CN108334829A - A kind of mobilism car passenger number statistical system - Google Patents
A kind of mobilism car passenger number statistical system Download PDFInfo
- Publication number
- CN108334829A CN108334829A CN201810066099.3A CN201810066099A CN108334829A CN 108334829 A CN108334829 A CN 108334829A CN 201810066099 A CN201810066099 A CN 201810066099A CN 108334829 A CN108334829 A CN 108334829A
- Authority
- CN
- China
- Prior art keywords
- passenger
- car
- camera
- information
- face
- 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
- 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
- G06M—COUNTING MECHANISMS; COUNTING OF OBJECTS NOT OTHERWISE PROVIDED FOR
- G06M1/00—Design features of general application
- G06M1/27—Design features of general application for representing the result of count in the form of electric signals, e.g. by sensing markings on the counter drum
- G06M1/272—Design features of general application for representing the result of count in the form of electric signals, e.g. by sensing markings on the counter drum using photoelectric means
-
- 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
- G06V40/20—Movements or behaviour, e.g. gesture recognition
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Social Psychology (AREA)
- Image Analysis (AREA)
Abstract
The present invention relates to a kind of mobilism car passenger number statistical systems, for counting the number in car, the car includes the passenger train passage for upper and lower passenger, the passenger train passage is equipped with face acquisition equipment and track judgment means, the face acquisition equipment is used to capture the human face image information of the passenger by passenger train passage, and the track judgment means are used to judge the movement locus of the passenger by the passenger train passage;It is real-time to grasp number of people in car, it is more objective reliable compared to by way of identity scanning, and meanwhile by two monitoring devices raising precision, while ensureing the real-time and reliability of detection, ensure detection controllable safety, effectively avoids the behaviors such as solicit patrons in violation of rules and regulations or overload behavior.
Description
Technical field
The present invention relates to car intelligence systems, more specifically to a kind of mobilism car passenger number statistical system.
Background technology
9 people or more (including operating seat) are taken, generally there is rectangular compartment, for carrying passenger and its with oneself
The commercial car of luggage, this kind of vehicle is mainly used for public transport and group's transport uses.Car has single layer, also there is bilayer;
Have hinged, also there is drawbar trailer type.There are two, single-door, or has luggage compartment.Most cars use Diesel Driven,
Also there are pure electric vehicle, all-metal body at present.The consumed energy and shared path area are calculated according to number of passengers, it is public
For vehicular traffic than personal vehicles economy, this is one of the main reason for many countries first develop public transport car.From generation
For boundary's range, car manufacturing and universal than wide, therefore as the Coach Manufacture of public transport main body, either from setting
Meter theory or designing technique all show quite maturation, and European Bus Technology level and the capacity of scientific research occupy first place in the world.In
The designed capacity and manufacture level of state's Bus Industry, occupy important position in the world.
And passenger car system is recorded separately through camera at present, to objective occupant and can not be got on and off
Situation plays an effect accurately counted, relatively low to data time shelves ability, causes subsequently to the expansion work(of car real time monitoring
It can not implement.
Invention content
In view of this, it is an object of the present invention to provide a kind of mobilism car passenger number statistical systems, to solve the above problems.
In order to solve the above-mentioned technical problem, the technical scheme is that:
A kind of mobilism car passenger number statistical system, for counting the number in car, the car includes for up and down
The passenger train passage of passenger, the passenger train passage are equipped with face acquisition equipment and track judgment means, the face capture dress
The human face image information for capturing the passenger for passing through passenger train passage is set, the track judgment means pass through the visitor for judging
The movement locus of the passenger of vehicle passage;
The face acquisition equipment and the track judgment means are all connected to a statistical server, the statistical server
Configured with image procossing strategy and demographics strategy, described image processing strategy includes face capture substrategy and track
Judge substrategy;
The face acquisition equipment includes the first camera, and first camera is used to acquire the first image information,
The face capture substrategy includes obtaining described first image information, by face acquisition algorithm in described first image information
Middle capture face characteristic, and taken corresponding benchmark face information storage to the statistics is generated according to the face characteristic captured
Business device, and passenger's identification code is exported to the track judgment means, according to the face characteristic captured in described first image
Situation of change in information exports the first passenger moving trace information;The first passenger moving trace information includes first state
Data, get on the bus action, get off action and holding of the first state data configuration act three output results;
The track judgment means include second camera, and the second camera is for acquiring the second image information, institute
It states track and judges that substrategy includes according to the relative pose relationship of first camera and second camera in second figure
Region as determining passenger in information, by the target tracking algorism according to corresponding passenger to generate passenger moving information,
By passenger's identification code and the passenger moving information matches to obtain the second passenger moving trace information;The second passenger fortune
Dynamic rail mark information includes the second status data, and second status data is configured with upper car state, lower car state and shape by bus
Three output results of state;
The demographics strategy includes one vehicle occupant's numerical value of configuration, when arbitrary first passenger moving trace information exports
It gets on the bus and acts and in the output of corresponding second passenger moving trace information when car state, vehicle occupant's numerical value adds 1, when arbitrary
The output of first passenger moving trace information, which is got off, to be acted and under the output of corresponding second passenger moving trace information when car state, institute
It states vehicle occupant's numerical value and subtracts 1.
Further:First camera is got off camera including the first camera and first of getting on the bus, on described first
Vehicle camera is arranged towards car door, and the described first camera of getting off is arranged backwards to the car door;
Described first gets on the bus camera configured with the first upper limit threshold and the first lower threshold, gets on the bus when by described first
The face characteristic of camera capture accounts for the ratio in described first image information and increases and when more than the first upper limit threshold, change this
The corresponding first state data of passenger are to get on the bus action, when accounting for described the by the described first face characteristic that camera captures of getting on the bus
Ratio in one image information reduces and when more than the first lower threshold, changes the corresponding first state data of the passenger to get off
Action;
Described first gets off camera configured with the second upper limit threshold and the second lower threshold, gets off when by described first
The face characteristic of camera capture accounts for the ratio in described first image information and increases and when more than the second upper limit threshold, change this
The corresponding first state data of passenger are to get off action, capture face characteristic when by the described first camera of getting off and account for described first
Ratio in image information reduces and when more than the first lower threshold, and it is dynamic to get on the bus to change the corresponding first state data of the passenger
Make.
Further:The car is provided with several second cameras, and the track judgment means are configured with image mosaic
Strategy, described image splicing strategy are given birth to according to the relative pose relationship of each second camera and the image information of acquisition
At second image information.
Further:Further include statistics backstage, the statistics backstage is set to the car terminus, when the car arrives
When up to the car terminus, the statistical server uploads face characteristic and corresponding passenger coding.
Further:When the car reaches the car terminus, the first image of the statistical server upload
Information and the second image information.
Further:When the car reaches the car terminus, the face is removed from the statistical server
Feature and corresponding passenger coding.
The technology of the present invention effect major embodiment is in the following areas:Number of people in car is grasped in real time, compared to what is scanned by identity
Mode is more objective reliable, while improving precision by two monitoring devices, while ensureing the real-time and reliability of detection, protects
Card detection controllable safety effectively avoids the behaviors such as solicit patrons in violation of rules and regulations or overload behavior.
Description of the drawings
Fig. 1:The module rack composition of the mobilism car passenger number statistical system of the present invention.
Specific implementation mode
Below in conjunction with attached drawing, the specific implementation mode of the present invention is described in further detail, so that technical solution of the present invention is more
It should be readily appreciated that and grasp.
Shown in referring to Fig.1, a kind of mobilism car passenger number statistical system, for counting the number in car, the car
Include the passenger train passage for upper and lower passenger, the passenger train passage is equipped with face acquisition equipment and track judgment means, institute
Human face image information of the face acquisition equipment for capturing the passenger for passing through passenger train passage is stated, the track judgment means are for sentencing
The movement locus of the disconnected passenger by the passenger train passage;The composition of car general first includes the passenger train passage of upper and lower passenger
And interior space, passenger pass in and out interior space by passenger train passage, so only passing through passenger train passage with statistics in principle
Number and the people be to leave or into the car, so that it may with number of people in car information to the end.
The face acquisition equipment and the track judgment means are all connected to a statistical server, the statistical server
Configured with image procossing strategy and demographics strategy, described image processing strategy includes face capture substrategy and track
Judge substrategy;And include two contents to the statistics of number, it is necessary first to navigate to the position of each passenger, then basis
The position of each passenger navigated into line trace, judge the behavior act of each passenger and got on the bus with to judge passenger or
It gets off, to be counted to number, in order to ensure that the accuracy calculated, two devices of setting are judged, improves precision.
First, the face acquisition equipment includes the first camera, and first camera is for acquiring the first image
Information, the face capture substrategy includes obtaining described first image information, by face acquisition algorithm in first figure
As capturing face characteristic in information, and corresponding benchmark face information storage will be generated to described according to the face characteristic captured
Statistical server, and export passenger's identification code to the track judgment means, according to the face characteristic captured described the
Situation of change in one image information exports the first passenger moving trace information;The first passenger moving trace information includes the
One status data, get on the bus action, get off action and holding of the first state data configuration act three output results;Institute
It states the first camera to get off camera including the first camera and first of getting on the bus, the described first camera of getting on the bus is set towards car door
It sets, the described first camera of getting off is arranged backwards to the car door;Described first get on the bus camera configured with the first upper limit threshold with
And first lower threshold, when being accounted for the ratio in described first image information by the face characteristic that described first gets on the bus camera capture
Increase and when more than the first upper limit threshold, changes the corresponding first state data of the passenger for action of getting on the bus, when by described first
The face characteristic of camera of getting on the bus capture accounts for the ratio in described first image information and reduces and when more than the first lower threshold, more
It is action of getting off to change the corresponding first state data of the passenger;Described first get off camera configured with the second upper limit threshold and
Second lower threshold, when the ratio accounted in described first image information by the face characteristic that described first gets off camera capture increases
Add and when more than the second upper limit threshold, it is action of getting off to change the corresponding first state data of the passenger, under by described first
Vehicle camera capture face characteristic accounts for the ratio in described first image information and reduces and when more than the first lower threshold, change this
The corresponding first state data of passenger are action of getting on the bus.First, the set-up mode of the first camera is according to actual passenger train passage
Position setting, it is different with the direction of passenger when lower visitor when due to upper visitor, so setting first is needed to get on the bus camera and first
Camera get off to guarantee from two-way capture face, meanwhile, it needs to judge that it is according to patrolling to get on the bus and get off in this way
Volume judge, such as the first camera of getting on the bus captures face, face from the distant to the near, then illustrates that people gets on the bus, face by close and
Far, illustrate that people gets off, thus judge face in the image that the first image information is presented proportion it may determine that
Whether into the car, for example, if face increases over 20 percent in the first image information, then illustrate that the passenger enters
Car can so export judgement signal.Face is less than 20 percent, then illustrates not get on the bus also, judges more
It is simple and easy.
The track judgment means include second camera, and the second camera is for acquiring the second image information, institute
It states track and judges that substrategy includes according to the relative pose relationship of first camera and second camera in second figure
Region as determining passenger in information, by the target tracking algorism according to corresponding passenger to generate passenger moving information,
By passenger's identification code and the passenger moving information matches to obtain the second passenger moving trace information;The second passenger fortune
Dynamic rail mark information includes the second status data, and second status data is configured with upper car state, lower car state and shape by bus
Three output results of state;The car is provided with several second cameras, and the track judgment means are configured with image mosaic plan
Slightly, described image splicing strategy is generated according to the relative pose relationship of each second camera and the image information of acquisition
Second image information.Second camera is arranged merging algorithm for images and is used for stitching image, since car area may be larger,
So merging algorithm for images calculates car entire area, the effect of an image mosaic is played, can be obtained by entire vehicle in this way
Interior look down on the rendering, and due to the position of passway it is known that can be found according to the result that the first camera acquires each
The corresponding position of passenger, so, movement of the passenger in compartment can correspond to the identity information of passenger, can improve
Safety, while whether second camera can leave car by monitoring passenger or enter car to auxiliary judgment passenger's row
For.
Face recognition algorithms and be the more mature technology of image processing field to the target tracking algorithm of known segment,
This will not be repeated here.
The demographics strategy includes one vehicle occupant's numerical value of configuration, when arbitrary first passenger moving trace information exports
It gets on the bus and acts and in the output of corresponding second passenger moving trace information when car state, vehicle occupant's numerical value adds 1, when arbitrary
The output of first passenger moving trace information, which is got off, to be acted and under the output of corresponding second passenger moving trace information when car state, institute
It states vehicle occupant's numerical value and subtracts 1.It is arranged in this way, so that it may to count number of people in car, and be monitored respectively by two devices, ensure prison
Effect is controlled, the accuracy of statistics is improved.
Further include statistics backstage, the statistics backstage is set to the car terminus, when the car reaches the visitor
When vehicle terminus, the statistical server uploads face characteristic and corresponding passenger coding.When the car reaches the visitor
When vehicle terminus, the first image information and the second image information that the statistical server uploads.When the car reaches institute
When stating car terminus, the face characteristic and corresponding passenger coding are removed from the statistical server.After statistics
The setting of platform ensures the recycling of data, improves reliability and the safety of statistics.
Certainly, the representative instance of the above only present invention, in addition to this, the present invention can also have other a variety of specific implementations
Mode, all technical solutions formed using equivalent substitution or equivalent transformation, is all fallen within the scope of protection of present invention.
Claims (6)
1. a kind of mobilism car passenger number statistical system, for counting the number in car, the car includes for upper inferior
The passenger train passage of visitor, which is characterized in that the passenger train passage is equipped with face acquisition equipment and track judgment means, the people
Face acquisition equipment is used to capture the human face image information of the passenger by passenger train passage, and the track judgment means are passed through for judging
Cross the movement locus of the passenger of the passenger train passage;
The face acquisition equipment and the track judgment means are all connected to a statistical server, the statistical server configuration
It includes that face capture substrategy and track judge to have image procossing strategy and demographics strategy, described image processing strategy
Substrategy;
The face acquisition equipment includes the first camera, and first camera is described for acquiring the first image information
It includes obtaining described first image information that face, which captures substrategy, is caught in described first image information by face acquisition algorithm
Face characteristic is obtained, and corresponding benchmark face information storage will be generated to the statistical fractals according to the face characteristic captured
Device, and passenger's identification code is exported to the track judgment means, believed in described first image according to the face characteristic captured
Situation of change in breath exports the first passenger moving trace information;The first passenger moving trace information includes first state number
According to, the first state data configuration get on the bus action, get off action and holding acts three output results;
The track judgment means include second camera, and the second camera is for acquiring the second image information, the rail
Mark judges that substrategy includes believing in second image according to the relative pose relationship of first camera and second camera
The region that passenger is determined in breath, by the target tracking algorism according to corresponding passenger to generate passenger moving information, by this
Passenger's identification code is with the passenger moving information matches to obtain the second passenger moving trace information;The second passenger moving rail
Mark information includes the second status data, and second status data is configured with upper car state, lower car state and state three by bus
A output result;
The demographics strategy includes one vehicle occupant's numerical value of configuration, when the output of arbitrary first passenger moving trace information is got on the bus
When action and corresponding second passenger moving trace information export above car state, vehicle occupant's numerical value adds 1, when arbitrary first
The output of passenger moving trace information, which is got off, to be acted and under the output of corresponding second passenger moving trace information when car state, the vehicle
Interior number value subtracts 1.
2. a kind of mobilism car passenger number statistical system as described in claim 1, it is characterised in that:The first camera packet
It includes the first camera and first of getting on the bus to get off camera, the described first camera of getting on the bus is arranged towards car door, and described first gets off
Camera is arranged backwards to the car door;
Described first camera of getting on the bus is configured with the first upper limit threshold and the first lower threshold, gets on the bus camera shooting when by described first
The face characteristic of head capture accounts for the ratio in described first image information and increases and when more than the first upper limit threshold, change the passenger
Corresponding first state data are to get on the bus action, when accounting for first figure by the described first face characteristic that camera captures of getting on the bus
When as the ratio reduction in information and more than the first lower threshold, it is dynamic to get off to change the corresponding first state data of the passenger
Make;
Described first camera of getting off is configured with the second upper limit threshold and the second lower threshold, gets off camera shooting when by described first
The face characteristic of head capture accounts for the ratio in described first image information and increases and when more than the second upper limit threshold, change the passenger
Corresponding first state data are to get off action, capture face characteristic when by the described first camera of getting off and account for described first image
Ratio in information reduces and when more than the first lower threshold, changes the corresponding first state data of the passenger as action of getting on the bus.
3. a kind of mobilism car passenger number statistical system as described in claim 1, it is characterised in that:If the car is provided with
Dry second camera, the track judgment means are configured with image mosaic strategy, and described image splicing strategy is according to each described
The relative pose relationship of second camera and the image information of acquisition generate second image information.
4. a kind of mobilism car passenger number statistical system as described in claim 1, it is characterised in that:Further include statistics backstage,
The statistics backstage is set to the car terminus, when the car reaches the car terminus, the statistical fractals
Device uploads face characteristic and corresponding passenger coding.
5. a kind of mobilism car passenger number statistical system as claimed in claim 4, it is characterised in that:When the car reaches institute
When stating car terminus, the first image information and the second image information that the statistical server uploads.
6. a kind of mobilism car passenger number statistical system as claimed in claim 4, it is characterised in that:When the car reaches institute
When stating car terminus, the face characteristic and corresponding passenger coding are removed from the statistical server.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810066099.3A CN108334829B (en) | 2018-01-23 | 2018-01-23 | Dynamic passenger car number counting system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810066099.3A CN108334829B (en) | 2018-01-23 | 2018-01-23 | Dynamic passenger car number counting system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108334829A true CN108334829A (en) | 2018-07-27 |
CN108334829B CN108334829B (en) | 2021-08-06 |
Family
ID=62925401
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810066099.3A Active CN108334829B (en) | 2018-01-23 | 2018-01-23 | Dynamic passenger car number counting system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108334829B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114604291A (en) * | 2020-12-04 | 2022-06-10 | 深圳市奥拓电子股份有限公司 | Display screen-based passenger flow guiding method and display control system |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101847265A (en) * | 2010-04-20 | 2010-09-29 | 上海理工大学 | Method for extracting moving objects and partitioning multiple objects used in bus passenger flow statistical system |
CN102855475A (en) * | 2012-09-17 | 2013-01-02 | 广州杰赛科技股份有限公司 | School bus monitoring method and school bus monitoring system |
CN103065379A (en) * | 2012-10-25 | 2013-04-24 | 北京腾逸科技发展有限公司 | Intelligent video passenger-flow analyzing method and system |
CN103971103A (en) * | 2014-05-23 | 2014-08-06 | 西安电子科技大学宁波信息技术研究院 | People counting system |
CN104581081A (en) * | 2015-01-26 | 2015-04-29 | 成都美联微智科技有限公司 | Passenger-flow analysis method based on video information |
CN106529787A (en) * | 2016-11-02 | 2017-03-22 | 南京国电南自轨道交通工程有限公司 | Subway energy management system based on face detection technology |
CN107330386A (en) * | 2017-06-21 | 2017-11-07 | 厦门中控智慧信息技术有限公司 | A kind of people flow rate statistical method and terminal device |
US9848112B2 (en) * | 2014-07-01 | 2017-12-19 | Brain Corporation | Optical detection apparatus and methods |
-
2018
- 2018-01-23 CN CN201810066099.3A patent/CN108334829B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101847265A (en) * | 2010-04-20 | 2010-09-29 | 上海理工大学 | Method for extracting moving objects and partitioning multiple objects used in bus passenger flow statistical system |
CN102855475A (en) * | 2012-09-17 | 2013-01-02 | 广州杰赛科技股份有限公司 | School bus monitoring method and school bus monitoring system |
CN103065379A (en) * | 2012-10-25 | 2013-04-24 | 北京腾逸科技发展有限公司 | Intelligent video passenger-flow analyzing method and system |
CN103971103A (en) * | 2014-05-23 | 2014-08-06 | 西安电子科技大学宁波信息技术研究院 | People counting system |
US9848112B2 (en) * | 2014-07-01 | 2017-12-19 | Brain Corporation | Optical detection apparatus and methods |
CN104581081A (en) * | 2015-01-26 | 2015-04-29 | 成都美联微智科技有限公司 | Passenger-flow analysis method based on video information |
CN106529787A (en) * | 2016-11-02 | 2017-03-22 | 南京国电南自轨道交通工程有限公司 | Subway energy management system based on face detection technology |
CN107330386A (en) * | 2017-06-21 | 2017-11-07 | 厦门中控智慧信息技术有限公司 | A kind of people flow rate statistical method and terminal device |
Non-Patent Citations (4)
Title |
---|
XIANJV WANG 等: "A Passenger Flow Statistic Algorithm Based on Machine Learning", 《2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2017)》 * |
XUEBIN QIN 等: "Application of Automatic statistic Passenger Flowsystem based on Depth Data", 《2016 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL》 * |
査宇锋: "基于HOG和SVM的公交客流量统计技术研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
蔡晓利: "公交车人数统计系统设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114604291A (en) * | 2020-12-04 | 2022-06-10 | 深圳市奥拓电子股份有限公司 | Display screen-based passenger flow guiding method and display control system |
Also Published As
Publication number | Publication date |
---|---|
CN108334829B (en) | 2021-08-06 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Oh et al. | Real-time traffic measurement from single loop inductive signatures | |
WO2021159865A1 (en) | Data calibration-based bus route prediction method and system | |
CN107122747A (en) | A kind of railway carriage state non-contact detection device and method | |
CN106541968B (en) | The recognition methods of the subway carriage real-time prompt system of view-based access control model analysis | |
US7786897B2 (en) | High occupancy vehicle (HOV) lane enforcement | |
CN107911663A (en) | A kind of elevator passenger hazardous act intelligent recognition early warning system based on Computer Vision Detection | |
KR102109647B1 (en) | System for counting ride of public transportation using deep learning and method thereof | |
CN101441813A (en) | Parking ground management system based on image processing | |
CN107123303A (en) | The system and method for radar and smart camera linkage management parking position | |
CN108766028A (en) | Community's parking lot management method | |
CN103295027A (en) | Freight wagon blocking key missing fault identification method based on support vector machine | |
TW201112180A (en) | Driver monitoring system and its method thereof | |
CN114255537A (en) | Intelligent security check gate integrated system and method based on biological recognition | |
CN108960107A (en) | A kind of overcrowding recognition methods of small mini van and device | |
CN109919066B (en) | Method and device for detecting density abnormality of passengers in rail transit carriage | |
CN111942434A (en) | Intelligent fault image detection device for key parts of railway wagon | |
CN108491755A (en) | Bus passenger flow aid decision-making system | |
CN106875696A (en) | The system and method and drive recorder of automatic identification traffic violations illegal activities | |
CN109858456A (en) | A kind of rolling stock status fault analysis system | |
CN108334829A (en) | A kind of mobilism car passenger number statistical system | |
CN114694054A (en) | Bus stop passenger flow statistical method and device, electronic equipment and storage medium | |
CN114333120A (en) | Bus passenger flow detection method and system | |
CN110992678A (en) | Bus passenger flow statistical method based on big data face recognition | |
CN111079488B (en) | Deep learning-based bus passenger flow detection system and method | |
JP2019067210A (en) | Illegal ride detection device |
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 |