedded unattended base station as claimed in claim 2, wherein the video processing system comprises a video acquisition module, a data storage module and a video transmission module.
5. The intelligent monitoring system based on the embedded unattended base station is characterized in that external equipment connected with the monitoring substation (2) comprises a camera (1), a holder, a sensor, an entrance guard and an indicator lamp.
6. The intelligent monitoring system based on the embedded unattended base station is characterized in that the camera (1) is connected with a video processing system, and the control engine system is connected with a holder, a sensor, an entrance guard and an indicator lamp.
7. The intelligent monitoring system based on the embedded unattended base station is characterized in that the monitoring main station (4) is provided with a target identification and tracking module.
8. The intelligent monitoring system based on the embedded unattended base station as claimed in claim 7, wherein the target recognition and tracking module preprocesses the received video data before performing target tracking and target recognition on the operation object.
9. The intelligent monitoring system based on the embedded unattended base station as claimed in claim 8, wherein the preprocessing includes graying and filtering the video data.
10. The intelligent monitoring system based on the embedded unattended base station is characterized in that the target recognition and tracking module generates a control instruction and alarm information according to video data analysis, and sends the control instruction, tracking result and alarm information to the monitoring substation (2).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010739501.7A CN111918034A (en) | 2020-07-28 | 2020-07-28 | Embedded unattended base station intelligent monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010739501.7A CN111918034A (en) | 2020-07-28 | 2020-07-28 | Embedded unattended base station intelligent monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111918034A true CN111918034A (en) | 2020-11-10 |
Family
ID=73286419
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010739501.7A Pending CN111918034A (en) | 2020-07-28 | 2020-07-28 | Embedded unattended base station intelligent monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111918034A (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102291574A (en) * | 2011-08-31 | 2011-12-21 | 山东轻工业学院 | Complicated scene target movement tracking system based on embedded technique and light transmission and monitoring method thereof |
| CN202488597U (en) * | 2011-12-16 | 2012-10-10 | 武汉大学 | Autonomous cooperation video monitor node apparatus for intelligent object identification and track |
| JP2012221437A (en) * | 2011-04-14 | 2012-11-12 | Hitachi Ltd | Object recognition device and object recognition method |
| CN103065409A (en) * | 2012-12-14 | 2013-04-24 | 广州供电局有限公司 | Power transmission line monitoring and early warning system |
| CN104200485A (en) * | 2014-07-10 | 2014-12-10 | 浙江工业大学 | Video-monitoring-oriented human body tracking method |
| CN104581030A (en) * | 2013-10-25 | 2015-04-29 | 山东科技大学 | Portable intelligent monitoring system |
| CN106452658A (en) * | 2016-10-25 | 2017-02-22 | 成都紫瑞青云航空宇航技术有限公司 | Low-altitude air defense equipment |
| CN107249037A (en) * | 2017-07-02 | 2017-10-13 | 东华大学 | A kind of mobile communication Monitor Equipment of controllable head |
| US20180107863A1 (en) * | 2016-03-04 | 2018-04-19 | Boe Technology Group Co., Ltd. | Electronic device, face recognition and tracking method and three-dimensional display method |
| KR101868103B1 (en) * | 2017-07-12 | 2018-06-18 | 군산대학교 산학협력단 | A video surveillance apparatus for identification and tracking multiple moving objects and method thereof |
| CN108932479A (en) * | 2018-06-06 | 2018-12-04 | 上海理工大学 | A kind of human body anomaly detection method |
| CN109905675A (en) * | 2019-03-13 | 2019-06-18 | 武汉大学 | A kind of mine personnel monitoring system based on computer vision and method |
-
2020
- 2020-07-28 CN CN202010739501.7A patent/CN111918034A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012221437A (en) * | 2011-04-14 | 2012-11-12 | Hitachi Ltd | Object recognition device and object recognition method |
| CN102291574A (en) * | 2011-08-31 | 2011-12-21 | 山东轻工业学院 | Complicated scene target movement tracking system based on embedded technique and light transmission and monitoring method thereof |
| CN202488597U (en) * | 2011-12-16 | 2012-10-10 | 武汉大学 | Autonomous cooperation video monitor node apparatus for intelligent object identification and track |
| CN103065409A (en) * | 2012-12-14 | 2013-04-24 | 广州供电局有限公司 | Power transmission line monitoring and early warning system |
| CN104581030A (en) * | 2013-10-25 | 2015-04-29 | 山东科技大学 | Portable intelligent monitoring system |
| CN104200485A (en) * | 2014-07-10 | 2014-12-10 | 浙江工业大学 | Video-monitoring-oriented human body tracking method |
| US20180107863A1 (en) * | 2016-03-04 | 2018-04-19 | Boe Technology Group Co., Ltd. | Electronic device, face recognition and tracking method and three-dimensional display method |
| CN106452658A (en) * | 2016-10-25 | 2017-02-22 | 成都紫瑞青云航空宇航技术有限公司 | Low-altitude air defense equipment |
| CN107249037A (en) * | 2017-07-02 | 2017-10-13 | 东华大学 | A kind of mobile communication Monitor Equipment of controllable head |
| KR101868103B1 (en) * | 2017-07-12 | 2018-06-18 | 군산대학교 산학협력단 | A video surveillance apparatus for identification and tracking multiple moving objects and method thereof |
| CN108932479A (en) * | 2018-06-06 | 2018-12-04 | 上海理工大学 | A kind of human body anomaly detection method |
| CN109905675A (en) * | 2019-03-13 | 2019-06-18 | 武汉大学 | A kind of mine personnel monitoring system based on computer vision and method |
Non-Patent Citations (1)
| Title |
|---|
| 黄田黄等: ""基于改进差分算法的变桨ADRC参数优化"", 《计算机仿真》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102122859B1 (en) | Method for tracking multi target in traffic image-monitoring-system | |
| CN110070155B (en) | Comprehensive behavior recognition method and system for prisoner based on wearable equipment | |
| CN103106766A (en) | Forest fire identification method and forest fire identification system | |
| CN106851229B (en) | Security and protection intelligent decision method and system based on image recognition | |
| CN107547617B (en) | Traffic accident information collection method and device | |
| KR102122850B1 (en) | Solution for analysis road and recognition vehicle license plate employing deep-learning | |
| CN102917207A (en) | Motion sequence based abnormal motion vision monitoring system | |
| CN111416956A (en) | Mobile video data acquisition and processing system and method | |
| CN117975637A (en) | Intelligent security system based on Internet of things | |
| CN111818286A (en) | Video monitoring equipment fault detection system | |
| CN112422895A (en) | Image analysis tracking and positioning system and method based on unmanned aerial vehicle | |
| CN107124577A (en) | A kind of real-time alarm system for guarding against theft based on moving object detection | |
| CN112102623A (en) | Traffic violation identification method and device and intelligent wearable device | |
| CN111918034A (en) | Embedded unattended base station intelligent monitoring system | |
| CN111783618A (en) | Garden brain sensing method and system based on video content analysis | |
| CN116052356A (en) | Intelligent building site monitor platform | |
| CN114898279A (en) | Object detection method and device, computer equipment and storage medium | |
| CN205384656U (en) | Intelligent vehicle -traveling data recorder | |
| CN114283361A (en) | Method and apparatus for determining status information, storage medium, and electronic apparatus | |
| KR102122853B1 (en) | Monitoring system to control external devices | |
| CN112738387B (en) | Target snapshot method, device and storage medium | |
| CN113065416A (en) | Leakage monitoring device integrated with transformer substation video monitoring device, method and medium | |
| CN112333421A (en) | Museum intelligent inspection system based on 5G | |
| CN117496438B (en) | Target area determining method, electronic equipment and storage medium | |
| CN113311301B (en) | Method and system for testing insulation performance of electrical equipment |
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: 20201110 |