CN105825350A - Video analysis-based intelligent tourism early warning decision-making system and use method thereof - Google Patents
Video analysis-based intelligent tourism early warning decision-making system and use method thereof Download PDFInfo
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- 231100000176 abortion Toxicity 0.000 claims description 6
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- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- 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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
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Abstract
The invention relates to a video analysis-based intelligent tourism early warning decision-making system and a use method thereof. The video analysis-based intelligent tourism early warning decision-making system comprises image pickup devices which are arranged in the entrance and exit of a scenic spot and are used for acquiring video information; and the video analysis-based intelligent tourism early warning decision-making system further comprises an early warning decision making unit, vehicle analysis systems which are connected with the early warning decision-making unit and identify vehicle information in videos, and face identification systems for identifying tourists in the videos. With the system and the use method thereof of the invention adopted, various kinds of data can be provided for management departments, the number of people in the scenic spot can be obtained by doing statistics, and people lingered in the scenic spot can be managed and controlled, and management problems of scenic spot management departments and traffic management departments can be solved.
Description
Technical field
The present invention relates to a kind of based on video analysis smart travel early warning decision system and using method thereof.
Background technology
Along with the raising of people's living standard, travel outdoors and become most selections that everybody has a rest vacation.But the huge artificial abortion in scenic spot festivals or holidays, wagon flow is to scenic spot management department, and vehicle supervision department is all a great difficult problem, and the vacation being not to the people spent a holiday is experienced, and have even has an accident.At present scenic spot is primarily present problems with:
1) existing scenic spot video monitoring, does not the most do video analysis, is intended only as common monitoring purposes.
2) to scenic spot management only by checking that video monitoring could obtain some simple perception, such as flow of the people, scenic spot vehicle etc..
3) can not the various early warning information in timely automated issue scenic spot.As forbidden, vehicle enters, and stops ticketing etc..
4) scenic spot management department cannot obtain some Back ground Informations.As those cities are inadequate to the propaganda strength at scenic spot.
5) can not accomplish that blacklist personnel can not enter scenic spot to be provided without real name booking scenic spot.
Summary of the invention
In order to solve problem above, the present invention provides a kind of based on video analysis smart travel early warning decision system, can allow the scenic spot management department intelligent management to artificial abortion's wagon flow, in the case of huge artificial abortion's car amount, system can issue scenic spot early warning information to social various public platforms in time.
Based on video analysis smart travel early warning decision system, including being distributed in scenic spot inlet and outlet for obtaining the camera head of video information, also include early warning decision unit, and the vehicle analysis system that information of vehicles in video is identified that is connected with early warning decision unit respectively and the face identification system (vehicle analysis system, the information of face identification system are transferred to early warning decision unit) that visitor in video is carried out recognition of face.
Preferably, described parking lot is also provided with the parking lot photographic attachment for obtaining video, also includes parking monitoring system, and parking lot, scenic spot in video is detected and transmits information to early warning decision unit by parking monitoring system.
Described road in scenic area also is provided with providing the camera head of video into vehicle analysis system.
Vehicle analysis system, face identification system or parking monitoring system are analyzed by described early warning decision unit, and analysis result is sent to by the way of wired or wireless scenic spot management staff terminal or traffic administration staff terminal or public platform.
Described public platform is scenic spot wechat platform, website, scenic spot or scenic spot mobile phone A PP.
Described scenic spot management staff terminal or traffic administration staff terminal are mobile phone or computer.
Described vehicle analysis system is taken pictures to the vehicle passing in and out scenic spot in video, line number of going forward side by side board, body color, car mark information identification, by video analysis or electromagnetic equipment, vehicle is detected, and by information of vehicles: number plate, body color, ownership place, turnover the scenic spot time be pushed to early warning decision unit.
The face passing in and out scenic spot in video is captured by described face identification system, and identifies, statistical number of person, and carries out comparing with blacklist, and as found, blacklist personnel enter scenic spot, alert；And turnover personnel amount, blacklist personal information are pushed to early warning decision unit.
Described parking monitoring system is by the detection on the parking stall in parking lot, scenic spot in video, and vacant parking space information is pushed to early warning decision unit.
The data that described early warning decision unit provides according to vehicle analysis system, analyze the vehicles passing in and out occupancy at scenic spot, and according to vehicle ownership place, the propaganda strength that decision-making goes out those scenic spots, area is inadequate, and real-time vehicle quantity in scenic spot；Whether the data provided according to face identification system, after the personnel that analyze averagely go sightseeing the time at scenic spot, real time personnel saturation in scenic spot, and scenic spot is closed, have delay personnel in scenic spot；The data provided according to parking monitoring system, before vehicle enters scenic spot, dredge the vehicle entering scenic spot；Carrying out automatic statistical analysis, it is the most saturated automatically to issue scenic spot personnel, parking lot whether saturation information.
It addition, present invention also offers using method based on video analysis smart travel early warning decision system, including following content:
1) face identification system is imported and exported at scenic spot and is added up recognition of face, and carries out recognition of face, blacklist personnel sends warning, and sends information to early warning decision unit；
2) vehicle is taken pictures by vehicle analysis system at the road (including inlet and outlet, and scape internal road) entering scenic spot, identifies, carries out ownership place judgement, and send information to early warning decision unit；
3) parking monitoring system automatically carries out statistics identification available parking places to the parking stall in parking lot, scenic spot；
4) at scenic spot, outlet carries out face statistics to face identification system, the automatic and import figure comparison when closing scenic spot, it may be judged whether have personnel to be detained, and send information to early warning decision unit；
5) early warning decision unit sends, from each common platform of trend society, the early warning information that personnel are saturated or vehicle is saturated；
6) early warning decision unit collects vehicle information of home location automatically, thus judges that the scenic spot propaganda strength in those areas is inadequate；
7) artificial abortion's wagon flow of early warning decision unit programming count every day, is intuitively shown to scenic spot management department.
The present invention is based on video analysis smart travel early warning decision system, it is provided that the number at turnover scenic spot is added up to administration section, system, also stranded crowd number in scenic spot carried out management and control by the most various data.System is also added up the vehicle at turnover scenic spot and in scenic spot, parking lot available parking places is added up, and sends early warning to various public's platforms in advance.System also carries out statistical analysis to the ownership place of turnover scenic spot vehicle, and tourism management departments formulates the issue to scenic spot exploitation according to these information.Face is also identified by system, and to blacklist, personnel send warning, forbids that it enters scenic spot.Solve the management problems of scenic spot management department and vehicle supervision department.
Accompanying drawing explanation
Fig. 1 is present system structural representation.
Detailed description of the invention
Below in conjunction with accompanying drawing, technical scheme is further described, but the present invention is not limited to these embodiments.
Based on video analysis smart travel early warning decision system, including being distributed in scenic spot inlet and outlet, for obtaining the camera head 1 of video information, (described road in scenic area also is provided with providing the camera head of video for vehicle analysis system 2.), also include early warning decision unit 8, and the vehicle analysis system 2 that information of vehicles in video is identified that is connected with early warning decision unit 8 respectively and the face identification system 3 (vehicle analysis system 2, the information of face identification system 3 are transferred to early warning decision unit 8) that visitor in video is carried out recognition of face.
Preferably, described parking lot is provided with the parking lot photographic attachment 4 for obtaining video, also includes parking monitoring system 5, and parking lot, scenic spot in video is detected and transmits information to early warning decision unit 8 by parking monitoring system 5.
Vehicle analysis system 2, face identification system 3 or parking monitoring system 5 are analyzed by described early warning decision unit 8, and analysis result is sent to by the way of wired or wireless scenic spot management staff terminal 7 (or traffic administration staff terminal) or public platform 6.
Described public platform 6 is scenic spot wechat platform, website, scenic spot or scenic spot mobile phone A PP.
Described scenic spot management staff terminal 7 (or traffic administration staff terminal) is mobile phone or computer.
The vehicle at turnover scenic spot is taken pictures by described vehicle analysis system 2, line number of going forward side by side board, body color, car mark information identification, by video analysis or electromagnetic equipment, vehicle is detected, and by information of vehicles: number plate, body color, ownership place, turnover the scenic spot time be pushed to early warning decision unit 8.
The face at turnover scenic spot is captured by described face identification system 3, and identifies, statistical number of person, and carries out comparing with blacklist, and as found, blacklist personnel enter scenic spot, alert；And turnover personnel amount, blacklist personal information are pushed to early warning decision unit 8.
The detection by the parking stall to parking lot, scenic spot of the described parking monitoring system 5, and vacant parking space information is pushed to early warning decision unit 8.
The data that described early warning decision unit 8 provides according to vehicle analysis system 2, analyze the vehicles passing in and out occupancy at scenic spot, and according to vehicle ownership place, the propaganda strength that decision-making goes out those scenic spots, area is inadequate, and real-time vehicle quantity in scenic spot；Whether the data provided according to face identification system 3, after the personnel that analyze averagely go sightseeing the time at scenic spot, real time personnel saturation in scenic spot, and scenic spot is closed, have delay personnel in scenic spot；The data provided according to parking monitoring system 5, before vehicle enters scenic spot, dredge the vehicle entering scenic spot；Carrying out automatic statistical analysis, it is the most saturated automatically to issue scenic spot personnel, parking lot whether saturation information.
It addition, present invention also offers using method based on video analysis smart travel early warning decision system, including following content:
1) face identification system 3 is imported and exported at scenic spot and is added up recognition of face, and carries out recognition of face, blacklist personnel sends warning, and sends information to early warning decision unit 8；
2) vehicle is taken pictures by vehicle analysis system 2 at the road (including inlet and outlet, and scape internal road) entering scenic spot, identifies, carries out ownership place judgement, and send information to early warning decision unit 8；
3) parking monitoring system 5 automatically carries out statistics identification available parking places to the parking stall in parking lot, scenic spot；
4) at scenic spot, outlet carries out face statistics to face identification system 3, the automatic and import figure comparison when closing scenic spot, it may be judged whether have personnel to be detained, and send information to early warning decision unit 8；
5) early warning decision unit 8 sends, from each common platform of trend society, the early warning information that personnel are saturated or vehicle is saturated；
6) early warning decision unit 8 collects vehicle information of home location automatically, thus judges that the scenic spot propaganda strength in those areas is inadequate；
7) artificial abortion's wagon flow of early warning decision unit 8 programming count every day, is intuitively shown to scenic spot management department.
Claims (10)
1. based on video analysis smart travel early warning decision system, including being distributed in scenic spot inlet and outlet for obtaining the camera head of video information, it is characterized in that: also include early warning decision unit, and the vehicle analysis system that information of vehicles in video is identified that is connected with early warning decision unit respectively and the face identification system that visitor in video is carried out recognition of face.
The most according to claim 1 based on video analysis smart travel early warning decision system, it is characterized in that: described parking lot is also provided with the parking lot photographic attachment for obtaining video, also including parking monitoring system, parking lot, scenic spot in video is detected and transmits information to early warning decision unit by parking monitoring system.
The most according to claim 1 and 2 based on video analysis smart travel early warning decision system, it is characterized in that: vehicle analysis system, face identification system or parking monitoring system are analyzed by described early warning decision unit, and by the way of wired or wireless, analysis result is sent to scenic spot management staff terminal or traffic administration staff terminal or public platform.
The most according to claim 3 based on video analysis smart travel early warning decision system, it is characterised in that: described public platform is scenic spot wechat platform, website, scenic spot or scenic spot mobile phone A PP.
The most according to claim 3 based on video analysis smart travel early warning decision system, it is characterised in that: described scenic spot management staff terminal or traffic administration staff terminal are mobile phone or computer.
6. arbitrary described based on video analysis smart travel early warning decision system according to claim 1-5, it is characterized in that: the vehicle at turnover scenic spot is taken pictures by described vehicle analysis system, line number of going forward side by side board, body color, car mark information identification, is detected vehicle by video analysis or electromagnetic equipment, and by information of vehicles: number plate, body color, ownership place, turnover the scenic spot time be pushed to early warning decision unit.
7. arbitrary described based on video analysis smart travel early warning decision system according to claim 1-5, it is characterized in that: the face at turnover scenic spot is captured by described face identification system, and identify, statistical number of person, and carry out comparing with blacklist, as found, blacklist personnel enter scenic spot, alert；And turnover personnel amount, blacklist personal information are pushed to early warning decision unit.
8. arbitrary described based on video analysis smart travel early warning decision system according to claim 1-5, it is characterised in that: the detection by the parking stall to parking lot, scenic spot of the described parking monitoring system, and vacant parking space information is pushed to early warning decision unit.
9. arbitrary described based on video analysis smart travel early warning decision system according to claim 1-5, it is characterized in that: the data that described early warning decision unit provides according to vehicle analysis system, analyze the vehicles passing in and out occupancy at scenic spot, and according to vehicle ownership place, the propaganda strength that decision-making goes out those scenic spots, area is inadequate, and real-time vehicle quantity in scenic spot；Whether the data provided according to face identification system, after the personnel that analyze averagely go sightseeing the time at scenic spot, real time personnel saturation in scenic spot, and scenic spot is closed, have delay personnel in scenic spot；The data provided according to parking monitoring system, before vehicle enters scenic spot, dredge the vehicle entering scenic spot；Carrying out automatic statistical analysis, it is the most saturated automatically to issue scenic spot personnel, parking lot whether saturation information.
10. the arbitrary described using method based on video analysis smart travel early warning decision system of claim 1-5, including following content:
1) face identification system is imported and exported at scenic spot and is added up recognition of face, and carries out recognition of face, blacklist personnel sends warning, and sends information to early warning decision unit；
2) vehicle is taken pictures by vehicle analysis system at the road entering scenic spot, identifies, carries out ownership place judgement, and send information to early warning decision unit；
3) parking monitoring system automatically carries out statistics identification available parking places to the parking stall in parking lot, scenic spot；
4) at scenic spot, outlet carries out face statistics to face identification system, the automatic and import figure comparison when closing scenic spot, it may be judged whether have personnel to be detained, and send information to early warning decision unit；
5) early warning decision unit sends, from each common platform of trend society, the early warning information that personnel are saturated or vehicle is saturated；
6) early warning decision unit collects vehicle information of home location automatically, thus judges that the scenic spot propaganda strength in those areas is inadequate；
7) artificial abortion's wagon flow of early warning decision unit programming count every day, is intuitively shown to scenic spot management department.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106056490A (en) * | 2016-06-20 | 2016-10-26 | 四川上略互动网络技术有限公司 | Smart tourism management system |
| CN106530567A (en) * | 2016-10-25 | 2017-03-22 | 上海银晨智能识别科技有限公司 | Alarm comparison module, system and method suitable for large-scale control |
| CN107680376A (en) * | 2017-10-09 | 2018-02-09 | 安徽畅通行交通信息服务有限公司 | A kind of scenic spot traffic early warning persuasion system |
| CN107730427A (en) * | 2017-10-09 | 2018-02-23 | 安徽畅通行交通信息服务有限公司 | A kind of scenic spot Traffic monitoring management system |
| CN107909001A (en) * | 2017-08-04 | 2018-04-13 | 国网浙江省电力公司湖州供电公司 | A kind of engineering site personnel Vehicular system |
| CN108513099A (en) * | 2018-04-02 | 2018-09-07 | 芜湖乐锐思信息咨询有限公司 | A kind of scenic spot real time monitoring live broadcast system based on mobile Internet |
| CN109509356A (en) * | 2018-11-20 | 2019-03-22 | 苏州美奈信息科技有限公司 | A kind of large size scenic spot parking space management system |
| CN109523426A (en) * | 2017-09-20 | 2019-03-26 | 上海弘视通信技术有限公司 | Open scenic spot passenger record, inquiry and charge management method and its system |
| CN110177254A (en) * | 2019-05-28 | 2019-08-27 | 北京建工路桥集团有限公司 | A kind of wisdom building site system for managing video and its control method |
| CN112991649A (en) * | 2021-02-07 | 2021-06-18 | 杭州佳服科技有限公司 | Intelligent emergency alarm post for public management and scenic spot management method |
| CN114283615A (en) * | 2021-12-24 | 2022-04-05 | 浙江力石科技股份有限公司 | Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106530567A (en) * | 2016-10-25 | 2017-03-22 | 上海银晨智能识别科技有限公司 | Alarm comparison module, system and method suitable for large-scale control |
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| CN107730427A (en) * | 2017-10-09 | 2018-02-23 | 安徽畅通行交通信息服务有限公司 | A kind of scenic spot Traffic monitoring management system |
| CN108513099A (en) * | 2018-04-02 | 2018-09-07 | 芜湖乐锐思信息咨询有限公司 | A kind of scenic spot real time monitoring live broadcast system based on mobile Internet |
| CN109509356A (en) * | 2018-11-20 | 2019-03-22 | 苏州美奈信息科技有限公司 | A kind of large size scenic spot parking space management system |
| CN110177254A (en) * | 2019-05-28 | 2019-08-27 | 北京建工路桥集团有限公司 | A kind of wisdom building site system for managing video and its control method |
| CN112991649A (en) * | 2021-02-07 | 2021-06-18 | 杭州佳服科技有限公司 | Intelligent emergency alarm post for public management and scenic spot management method |
| CN112991649B (en) * | 2021-02-07 | 2022-08-23 | 杭州佳服科技有限公司 | Intelligent emergency alarm post for public management and scenic spot management method |
| CN114283615A (en) * | 2021-12-24 | 2022-04-05 | 浙江力石科技股份有限公司 | Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot |
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