CN110222216B - Multifunctional intelligent defense system - Google Patents
Multifunctional intelligent defense system Download PDFInfo
- Publication number
- CN110222216B CN110222216B CN201910237697.7A CN201910237697A CN110222216B CN 110222216 B CN110222216 B CN 110222216B CN 201910237697 A CN201910237697 A CN 201910237697A CN 110222216 B CN110222216 B CN 110222216B
- Authority
- CN
- China
- Prior art keywords
- information
- characteristic information
- user
- face
- image
- 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.)
- Active
Links
- 230000007123 defense Effects 0.000 title claims abstract description 40
- 238000012545 processing Methods 0.000 claims description 26
- 238000001514 detection method Methods 0.000 claims description 23
- 238000013523 data management Methods 0.000 claims description 15
- 230000007613 environmental effect Effects 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 4
- 239000000779 smoke Substances 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 2
- 210000000887 face Anatomy 0.000 claims description 2
- 230000036626 alertness Effects 0.000 abstract description 2
- 238000005286 illumination Methods 0.000 description 4
- 239000000047 product Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
-
- 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
- G08B21/02—Alarms for ensuring the safety of persons
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Emergency Management (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Chemical & Material Sciences (AREA)
- Computer Security & Cryptography (AREA)
- Development Economics (AREA)
- Human Computer Interaction (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Analytical Chemistry (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a multifunctional intelligent defense system which comprises a defense terminal, a mobile terminal connected with the defense terminal and a network data platform respectively connected with the defense terminal and the mobile terminal. The system can be used for conveniently acquiring face information, and analyzing whether possible danger occurs or not by carrying out face recognition and cloud computing on the acquired data image, can predict in time when no danger occurs, improves the alertness of a user, reduces the occurrence of accidents, can greatly improve the self-protection of the user, and reduces some avoidable accidents; rescue can be effectively sought when danger occurs.
Description
Technical Field
The invention relates to a multifunctional intelligent defense system.
Background
The development of safety protection products on the market at present is not perfect and intelligent, can not be used for rapidly and conveniently monitoring all the products happening at home, and can not be used for timely alarming or informing the family in case of danger.
Disclosure of Invention
The invention aims to provide a multifunctional intelligent defense system which can predict danger and effectively ask for help and defend oneself.
The face information can be conveniently collected, the collected data image is subjected to face recognition and cloud computing to analyze whether possible problems of danger occur or not, the possibility of danger can be timely predicted when the danger does not occur, and rescue can be effectively searched when the danger occurs.
In order to solve the above technical problems, the present invention provides a multifunctional intelligent defense system, which comprises
The defense terminal comprises a central processing unit, and an image detection unit, an alarm unit and a positioning module which are respectively connected with the central processing unit; the image detection unit is used for acquiring image information around the user and identifying the environment around the user and the passerby face to obtain environment characteristic information and face characteristic information; the positioning module is used for positioning the position information of the user in real time; the central processing unit is used for collecting the environmental characteristic information, the human face characteristic information and the position information and sending the collected information to the network data platform;
the network data platform is used for receiving the environment characteristic information, the face characteristic information and the position information; the collected face feature information is sent to an information checking module to be compared with a dangerous figure and a dangerous section marked in a public security network provided by a police, and whether danger occurs or not is predicted;
and the data management module is used for carrying out backup, analysis and classification according to the acquired face characteristic information, environmental characteristic information and position information when an accident occurs to form a database and storing the database to the data management terminal.
Further, the method for acquiring the face feature information and the environment feature information by the image detection unit comprises the following steps: the image processing unit firstly carries out face detection on the image acquired by the image acquisition unit, positions eyes on the face, carries out face recognition if the eyes are positioned, carries out image preprocessing on image information and then carries out face feature extraction; and if the eyes are not positioned, performing environment recognition, performing image preprocessing on the image information, and then extracting the environment features.
Further, the method adopted by the network data platform for predicting whether the danger occurs comprises the following specific steps:
s1: receiving the environment feature information, the face feature information and the position information; the acquired face feature information is sent to an information checking module to be compared with face feature information of criminals with president in a public security network provided by police, and when the matching degree of the current face feature information and the face feature information of the criminals with the president is judged to be larger than a preset value, an early warning signal is sent to a user;
s2: judging whether the user enters a high-risk area or not by comparing the acquired environmental characteristic information and the acquired position information with environmental characteristic information and position information of a marked dangerous area in the system, and sending an early warning signal to the user when the user is judged to enter an accident high-occurrence area;
s3: when the network data platform collects alarm information sent by a user, the face feature information, the environment feature information and the position information collected in the time period are stored, and meanwhile, the police is alarmed through the police monitoring platform.
Furthermore, the system also comprises a data sharing module connected with the data management terminal, and the information checking module can acquire shared data in the data management terminal through the data sharing module; the user can mark corresponding environmental feature information, human face feature information and position information in danger and then upload the information to a system expansion database, and then share the database through a data sharing module.
Further, the users can share effective countermeasures adopted when danger is met through the data sharing module.
Furthermore, the system also comprises an emergency alarm unit connected with the central processing unit, wherein the emergency alarm unit comprises a voice detection unit and a one-key alarm switch; the voice detection unit comprises a voice acquisition unit and a voice recognition unit, and the voice recognition unit is connected with the central processing unit.
Furthermore, the system also comprises a plurality of mobile terminals which are respectively in communication connection with the defense terminal and the network data platform; the mobile terminal is connected with the central processing unit through Bluetooth, and the defense terminal and the mobile terminal are respectively connected with the network data platform through NB-IoT modules.
Furthermore, the system also comprises a discharger connected with the central processing unit, and a safety hammer is also arranged in the defense terminal.
Further, the system also comprises a lighting system connected with the central processor.
Furthermore, the system also comprises a security detection unit connected with the central processing unit, and the security detection unit comprises a smoke sensing component and a temperature sensing component.
The beneficial effects of the invention are as follows: the system can be used for conveniently acquiring face information, and analyzing whether possible danger occurs or not by carrying out face recognition and cloud computing on the acquired data image, can predict in time when no danger occurs, improves the alertness of a user, reduces the occurrence of accidents, can greatly improve the self-protection of the user, and reduces some avoidable accidents; rescue can be effectively sought when danger occurs.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and are not intended to limit the application. In the drawings:
FIG. 1 is a schematic block diagram of one embodiment of the present invention.
Fig. 2 is a schematic structural diagram of an embodiment of the present invention.
Detailed Description
The multifunctional intelligent defense system shown in fig. 1 comprises a defense terminal, a mobile terminal connected with the defense terminal, and a network data platform respectively connected with the defense terminal and the mobile terminal. The mobile terminal (such as a mobile phone) is provided with an emergency rescue APP matched with the network data platform, the mobile terminal is connected with the central processing unit through Bluetooth, the mobile terminal is connected with the network data platform through an NB-IoT module, and the defense terminal and the network data platform are communicated through the NB-IoT module. When the mobile terminal is successfully connected with the defense terminal, the defense terminal sends information to the network data platform through the mobile terminal, and when the mobile terminal is not connected with the central processing unit, the defense terminal directly sends data to the network data platform through the NB-IoT module. The user can also set a reserved contact when using the app, and the app utilizes the positioning system of the app to send an alarm signal to the reserved contact.
The defense terminal comprises a central processing unit, and an image detection unit, an alarm unit and a positioning module which are respectively connected with the central processing unit.
The image detection unit is used for acquiring image information around a user and identifying the environment around the user and the faces of passers-by to obtain environment characteristic information and face characteristic information; the image acquisition unit comprises an image acquisition unit (camera) for acquiring image information around a user and an image processing unit for processing the image information acquired by the image acquisition unit, wherein the image processing unit comprises an environment recognition unit and a face recognition unit, and can acquire and recognize environment information around the user and passersby. The image processing unit firstly carries out face detection on the image acquired by the image acquisition unit, positions eyes on the face, carries out face recognition if the eyes are positioned, carries out image preprocessing on image information and then carries out face feature extraction; and if the eyes are not positioned, performing environment recognition, performing image preprocessing on the image information, and then extracting the environment features. According to the method and the device, the face in the image is detected firstly, so that the prediction efficiency can be enhanced.
The positioning module is used for positioning the position information of the user in real time, and the GPS module can be used for positioning the position of the user so as to identify the position of the user and timely position the user when danger is met. The alarm unit is used for sending alarm information according to the control command; the alarm unit can comprise one or a combination of a vibration alarm, a sound alarm and a light alarm. When the defense terminal is successfully connected with the mobile terminal through the Bluetooth, the central processing unit sends the environment characteristic information, the face characteristic information and the position information to the mobile phone through the Bluetooth module, and the received data is sent to the network data platform through the mobile phone; and when the mobile terminal is not connected with the central processing unit, the defense terminal directly sends the environmental characteristic information, the human face characteristic information and the position information to the network data platform through the NB-IoT module.
The network data platform is used for receiving the environment feature information, the face feature information and the position information. After receiving the information, the network data platform processes the received data by adopting the following steps:
s1: the acquired face characteristic information is sent to an information checking module to be compared with face characteristic information of criminals with president in a public security network provided by police, and when the matching degree of the current face characteristic information and the face characteristic information of the criminals with president is judged to be larger than a preset value, an early warning signal can be sent to a user through a mobile terminal or an early warning unit;
s2: judging whether the user enters a high-risk area or not according to the acquired environmental characteristic information and the acquired position information, and sending an early warning signal to the user through a mobile terminal or an early warning unit when the user is judged to enter an accident high-occurrence section; the method for judging whether the user enters the high-risk area comprises the following steps: and positioning the current specific position of the user according to the environmental characteristic information and the position information, and judging that the user enters a high-risk area when the user is monitored to enter the high-risk area marked in the big data cloud system or provided in a public security network.
When a user encounters danger, the warning switch arranged on the defense terminal can control the warning unit to send a warning signal for help, so that the aim of frightening dangerous molecules can be fulfilled; when an emergency situation occurs, the alarm can be given through the voice detection unit and the one-key alarm switch. The voice detection unit comprises a voice acquisition list for voice and a voice recognition unit for recognizing the acquired voice, and a user can perform voice alarm through specific sensitive words. In addition, the voice inspection unit not only can be used for alarming, but also can be used for collecting the sound of dangerous molecules so as to facilitate the later-stage pursuit.
When the network data platform acquires alarm information sent by a user, the face characteristic information, the environment characteristic information and the position information acquired in the time period are stored, and meanwhile, the police is alarmed through the police monitoring platform according to the emergency degree; in addition, the user can describe the dangerous place and the dangerous time through the mobile terminal, and then the description information is sent to the data management platform for backup and is stored in the big data.
The data management module is used for backing up, analyzing and classifying according to the acquired face characteristic information, the environmental characteristic information and the position information when an accident occurs to form a database and storing the database to the data management terminal; the data management terminal can be a data management terminal of a product enterprise, and can also be used for data management of a special safety monitoring center, and the data management terminal can share data in the database through the data sharing module so as to enrich background data and improve early warning accuracy and comprehensiveness. The users can also share effective countermeasures adopted when danger is met through the data sharing module, so that other users can learn experience and prevent measures conveniently.
In addition, the system also comprises a discharger, a lighting system and a security detection unit which are connected with the central processing unit. The discharger is used for defending when a user encounters danger and strives for time for rescue and escape; a safety hammer can be arranged in the defense terminal to realize emergency rescue when necessary; the illumination system can be used for illumination, and also can supplement light for the camera under dark light so as to improve the definition of an image, the maximum brightness of the illumination system can reach 900 lumens, and the longest illumination distance can reach 500 meters; the security detection unit comprises a smoke sensing assembly and a temperature sensing assembly, when the defense terminal is placed at home, whether people steal at home or not can be monitored by the aid of the internet of things technology and a camera on the defense terminal, and a smoke sensor and a flame sensor in the defense terminal can detect fire.
The system is provided with the network background which is supported by the cloud storage, the cloud computing and the face recognition technology, can provide convenience for a user to monitor everything happening at home, can give an alarm to inform the family when facing a danger, and can easily observe surrounding conditions to provide a platform for judging whether the danger exists or not when going out, improve the vigilance of the user, reduce the occurrence of accidents, greatly improve the self-protection of the user, and reduce some avoidable accidents. A plurality of defense terminals can be connected to the network data platform to implement data sharing, as shown in fig. 2.
Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.
Claims (9)
1. A multifunctional intelligent defense system is characterized by comprising
The defense terminal comprises a central processing unit, and an image detection unit, an alarm unit and a positioning module which are respectively connected with the central processing unit; the image detection unit is used for acquiring image information around a user and identifying the environment around the user and the faces of passers-by to obtain environment characteristic information and face characteristic information; the positioning module is used for positioning the position information of the user in real time; the central processing unit is used for collecting the environmental characteristic information, the human face characteristic information and the position information and sending the collected information to the network data platform;
the network data platform is used for receiving the environment characteristic information, the face characteristic information and the position information; the collected face feature information, the collected environment feature information and the collected position information are sent to an information checking module to be compared with the marked dangerous figures and dangerous sections in the public security network provided by the police, and whether danger occurs is predicted; the method for predicting whether the network data platform is dangerous or not comprises the following specific steps:
s1: receiving the environment feature information, the face feature information and the position information; the acquired face characteristic information is sent to an information checking module to be compared with face characteristic information of criminals with president in a public security network provided by police, and when the matching degree of the current face characteristic information and the face characteristic information of the criminals with president is judged to be larger than a preset value, an early warning signal is sent to a user;
s2: comparing the collected environmental characteristic information and the collected position information with environmental characteristic information and position information of a dangerous area marked in the system to judge whether the user enters a high-risk area, and sending an early warning signal to the user when the user is judged to enter an accident high-risk area;
s3: when the network data platform acquires alarm information sent by a user, the face characteristic information, the environment characteristic information and the position information acquired in the time period are stored, and meanwhile, the police is alarmed through the police monitoring platform;
and the data management module is used for backing up, analyzing and classifying the acquired face characteristic information, the environmental characteristic information and the position information when an accident occurs to form a database and storing the database to the data management terminal.
2. The system according to claim 1, wherein the image detection unit obtains the face feature information and the environmental feature information by: the image processing unit firstly carries out face detection on the image acquired by the image acquisition unit, positions eyes on the face, carries out face recognition if the eyes are positioned, carries out image preprocessing on image information and then carries out face feature extraction; and if the eyes are not positioned, performing environment recognition, performing image preprocessing on the image information, and then extracting the environment features.
3. The multifunctional intelligent defense system according to claim 1, characterized in that the system further comprises a data sharing module connected with the data management terminal, and the information checking module can acquire the shared data in the data management terminal through the data sharing module; the user can mark corresponding environmental feature information, human face feature information and position information in danger and then upload the information to a system expansion database, and then share the database through a data sharing module.
4. The multifunctional intelligent defense system according to claim 3, characterized in that users can also share effective countermeasures taken in case of danger through the data sharing module.
5. The multi-functional intelligent defense system according to claim 1, characterized in that the system further comprises an emergency alarm unit connected to the central processor, the emergency alarm unit comprising a voice detection unit and a one-key alarm switch; the voice detection unit comprises a voice acquisition unit and a voice recognition unit, and the voice recognition unit is connected with the central processing unit.
6. The multifunctional intelligent defense system according to claim 1, characterized in that the system further comprises a plurality of mobile terminals in communication connection with the defense terminal and the network data platform, respectively; the mobile terminal is connected with the central processing unit through Bluetooth, and the defense terminal and the mobile terminal are respectively connected with the network data platform through NB-IoT modules.
7. The multi-functional intelligent defense system according to claim 1, characterized in that the system further comprises an arrester connected to the central processor, and a safety hammer is further built in the defense terminal.
8. The system of claim 1, further comprising a lighting system connected to said central processor.
9. The system of claim 1, further comprising a security detection unit connected to said central processor, said security detection unit comprising a smoke sensing component and a temperature sensing component.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910237697.7A CN110222216B (en) | 2019-03-27 | 2019-03-27 | Multifunctional intelligent defense system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910237697.7A CN110222216B (en) | 2019-03-27 | 2019-03-27 | Multifunctional intelligent defense system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110222216A CN110222216A (en) | 2019-09-10 |
| CN110222216B true CN110222216B (en) | 2023-04-07 |
Family
ID=67822440
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910237697.7A Active CN110222216B (en) | 2019-03-27 | 2019-03-27 | Multifunctional intelligent defense system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110222216B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111815884A (en) * | 2020-06-17 | 2020-10-23 | 广东以诺通讯有限公司 | Automatic dialing alarm method for mobile terminal |
| CN112347280B (en) * | 2020-10-15 | 2022-08-26 | 平和县鑫泰德远矿业有限公司 | Pyrophyllite mineral comprehensive data acquisition and data management system |
| CN112775983A (en) * | 2020-12-25 | 2021-05-11 | 张月崧 | Intelligent defense protection method and intelligent dart-keeping robot |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1647357A1 (en) * | 2004-10-13 | 2006-04-19 | Robosoft N.V. | Method and device for observing and securing a danger zone of a machine or the like |
| CN102689313A (en) * | 2012-06-11 | 2012-09-26 | 长安大学 | High-altitude dangerous environment article clearing system and clearing method based on flying robot |
| CN105847585A (en) * | 2016-05-16 | 2016-08-10 | 诚迈科技（南京）股份有限公司 | Environment safety-based mobile terminal using method and device |
| CN106341526A (en) * | 2016-08-24 | 2017-01-18 | 维沃移动通信有限公司 | Prompt method and mobile terminal |
| CN106920364A (en) * | 2015-12-25 | 2017-07-04 | 展讯通信（上海）有限公司 | Walking along the street method for early warning, device and terminal |
| CN108873898A (en) * | 2018-06-26 | 2018-11-23 | 武汉理工大学 | A kind of long-range Ride Control System of immersion and method based on real time data interaction |
| CN109448155A (en) * | 2018-10-15 | 2019-03-08 | 国网河南省电力公司济源供电公司 | Equipment-patrolling method based on AR technology |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201918031U (en) * | 2011-01-18 | 2011-08-03 | 曲涛 | Vehicle safety early-warning system based on GPS positioning information and wireless communication network |
| CA3004657A1 (en) * | 2015-11-10 | 2017-05-18 | Exact Imaging, Inc. | A system comprising indicator features in high-resolution micro-ultrasound images |
| CN207233149U (en) * | 2017-08-01 | 2018-04-13 | 贵州财大鼎新科创产业有限公司 | Safety pre-warning system and wisdom public security system |
-
2019
- 2019-03-27 CN CN201910237697.7A patent/CN110222216B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1647357A1 (en) * | 2004-10-13 | 2006-04-19 | Robosoft N.V. | Method and device for observing and securing a danger zone of a machine or the like |
| CN102689313A (en) * | 2012-06-11 | 2012-09-26 | 长安大学 | High-altitude dangerous environment article clearing system and clearing method based on flying robot |
| CN106920364A (en) * | 2015-12-25 | 2017-07-04 | 展讯通信（上海）有限公司 | Walking along the street method for early warning, device and terminal |
| CN105847585A (en) * | 2016-05-16 | 2016-08-10 | 诚迈科技（南京）股份有限公司 | Environment safety-based mobile terminal using method and device |
| CN106341526A (en) * | 2016-08-24 | 2017-01-18 | 维沃移动通信有限公司 | Prompt method and mobile terminal |
| CN108873898A (en) * | 2018-06-26 | 2018-11-23 | 武汉理工大学 | A kind of long-range Ride Control System of immersion and method based on real time data interaction |
| CN109448155A (en) * | 2018-10-15 | 2019-03-08 | 国网河南省电力公司济源供电公司 | Equipment-patrolling method based on AR technology |
Non-Patent Citations (6)
| Title |
|---|
| image location region match;Muhammad Hammad Memon 等;《International Computer Conference on Wavelet Active Media Technology and Information Processing》;20160620;247-250 * |
| 基于历史数据的机场危险区识别方法研究;邱文彬;《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》;20150815;C031-55 * |
| 基于地面快速鲁棒特征的智能车全局定位方法;胡兵 等;《上海交通大学学报》;20190228;203-208 * |
| 基于机器视觉的道路识别与障碍物检测技术研究;唐高友;《中国优秀博硕士学位论文全文数据库 (硕士)工程科技Ⅱ辑》;20051215;C035-21 * |
| 载人小轿车智能悬架在模态空间的模糊控制;王波;《噪声与振动控制》;20110618;42-46 * |
| 通航桥梁船撞风险分析与规避措施研究与应用;潘放;《中国博士学位论文全文数据库工程科技Ⅱ辑》;20110615;C036-23 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110222216A (en) | 2019-09-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AU2020203351B2 (en) | Drone-augmented emergency response services | |
| CN109598885B (en) | Monitoring system and alarm method thereof | |
| CN110222216B (en) | Multifunctional intelligent defense system | |
| CN103150856B (en) | Fire flame video monitoring and early warning system | |
| JP5560397B2 (en) | Autonomous crime prevention alert system and autonomous crime prevention alert method | |
| CN106251568A (en) | A kind of fire alarm safety-protection system based on ultraviolet and image detecting technique and method | |
| KR102356666B1 (en) | Method and apparatus for risk detection, prediction, and its correspondence for public safety based on multiple complex information | |
| CN110801593B (en) | Extremely early fire early warning system and method fusing multi-mode data | |
| CN113011833A (en) | Safety management method and device for construction site, computer equipment and storage medium | |
| CN105279878A (en) | Wireless video anti-burglary automatic alarm system and method thereof | |
| CN110519560B (en) | Intelligent early warning method, device and system | |
| CN111754714A (en) | Security monitoring system and monitoring method thereof | |
| KR20190082692A (en) | System And Method For Safety Management | |
| CN111275909B (en) | Security early warning method and device | |
| CN113938645A (en) | Big data wisdom community monitored control system | |
| CN112288975A (en) | Event early warning method and device | |
| CN117414558B (en) | Fire-fighting equipment quality monitoring system based on Internet of things | |
| KR102233679B1 (en) | Apparatus and method for detecting invader and fire for energy storage system | |
| CN208638498U (en) | Intelligent voice control monitoring system | |
| CN111461655A (en) | Personnel management system | |
| CN112576310B (en) | Tunnel security detection method and system based on robot | |
| KR102156241B1 (en) | Risk alarm system with the safety block | |
| KR20130136251A (en) | Method and apparatus for situation recognition using object energy function | |
| CN111882819A (en) | Vehicle-mounted monitoring intelligent control system | |
| CN116246401A (en) | Monitoring system for community public area management |
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 |