CN110400483B - College school bus management method and device based on face recognition and GIS platform - Google Patents
College school bus management method and device based on face recognition and GIS platform Download PDFInfo
- Publication number
- CN110400483B CN110400483B CN201910725792.1A CN201910725792A CN110400483B CN 110400483 B CN110400483 B CN 110400483B CN 201910725792 A CN201910725792 A CN 201910725792A CN 110400483 B CN110400483 B CN 110400483B
- Authority
- CN
- China
- Prior art keywords
- school bus
- school
- current
- information
- driver
- 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
- 238000007726 management method Methods 0.000 title claims abstract description 21
- 238000012544 monitoring process Methods 0.000 claims description 23
- 238000004891 communication Methods 0.000 claims description 20
- 238000005516 engineering process Methods 0.000 claims description 15
- 230000003993 interaction Effects 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 6
- 230000006855 networking Effects 0.000 claims description 5
- 238000004138 cluster model Methods 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 description 4
- 230000007547 defect Effects 0.000 description 4
- 238000012795 verification Methods 0.000 description 4
- 238000013500 data storage Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000007 visual effect Effects 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
- G06Q50/40—Business processes related to the transportation industry
-
- 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
- G06V40/172—Classification, e.g. identification
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Economics (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Radar, Positioning & Navigation (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Remote Sensing (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to a school bus management method and a school bus management device based on face recognition and a GIS platform.
Description
Technical Field
The invention belongs to the technical field of face recognition, and particularly relates to a college school bus management method and device based on face recognition and a GIS platform
Background
In recent years, great safety accidents of school buses in various regions emerge endlessly, and how to solve the problem is a problem that people are keenly concerned about by improving the supervision of school buses and reducing the management cost of school buses. Based on the background, the school bus safety management system based on face recognition is provided, the safety condition inside the school bus is monitored through intelligent visual analysis, an alarm is given to the abnormal condition inside the school bus, the safe driving of the school bus is guaranteed, and meanwhile the labor management cost of the school bus is reduced.
Defect 1 of the prior art: passenger identification is difficult.
Defect 2 of the prior art: personnel overload and passengers walking during the driving of the school bus cannot be monitored.
Defect 3 of the prior art: abnormal states and fatigue driving of school bus drivers cannot be monitored.
Defect 4 of the prior art: the driving track of the school bus cannot be tracked.
Disclosure of Invention
The present invention aims to solve the above problems, and provides a method and a device for managing a school bus based on face recognition and a GIS platform, according to an embodiment of the present invention, the method includes the following steps:
s1, establishing a 5G communication network-based school bus cluster real-time online networking management model;
step S2, detecting whether the personnel waiting for taking the school bus meets the preset conditions based on the face recognition technology, and allowing the personnel to get on the bus only when the preset conditions are met;
step S3, automatically detecting the seat information in the current vehicle, displaying the current seat data in real time through a display module arranged outside the school bus, if the current seat data reach the maximum threshold of personnel, prompting that the vehicle personnel are full, and starting a prompt information display module;
step S4, information interconnection among school buses is achieved through the established school bus cluster model, data interaction is carried out between the school buses and other vehicles in the school bus cluster through the wireless communication module, and the position and seat information of the next school bus passing through the position are displayed in real time through the prompt information display module;
and step S5, judging whether all the persons get on the vehicle, counting the number of the persons who do not get on the vehicle if not, scheduling the vehicles meeting the conditions to wait for the persons to get on the vehicle, and enabling other vehicles to normally go out.
Preferably, the 5G communication network-based school bus cluster real-time online networking management model is established in step S1, specifically, a unified school bus monitoring platform is provided in the school, and data interaction is performed between the platform and each school bus through a 5G transmission technology-based wireless communication module provided in each school bus; the monitoring platform records the information of school bus vehicles which are listed in operation or stop operation each time in real time, so as to judge whether each school bus meets safe driving conditions; the method comprises the steps of storing face image information of a lift man in advance to serve as a standard for judging whether the lift is allowed to get on, wherein the face image information of the lift man comprises driver basic information and common passenger information.
Preferably, the preset condition is that the identity information of the current person is judged through a face recognition technology, whether the current person is a driver or a common passenger is judged, and if the current person is the driver of the current vehicle, whether the driver is the driver of the current vehicle is continuously judged.
Preferably, after the driver is judged to be the driver, the face recognition detection module is started after the driver cab is judged, the state of the driver is detected in real time, whether the current state of the driver meets the driving condition is judged, if yes, the driver is allowed to start the vehicle, otherwise, the driver is refused, and a data request is sent to the monitoring platform through the wireless communication module to reschedule the driver.
Preferably, in step S3, a seat counter collecting module is provided and counts by a sensor provided under each seat, the counter collecting module records the maximum value of the vehicle room when being initialized, and performs subtraction in real time after a person sits down, and displays the current remaining seat data information in real time outside the vehicle in combination with the display module.
Preferably, the step S4 specifically includes, if the current seat data is full, acquiring the remaining seat information of the next school bus passing through the location through a wireless communication mode, sending the current location and the data of the people waiting to get on the bus at the current location to the next school bus based on the GIS technology, after the data interaction is completed, displaying the current location, the time of arrival at the location, and the remaining seat data of the next school bus passing through the location by the external prompt information display module of the currently full school bus, and leaving the current location by the currently full school bus.
Preferably, in the step S5, all school buses record the current identity information and number of the people getting on the bus through a face recognition technology, perform data interaction with the monitoring platform, determine that the current identity information and number recorded in real time are matched with the pre-stored identity information and number of all people getting on the bus, if the data are consistent, all people have got on the bus, otherwise, count the number of people waiting for taking the bus and the current position information, and schedule the qualified school buses to enable all people to take the school buses and arrive at the destination.
According to an embodiment of the present invention, the present invention further provides a school bus management device based on face recognition and a GIS platform, the device including:
the monitoring platform is used for monitoring the running state of each school bus, receiving data sent by each school bus and sending data to each school bus;
the face recognition module is arranged outside each school bus and used for recognizing the identity information of the waiting boarding personnel in real time;
the face recognition detection module is used for detecting whether the state of a driver in the vehicle driving process meets the driving condition in real time and carrying out information interaction with the monitoring platform in real time through the wireless communication module;
the counter acquisition module is used for acquiring seat data information of the current vehicle in real time;
the GIS position module is used for distributing an operation route map to each school bus and recording the current position information of the school bus in real time through the GPS module;
the alarm module is used for judging whether the current car is in danger or not so as to alarm in time;
and the database module is used for storing various personnel identity information and route information.
Drawings
FIG. 1 is a flow chart of a college school bus management method based on face recognition and a GIS platform, which is provided by the invention;
fig. 2 is a frame diagram of a university school bus management device based on face recognition and a GIS platform according to the present invention.
Detailed Description
The present application will now be described in further detail with reference to the drawings, it should be noted that the following detailed description is given for illustrative purposes only and is not to be construed as limiting the scope of the present application, as those skilled in the art will be able to make numerous insubstantial modifications and adaptations to the present application based on the above disclosure.
According to the technical problem to be solved by the invention, the invention provides a college school bus management method based on face recognition and a GIS platform, which comprises the following steps:
s1, establishing a 5G communication network-based school bus cluster real-time online networking management model;
in this embodiment, according to the purpose of the present invention, the monitoring of the moving track or the number of people carried by a single school bus is limited, so how to enable each school bus to work in a linkage manner, and real-time information communication and data interaction become a specific technical means for implementing the present invention. According to the content of the step S1, the college and university school bus cluster mode based on the 5G communication network is established in that the data interaction can be efficiently completed during the operation of each school bus through the high-speed data transmission and interaction of the 5G technology, so as to provide a basic data channel for achieving the purpose of the present invention. In the present invention, the 5G technology is not specifically improved, but the 5G technology is applied to data interaction between school buses, so how to establish school bus clusters becomes one of the inventive contents of the present invention, and each school bus is provided with a wireless communication device to achieve the following purposes:
(1) the school buses of the cluster can be communicated with each other and transmitted through a data network, so that linkage among the school buses is realized;
(2) establishing data transmission between the school bus and the monitoring platform of the colleges and universities, and realizing that the unified monitoring platform carries out ordered and efficient management on the school buses running outside;
(3) the interactivity between the school bus and the personnel is established, the personnel in the embodiment comprise the personnel waiting for getting on the bus and the data interaction of the emergency contact of the vehicle-mounted personnel, and therefore the personnel waiting for the school bus can dynamically know the position and the state of the school bus in real time and the emergency contact can timely and accurately acquire the information of the school bus personnel.
In this embodiment, for the purpose of step S1, first, a unified monitoring platform is established, and a unified dispatching of the school buses is realized through the platform and the 5G wireless communication network, specifically, the monitoring platform is set in a school, each school bus that enters the school newly registers on the platform, and a school bus that exits from the platform also logs off from the platform in time; and secondly, the school buses meet the unified wireless communication protocol to realize mutual information transmission, and no matter which school bus has a problem, the school buses in the optimal path can be helped in a wireless transmission mode. In the field, there are many ways for the technical solution of the vehicle network, and the invention is not particularly limited, but in various technical solutions, there is no way to specifically apply to the school vehicle network, or the specific implementation manner as set forth in the invention.
And S2, constructing a school bus personnel detection mode based on the face recognition technology, so as to judge whether the personnel to be checked meet preset conditions, if so, allowing the personnel to be checked, otherwise, refusing the personnel to be checked, meanwhile, realizing the classification of the personnel based on the face recognition technology, judging whether the personnel is a driver or a common passenger, respectively judging the safety based on the personnel of different classes, and giving corresponding prompts according to the judgment result.
According to the description of the background art of the present invention, an object of the present invention is how to solve the problem of difficulty in identifying the passenger, and step S2 shows such an embodiment, which is described below.
Firstly, aiming at each school bus which is clustered in the step S1, a face recognition device is used for realizing the identity recognition of the personnel to be got on the bus, wherein, a face recognition verification device is arranged at the entrance of a vehicle door to verify the identity of the personnel to be got on the bus, according to the purpose of the invention, the school bus has the particularity, and the personnel getting on the bus also has the regulation, therefore, the recognition verification device is initialized before each time the bus runs, and starts to receive the head image data of the personnel of the monitoring platform to judge whether the personnel belong to the school bus, for the purpose of realizing the step, the invention not only prestores the running data of each school bus, wherein the running data comprises the state of the bus, the number of the license plate, the running route of the current bus, but also stores the image data of all the personnel needing to get on the school bus.
In the stored image data of the person, the person is classified into two categories, the first category is a driver, and the second category is a general passenger. Establishing three types of databases in prestored data, wherein the first type of database is a driver database, and a strict data storage scheme is provided for drivers, and the data storage scheme relates to the age, the driver license information and the driving age information of the drivers; the second type of database is a passenger database, and comprises route information of passengers and basic age and identity information; the third type of database is driving route information, the data is different according to different vehicle driving route information, when the data is stored in advance, a plurality of route maps meeting conditions are set according to the geographical position distribution of the whole passengers, the driving route information is reasonably set based on actual needs or suggestions of the passengers and is not the content to be protected by the invention, according to the purpose of the invention, the driving route only needs to be stored in a platform according to manual setting, and the route is not improved.
For the purpose of step S2, it is determined whether a preset condition is satisfied to decide whether to allow a person to get on the vehicle, where the preset condition is set to determine whether the current person identification information is a driver or a general passenger by a face recognition technique, and if so, to continue to determine whether the driver is the driver of the current vehicle. Therefore, when the driver is judged to be a driver and the driver of the vehicle is judged to be a driver, the driver is allowed to get on the vehicle and is prompted to enter the cab, and when the driver is judged to be the driver identity information, the driver is prompted to enter the vehicle, otherwise, the driver is refused to take the vehicle.
In order to solve the problem that abnormal states and fatigue driving of school bus drivers cannot be monitored, in the step, after the category of personnel is judged, a face recognition detection module is further arranged at the driving position of each school bus and used for detecting the state of the driver in real time, whether the current driver is in fatigue driving or not and other abnormal states is judged through face image information of the driver received by a monitoring platform in real time, sudden diseases or other dangerous conditions of the driver occasionally occur in real environment and danger is possibly caused, therefore, the face image information is collected by a face recognition device in real time and is uploaded to the monitoring platform in time, and background monitoring personnel can find the danger in time and relieve the danger in time through corresponding measures.
And step S3, automatically detecting the seat information in the current vehicle, recording the face image of the sitting person and the corresponding seat information, and displaying the rest seat data of the current vehicle through a display device outside the vehicle. And if the current seat data reaches the maximum threshold value, closing the face recognition verification module, and prompting the personnel to be full of seats at the same time, so that no personnel are allowed to get on the vehicle.
In the step, a counter acquisition device is arranged in the vehicle, and when one person sits on one seat, the counter is automatically reduced by 1, so that the current remaining seat information is recorded, and the data is displayed in a display module outside the vehicle in real time.
Also, for the purposes of the present invention, the method herein includes the process of getting the lift to home while the vehicle is in the initial section, and also includes the process of getting the school bus from the various sections to the school while the lift is getting the school bus to the school. Therefore, when the school bus receives passengers from each road segment, it is also possible that the school bus is full of people before arriving at the destination, and the school bus is full of people when arriving at the destination, and passengers are not getting on, and the school bus starts to move ahead, but provides other vehicle information for the passengers who are not getting on, and the process proceeds to step S4.
Step S4, information interconnection among school buses is achieved through the established school bus cluster model, the position of the current school bus and data of people waiting to take the bus are transmitted to the next school bus passing through the place, meanwhile, the next school bus passing through the place transmits the data of people capable of carrying and the time information predicted to arrive at the place to the current school bus, and after the current school bus information is received, the data are started to be displayed to the people waiting to take the bus in real time on an external display device of the school bus before leaving.
In this embodiment, the purpose of creating the school bus cluster model in step S1 is to enable information communication between each vehicle, and to complete information transmission efficiently and at high speed, whether the current vehicle state is from school, and persons waiting to get on the bus one by one or vehicles go to school from destination, and persons who receive the bus on the way continue to get on the bus, in the former case, the school bus starts after waiting for all persons to get on the bus, and all persons get on the bus will perform face recognition to perform identity authentication, in the second case, in the process of going to the school of the vehicle, each person who gets on the bus needs to perform identity authentication, and at the same time, when the current vehicle leaves, the seat data and position on the next bus and the expected waiting time are displayed in real time to the persons who do not get on the bus, so as to provide real-time data information to the persons who get on the bus.
And step S5, judging whether all the persons get on the bus or not, counting the number of the persons who do not get on the bus if not, scheduling the vehicles meeting the conditions to wait for the persons to get on the bus, and scheduling other vehicles to go out.
In this embodiment, in order to solve the technical problem of the present invention, in the running process of an actual school bus, some lift people delay the sitting time due to busy work or other things, when the school bus leaves a school, the face recognition and verification devices of all vehicles can count the data information of people entering the school bus, so as to count which people do not get on the school bus, and at this time, the school bus with fully seated people is dispatched to leave, and the school bus meeting the number of people not getting on the school bus is dispatched to wait for the passengers to get on the school bus according to the number of actual people. The specific number is counted according to the number of seats remaining of the vehicle, so that which vehicles wait for departure are determined. In order to avoid other passengers waiting too long, the monitoring platform sends information to the people who are not getting on the bus, and the vehicle is dispatched to leave if the people waiting for taking the bus do not wait for the preset time range.
According to another embodiment of the present invention, the present invention further provides a school bus management device based on face recognition and a GIS platform, the device comprising:
the monitoring platform is used for monitoring the running state of each school bus, receiving data sent by each school bus and sending data to each school bus;
the face recognition module is arranged outside each school bus and used for recognizing the identity information of the waiting boarding personnel in real time;
the face recognition detection module is used for detecting whether the state of a driver in the vehicle driving process meets the driving condition in real time and carrying out information interaction with the monitoring platform in real time through the wireless communication module;
the counter acquisition module is used for acquiring seat data information of the current vehicle in real time;
the GIS position module is used for distributing an operation route map to each school bus and recording the current position information of the school bus in real time through the GPS module;
the alarm module is used for judging whether the current car is in danger or not so as to alarm in time;
and the database module is used for storing various personnel identity information and route information.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (3)
1. A college school bus management method based on face recognition and a GIS platform is characterized by comprising the following steps:
s1, establishing a 5G communication network-based school bus cluster real-time online networking management model;
step S2, detecting whether a person waiting to take a school bus meets a preset condition based on a face recognition technology, and allowing the person to get on the bus only when the preset condition is met, wherein the preset condition is that the identity information of the current person is judged through the face recognition technology, whether the person is a driver or a common passenger is judged, if the person is the driver, whether the driver is the driver of the current vehicle is continuously judged, after the person is judged to be the driver, a face recognition detection module is started after a cab of the driver, the state of the driver is detected in real time, whether the current state of the driver meets the driving condition is judged, if the current state of the driver meets the driving condition, the driver is allowed to start the vehicle, and if the current state of the driver meets the driving condition, the driver is refused, and a data request is;
step S3, automatically detecting the seat information in the current vehicle, displaying the current seat data in real time through a display module arranged outside the school bus, if the current seat data reach the maximum threshold of personnel, prompting that the vehicle personnel are full, and starting a prompt information display module;
step S4, the information interconnection between school buses is realized through the established school bus cluster model, data interaction is carried out between the school buses and other vehicles in the school bus cluster through the wireless communication module, and the position and seat information of the next school bus passing through the position are displayed in real time through the prompt information display module, and the method comprises the following steps: if the current seat data is full, acquiring the residual seat information of the next school bus passing through the position in a wireless communication mode, simultaneously sending the current position and the personnel data waiting for getting on the bus at the current position to the next school bus based on the GIS technology, and after the data interaction is finished, displaying the current position, the arrival time and the residual seat data of the next school bus passing through the position by an external prompt information display module of the school bus full at the current time, wherein the school bus full at the current time leaves the current position;
step S5, judging whether all the persons get on the vehicle, if not, counting the number of the persons who do not get on the vehicle, dispatching the vehicles meeting the conditions to wait for the persons to get on the vehicle, and enabling other vehicles to normally go out, wherein the steps comprise: all school buses record the identity information and the number of current boarding personnel through a face recognition technology, perform data interaction with a monitoring platform, judge that the identity information and the number of the current real-time recorded personnel are matched with the identity information and the number of all pre-stored boarding personnel, if the data are consistent, all the personnel get on the bus, and otherwise, count the number of waiting boarding personnel and the current position information, and dispatch the school buses meeting the conditions to enable all the personnel to board the school buses and reach the destinations.
2. The college school bus management method based on face recognition and the GIS platform as claimed in claim 1, wherein a 5G communication network-based college school bus cluster real-time online networking management model is established in step S1, specifically, a unified school bus monitoring platform is provided in the school, and data interaction is performed between the platform and each school bus through a 5G transmission technology-based wireless communication module provided in each school bus; the monitoring platform records the information of school bus vehicles which are listed in operation or stop operation each time in real time, so as to judge whether each school bus meets safe driving conditions; the method comprises the steps of storing face image information of a lift man in advance to serve as a standard for judging whether the lift is allowed to get on, wherein the face image information of the lift man comprises driver basic information and common passenger information.
3. The method for managing the school buses in colleges and universities based on face recognition and GIS platform as claimed in claim 1, wherein in step S3, a seat counter collection module is provided and counts by a sensor provided under each seat, the maximum value of the available space in the school buses is recorded when the counter collection module is initialized, subtraction is performed in real time after a person sits down, and the data information of the current remaining seat is displayed in real time outside the school buses in combination with the display module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910725792.1A CN110400483B (en) | 2019-08-07 | 2019-08-07 | College school bus management method and device based on face recognition and GIS platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910725792.1A CN110400483B (en) | 2019-08-07 | 2019-08-07 | College school bus management method and device based on face recognition and GIS platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110400483A CN110400483A (en) | 2019-11-01 |
| CN110400483B true CN110400483B (en) | 2020-12-29 |
Family
ID=68327732
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910725792.1A Active CN110400483B (en) | 2019-08-07 | 2019-08-07 | College school bus management method and device based on face recognition and GIS platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110400483B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112927407A (en) * | 2019-12-05 | 2021-06-08 | 杭州海康威视数字技术股份有限公司 | Detection method and detection system for vehicle user |
| CN112418465B (en) * | 2020-11-05 | 2021-06-15 | 盐城工业职业技术学院 | Rail-mounted school bus system |
| CN113507593A (en) * | 2021-06-24 | 2021-10-15 | 中汽创智科技有限公司 | Monitoring method, device, system and terminal for vehicle cabin |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205810126U (en) * | 2016-06-22 | 2016-12-14 | 佛山市联智新创科技有限公司 | A kind of Bus Service management system |
| CN106327906A (en) * | 2016-10-13 | 2017-01-11 | 广西大学 | Public transport scheduling system |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8576069B2 (en) * | 2009-10-22 | 2013-11-05 | Siemens Corporation | Mobile sensing for road safety, traffic management, and road maintenance |
| KR101336618B1 (en) * | 2011-10-19 | 2013-12-12 | 김윤혁 | Advertisement exposure counting system and the method using face recognition |
| CN104599527A (en) * | 2013-10-31 | 2015-05-06 | 大连智友软件科技有限公司 | Intelligent school bus route management method |
| CN105160882A (en) * | 2015-10-20 | 2015-12-16 | 重庆五洲龙新能源汽车有限公司 | Vehicle operation system |
| CN207232701U (en) * | 2017-09-11 | 2018-04-13 | 防灾科技学院 | Remote way bus seat number system |
| CN107577200A (en) * | 2017-10-20 | 2018-01-12 | 上海遥薇(集团)有限公司 | A kind of safety of school bus intelligent management system |
| CN112084942A (en) * | 2018-03-09 | 2020-12-15 | 西安艾润物联网技术服务有限责任公司 | Method and device for online monitoring of driver identity in vehicle and storage medium |
| CN109829370A (en) * | 2018-12-25 | 2019-05-31 | 深圳市天彦通信股份有限公司 | Face identification method and Related product |
| CN110085021A (en) * | 2019-03-25 | 2019-08-02 | 山东优化信息科技有限公司 | A kind of intelligence safety school bus management system |
-
2019
- 2019-08-07 CN CN201910725792.1A patent/CN110400483B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205810126U (en) * | 2016-06-22 | 2016-12-14 | 佛山市联智新创科技有限公司 | A kind of Bus Service management system |
| CN106327906A (en) * | 2016-10-13 | 2017-01-11 | 广西大学 | Public transport scheduling system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110400483A (en) | 2019-11-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110400483B (en) | College school bus management method and device based on face recognition and GIS platform | |
| WO2019184724A1 (en) | Real-time passenger flow-based intelligent operation adjustment system and method for trains | |
| US10899371B2 (en) | System for managing space available and seats for passengers for use of a passenger transport system | |
| CN110276974A (en) | Remote endpoint is got off navigation guide | |
| CN111009117A (en) | Bus operator intelligent service terminal integrated machine and method | |
| CN110838044A (en) | Operation platform for intelligently customizing bus based on mobile internet and operation method thereof | |
| CN114550327B (en) | Single-person multi-lane situation awareness centralized control system and method | |
| CN111818160A (en) | Vehicle-mounted machine equipment | |
| CN112308384A (en) | Vehicle automatic scheduling control method and device based on Internet of things | |
| CN112465213A (en) | Auxiliary device and method of subway passenger information service system | |
| CN114118470B (en) | Intelligent control method and system for production operation of full-automatic driving vehicle base | |
| CN111757270A (en) | Method and device for identifying overmaning vehicle | |
| CN116934560A (en) | Intelligent management technology for automobile passenger station | |
| CN103186983B (en) | A kind of vehicle monitoring method and system | |
| CN106114562A (en) | Subway line networking condition information system | |
| WO2020120538A1 (en) | Method, computer program, device, vehicle, and network component for estimating a departure time for a user using a vehicle | |
| CN111612978A (en) | Shared riding system and method for unmanned vehicle | |
| CN112519787A (en) | Vehicle control system and vehicle | |
| US20230005375A1 (en) | Vehicle Control | |
| CN113401157B (en) | Seat information system and method based on transparent display window and railway vehicle | |
| CN205121885U (en) | Bus intelligence dynamic scheduling system | |
| KR20230050534A (en) | Electric bus digital cockpit system and display method of electric bus digital cockpit | |
| CN111950375A (en) | Subway line network passenger flow monitoring and displaying method and system | |
| CN206155472U (en) | Subway gauze highway condition information system | |
| US20190220610A1 (en) | System and method for selecting a data entry mechanism for an application based on security requirements |
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 | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A Method and Device for College Bus Management Based on Face Recognition and GIS Platform Effective date of registration: 20221019 Granted publication date: 20201229 Pledgee: Hefei Xingtai technology financing Company limited by guarantee Pledgor: ZHISHENG CREAT INFORMAITON TECHNOLOGY CO.,LTD. Registration number: Y2022980018837 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right |