CN110533889A - A kind of sensitizing range electronic equipment monitoring positioning device and method - Google Patents
A kind of sensitizing range electronic equipment monitoring positioning device and method Download PDFInfo
- Publication number
- CN110533889A CN110533889A CN201910811567.XA CN201910811567A CN110533889A CN 110533889 A CN110533889 A CN 110533889A CN 201910811567 A CN201910811567 A CN 201910811567A CN 110533889 A CN110533889 A CN 110533889A
- Authority
- CN
- China
- Prior art keywords
- electronic equipment
- equipment
- monitoring
- level
- 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
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
Landscapes
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Alarm Systems (AREA)
- Image Analysis (AREA)
Abstract
The invention discloses a kind of sensitizing range electronic equipment monitoring positioning device and methods.This monitoring positioning device includes equipment safety partition of the level module, equipment behavior acquisition module, threat level division module and early warning respond module;For equipment safety partition of the level module according to the concrete condition of sensitizing range, sensitivity and security class to distinct electronic apparatuses inside and outside monitoring area carry out partition of the level;Equipment behavior obtains module and carries out deep learning pretreatment to the equipment picture of different security levels, and training forms device model, and carries out the acquisition of equipment pattern to monitoring region;Threat level division module impends grade classification according to the security level and electronic equipment track of equipment;Early warning respond module makes early warning processing according to threat level.The present invention is used for the management of sensitizing range electronic equipment, sensitizing range internal cause is avoided illegally to move electronic equipment, using the brings safety problem such as illegal electronic equipment, sensitizing range security management and control working efficiency is helped to improve, physical security and information spy cost are saved.
Description
Technical field
The present invention relates to a kind of sensitizing range electronic equipment monitoring positioning device and methods.
Background technique
Video monitoring is the main means of current sensitizing range physical security protection, the means mainly pass through real time inspection,
The modes such as subsequent playback visually identify unauthorized person and illegal act.The development of the artificial intelligence technologys such as image recognition, so that
The applications such as the access control system based on recognition of face, the control of the vehicle based on Car license recognition are developed rapidly.Based on electromagnetism, red
The identification to mobile object may be implemented in the Radar Technology such as outer, but is difficult to stationary object, small-sized object and carries out to object
It distinguishes.On the other hand, the development of Internet of Things, mobile Internet, so that the electronic equipment presentation in crucial industry physical environment is more
Sample trend needs technological means to assist carrying out safety management.In addition, although physical isolation is that network safety prevention more has
The means of effect, but be also faced with illegal electronic equipment, unmanned device bring is monitored, taken pictures, networking etc., and invasions threaten.
Therefore, it is badly in need of providing intelligent image identification, positioning and the trace tracking method to objects such as electronic equipments, Jin Erjian
Vertical electronic equipment monitoring positions new tool, provides identification centered on " object ", Activity recognition, threat assessment new method,
The limitation for getting rid of traditional artificial identification, recognition of face or Activity recognition, realizes graduate monitoring and warning, to be key message
Infrastructure and its sensitizing range provide the physical environment safety and network information security guarantee of enhancing.
Summary of the invention
In order to overcome the disadvantages mentioned above of the prior art, the invention proposes a kind of positioning of sensitizing range electronic equipment monitoring to fill
It sets and method.
The technical solution adopted by the present invention to solve the technical problems is:
A kind of sensitizing range electronic equipment monitoring positioning device, including equipment safety partition of the level module, equipment behavior obtain
Modulus block, threat level division module and early warning respond module;
Equipment safety partition of the level module is according to the concrete condition of sensitizing range, to distinct electronic apparatuses inside and outside monitoring area
Sensitivity and security class carry out partition of the level;
Equipment behavior obtains module and carries out deep learning pretreatment, training shape to the electronic equipment picture of different security levels
The acquisition of electronic equipment pattern is carried out at electronic equipment model, and to monitoring region;
Threat level division module impends grade classification according to the security class and electronic equipment track of electronic equipment;
Early warning respond module makes early warning processing according to threat level.
The present invention also provides a kind of sensitizing range electronic equipment monitoring localization methods comprising following steps:
Step 1: acquisition environment templates, environment templates acquire once when being switched on preparation;
Step 2: the frame picture of continuous collecting monitored picture, is identified and is positioned to electronic equipment in frame picture, according to
The comparison result of environment templates and real-time pictures judges whether new electronic equipment occur;
In the case where there is new electronic equipment, step 3 is carried out to step 5:
Step 3: judging the security type of electronic equipment;
Step 4: according to the security type of electronic equipment, the running track of electronic equipment and the threat level criteria for classifying,
Determine threat level;
Step 5: carrying out corresponding early warning processing according to determining threat level;
In the case where not occurring new electronic equipment, step 6 is carried out to step 7:
Step 6: the electronic equipment to frame picture carries out coordinate extraction, whether coordinate occurs compared with the picture of former frame
Variation;
Step 7: to the frame picture, processing terminate if coordinate is unchanged;If coordinate changes, according to electronic equipment
Situation of movement and the threat level criteria for classifying determine threat level, and after corresponding Forewarning Measures, to the place of the frame picture
Reason terminates.
Compared with prior art, the positive effect of the present invention is:
The present invention can characterize the historical movement track of monitoring region arbitrary period inner electronic equipment, be sensitizing range
The management of electronic equipment provides a pair of and has an X-rayed eye, is conducive to trace threat source in time, avoids sensitizing range internal cause electronic equipment
Bring safety problem, while working efficiency is helped to improve, save monitoring cost.
Detailed description of the invention
Examples of the present invention will be described by way of reference to the accompanying drawings, in which:
Fig. 1 is each the functional block diagram of sensitizing range electronic equipment monitoring positioning device.
Fig. 2 is the work flow diagram of sensitizing range electronic equipment monitoring localization method.
Specific embodiment
The embodiment of the present invention provides a kind of monitoring positioning device of sensitizing range electronic equipment comprising equipment safety rank
Division module, equipment behavior obtain module, threat level division module and early warning respond module.Dress is positioned by above-mentioned monitoring
It sets, is realized by fixing camera stationary monitoring region to the track behavior of different security level electronic equipments for sensitizing range
Real-time intelligent monitoring and early warning.It is compared using object identification and location algorithm and environment templates, judges whether there is new electronics
Equipment enters, whether has situations such as illegal electronic equipment enters;By extracting coordinate of the electronic equipment in monitoring region, in real time
Reduced coordinates variation the behaviors such as is moved or is removed according to whether there is electronic equipment in changes in coordinates analyzed area.According to electricity
The track behavior of the security level and electronic equipment of sub- equipment divides the threat level in region, for different threats
Grade intelligently exports semantic description, carries out timely early warning response.The present invention can be to monitoring region arbitrary period inner electronic equipment
Historical movement track is patterned characterization, carries out further judging the different of sensitizing range inner electronic equipment by human assistance
Reason condition provides a pair of perspective eye for the management of sensitizing range electronic equipment, is conducive to trace threat source in time, avoids sensitivity
Region internal cause electronic equipment bring safety problem, while working efficiency is helped to improve, save monitoring cost.It is specific:
Equipment safety partition of the level module is according to the concrete condition of sensitizing range, to distinct electronic apparatuses inside and outside monitoring area
Sensitivity and security class carry out partition of the level, the rank of division includes that usual device (authorization), sensitive electron are set
Standby (authorization) and illegal electronic equipment (unauthorized), so as to the foundation as Classification and Identification and evaluation threat level.
Equipment behavior obtains module and carries out electronic equipment Image Acquisition to stationary monitoring region by fixed wide-angle camera,
And deep learning pretreatment is carried out to the electronic equipment picture of different security levels, training forms electronic equipment model.By right
Electronic equipment in monitoring area is identified, is positioned, judge whether to occur new electronic equipment, whether have illegal electronic equipment into
Enter to monitor region, coordinate of the electronic equipment in monitoring area, real time contrast's changes in coordinates, root are extracted by the positioning of electronic equipment
The behavior of monitored electronic equipment is obtained according to changes in coordinates, motion profile.
Specifically, the function that equipment behavior obtains module is realized by following steps:
Step S1. determines electronic equipment model, acquires environment templates;
Step S1 includes:
S11. the electronic equipment according to equipment safety partition of the level module to different security class, other special or Novel electrics
The division of the security class of sub- equipment carries out labeling pretreatment to the electronic equipment classification marked off and establishes electronic equipment class
Other sample database passes through deep learning and instruction using the electronic equipment classification after labeling as the input of deep learning training process
White silk forms electronic equipment model;
S12. it regard the image collection record in monitoring area as comparison template.
Step S2. identification and locating and monitoring region inner electronic equipment;
Step S2 includes:
S21. the electronic equipment in the environment templates of step S1 acquisition is extracted, judges the kind of wherein electronic equipment
Class, quantity and position;
S22. the real-time pictures that operation deep learning recognizer records Image Acquisition are identified and are analyzed, and to knowledge
The electronic equipment being clipped to is positioned in such a way that frame selects, and is judged whether there is new authorization electronic equipment or illegal electronic and is set
It is standby to enter monitoring region.
Step S3. extracts monitoring region inner electronic equipment coordinate, analyzes with template matching;
Step S3 includes:
S31. the identification of electronic equipment in environment templates and real-time pictures is positioned according in step S2, is extracted respectively related
Electronic equipment coordinate;
S32. it by the coordinate position of electronic equipment in real-time pictures, is compared with electronic equipment coordinate in environment templates,
The change in location situation of the original electronic equipment of environment templates is judged with this;
S33. it is determined according to the positioning in monitoring region to electronic equipment to calculate the changes in coordinates of specific electronic equipment
The motion track of electronic equipment;
If S34. monitoring, original electronic equipment occurs mobile or has new electronic equipment to enter monitoring region, carries out to it
Record, the content of record include motion track, displacement time, the electronic equipment of different security class electronic equipments in monitoring region
The key messages such as behavior picture, and form log recording.
Wherein, for do not change or be displaced after template matching it is smaller can set the electronic equipment in range without
The temporal frequency of record, the record log that the electronic equipment changed is formed is preset as 1 second, and specific time interval can be according to not
It is adjusted with environment and demand.
Threat level division module can be according to the security class of electronic equipment and the different tracks behavior of electronic equipment, by prestige
Grade classification is coerced into level Four.Refer to table 1.
The 1 sensitizing range electronic equipment threat level table of comparisons of table
It is specific:
Level-one threat refers to that original usual device moves in monitoring region;
Second level threat refers to that new usual device enters monitoring region or original sensitive electronic equipment in monitoring region
Interior movement;
Three-level threat refers to that original usual device is moved out of monitoring region or new sensitive electronic equipment enters monitoring
Region;
Level Four threat refers to that original sensitive electronic equipment is carried over monitoring region or illegal electronic equipment enters monitoring section
Domain.
Intelligent semantic description output is carried out in conjunction with log recording for determining threat level.Specifically to monitoring region
The threat level output phase of interior determination answers text and phonic warning information.Such as: there is illegal electronic equipment xxx entrance, then exports
Descriptive voice and text: " level Four threatens: occurring illegal electronic equipment xxx in region ";If there is original usual device
Xxx is moved out of the case where monitoring region, then exports: " three-level threatens: usual device xxx is moved out of monitoring area ", other
Situation exports corresponding semantic description according to threat level.
Early warning respond module is made corresponding early warning with corresponding semantic description according to the threat level of evaluation and is handled.In early warning
In measure, the log of record is checked at any time for administrative staff.Please refer to table 2.
The specific Forewarning Measures table of comparisons of table 2
It is specific:
The Forewarning Measures threatened level-one include: output electronic equipment motion profile.
The Forewarning Measures threatened second level include: output electronic equipment motion profile, flashing warning light.Warning lamp persistently dodges
It is bright to be automatically closed after a certain period of time, it is preset as 30 seconds, scintillation time can also be configured according to specific requirements herein.
The Forewarning Measures threatened three-level include: output electronic equipment motion profile, flashing warning light, audio alarm.This
The warning lamp of place's flashing will not be automatically closed, and be turned off manually after needing administrative staff to confirm;For audio alarm, it is not provided with
Alarm interval also carries out alarm interval to achieve the effect that lasting warning according to specific needs.
The Forewarning Measures threatened level Four include: output electronic equipment motion profile, flashing warning light, audio alarm, are led to
Know security department.The warning lamp flashed herein will not be automatically closed, and be turned off manually after needing administrative staff to confirm;For sound
Tone alerts are not provided with alarm interval, to achieve the effect that lasting warning, also carry out alarm interval according to specific needs;It is right
In notice security department, by ongoing notification, and after security department related personnel acknowledges receipt of message, end notification.
The embodiment of the invention also provides a kind of sensitizing range electronic equipment monitoring localization methods comprising following steps:
Step 1: acquiring environment templates by image capture module, environment templates only acquire when being switched on preparation primary.
Step 2: the frame picture of continuous collecting monitored picture, is identified and is positioned to electronic equipment in frame picture, according to
The comparison result of environment templates and real-time pictures judges whether new electronic equipment occur;
In the case where there is new electronic equipment, step 3 is carried out to step 5:
Step 3: judging the security type of electronic equipment, if belong to usual device, sensitive electronic equipment or illegal
Electronic equipment;
Step 4: determining threat level according to the security type of electronic equipment and the threat level criteria for classifying;
Step 5: carrying out corresponding early warning processing according to determining threat level;
In the case where not occurring new electronic equipment, step 6 is carried out to step 7:
Step 6: the electronic equipment to frame picture carries out coordinate extraction, whether coordinate occurs compared with the picture of former frame
Variation;
Step 7: to the frame picture, processing terminate if coordinate is unchanged;If coordinate changes, according to electronic equipment
Situation of movement and the threat level criteria for classifying determine threat level, and after corresponding Forewarning Measures, to the place of the frame picture
Reason terminates.
The preferred embodiment of the present invention has shown and described in above description, it should be understood that the present invention is not limited to this paper institute
The form stated is not to be taken as the exclusion to other examples.It should be pointed out that monitoring region of the invention is including but not limited to done
Public environment, the environment of plant, teaching environment, conferencing environment, central machine room, museum, exhibition room, important warehouse, unattended scene
Etc..For those skilled in the art, if can also make without departing from the principle of the present invention
Dry to improve, these improvement also should be regarded as safeguard measure of the invention.
Claims (10)
1. a kind of sensitizing range electronic equipment monitoring positioning device, which is characterized in that including equipment safety partition of the level module, set
Standby behavior obtains module, threat level division module and early warning respond module;
Equipment safety partition of the level module according to the concrete condition of sensitizing range, to inside and outside monitoring area distinct electronic apparatuses it is quick
Sense degree and security class carry out partition of the level;
Equipment behavior obtains module and carries out deep learning pretreatment to the electronic equipment picture of different security levels, and training forms electricity
Sub- device model, and the acquisition of electronic equipment pattern is carried out to monitoring region;
Threat level division module impends grade classification according to the security level and electronic equipment track of electronic equipment;
Early warning respond module makes early warning processing according to threat level.
2. electronic equipment monitoring positioning device in sensitizing range according to claim 1, which is characterized in that the equipment behavior
Module is obtained by being identified, being positioned to the electronic equipment in monitoring area, judges whether new electronic equipment, Yi Jishi occur
It is no to there is illegal electronic equipment to enter monitoring region;
By the positioning to electronic equipment, coordinate of the electronic equipment in monitoring area is extracted, real time contrast's changes in coordinates, according to
Changes in coordinates, motion profile obtain the behavior of monitored electronic equipment.
3. electronic equipment monitoring positioning device in sensitizing range according to claim 2, which is characterized in that the equipment behavior
Obtain module function realizing method the following steps are included:
S1. it determines electronic equipment model, acquires environment templates;
S2. the electronic equipment in simultaneously locating and monitoring region is identified;
S3. the electronic equipment coordinate in monitoring region is extracted, is compared with template.
4. electronic equipment monitoring positioning device in sensitizing range according to claim 3, which is characterized in that the step S1 packet
Include following steps:
S11. the security level of the distinct electronic apparatuses marked off according to equipment safety partition of the level module, to the electronics marked off
Device class carries out labeling pretreatment and simultaneously establishes electronic equipment classification sample database, using the electronic equipment classification after labeling as
The input of deep learning training process forms electronic equipment model by deep learning and training;
S12. it regard the image collection record in monitoring area as comparison template.
5. electronic equipment monitoring positioning device in sensitizing range according to claim 4, which is characterized in that the step S2 packet
Include following steps:
S21. the electronic equipment in the environment templates of step S1 acquisition is extracted, judges the wherein type of electronic equipment, number
Amount and position;
S22. deep learning recognizer is run, the real-time pictures of Image Acquisition record are identified, and to the electricity recognized
Sub- equipment is positioned in such a way that frame selects, and is judged whether there is new authorization electronic equipment or illegal electronic equipment and is entered prison
Survey region.
6. electronic equipment monitoring positioning device in sensitizing range according to claim 5, which is characterized in that the step S3 packet
Include following steps:
S31. the identification of the electronic equipment in environment templates and real-time pictures is positioned according in step S2, is extracted respectively mutually powered-down
The coordinate of sub- equipment;
S32. it by the coordinate position of electronic equipment in real-time pictures, is compared with electronic equipment coordinate in environment templates, with this
Judge the change in location situation of the original electronic equipment of environment templates;
S33. electricity is determined to calculate the changes in coordinates of specific electronic equipment according to the positioning in monitoring region to electronic equipment
The motion track of sub- equipment;
If S34. monitoring, original electronic equipment occurs mobile or has new electronic equipment to enter monitoring region, remembers to it
Record, record content include motion track, displacement time and the electronic equipment row of different security class electronic equipments in monitoring region
For picture, and form record log.
7. electronic equipment monitoring positioning device in sensitizing range according to claim 6, which is characterized in that the threat level
Threat level is divided into following level Four by division module:
Level-one threatens: original usual device moves in monitoring region;
Second level threatens: new usual device enters monitoring region or original sensitive electronic equipment and moves in monitoring region;
Three-level threatens: original usual device is moved out of monitoring region or new sensitive electronic equipment enters monitoring region;
Level Four threatens: original sensitive electronic equipment is carried over monitoring region or illegal electronic equipment enters monitoring region.
8. electronic equipment monitoring positioning device in sensitizing range according to claim 7, which is characterized in that for determining prestige
Grade is coerced, in conjunction with log recording, carries out intelligent semantic description output.
9. electronic equipment monitoring positioning device in sensitizing range according to claim 3, which is characterized in that the equipment behavior
It obtains module and passes through fixed wide-angle camera to stationary monitoring region progress electronic equipment Image Acquisition.
10. a kind of sensitizing range electronic equipment monitoring localization method, which comprises the following steps:
Step 1: acquisition environment templates, environment templates acquire once when being switched on preparation;
Step 2: the frame picture of continuous collecting monitored picture, is identified and is positioned to electronic equipment in frame picture, according to environment
The comparison result of template and real-time pictures judges whether new electronic equipment occur;
In the case where there is new electronic equipment, step 3 is carried out to step 5:
Step 3: judging the security type of electronic equipment;
Step 4: being determined according to the security type of electronic equipment, the running track of electronic equipment and the threat level criteria for classifying
Threat level;
Step 5: carrying out corresponding early warning processing according to determining threat level;
In the case where not occurring new electronic equipment, step 6 is carried out to step 7:
Step 6: the electronic equipment to frame picture carries out coordinate extraction, whether coordinate changes compared with the picture of former frame;
Step 7: to the frame picture, processing terminate if coordinate is unchanged;It is mobile according to electronic equipment if coordinate changes
Situation and the threat level criteria for classifying determine threat level, and after corresponding Forewarning Measures, to the processing knot of the frame picture
Beam.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910811567.XA CN110533889B (en) | 2019-08-30 | 2019-08-30 | Sensitive area electronic equipment monitoring and positioning device and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910811567.XA CN110533889B (en) | 2019-08-30 | 2019-08-30 | Sensitive area electronic equipment monitoring and positioning device and method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110533889A true CN110533889A (en) | 2019-12-03 |
CN110533889B CN110533889B (en) | 2021-08-13 |
Family
ID=68665282
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910811567.XA Active CN110533889B (en) | 2019-08-30 | 2019-08-30 | Sensitive area electronic equipment monitoring and positioning device and method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110533889B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111524324A (en) * | 2020-03-20 | 2020-08-11 | 北京首都国际机场股份有限公司 | FOD alarm level determination method, electronic device and storage medium |
CN114424263A (en) * | 2020-03-25 | 2022-04-29 | 株式会社日立制作所 | Behavior recognition server and behavior recognition method |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2001148845A (en) * | 1999-11-19 | 2001-05-29 | Fujitsu General Ltd | Intruder supervisory system |
CN202003508U (en) * | 2011-03-03 | 2011-10-05 | 苏州市慧视通讯科技有限公司 | Bus lane illegal vehicle intruding detection equipment |
CN104360599A (en) * | 2014-11-10 | 2015-02-18 | 生迪光电科技股份有限公司 | Smart home control method, equipment and system based on LED lighting devices |
US20170124828A1 (en) * | 2015-11-04 | 2017-05-04 | Samsung Electronics Co., Ltd. | Alerting system and method for portable electronic device |
CN106839882A (en) * | 2017-01-22 | 2017-06-13 | 张红彬 | Special area invades unmanned plane early warning interceptor control system |
CN106980810A (en) * | 2016-01-19 | 2017-07-25 | 华北电力大学(保定) | A kind of Overheight Vehicles proximity test method incremental based on sensitizing range image outline |
CN108712611A (en) * | 2018-05-25 | 2018-10-26 | 上海与德科技有限公司 | Based reminding method, device, equipment and the storage medium of no photographing |
CN109040654A (en) * | 2018-08-21 | 2018-12-18 | 苏州科达科技股份有限公司 | Recognition methods, device and the storage medium of external capture apparatus |
CN109410496A (en) * | 2018-10-25 | 2019-03-01 | 北京交通大学 | Attack early warning method, apparatus and electronic equipment |
CN208820928U (en) * | 2018-05-28 | 2019-05-03 | 贵州飓束科技有限公司 | A kind of intelligent linkage security system |
-
2019
- 2019-08-30 CN CN201910811567.XA patent/CN110533889B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2001148845A (en) * | 1999-11-19 | 2001-05-29 | Fujitsu General Ltd | Intruder supervisory system |
CN202003508U (en) * | 2011-03-03 | 2011-10-05 | 苏州市慧视通讯科技有限公司 | Bus lane illegal vehicle intruding detection equipment |
CN104360599A (en) * | 2014-11-10 | 2015-02-18 | 生迪光电科技股份有限公司 | Smart home control method, equipment and system based on LED lighting devices |
US20170124828A1 (en) * | 2015-11-04 | 2017-05-04 | Samsung Electronics Co., Ltd. | Alerting system and method for portable electronic device |
CN106980810A (en) * | 2016-01-19 | 2017-07-25 | 华北电力大学(保定) | A kind of Overheight Vehicles proximity test method incremental based on sensitizing range image outline |
CN106839882A (en) * | 2017-01-22 | 2017-06-13 | 张红彬 | Special area invades unmanned plane early warning interceptor control system |
CN108712611A (en) * | 2018-05-25 | 2018-10-26 | 上海与德科技有限公司 | Based reminding method, device, equipment and the storage medium of no photographing |
CN208820928U (en) * | 2018-05-28 | 2019-05-03 | 贵州飓束科技有限公司 | A kind of intelligent linkage security system |
CN109040654A (en) * | 2018-08-21 | 2018-12-18 | 苏州科达科技股份有限公司 | Recognition methods, device and the storage medium of external capture apparatus |
CN109410496A (en) * | 2018-10-25 | 2019-03-01 | 北京交通大学 | Attack early warning method, apparatus and electronic equipment |
Non-Patent Citations (1)
Title |
---|
黎奉薪: "《基于深层卷积神经网络的物体识别研究》", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111524324A (en) * | 2020-03-20 | 2020-08-11 | 北京首都国际机场股份有限公司 | FOD alarm level determination method, electronic device and storage medium |
CN114424263A (en) * | 2020-03-25 | 2022-04-29 | 株式会社日立制作所 | Behavior recognition server and behavior recognition method |
CN114424263B (en) * | 2020-03-25 | 2023-06-27 | 株式会社日立制作所 | Behavior recognition server and behavior recognition method |
Also Published As
Publication number | Publication date |
---|---|
CN110533889B (en) | 2021-08-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP3343443B1 (en) | Object detection for video camera self-calibration | |
US20180278892A1 (en) | Complex hardware-based system for video surveillance tracking | |
EP3910540A1 (en) | Systems and methods of enforcing distancing rules | |
US7868772B2 (en) | Flame detecting method and device | |
CN112183472A (en) | Method for detecting whether test field personnel wear work clothes or not based on improved RetinaNet | |
CN110533889A (en) | A kind of sensitizing range electronic equipment monitoring positioning device and method | |
CN113111771A (en) | Method for identifying unsafe behaviors of power plant workers | |
CN109492548A (en) | The preparation method of region mask picture based on video analysis | |
EP3910539A1 (en) | Systems and methods of identifying persons-of-interest | |
CN113191273A (en) | Oil field well site video target detection and identification method and system based on neural network | |
CN113392706A (en) | Device and method for detecting smoking and using mobile phone behaviors | |
Ng et al. | Surveillance system with motion and face detection using histograms of oriented gradients | |
CN112330742A (en) | Method and device for recording activity routes of key personnel in public area | |
Dominguez et al. | A GPU-accelerated LPR algorithm on broad vision survillance cameras | |
CN116419059A (en) | Automatic monitoring method, device, equipment and medium based on behavior label | |
CN113989499B (en) | Intelligent alarm method in bank scene based on artificial intelligence | |
CN112804492B (en) | Communication prompting method and device for electronic peepholes | |
CN115719469A (en) | Target identification method and device, equipment and storage medium | |
CN112200145A (en) | Remote identification method for public security | |
CN114979567B (en) | Object and region interaction method and system applied to video intelligent monitoring | |
CN111985331B (en) | Detection method and device for preventing trade secret from being stolen | |
CN113269916B (en) | Guest prejudging analysis method and system based on face recognition | |
Lodha et al. | Covid-19 crowd detection and alert system using image processing | |
CN115240142B (en) | Outdoor key place crowd abnormal behavior early warning system and method based on cross media | |
CN116343419B (en) | Intelligent video monitoring alarm management system |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |