CN110837753A - Collective and separate model for human-vehicle object identification and control and use method thereof - Google Patents
Collective and separate model for human-vehicle object identification and control and use method thereof Download PDFInfo
- Publication number
- CN110837753A CN110837753A CN201810932054.XA CN201810932054A CN110837753A CN 110837753 A CN110837753 A CN 110837753A CN 201810932054 A CN201810932054 A CN 201810932054A CN 110837753 A CN110837753 A CN 110837753A
- Authority
- CN
- China
- Prior art keywords
- unit
- data
- vehicle
- electrically connected
- alarm
- 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
-
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
-
- 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
-
- 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
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Emergency Management (AREA)
- Business, Economics & Management (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- Alarm Systems (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a centralized model for identifying and controlling human and vehicle objects, which belongs to the technical field of security and protection, and comprises a human face information acquisition subsystem, wherein the electrical output of the human face information acquisition subsystem is connected with an algorithm model unit, the electrical input of the algorithm model unit is connected with the vehicle information acquisition subsystem and a mobile phone MAC information acquisition unit, the electrical output of the algorithm model unit is connected with a central processing unit for data analysis and judgment, the electrical output of the central processing unit is connected with a data storage unit for data storage and maintenance, a data display unit for data display and an alarm subsystem for alarm reminding, the invention associates the acquired human face data, license plate data and mobile phone Mac address data through the algorithm model unit, speculates the relationship of the human and vehicle objects, then carries out centralized accounting and comprehensive judgment and centralized classification on the characteristics of the human and vehicle objects through the central processing unit, generates alarms of different grades for buzzers with different values, the case solving efficiency of police officers is improved.
Description
Technical Field
The invention relates to the technical field of security protection, in particular to a centralized and separate model for human, vehicle and object identification and control.
Background
With the rapid development of economy and the acceleration of urbanization process, urban population in China is becoming more dense, the mobility of urban population is greatly increased, and the enhancement of management on aspects such as traffic management, social security, key area prevention, stability maintenance and the like in urban construction is urgent.
The Chinese patent document with the publication number of CN201765513U provides a city security portrait arrangement, control, tracking and capturing system based on a portrait biological recognition technology, the system can automatically and continuously capture all portrait photos of people passing through each camera, then the photos are transmitted to a portrait server arranged in a background for large-scale searching and comparison, if the collected portraits are found to be the people arranged and controlled by a security department and needing important precaution, the system can automatically alarm immediately, the system can only singly utilize the portrait photos collected by the cameras for comparison and authentication, the data is independent, various and unrelated, the analysis is not facilitated, meanwhile, early warning and prejudgment cannot be achieved, and unnecessary troubles are caused to the people in the security department.
Disclosure of Invention
The invention aims to provide a centralized and separate model for human and vehicle identification and control, which aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the integrated model comprises a face information acquisition subsystem for collecting face data, wherein the face information acquisition subsystem is electrically connected with an algorithm model unit for data association and binding relationship, the algorithm model unit is electrically connected with a vehicle information acquisition subsystem for collecting vehicle data and a mobile phone MAC information acquisition unit for collecting mobile phone data in an input mode, the algorithm model unit is electrically connected with a central processing unit for analyzing and judging data in an output mode, and the central processing unit is electrically connected with a data storage unit for storing and maintaining data, a data display unit for displaying data and an alarm subsystem for alarming and reminding.
Preferably, the face information collection subsystem includes a first camera, the first camera is electrically connected to the face image collection unit, the face image collection unit is electrically connected to the image processing unit, the image processing unit is electrically connected to the face information collection control system, the face information collection control system is electrically connected to the face information comparison unit, the face information comparison unit is electrically connected to the face information identification unit, the face information identification unit is electrically connected to the face information search unit, the face information collection control system is electrically connected to the face information display unit and the face information storage unit respectively, and the face information storage unit is electrically connected to the face information management unit.
Preferably, the vehicle information acquisition subsystem comprises a second camera, the second camera is electrically connected with the snapshot unit in an output mode, the snapshot unit is electrically connected with the vehicle information acquisition control system in an output mode, the vehicle information acquisition control system is respectively electrically connected with the map unit and the vehicle information query unit in an input mode, the map unit is electrically connected with the vehicle positioning unit in an input mode, and the vehicle information acquisition control system is respectively electrically connected with the vehicle information storage unit and the vehicle information display unit in an output mode.
Preferably, the alarm subsystem comprises a data receiving unit, the data receiving unit is electrically connected with the data processing unit, the data processing unit is electrically connected with the alarm control system, the alarm control system is electrically connected with the data parameter comparison unit, the alarm control system is respectively and electrically connected with the alarm data storage unit and the control unit, the control unit is electrically connected with the alarm, and the alarm data storage unit is electrically connected with the printing unit.
Preferably, the face information management unit includes a data modification unit, a data deletion unit, and a data addition unit.
Preferably, the first camera comprises one or more of an infrared camera, a night vision camera, an explosion-proof camera and a waterproof camera, and the outer wall of the first camera is connected with a GPS (global positioning system) positioner through a USB (universal serial bus) interface.
Preferably, the picture processing unit includes a column scaling unit and a row scaling unit.
Preferably, the second camera is a zoom camera, and a universal joint is installed on the outer wall of the second camera.
Preferably, the vehicle information inquiry unit includes a license plate number inquiry, a vehicle number inquiry and a vehicle type inquiry.
Preferably, the alarm comprises a red light emitting diode and a buzzer.
The use method of the collective and separate model for human, vehicle and object identification and control comprises the following steps:
s1: firstly, collision and association are carried out on collected face data, license plate data and mobile phone Mac address data through an algorithm model unit, and the relation of the face data, the license plate data and the mobile phone Mac address data is presumed to form a binding relation;
s2: then, carrying out set-division accounting on the characteristics of the vehicles and the objects through a central processing unit, comprehensively judging the set division, storing the data processed by the central processing unit in a data storage unit, and displaying the data through a data display unit;
s3: when the total collection value is larger than or equal to 150 minutes, the control unit controls the red light emitting diode to be on and off, the buzzer works to generate a sound to generate an alarm, and when the single content exceeds the alarm threshold value, the alarm information can be generated, so that the police officers can conveniently confirm criminal suspects and the case solving efficiency of the police officers is improved.
Compared with the prior art, the invention has the beneficial effects that: the invention carries out collision and association on collected face data, license plate data and mobile phone Mac address data through an algorithm model unit, conjectures the relationship of people and vehicles to form a binding relationship, then carries out integrated accounting on the characteristics of the people and vehicles through a central processing unit, comprehensively judges the integrated scores, stores the data processed by the central processing unit in a data storage unit, simultaneously displays the data through a data display unit, and for the score exceeding a certain integrated score, the central processing unit sends out a signal to enable an alarm subsystem to send out an alarm, the total integrated score is personnel integrated score information, vehicle integrated score information and Mac integrated score information, when the total integrated score is more than or equal to 90 minutes, a control unit controls a red light-emitting diode to flash, a buzzer does not respond and generates an early warning, when the total integrated score is more than or equal to 150 minutes, the control unit controls a red light-emitting diode to be on, the buzzer works to send out sound, and an alarm warning is generated, and when the single content exceeds the warning threshold value, warning information can be generated, so that police can conveniently confirm the criminal suspect, and the case solving efficiency of the police is improved.
Drawings
FIG. 1 is a schematic diagram of the present invention;
FIG. 2 is a schematic block diagram of a face information acquisition subsystem of the present invention;
FIG. 3 is a schematic block diagram of a vehicle information acquisition subsystem of the present invention;
FIG. 4 is a functional block diagram of an alarm subsystem of the present invention;
FIG. 5 is a comprehensive set chart of the present invention.
In the figure: 1 a face information acquisition subsystem, 2 an algorithm model unit, 3 a vehicle information acquisition subsystem, 4 a mobile phone MAC information acquisition unit, 5 a central processing unit, 6 a data storage unit, 7 a data display unit, 8 an alarm subsystem, 9 a first camera, 10 a face picture acquisition unit, 11 a picture processing unit, 12 a face information acquisition control system, 13 a face information comparison unit, 14 a face information identification unit, 15 a face information search unit, 16 a face information display unit, 17 a face information storage unit, 18 a face information management unit, 19 a second camera, 20 a snapshot unit, 21 a vehicle information acquisition control system, 22 a map unit, 23 a vehicle information query unit, 24 a vehicle positioning unit, 25 a vehicle information storage unit, 26 a vehicle information display unit, 27 a data receiving unit, 28 a data processing unit, 29 an alarm control system, 30 data parameter comparison unit, 31 alarm data storage unit, 32 control unit, 33 alarm and 34 printing unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution: a centralized and separate model for human and vehicle object identification and control comprises a human face information acquisition subsystem 1 for collecting human face data, wherein the human face information acquisition subsystem 1 is electrically connected with an algorithm model unit 2 for data association and binding relationship, the algorithm model unit 2 is respectively and electrically connected with a vehicle information acquisition subsystem 3 for collecting vehicle data and a mobile phone MAC information acquisition unit 4 for collecting mobile phone data, MAC addresses in mobile phones bound by vehicle owners are acquired through the mobile phone MAC information acquisition unit 4, the algorithm model unit 2 is electrically connected with a central processing unit 5 for data analysis and judgment, the central processing unit 5 is respectively and electrically connected with a data storage unit 6 for data storage and maintenance, a data display unit 7 for data display and an alarm subsystem 8 for alarm reminding, and the acquired human face data are collected through the algorithm model unit 2, The vehicle license data and the mobile phone Mac address data are collided and associated, the relationship between people and vehicles is presumed to form a binding relationship, then the characteristics of the people and vehicles are subjected to integrated classification and accounting through the central processing unit 5, the integrated judgment and the integration are carried out, the data processed by the central processing unit 5 are stored in the data storage unit 6 and are displayed through the data display unit 7, and for the people and vehicles exceeding a certain integrated value, the central processing unit 5 sends a signal to enable the alarm subsystem 8 to send an alarm to remind police officers in time.
Wherein, the face information collecting subsystem 1 comprises a first camera 9, the first camera 9 is electrically connected with a face picture collecting unit 10, the face picture collecting unit 10 collects the picture shot by the first camera 9 and transmits the picture to a picture processing unit 11 through a network for modification so that the picture becomes clearer, the face picture collecting unit 10 is electrically connected with the picture processing unit 11, the picture processing unit 11 is electrically connected with a face information collecting control system 12, the face information collecting control system 12 analyzes and judges the modified picture and finally displays the picture in a face information display unit 16 and simultaneously stores the picture in a face information storage unit 17, the face information collecting control system 12 is electrically connected with a face information comparison unit 13 in an input mode, the face information comparison unit 13 is electrically connected with a face information identification unit 14 in an input mode, the face information identification unit 14 is electrically input and connected with the face information search unit 15, police officers input and retrieve faces of suspicious persons through the face information search unit 15, after identification and authentication of the face information identification unit 14, effective and complete faces of the suspicious persons are transmitted to the face information comparison unit 13, the face information comparison unit 13 compares the input faces with previously stored face information data, the face information acquisition control system 12 is electrically output and connected with the face information display unit 16 and the face information storage unit 17, the face information storage unit 17 is electrically input and connected with the face information management unit 18, the face information management unit 18 comprises a data modification unit, a data deletion unit and a data addition unit, and by modifying, deleting repeated data and adding data of error data stored in the face information storage unit 17, the integrity and the accuracy of the data in the face information storage unit 17 are effectively improved;
the vehicle information acquisition subsystem 3 comprises a second camera 19, the second camera 19 is electrically connected with a snapshot unit 20 in an output mode, so that the type and the license plate number of a target vehicle can be acquired conveniently, the snapshot unit 20 is electrically connected with a vehicle information acquisition control system 21 in an output mode, the vehicle information acquisition control system 21 is electrically connected with a map unit 22 and a vehicle information query unit 23 in an input mode, the map unit 22 is electrically connected with a vehicle positioning unit 24 in an input mode, the vehicle positioning unit 24 is used for positioning a suspicious vehicle in real time, the map unit 22 is used for downloading and displaying a real-time map of the location of the suspicious vehicle, so that police officers can know the movement route of the suspicious vehicle conveniently, and the vehicle information acquisition control system 21 is respectively electrically connected with a vehicle information storage unit 25 and a vehicle;
the alarm subsystem 8 comprises a data receiving unit 27, the data receiving unit 27 is electrically connected with a data processing unit 28, the data processing unit 28 is electrically connected with an alarm control system 29, the data receiving unit 27 receives data information judged and processed by the central processing unit 5 and transmits the data information to the data processing unit 28 through a communication network, the data processing unit 28 converts received analog signals into digital signals and transmits the digital signals to the alarm control system 29, the alarm control system 29 is electrically input and connected with a data parameter comparison unit 30, the alarm control system 29 is respectively and electrically output and connected with an alarm data storage unit 31 and a control unit 32, the control unit 32 is electrically output and connected with an alarm 33, the alarm data storage unit 31 is electrically output and connected with a printing unit 34, the alarm control system 29 compares and judges the received data with the value set in the data parameter comparison unit 30, after the judgment, the data is stored in the alarm data storage unit 31 and can be printed out through the printing unit 34, so that the police can read the data conveniently, if the alarm control system 29 has the condition of comparing and judging the excess value, the alarm control system 29 sends a signal to start the control unit 32 to enable the alarm 33 to send out an alarm, the total collection score is personnel collection score information + vehicle collection score information + Mac collection score information, the alarm 33 comprises a group of red light emitting diodes and a group of buzzers, when the total collection score is larger than or equal to 90, the control unit 32 controls the red light emitting diodes to flash, the buzzers do not respond and generate early warning, when the total collection score is larger than or equal to 150, the control unit 32 controls the red light emitting diodes to be on long, the buzzers work to generate sound and generate warning, when the single content exceeds the warning threshold value, the warning information can be generated, so that the police can confirm the suspect conveniently, the case solving efficiency of police officers is improved;
the first camera 9 comprises one or more of an infrared camera, a night vision camera, an explosion-proof camera and a waterproof camera, and the outer wall of the first camera 9 is connected with a GPS (global positioning system) positioner through a USB (universal serial bus) interface, so that police officers can conveniently collect the face hole of a criminal suspect and the location of the criminal suspect during collection;
the image processing unit 11 comprises a column zooming unit and a row zooming unit, wherein the column zooming module zooms input image data in the horizontal direction, the vertical effective area of the column zooming module is unchanged, the horizontal effective area is changed into the required display width, the row zooming module zooms the input image data in the vertical direction, the horizontal effective area of the column zooming module is unchanged, the vertical effective area is changed into the required display height, the image definition is improved conveniently, and the image is convenient to view;
the second camera 19 is a zoom camera, and a universal joint is arranged on the outer wall of the second camera 19, so that the information of the vehicle can be conveniently and clearly acquired by rotating the zoom camera;
the vehicle information inquiry unit 23 includes license plate number inquiry, vehicle number inquiry and vehicle type inquiry, and is convenient for police officers to quickly inquire vehicle information.
The embodiment also provides a use method of the collective-separate model for human-vehicle object identification and control, which comprises the following steps:
s1: firstly, a picture shot by a first camera 9 is collected through a face picture collecting unit 10, the picture is transmitted to a picture processing unit 11 through a network to be modified, the picture is clearer, the accuracy of collecting face data is further improved, a second camera 19 is electrically output and connected with a snapshot unit 20, the type and the license plate number of a target vehicle are convenient to collect, an MAC (media access control) address in a mobile phone bound by a vehicle owner is collected through a mobile phone MAC information collecting unit 4, the collected face data, the collected license plate data and the collected mobile phone Mac address data are collided and associated through an algorithm model unit 2, the relation of the person, the vehicle and the object is presumed, and a binding relation is formed;
s2: the algorithm model unit 2 conjectures the data relation of the collected people, vehicles and things, and transmits the conjecture to the central processing unit 5 through the network, the central processing unit 5 carries out the set-division accounting and comprehensive judgment set-division on the characteristics of the people, vehicles and things, and the data processed by the central processing unit 5 is stored in the data storage unit 6 and displayed through the data display unit 7;
s3: when the total collection value is larger than or equal to 150 minutes, the control unit 32 controls the red light emitting diode to be on and off, the buzzer works to generate a sound to generate an alarm, when the single content exceeds the alarm threshold value, the alarm information can be generated, the police officers can conveniently confirm criminal suspects, and the case solving efficiency of the police officers is improved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a collection of people's car thing discernment institute accuse divides model, includes face information acquisition subsystem (1) that is used for face data collection, its characterized in that: the human face information acquisition subsystem (1) is electrically connected with the algorithm model unit (2) for data association and binding relationship in an output mode, the algorithm model unit (2) is electrically connected with the vehicle information acquisition subsystem (3) for vehicle data collection and the mobile phone MAC information acquisition unit (4) for mobile phone data collection in an input mode, the algorithm model unit (2) is electrically connected with the central processing unit (5) for data analysis and judgment in an output mode, and the central processing unit (5) is electrically connected with the data storage unit (6) for data storage and maintenance, the data display unit (7) for data display and the alarm subsystem (8) for alarm reminding in an output mode.
2. The centralized classification model for human-vehicle object identification and control as claimed in claim 1, wherein: the face information acquisition subsystem (1) comprises a first camera (9), the first camera (9) is electrically connected with a face picture acquisition unit (10) in an output mode, the face picture acquisition unit (10) is electrically connected with a picture processing unit (11) in an output mode, the picture processing unit (11) is electrically connected with the face information acquisition control system (12) in an output mode, the face information acquisition control system (12) is electrically connected with the face information comparison unit (13) in an input mode, the face information comparison unit (13) is electrically connected with the face information identification unit (14) in an input mode, the face information identification unit (14) is electrically connected with the face information search unit (15) in an input mode, the face information acquisition control system (12) is electrically connected with the face information display unit (16) and the face information storage unit (17) in an output mode, and the face information storage unit (17) is electrically connected with the face information management unit (18) in an input mode.
3. The centralized classification model for human-vehicle object identification and control as claimed in claim 1, wherein: the vehicle information acquisition subsystem (3) comprises a second camera (19), the second camera (19) is electrically connected with the snapshot unit (20) in an output mode, the snapshot unit (20) is electrically connected with the vehicle information acquisition control system (21) in an output mode, the vehicle information acquisition control system (21) is electrically connected with the map unit (22) and the vehicle information inquiry unit (23) in an input mode, the map unit (22) is electrically connected with the vehicle positioning unit (24) in an input mode, and the vehicle information acquisition control system (21) is electrically connected with the vehicle information storage unit (25) and the vehicle information display unit (26) in an output mode.
4. The centralized classification model for human-vehicle object identification and control as claimed in claim 1, wherein: alarm subsystem (8) are including data receiving element (27), data receiving element (27) electrical output connects data processing unit (28), data processing unit (28) electrical output connects alarm control system (29), alarm control system (29) electrical input connects data parameter contrast unit (30), alarm control system (29) electrical output connects alarm data memory cell (31) and control unit (32), and control unit (32) electrical output connects alarm (33), alarm data memory cell (31) electrical output connects printing element (34).
5. The centralized classification model for human-vehicle object identification and control as claimed in claim 2, wherein: the face information management unit (18) includes a data modification unit, a data deletion unit, and a data addition unit.
6. The centralized classification model for human-vehicle object identification and control as claimed in claim 2, wherein: first camera (9) include one or more in infrared camera, night vision camera, explosion-proof camera and the waterproof camera, and first camera (9) outer wall has the GPS locator through USB interface connection.
7. The centralized classification model for human-vehicle object identification and control as claimed in claim 2, wherein: the picture processing unit (11) comprises a column scaling unit and a row scaling unit.
8. The centralized classification model for human-vehicle object identification and control as claimed in claim 3, wherein: the second camera (19) is a zoom camera, and a universal joint is installed on the outer wall of the second camera (19).
9. The centralized classification model for human-vehicle object identification and control as claimed in claim 3, wherein: the vehicle information inquiry unit (23) includes a license plate number inquiry, a vehicle number inquiry and a vehicle type inquiry.
10. A use method of a collective-separate model for human-vehicle object identification and control is characterized by comprising the following steps:
s1: firstly, collision and association are carried out on collected face data, license plate data and mobile phone Mac address data through an algorithm model unit (2), and the relation of the face data, the license plate data and the mobile phone Mac address data is presumed to form a binding relation;
s2: then, carrying out set-division accounting on the characteristics of the vehicles and the objects through the central processing unit (5), comprehensively judging set division, storing the data processed by the central processing unit (5) in the data storage unit (6), and displaying the data through the data display unit (7);
s3: when the total collection value is larger than or equal to 150 minutes, the control unit (32) controls the red light emitting diode to be bright, the buzzer works to emit sound to generate an alarm, when the single content exceeds an alarm threshold value, the alarm information can be generated, police officers can conveniently confirm criminal suspects, and the accident breaking efficiency of the police officers is improved.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810932054.XA CN110837753A (en) | 2018-08-16 | 2018-08-16 | Collective and separate model for human-vehicle object identification and control and use method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810932054.XA CN110837753A (en) | 2018-08-16 | 2018-08-16 | Collective and separate model for human-vehicle object identification and control and use method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110837753A true CN110837753A (en) | 2020-02-25 |
Family
ID=69573153
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810932054.XA Pending CN110837753A (en) | 2018-08-16 | 2018-08-16 | Collective and separate model for human-vehicle object identification and control and use method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110837753A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111369751A (en) * | 2019-03-20 | 2020-07-03 | 杭州海康威视系统技术有限公司 | Target control method, device, server and control system |
| CN112637548A (en) * | 2020-11-12 | 2021-04-09 | 佳都新太科技股份有限公司 | Information association early warning method and device based on camera |
| CN113158927A (en) * | 2021-04-27 | 2021-07-23 | 深圳前海中电慧安科技有限公司 | Man-vehicle information correlation method, system, device and medium in vehicle driving scene |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080309345A1 (en) * | 2003-10-14 | 2008-12-18 | Rudolf Zeller | Tracking Positions of Personnel, Vehicles, and Inanimate Objects |
| CN105790955A (en) * | 2016-04-06 | 2016-07-20 | 深圳市博康智能信息技术有限公司 | Method and system for associating MAC addresses with face information |
| CN106781581A (en) * | 2016-11-29 | 2017-05-31 | 深圳职业技术学院 | Safe driving behavior monitoring early warning system and method based on the coupling of people's car |
| CN106960349A (en) * | 2017-04-28 | 2017-07-18 | 美载（厦门）网络科技有限公司 | A kind of public transport recognition of face Zhi Fuyu security protection control systems |
| CN107292517A (en) * | 2017-06-20 | 2017-10-24 | 科技谷（厦门）信息技术有限公司 | The civil aviaton's security information service system analyzed based on big data |
| CN107948341A (en) * | 2017-11-30 | 2018-04-20 | 杭州中奥科技有限公司 | MAC Address matching process and device |
| CN108366342A (en) * | 2018-03-12 | 2018-08-03 | 宁波亿拍客网络科技有限公司 | A kind of perception information correlating method |
-
2018
- 2018-08-16 CN CN201810932054.XA patent/CN110837753A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080309345A1 (en) * | 2003-10-14 | 2008-12-18 | Rudolf Zeller | Tracking Positions of Personnel, Vehicles, and Inanimate Objects |
| CN105790955A (en) * | 2016-04-06 | 2016-07-20 | 深圳市博康智能信息技术有限公司 | Method and system for associating MAC addresses with face information |
| CN106781581A (en) * | 2016-11-29 | 2017-05-31 | 深圳职业技术学院 | Safe driving behavior monitoring early warning system and method based on the coupling of people's car |
| CN106960349A (en) * | 2017-04-28 | 2017-07-18 | 美载（厦门）网络科技有限公司 | A kind of public transport recognition of face Zhi Fuyu security protection control systems |
| CN107292517A (en) * | 2017-06-20 | 2017-10-24 | 科技谷（厦门）信息技术有限公司 | The civil aviaton's security information service system analyzed based on big data |
| CN107948341A (en) * | 2017-11-30 | 2018-04-20 | 杭州中奥科技有限公司 | MAC Address matching process and device |
| CN108366342A (en) * | 2018-03-12 | 2018-08-03 | 宁波亿拍客网络科技有限公司 | A kind of perception information correlating method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111369751A (en) * | 2019-03-20 | 2020-07-03 | 杭州海康威视系统技术有限公司 | Target control method, device, server and control system |
| CN112637548A (en) * | 2020-11-12 | 2021-04-09 | 佳都新太科技股份有限公司 | Information association early warning method and device based on camera |
| CN112637548B (en) * | 2020-11-12 | 2023-11-24 | 佳都科技集团股份有限公司 | Information association early warning method and device based on camera |
| CN113158927A (en) * | 2021-04-27 | 2021-07-23 | 深圳前海中电慧安科技有限公司 | Man-vehicle information correlation method, system, device and medium in vehicle driving scene |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10977917B2 (en) | Surveillance camera system and surveillance method | |
| US10789840B2 (en) | Systems, apparatuses and methods for detecting driving behavior and triggering actions based on detected driving behavior | |
| CN109598885B (en) | Monitoring system and alarm method thereof | |
| CN202077142U (en) | Vehicle-mounted intelligent video detecting and analyzing system | |
| US20220358769A1 (en) | Vehicle monitoring system and vehicle monitoring method | |
| US10997430B1 (en) | Dangerous driver detection and response system | |
| US20140334684A1 (en) | System and method for neighborhood-scale vehicle monitoring | |
| CN103294775B (en) | Police service cloud image recognition vehicle administrating system based on geographic space-time constraint | |
| CN204117361U (en) | Based on the Intelligent Parking Peccancy Monitoring System of 360 degree of panoramic cameras | |
| CN110781798B (en) | Vehicle-mounted suspect locking system based on raspberry group and face recognition | |
| CN103544481A (en) | Road gate monitoring method and system based on human face recognition | |
| JP2005159691A (en) | Supervisory system | |
| CN110619277A (en) | Multi-community intelligent deployment and control method and system | |
| CN111353369B (en) | Application method and system of urban road side parking high-level video in auxiliary criminal investigation | |
| CN110837753A (en) | Collective and separate model for human-vehicle object identification and control and use method thereof | |
| JP2020187781A (en) | Information processing apparatus, information processing method, and program | |
| CN104527570A (en) | Vehicle anti-theft system based on panoramic picture | |
| CN114358980A (en) | Intelligent community property management system and method based on Internet of things | |
| CN209312052U (en) | A kind of carry-on police system of recognition of face | |
| CN103646549A (en) | Intelligent Skynet system | |
| CN114170272A (en) | Accident reporting and storing method based on sensing sensor in cloud environment | |
| CN106571041A (en) | Intelligent skynet system | |
| CN113870551A (en) | Roadside monitoring system capable of identifying dangerous and non-dangerous driving behaviors | |
| CN104408930B (en) | A kind of continuous make a dash across the red light warning system and method | |
| KR101686851B1 (en) | Integrated control system using cctv camera |
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 |
Application publication date: 20200225 |
|
| RJ01 | Rejection of invention patent application after publication |