CN102819882A - Identification control system and identification method for passing objects in automatic ticket inspection pedestrian passageway - Google Patents
Identification control system and identification method for passing objects in automatic ticket inspection pedestrian passageway Download PDFInfo
- Publication number
- CN102819882A CN102819882A CN2012102605974A CN201210260597A CN102819882A CN 102819882 A CN102819882 A CN 102819882A CN 2012102605974 A CN2012102605974 A CN 2012102605974A CN 201210260597 A CN201210260597 A CN 201210260597A CN 102819882 A CN102819882 A CN 102819882A
- Authority
- CN
- China
- Prior art keywords
- passage
- light curtain
- infrared
- infrared light
- infrared sensor
- 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
Images
Landscapes
- Devices For Checking Fares Or Tickets At Control Points (AREA)
Abstract
The invention relates to an identification control system for passing objects in an automatic ticket inspection pedestrian passageway. The automatic ticket inspection pedestrian passageway comprises a passageway, a gate and a ticket checking machine. The passageway is provided with an infrared light curtain and a passageway control system; a passageway detection zone, a passageway monitoring zone, a passageway safety zone and a passageway reverse monitoring zone are sequentially arranged from entrance to exit of the passageway; the infrared light curtain comprises 21 to 45 pairs of infrared sensors respectively installed in all the zones; the passageway detection zone, the passageway monitoring zone and the passageway safety zone are respectively provided with 6 to 10 pairs of infrared sensors; and the passageway reverse monitoring zone is provided with 3 to 5 pairs of vertically arranged infrared sensors. According to the invention, when a single object or a plurality of objects pass through the passageway, dynamic capture analysis is carried out in the whole passing process by using differences of characteristic models of every object projected on the infrared light curtain, and finally attributes and categories of the passing objects are accurately analyzed by using a statistical way.
Description
Technical field
The invention belongs to mode identification technology, the control system for identifying and the recognition methods of current object in the particularly automatic ticket checking walkway.
Background technology
Automatically the ticket checking walkway is a kind of equipment that pedestrian or passenger's discrepancy is control effectively, and realizes that highly intelligence, safe walk are controlled.It generally is installed on the gateway in the halls of waiting such as bus station, railway station, subway station, allows legal passenger through passage, for it provides the quick authentication and the current service of coming in and going out.
As the infrared light curtain sensor of one of passage core component, in the current process of passenger, detect in real time, and the information that will detect in time feeds back to channel control system.Channel control system carries out Intelligent Recognition and decision-making according to feedback information, stops illegal acts such as the passenger rushes, trails, oppositely sneaks into by mistake, ensures that the passenger and the normal of physical disabilities that carry luggage or children pass through.Therefore the quality of the object identification module performance in the walkway is not only an important indicator weighing the performance of passage own, and relates to popular public safety.
Usually; The installation site of passage mid-infrared light curtain sensor and the difference of quantity, the recognition strategy of employing and the difference of method; The difference of the current state of passenger all can cause object identification result's in the passage difference, and the discrepancy that finally influences passage integral working and passenger is passed through.
Not enough below general passage object identification method exists:
1) under the current state of the many objects of passage, the object identification accuracy is not high, and the probability that erroneous judgement occurs is bigger;
During 2) to passage object analysis and judgement, only utilize the momentary status of this object at the passage specific position, rather than its statistical property in the whole current process of passage.
Passage object identification method of the prior art; Correct really rate is not high, and the erroneous judgement probability is big, is difficult to effectively stop illegal acts such as the passenger rushes, trails, oppositely sneaks into by mistake; It is bigger that the passenger that carries luggage or children and physical disabilities are judged by accident probability, can not let it pass through in proper order.
Summary of the invention
The technical matters that the present invention will solve is: overcome passage object identification method in the prior art; It is correct that really rate is not high; The big deficiency of erroneous judgement probability; The control system for identifying and the recognition methods of current object in a kind of automatic ticket checking walkway are provided, improve the recognition correct rate of current object, reduce the erroneous judgement probability.
The technical solution adopted for the present invention to solve the technical problems is: the control system for identifying of current object in a kind of automatic ticket checking walkway; Automatically the ticket checking walkway comprises passage, is arranged on the gate of channel middle and is arranged on the brush ticket machine at feeder connection place; The channel control system that is provided with infrared light curtain in the passage and carries out calculation process and control gate work through the quantity of infrared light curtain collection; Described passage is followed successively by the passage detection zone, is positioned at path monitoring district before the gate, is positioned at four zones in channel security district and passage backward supervision district behind the gate from the outlet that enters the mouth; Infrared light curtain comprises and is installed in each regional 21-45 respectively to infrared sensor; Every pair of infrared sensor comprises an infrared transmitter and an infrared remote receiver that is complementary, and a side of described passage is installed infrared transmitter, opposite side is installed infrared remote receiver;
Passage detection zone, path monitoring district and channel security district all are equipped with 6-10 to infrared sensor; Described 6-10 is horizontally arranged in upper and lower two parts of passage respectively to infrared sensor; Spacing between each transversely arranged adjacent infrared sensor in zone is 10 ± 3cm; Spacing between the infrared sensor of gate both sides is 17 ± 3cm, and the infrared sensor of bottom is 22 ± 3cm overhead, and the spacing between the upper and lower two-part infrared sensor is 64 ± 3cm;
Passage backward supervision district is equipped with 3-5 to infrared sensor, and described 3-5 vertically is provided with infrared sensor, and the spacing of vertically arranging between the adjacent infrared sensor is 10 ± 3cm.
The quantity of described infrared sensor is right; Passage detection zone, path monitoring district and channel security district all are equipped with infrared sensor; Wherein an infrared sensor is positioned at passage 1 top, 4 infrared sensors are positioned at the passage bottom in addition; The infrared sensor of upper and lower is corresponding one by one to be provided with, and passage backward supervision district is equipped with infrared sensor.
The method that a kind of control system for identifying that adopts in the above-mentioned automatic ticket checking walkway current object is discerned has following steps:
1. start infrared light curtain,, obtain each regional real-time status value of information in the passage through the data of current object in the passage mid-infrared light curtain acquisition channel;
2. channel control system data that infrared light curtain is gathered are handled, and in passage, cut apart the state of infrared light curtain in the current process according to object, and the data of gathering are carried out branch and fragmented storage;
3. set up passage object typical model,,, carry out feature extraction and counting in conjunction with the image data information of infrared sensor in the zones of different according to passage object typical model characteristics different in the passage;
4. after the object in the passage 1 is accomplished once current process,, the passage object is carried out statistical study judge based on the feature identification degree and the feature counts value of different objects.
1. step exports passage and is divided into the passage detection zone successively, is positioned at path monitoring district before the gate, is positioned at four zones in channel security district and passage backward supervision district behind the gate from entering the mouth to; Infrared sensor in the passage detection zone detects does not have object current in the passage; When being in idle state; Closing gate, waiting Passengen is brushed ticket on brush ticket machine;
When object admission passage detection zone and after having brushed valid ballot on the brush ticket machine; Gate is opened; Channel control system moves through the infrared sensor monitor objects in the path monitoring district; Detection has or not deceptive practices such as the passenger trails, and keeps as if no deceptive practices gate and opens, if the deceptive practices closing gate is arranged;
When object smoothly through gate and when getting into the channel security district, after object left the channel security district fully, the channel control system control gate cut out;
Object leaves channel security district continued fully and advances, and passage backward supervision district detects object and gone out lock, is regarded as the passenger and oppositely swarms into if passage backward supervision district detects signal once more when no object passes through data from entering the mouth, and keeps closing gate.
The 2. middle channel control system of step is according to the installation site of infrared light curtain; The raw data of infrared light curtain is divided into top, bottom and sidepiece; Data structure with the bitset type is stored, respectively called after top infrared light curtain raw data, bottom infrared light curtain raw data and sidepiece infrared light curtain raw data;
The state of in passage, cutting apart infrared light curtain according to object in the current process; Note infrared light curtain locus of discontinuity domain information, store, respectively called after top infrared light curtain segment information and bottom infrared light curtain segment information with the data structure of two-dimensional array type; Wherein, First each discontinuity zone starting point of row record of two-dimensional array, index value is since 0, and secondary series writes down the length of each discontinuity zone.
To some discontinuity zones,,, carry out characteristic and check and count according to the different objects characteristic in conjunction with the upper and lower part raw data of infrared sensor in this zone.
The 4. middle object of step is accomplished once current notion: before the object admission passage, channel status is unimpeded; The object admission passage is current, and channel status is for stopping; Object is accomplished current leave passage, the unimpeded state of routing restoration;
Object is accomplished once in the current process, and the object that is passed through in the channel control system carries out the total degree of characteristic sampling analysis;
Object is accomplished once in the current process, meets the sampling stored count value of certain objects characteristic model;
The total degree of the sampling stored count value/characteristic sampling analysis of feature identification degree=object features model.
The invention has the beneficial effects as follows; The control system for identifying and the recognition methods of current object in the automatic ticket checking of the present invention walkway; Passage is under single object or the current state of many objects; Utilize each object to be projeced into characteristic model difference on the infrared light curtain, in whole current process, carry out the motion capture analysis, utilize statistical Accurate Analysis go out the to pass through attribute classification of object at last.According to the method; Can analyze the current number of passage; Multiple current states such as after comparing with the number of valid ballots of ticket-checking system, can detecting the current behavior that effectively takes ticket, trail current behavior, mistake is rushed current behavior, oppositely current behavior and many people be current continuously.Through a large amount of actual tests, this method greatly improves passage pedestrian recognition correct rate and current security.
Description of drawings
Below in conjunction with accompanying drawing and embodiment the present invention is further specified.
Fig. 1 is the structural representation of the control system for identifying of current object in the automatic ticket checking of the present invention walkway;
Fig. 2 is the process flow diagram of the recognition methods of current object in the automatic ticket checking of the present invention walkway.
Among the figure: 1. passage, 11. passage detection zones, 12. path monitoring districts, 13. channel security districts,
14. passage backward supervision district, 2. gate, 3. brush ticket machine, 4. infrared light curtain.
Embodiment
Combine accompanying drawing that the present invention is done further detailed explanation now.These accompanying drawings are the synoptic diagram of simplification, basic structure of the present invention only is described in a schematic way, so it only show the formation relevant with the present invention.
The control system for identifying of current object in the automatic ticket checking of the present invention walkway; Automatically the ticket checking walkway comprises passage 1, is arranged on the gate 2 at passage 1 middle part and is arranged on the brush ticket machine 3 of passage 1 porch; The channel control system that is provided with infrared light curtain 4 in the passage 1 and carries out calculation process and control gate work through the quantity that infrared light curtain 4 is gathered; Passage 1 is followed successively by passage detection zone 11, is positioned at path monitoring district 12 before the gate 2, is positioned at 14 4 zones in channel security district 13 and passage backward supervision district behind the gate 2 from the outlet that enters the mouth; Infrared light curtain 4 comprises and is installed in each regional 21-45 respectively to infrared sensor; Every pair of infrared sensor comprises an infrared transmitter and an infrared remote receiver that is complementary, and a side of passage 1 is installed infrared transmitter, opposite side is installed infrared remote receiver; Passage detection zone 11, path monitoring district 12 and channel security district 13 all are equipped with 6-10 to infrared sensor; 6-10 is horizontally arranged in upper and lower two parts of passage 1 respectively to infrared sensor; Spacing between each transversely arranged adjacent infrared sensor in zone is 10 ± 3cm; Spacing between the infrared sensor of gate 2 both sides is 17 ± 3cm, and the infrared sensor of bottom is 22 ± 3cm overhead, and the spacing between the upper and lower two-part infrared sensor is 64 ± 3cm; Passage backward supervision district 14 is equipped with 3-5 to infrared sensor, and 3-5 vertically is provided with infrared sensor, and the spacing of vertically arranging between the adjacent infrared sensor is 10 ± 3cm.
As shown in Figure 1; The control system for identifying most preferred embodiment of current object in the automatic ticket checking of the present invention walkway; The quantity of infrared sensor is 28 pairs, and passage detection zone 11, path monitoring district 12 and channel security district 13 all are equipped with 8 pairs of infrared sensors, and wherein 4 infrared sensors are positioned at passage 1 top, 4 infrared sensors are positioned at passage 1 bottom in addition; The infrared sensor of upper and lower is corresponding one by one to be provided with, and passage backward supervision district 14 is equipped with 4 pairs of infrared sensors.
Method shown in Figure 2, that a kind of control system for identifying that adopts in the above-mentioned automatic ticket checking walkway current object is discerned has following steps:
1. start infrared light curtain 4; Data through current object in passage 1 mid-infrared light curtain 4 acquisition channels 1; Obtain each regional real-time status value of information in the passage 1: passage 1 is exported from entering the mouth to be divided into passage detection zone 11 successively, be positioned at path monitoring district 12 before the gate 2, be positioned at 14 4 zones in channel security district 13 and passage backward supervision district behind the gate 2; Infrared sensor in the passage detection zone 12 detects does not have object current in the passage 1; When being in idle state, closing gate, waiting Passengen is brushed ticket on brush ticket machine 3; When object admission passage detection zone 11 and after having brushed valid ballot on the brush ticket machine 3; Gate 2 is opened; Channel control system moves through the infrared sensor monitor objects in the path monitoring district 12; Detection has or not deceptive practices such as the passenger trails, and keeps as if no deceptive practices gate 2 and opens, if there is deceptive practices gate 2 to close; When object smoothly through gate 2 and when getting into channel security district 13, after object left channel security district 13 fully, channel control system control gate 2 cut out; Object leaves channel security district 13 continued fully and advances; Passage backward supervision district 14 detects object and has gone out lock; If passage backward supervision district 14 detects signal once more and is regarded as the passenger and oppositely swarms into when no object passes through data from entering the mouth, keep gate 2 and close.
2. channel control system data that infrared light curtain 4 is gathered are handled; The state of in passage 1, cutting apart infrared light curtain 4 according to object in the current process; The data of gathering are carried out branch and fragmented storage: channel control system is according to the installation site of infrared light curtain 4; The raw data of infrared light curtain 4 is divided into top, bottom and sidepiece; Data structure with the bitset type is stored, respectively called after top infrared light curtain raw data, bottom infrared light curtain raw data and sidepiece infrared light curtain raw data; The state of in passage 1, cutting apart infrared light curtain 4 according to object in the current process; Note infrared light curtain 4 locus of discontinuity domain informations, store, respectively called after top infrared light curtain segment information and bottom infrared light curtain segment information with the data structure of two-dimensional array type; Wherein, First each discontinuity zone starting point of row record of two-dimensional array, index value is since 0, and secondary series writes down the length of each discontinuity zone.
3. set up passage object typical model; According to passage object typical model characteristics different in the passage 1; In conjunction with the image data information of infrared sensor in the zones of different, carry out feature extraction and counting:: adult (Adult), children (Child), pregnant woman (Gravida), baby stroller (Baby Handcart), large size luggage case (Large Luggage), medium size luggage case (MediumLuggage), small size luggage case (SmallLuggage), hand-baggage (HandBaggage), carton (PaperBox) through the experiment of typical objects being set up passage object typical model; To some discontinuity zones,,, carry out characteristic and check and count according to the different objects characteristic in conjunction with the upper and lower part raw data of infrared sensor in this zone.
4. after the object in the passage 1 was accomplished once current process, based on the feature identification degree and the feature counts value of different objects, the passage object is carried out statistical study judge: object is accomplished once current notion: before the object admission passage 1, channel status was unimpeded; Object admission passage 1 is current, and channel status is for stopping; Object is accomplished current leave passage 1, the unimpeded state of routing restoration; Object is accomplished once in the current process, and the object that is passed through in the channel control system carries out the total degree of characteristic sampling analysis; Object is accomplished once in the current process, meets the sampling stored count value of certain objects characteristic model; The total degree of the sampling stored count value/characteristic sampling analysis of feature identification degree=object features model.
If the passage object is a carton (PaperBox), its characteristic model criterion is:
I, certain discontinuity zone at least 5 pairs of top infrared sensors that are blocked, the three pairs of pairing bottom of top infrared sensor infrared sensors in direct of travel the place ahead are not blocked relatively simultaneously;
II, certain discontinuity zone top infrared sensor have at least 2 pairs to be blocked, and the bottom infrared sensor that these top infrared sensors are corresponding is not simultaneously all stopped;
Meet one of above two conditions, the carton of passage object (PaperBox) feature counts value just adds 1, and this feature extraction mode is extracted for fuzzy.
If the passage object is an adult-passenger (Adult), its characteristic model criterion is:
I, certain discontinuity zone are blocked 3 pairs of top infrared sensors continuously, and bottom infrared sensor head and tail infrared sensor all are blocked, and a middle infrared sensor is not blocked;
II, certain discontinuity zone are blocked 4 pairs of top infrared sensors continuously, and bottom infrared sensor head and tail infrared sensor are blocked, and have at least one not blocked in middle two points;
Meet one of above two conditions, just can judge clearly that this object is adult's model, this feature extraction mode is accurately to extract.
With above-mentioned foundation desirable embodiment of the present invention is enlightenment, and through above-mentioned description, the related work personnel can carry out various change and modification fully in the scope that does not depart from this invention technological thought.The technical scope of this invention is not limited to the content on the instructions, must confirm its technical scope according to the claim scope.
Claims (7)
1. the control system for identifying of current object in the automatic ticket checking walkway; Automatically the ticket checking walkway comprises passage (1), is arranged on the gate (2) at passage (1) middle part and is arranged on the brush ticket machine (3) of passage (1) porch; The channel control system that is provided with infrared light curtain (4) in the passage (1) and carries out calculation process and control gate work through the quantity that infrared light curtain (4) is gathered; It is characterized in that: described passage (1) is followed successively by passage detection zone (11), is positioned at the preceding path monitoring district (12) of gate (2), is positioned at (14) four zones in channel security district (13) and passage backward supervision district behind the gate (2) from the outlet that enters the mouth; Infrared light curtain (4) comprises and is installed in each regional 21-45 respectively to infrared sensor; Every pair of infrared sensor comprises an infrared transmitter and an infrared remote receiver that is complementary, and a side of described passage (1) is installed infrared transmitter, opposite side is installed infrared remote receiver;
Passage detection zone (11), path monitoring district (12) and channel security district (13) all are equipped with 6-10 to infrared sensor; Described 6-10 is horizontally arranged in upper and lower two parts of passage (1) respectively to infrared sensor; Spacing between each transversely arranged adjacent infrared sensor in zone is 10 ± 3cm; The spacing that is positioned between the infrared sensor of gate (2) both sides is 17 ± 3cm; The infrared sensor of bottom is 22 ± 3cm overhead, and the spacing between the upper and lower two-part infrared sensor is 64 ± 3cm;
Passage backward supervision district (14) is equipped with 3-5 to infrared sensor, and described 3-5 vertically is provided with infrared sensor, and the spacing of vertically arranging between the adjacent infrared sensor is 10 ± 3cm.
2. the control system for identifying of current object in the automatic ticket checking as claimed in claim 1 walkway; It is characterized in that: the quantity of described infrared sensor is 28 pairs; Passage detection zone (11), path monitoring district (12) and channel security district (13) all are equipped with 8 pairs of infrared sensors; Wherein 4 infrared sensors are positioned at passage (1) top, 4 infrared sensors are positioned at passage (1) bottom in addition; The infrared sensor of upper and lower is corresponding one by one to be provided with, and passage backward supervision district (14) is equipped with 4 pairs of infrared sensors.
3. method that the control system for identifying that adopts in claim 1 or the 2 described automatic ticket checking walkwaies current object is discerned is characterized in that having following steps:
1. start infrared light curtain (4),, obtain each regional real-time status value of information in the passage (1) through the data of current object in passage (1) mid-infrared light curtain (4) acquisition channel (1);
2. channel control system data that infrared light curtain (4) is gathered are handled, and in passage (1), cut apart the state of infrared light curtain (4) in the current process according to object, and the data of gathering are carried out branch and fragmented storage;
3. set up passage object typical model,,, carry out feature extraction and counting in conjunction with the image data information of infrared sensor in the zones of different according to passage object typical model characteristics different in the passage (1);
4. after the object in the passage (1) is accomplished once current process,, the passage object is carried out statistical study judge based on the feature identification degree and the feature counts value of different objects.
4. the recognition methods of current object in the automatic ticket checking as claimed in claim 3 walkway; It is characterized in that: 1. step exports passage (1) and is divided into passage detection zone (11) successively, is positioned at the preceding path monitoring district (12) of gate (2), is positioned at (14) four zones in channel security district (13) and passage backward supervision district behind the gate (2) from entering the mouth to; Infrared sensor in the passage detection zone (12) detects does not have object current in the passage (1); When being in idle state; Closing gate, waiting Passengen is gone up the brush ticket at brush ticket machine (3);
When object admission passage detection zone (11) and after having brushed valid ballot on the brush ticket machine (3); Gate (2) is opened; Channel control system moves through the infrared sensor monitor objects in the path monitoring district (12); Detection has or not deceptive practices such as the passenger trails, and keeps as if no deceptive practices gate (2) and opens, if there is deceptive practices gate (2) to close;
When object smoothly through gate (2) and when getting into channel security district (13), after object left channel security district (13) fully, channel control system control gate (2) cut out;
Object leaves channel security district (13) continued fully and advances; Passage backward supervision district (14) detects object and has gone out lock; If passage backward supervision district (14) detects signal once more and is regarded as the passenger and oppositely swarms into when no object passes through data from entering the mouth, keep gate (2) and close.
5. the recognition methods of current object in the automatic ticket checking as claimed in claim 3 walkway; It is characterized in that: the 2. middle channel control system of step is according to the installation site of infrared light curtain (4); The raw data of infrared light curtain (4) is divided into top, bottom and sidepiece; Data structure with the bitset type is stored, respectively called after top infrared light curtain raw data, bottom infrared light curtain raw data and sidepiece infrared light curtain raw data;
The state of in passage (1), cutting apart infrared light curtain (4) according to object in the current process; Note infrared light curtain (4) locus of discontinuity domain information, store, respectively called after top infrared light curtain segment information and bottom infrared light curtain segment information with the data structure of two-dimensional array type; Wherein, First each discontinuity zone starting point of row record of two-dimensional array, index value is since 0, and secondary series writes down the length of each discontinuity zone.
6. the recognition methods of current object in the automatic ticket checking as claimed in claim 3 walkway is characterized in that: step 3. in through the experiment of typical objects being set up passage object typical model: adult, children, pregnant woman, baby stroller, large size luggage case, medium size luggage case, small size luggage case, hand-baggage, carton;
To some discontinuity zones,,, carry out characteristic and check and count according to the different objects characteristic in conjunction with the upper and lower part raw data of infrared sensor in this zone.
7. the recognition methods of current object in the automatic ticket checking as claimed in claim 3 walkway is characterized in that: step 4. in object accomplish once current notion: object admission passage (1) before, channel status is unimpeded; Object admission passage (1) is current, and channel status is for stopping; Object is accomplished current leave passage (1), the unimpeded state of routing restoration;
Object is accomplished once in the current process, and the object that is passed through in the channel control system carries out the total degree of characteristic sampling analysis;
Object is accomplished once in the current process, meets the sampling stored count value of certain objects characteristic model;
The total degree of the sampling stored count value/characteristic sampling analysis of feature identification degree=object features model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210260597.4A CN102819882B (en) | 2012-07-25 | 2012-07-25 | Identification control system and identification method for passing objects in automatic ticket inspection pedestrian passageway |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210260597.4A CN102819882B (en) | 2012-07-25 | 2012-07-25 | Identification control system and identification method for passing objects in automatic ticket inspection pedestrian passageway |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102819882A true CN102819882A (en) | 2012-12-12 |
| CN102819882B CN102819882B (en) | 2015-05-06 |
Family
ID=47303984
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210260597.4A Active CN102819882B (en) | 2012-07-25 | 2012-07-25 | Identification control system and identification method for passing objects in automatic ticket inspection pedestrian passageway |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102819882B (en) |
Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103218863A (en) * | 2013-03-20 | 2013-07-24 | 山东大学 | Pattern recognition based barrier-free channel machine bidirectional detection method |
| CN103761780A (en) * | 2013-12-10 | 2014-04-30 | 广州地铁设计研究院有限公司 | Outbound swing door system for urban rail transit and ticket checking method |
| CN103778704A (en) * | 2014-02-11 | 2014-05-07 | 上海理工大学 | Intelligent identification method for gate accidents of urban mass transit |
| CN105046795A (en) * | 2015-08-28 | 2015-11-11 | 广州绿晶信息科技有限公司 | Passage gate for checking attendance by photographing and working method of passage gate |
| CN105354898A (en) * | 2015-09-10 | 2016-02-24 | 北京中软万维网络技术有限公司 | Scissor-like door gate transit logic identification device and method |
| CN106846501A (en) * | 2016-12-21 | 2017-06-13 | 吴中区穹窿山倪源交通器材经营部 | A kind of station fingerprint ticket-checking system |
| CN107015835A (en) * | 2017-04-21 | 2017-08-04 | 南京理工大学 | A kind of collocation method of gate infrared detection light curtain |
| CN107176425A (en) * | 2016-12-29 | 2017-09-19 | 杭州福斯特应用材料股份有限公司 | A kind of automatic material transportation system |
| CN107689085A (en) * | 2016-08-05 | 2018-02-13 | 陈建平 | A kind of ticket-checking system of urban track traffic |
| CN108241177A (en) * | 2016-12-26 | 2018-07-03 | 航天信息股份有限公司 | The anti-trailing detecting system and detection method of single transit passage |
| CN108537939A (en) * | 2018-07-13 | 2018-09-14 | 赵俊军 | System of real name verifying system and system of real name veritify gate |
| CN108597067A (en) * | 2018-03-20 | 2018-09-28 | 苏洋 | Intelligent channel monitoring equipment, intelligent channel clearance system and the method for inspection |
| CN109241882A (en) * | 2018-08-22 | 2019-01-18 | 深圳市道尔智控科技股份有限公司 | A kind of personal identification method of multidimensional personal identification channel management device |
| CN109493434A (en) * | 2018-09-13 | 2019-03-19 | 贵州欢旅途遇科技有限公司 | A kind of tourism data removing management system and its application method based on block chain |
| CN109584409A (en) * | 2018-10-11 | 2019-04-05 | 深圳市上和科技有限公司 | A kind of channel circle system |
| CN111768520A (en) * | 2020-06-04 | 2020-10-13 | 站坐(北京)科技有限公司 | Target detection device and method |
| CN113393603A (en) * | 2020-03-11 | 2021-09-14 | 杭州海康威视数字技术股份有限公司 | Control method and system of channel gate |
| CN113464043A (en) * | 2015-07-01 | 2021-10-01 | 上海品翔电子科技有限公司 | Rotary gate |
| CN113674469A (en) * | 2020-05-14 | 2021-11-19 | 凯拔格伦仕慈股份有限公司 | Traffic identification system and method for contactless monitoring |
| CN113870472A (en) * | 2021-10-20 | 2021-12-31 | 北京中成科信科技发展有限公司 | Automatic swing gate system |
| CN114144819A (en) * | 2019-07-22 | 2022-03-04 | 马格内梯克自动控制有限公司 | Channel control device |
| CN115263155A (en) * | 2022-08-05 | 2022-11-01 | 欧必翼(北京)安防科技有限公司 | One-way backflow prevention channel system and control method thereof |
| CN118053231A (en) * | 2024-04-15 | 2024-05-17 | 盛视科技股份有限公司 | Pedestrian passageway door opening sensing method and passageway gate equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1573815A (en) * | 2003-06-09 | 2005-02-02 | 欧姆龙株式会社 | Automatic ticket checker |
| JP2005196621A (en) * | 2004-01-09 | 2005-07-21 | Omron Corp | Automatic ticket gate |
| CN200965698Y (en) * | 2006-11-02 | 2007-10-24 | 广州中运计算机软件有限公司 | Automatic ticket checking machine |
| CN101893853A (en) * | 2010-08-05 | 2010-11-24 | 新太科技股份有限公司 | Judging algorithm of intelligent model-based self-learning human gate passageway |
| CN102184573A (en) * | 2011-04-20 | 2011-09-14 | 铁道部运输局 | Automatic ticket checking machine |
| CN202120330U (en) * | 2011-06-24 | 2012-01-18 | 北京兆维电子(集团)有限责任公司 | Automatic ticket checking machine |
-
2012
- 2012-07-25 CN CN201210260597.4A patent/CN102819882B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1573815A (en) * | 2003-06-09 | 2005-02-02 | 欧姆龙株式会社 | Automatic ticket checker |
| JP2005196621A (en) * | 2004-01-09 | 2005-07-21 | Omron Corp | Automatic ticket gate |
| CN200965698Y (en) * | 2006-11-02 | 2007-10-24 | 广州中运计算机软件有限公司 | Automatic ticket checking machine |
| CN101893853A (en) * | 2010-08-05 | 2010-11-24 | 新太科技股份有限公司 | Judging algorithm of intelligent model-based self-learning human gate passageway |
| CN102184573A (en) * | 2011-04-20 | 2011-09-14 | 铁道部运输局 | Automatic ticket checking machine |
| CN202120330U (en) * | 2011-06-24 | 2012-01-18 | 北京兆维电子(集团)有限责任公司 | Automatic ticket checking machine |
Cited By (32)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103218863B (en) * | 2013-03-20 | 2015-10-28 | 山东大学 | A kind of Wheelchair Accessible machine bidirectional detection method based on pattern-recognition |
| CN103218863A (en) * | 2013-03-20 | 2013-07-24 | 山东大学 | Pattern recognition based barrier-free channel machine bidirectional detection method |
| CN103761780A (en) * | 2013-12-10 | 2014-04-30 | 广州地铁设计研究院有限公司 | Outbound swing door system for urban rail transit and ticket checking method |
| CN103778704A (en) * | 2014-02-11 | 2014-05-07 | 上海理工大学 | Intelligent identification method for gate accidents of urban mass transit |
| CN113464043A (en) * | 2015-07-01 | 2021-10-01 | 上海品翔电子科技有限公司 | Rotary gate |
| CN105046795A (en) * | 2015-08-28 | 2015-11-11 | 广州绿晶信息科技有限公司 | Passage gate for checking attendance by photographing and working method of passage gate |
| CN105354898A (en) * | 2015-09-10 | 2016-02-24 | 北京中软万维网络技术有限公司 | Scissor-like door gate transit logic identification device and method |
| CN107689085A (en) * | 2016-08-05 | 2018-02-13 | 陈建平 | A kind of ticket-checking system of urban track traffic |
| CN106846501B (en) * | 2016-12-21 | 2019-06-28 | 嵊州市雾非雾机械设备商行 | A kind of station fingerprint ticket-checking system |
| CN106846501A (en) * | 2016-12-21 | 2017-06-13 | 吴中区穹窿山倪源交通器材经营部 | A kind of station fingerprint ticket-checking system |
| CN108241177A (en) * | 2016-12-26 | 2018-07-03 | 航天信息股份有限公司 | The anti-trailing detecting system and detection method of single transit passage |
| CN107176425A (en) * | 2016-12-29 | 2017-09-19 | 杭州福斯特应用材料股份有限公司 | A kind of automatic material transportation system |
| CN107015835A (en) * | 2017-04-21 | 2017-08-04 | 南京理工大学 | A kind of collocation method of gate infrared detection light curtain |
| CN108597067A (en) * | 2018-03-20 | 2018-09-28 | 苏洋 | Intelligent channel monitoring equipment, intelligent channel clearance system and the method for inspection |
| CN108537939A (en) * | 2018-07-13 | 2018-09-14 | 赵俊军 | System of real name verifying system and system of real name veritify gate |
| CN109241882A (en) * | 2018-08-22 | 2019-01-18 | 深圳市道尔智控科技股份有限公司 | A kind of personal identification method of multidimensional personal identification channel management device |
| CN109241882B (en) * | 2018-08-22 | 2022-04-19 | 深圳市道尔智控科技股份有限公司 | Personnel identification method of multidimensional personnel identification channel management device |
| CN109493434A (en) * | 2018-09-13 | 2019-03-19 | 贵州欢旅途遇科技有限公司 | A kind of tourism data removing management system and its application method based on block chain |
| CN109584409B (en) * | 2018-10-11 | 2022-02-01 | 深圳市上和科技有限公司 | Channel turn system |
| CN109584409A (en) * | 2018-10-11 | 2019-04-05 | 深圳市上和科技有限公司 | A kind of channel circle system |
| US12077924B2 (en) | 2019-07-22 | 2024-09-03 | Magnetic Autocontrol Gmbh | Passage control device |
| CN114144819B (en) * | 2019-07-22 | 2024-07-05 | 马格内梯克自动控制有限公司 | Channel control device |
| CN114144819A (en) * | 2019-07-22 | 2022-03-04 | 马格内梯克自动控制有限公司 | Channel control device |
| CN113393603A (en) * | 2020-03-11 | 2021-09-14 | 杭州海康威视数字技术股份有限公司 | Control method and system of channel gate |
| CN113674469A (en) * | 2020-05-14 | 2021-11-19 | 凯拔格伦仕慈股份有限公司 | Traffic identification system and method for contactless monitoring |
| CN111768520A (en) * | 2020-06-04 | 2020-10-13 | 站坐(北京)科技有限公司 | Target detection device and method |
| CN111768520B (en) * | 2020-06-04 | 2023-01-24 | 站坐(北京)科技有限公司 | Target detection device and method |
| CN113870472A (en) * | 2021-10-20 | 2021-12-31 | 北京中成科信科技发展有限公司 | Automatic swing gate system |
| CN115263155B (en) * | 2022-08-05 | 2024-04-19 | 欧必翼(北京)安防科技有限公司 | Unidirectional backflow prevention channel system and control method thereof |
| CN115263155A (en) * | 2022-08-05 | 2022-11-01 | 欧必翼(北京)安防科技有限公司 | One-way backflow prevention channel system and control method thereof |
| CN118053231A (en) * | 2024-04-15 | 2024-05-17 | 盛视科技股份有限公司 | Pedestrian passageway door opening sensing method and passageway gate equipment |
| CN118053231B (en) * | 2024-04-15 | 2024-07-02 | 盛视科技股份有限公司 | Pedestrian passageway door opening sensing method and passageway gate equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102819882B (en) | 2015-05-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102819882B (en) | Identification control system and identification method for passing objects in automatic ticket inspection pedestrian passageway | |
| CN201498035U (en) | Passenger passing control device of subway AFC system | |
| CN201311671Y (en) | Anti-tracking passage of multi-user detection algorithm based on walking pattern mode tracking | |
| CN104805784B (en) | Gate fare evasion detection system and gate fare evasion detection method | |
| CN104809887B (en) | A kind of retrograde detection method of vehicle on expressway and autoalarm | |
| CN103886756B (en) | Based on the freeway network method for detecting operation state of OBU | |
| CN102779359B (en) | Automatic ticket checking device for performing passage detection based on depth image | |
| CN107948166A (en) | Traffic anomaly detection method and device based on deep learning | |
| CN101893853A (en) | Judging algorithm of intelligent model-based self-learning human gate passageway | |
| CN102005069A (en) | Anti-tailing system using multi-person detection algorithm based on gait pattern tracking | |
| CN211872759U (en) | Unmanned on duty AB gate channel brake | |
| CN205354095U (en) | Automatic current object recognition device among ticket checking pedestrain passage | |
| KR102109647B1 (en) | System for counting ride of public transportation using deep learning and method thereof | |
| CN109644360A (en) | A method of differentiating that pedestrian flows to using WI-FI probe | |
| CN107025418A (en) | Anti- detection method of stealing a ride, detecting system and its system based on image procossing | |
| CN103942869B (en) | A kind of method that testing staff passes in and out quantity in construction elevator | |
| CN103778704A (en) | Intelligent identification method for gate accidents of urban mass transit | |
| CN110209999A (en) | A kind of mobile unit failure trend prediction method | |
| CN108280952A (en) | Passenger trailing monitoring method based on foreground object segmentation | |
| CN102859104A (en) | Safety apparatus for closing and opening a door | |
| CN106355884A (en) | Expressway vehicle guiding system and expressway vehicle guiding method based on vehicle classification | |
| CN114267173B (en) | Multisource data fusion method, device and equipment for space-time characteristics of expressway | |
| CN105513362B (en) | A kind of bus platform adjacent area bus running state evaluation verification method | |
| CN109521500A (en) | A kind of passenger station safety check cooperative control method and system | |
| CN102663833A (en) | Method for identifying traffic events for special gate of urban railway transit |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |