CN111516708A - Subway platform door obstacle detection early warning system based on machine vision technology - Google Patents
Subway platform door obstacle detection early warning system based on machine vision technology Download PDFInfo
- Publication number
- CN111516708A CN111516708A CN201910105982.3A CN201910105982A CN111516708A CN 111516708 A CN111516708 A CN 111516708A CN 201910105982 A CN201910105982 A CN 201910105982A CN 111516708 A CN111516708 A CN 111516708A
- Authority
- CN
- China
- Prior art keywords
- camera
- platform door
- subway platform
- early warning
- train
- 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.)
- Withdrawn
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 51
- 238000005516 engineering process Methods 0.000 title abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 52
- 238000004891 communication Methods 0.000 claims abstract description 17
- 230000004888 barrier function Effects 0.000 claims description 12
- 230000007246 mechanism Effects 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 9
- 238000009434 installation Methods 0.000 claims description 7
- 230000008569 process Effects 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 3
- 230000006399 behavior Effects 0.000 description 10
- 230000007123 defense Effects 0.000 description 5
- 238000013461 design Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000001681 protective effect Effects 0.000 description 3
- 239000000428 dust Substances 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61B—RAILWAY SYSTEMS; EQUIPMENT THEREFOR NOT OTHERWISE PROVIDED FOR
- B61B1/00—General arrangement of stations, platforms, or sidings; Railway networks; Rail vehicle marshalling systems
- B61B1/02—General arrangement of stations and platforms including protection devices for the passengers
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
Abstract
The invention discloses a subway platform door obstacle detection early warning system based on a machine vision technology, which comprises: the monitoring system comprises a camera, a cache device in communication connection with the camera, a monitoring unit in communication connection with the cache device and the camera, and an alarm device in communication connection with the monitoring unit; the two cameras are respectively arranged on the mechanical structures arranged on the two sides of the subway platform door, have a certain height from the ground and face the detected area of the subway platform door. The system of the invention uses the machine vision technology, has three-dimensional attributes, can judge the key information such as the occurrence time, the belonged type and the occurrence position of the obstacle of the detection object in real time, can comprehensively evaluate whether the obstacle is dangerous or not, and relieves the dangerous obstacle or the behavior of the dangerous obstacle before the signal handover of the platform door and the train, and has the timeliness, the reliability and the safety superior to the traditional detection early warning system.
Description
Technical Field
The invention relates to the technical field of monitoring and early warning, in particular to a subway platform door obstacle detection and early warning system based on a machine vision technology.
Background
Considering the shaking of the vehicle during operation and the influence of deformation of the subway platform door caused by various loads, a certain gap is reserved between the subway platform door and the train. However, it is the existence of this gap that introduces a new safety hazard for the operation of the subway system. Especially, passengers are pinched or trapped in the gap, and the loss and influence on the subway operation system are serious. Therefore, it is very important to set up a stable and reliable obstacle detection early warning system.
At present, detection early warning systems such as infrared rays or lasers exist, but the systems are in a passive detection mode, detection actions only occur after a subway platform door system and train signals are connected, and the defects of low timeliness, poor reliability and high false alarm rate exist. Meanwhile, the detection mode cannot identify the type of the barrier and further cannot detect dangerous behaviors of the barrier, so that the detection range of the passive detection system can not meet the operation requirement of the conventional subway platform door system.
Disclosure of Invention
The embodiment of the invention provides a subway platform door obstacle detection and early warning system based on a machine vision technology, and aims to provide a detection and early warning system with higher timeliness, reliability and safety.
The technical scheme adopted by the invention is as follows:
a subway platform door obstacle detection early warning system based on machine vision technology includes: the monitoring system comprises a camera, a cache device in communication connection with the camera, a monitoring unit in communication connection with the cache device and the camera, and an alarm device in communication connection with the monitoring unit; the two cameras are respectively arranged on the mechanical structures arranged on the two sides of the subway platform door, have a certain height from the ground and face the detected area of the subway platform door.
In one implementation, two mechanical structures are respectively arranged on two sides of a subway platform door, and two cameras are respectively arranged on the two mechanical structures; the mechanical structure includes: the camera mounting structure comprises a camera mounting bracket fixed on the ground and a camera mounting and adjusting mechanism adjustably mounted at the upper end of the camera mounting bracket, wherein a camera mounting position is arranged on the camera mounting and adjusting mechanism.
Further, mechanical structure is still including installing in camera installing support upper end, being used for protecting the outer protection casing of camera and transparent backplate of camera, the outer protection casing of camera holds whole camera in its inside protection space, transparent backplate is located before the camera lens.
In one implementation, the subway platform door includes fixed door units located at two sides and a sliding door unit located in the middle, the two cameras are respectively disposed at the outer sides of the fixed door units at two sides, and the detection area refers to a passage area formed by the sliding door units and a gap between the fixed door units and a train.
In one implementation, the camera is configured to capture images of obstacles in a detection area; the cache device is used for storing the acquired image data according to a time sequence; the monitoring unit is used for analyzing and processing the acquired image data, identifying the type of the barrier, judging whether the barrier is dangerous or not and sending an alarm instruction when the danger is identified; the alarm device is used for giving an alarm when receiving an alarm instruction.
Further, the monitoring unit is further configured to classify and sort the image data from the cache device, where the classifying and sorting includes: time-series classification, obstacle-class classification, and risk classification.
Furthermore, the monitoring unit is also used for being in communication connection with the subway platform door control unit and providing monitoring data, so that the subway platform door control unit controls the subway platform door by combining the obtained monitoring data.
Furthermore, the camera is in communication connection with a central monitoring center of the station and provides monitoring data.
Furthermore, the camera, the cache device, the monitoring unit, the alarm device and the station central monitoring center jointly form an obstacle detection and identification system; the obstacle detection and identification system is used for identifying obstacles before the train enters the station or leaves the station, and controlling the train not to enter the station or leave the station if the obstacles exist; and the system is used for identifying the obstacles in the process of train stop, judging whether danger exists near the platform door or not, and executing corresponding operation according to the judgment result.
Further, the alarm device is also used for sending train arrival early warning, train stop early warning and train departure early warning.
According to the technical scheme, the embodiment of the invention has the following advantages:
the subway platform door obstacle detection early warning system based on the machine vision technology uses the machine vision technology, has three-dimensional attributes, can judge key information such as the occurrence time, the type and the occurrence position of a detected object obstacle in real time, can comprehensively evaluate whether the obstacle is dangerous or not, and relieves the dangerous obstacle or the behavior of the dangerous obstacle before the signal handover of a platform door and a train, and has timeliness, reliability and safety superior to those of the traditional detection early warning system.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic block diagram of a subway platform barrier detection early warning system based on a machine vision technology according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a subway platform door obstacle detection early warning system based on a machine vision technology according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a detection area of a subway platform door obstacle detection early warning system based on a machine vision technology in an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "including" and "having," and any variations thereof, in the description and claims of this invention and the above-described drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The following are detailed descriptions of the respective embodiments.
Referring to fig. 1 and fig. 2, an embodiment of the present invention provides a subway platform barrier detection and early warning system (herein, referred to as a detection and early warning system) based on a machine vision technology. This detect early warning system includes:
the device comprises a camera 1, a caching device 6 in communication connection with the camera 1, a monitoring unit 7 in communication connection with the caching device 6 and the camera 1, and an alarm device 8 in communication connection with the monitoring unit 7. The two cameras 1 are respectively installed on mechanical structures arranged on two sides of the subway platform door, have a certain height from the ground and face a detected area of the subway platform door.
The subway platform door comprises fixed door units positioned on two sides and a sliding door unit positioned in the middle, and the two cameras 1 are respectively arranged on the outer sides of the fixed door units on the two sides. The detection area refers to a passage area formed by the sliding door unit and a gap between the fixed door unit and the train. As shown in fig. 3, the present invention divides the detection area 9 into a left defence area and a right defence area according to the left and right.
Wherein, the two mechanical structures are respectively arranged at two sides of a subway platform door, and the two cameras 1 are respectively arranged on the two mechanical structures; the two cameras 1 work cooperatively, are oppositely arranged in orientation, carry out video acquisition on a detected area, and form shooting cross overlapping dead-angle-free shooting and large-area shooting in the detected area. Through the cooperative collection of multiple cameras, the shooting area can reach 1600mm (height) 2500mm (width), and the large area, no dead angle and high-precision detection are completed.
Preferably, the camera is typically mounted at a height of 1.2 meters or more.
Two cameras 1 set up the outside at the fixed door unit on both sides respectively through two mechanical structure, can play the effect that enlarges obstacle detection range to reduce the visual influence to the passenger, keep away from the sliding door unit simultaneously, avoid because of the retardation influence that produces when urgent sparse.
The mechanical structure may include: fix camera installing support 2 on ground and install camera installation adjustment mechanism 3 in camera installing support 2 upper end with adjustable, be equipped with camera installation position on camera installation adjustment mechanism 3 to installation camera 1.
Optionally, the mechanical structure may further include an outer camera protection cover 4 and a transparent protection plate 5, which are installed on the upper end of the camera mounting bracket 2 and used for protecting the camera 1, the outer camera protection cover 4 accommodates the whole camera in an inner protection space thereof, and the transparent protection plate 5 is located in front of a camera lens. The transparent protective plate has the function of isolating the camera and related equipment from the platform environment, prevents dust caused by subway operation from damaging the lens, and can protect the equipment from being damaged by passengers intentionally or unintentionally. That is to say, the embedded design of camera can make the system stand the influence of the severe environment dust of subway operation.
Optionally, the camera mounting bracket 2 may be mounted on the platform plate of the ground platform door station through an equipment fixing rack, so as to implement a stability design and a vibration isolation design. The equipment fixing rack can be connected with the camera mounting bracket 2 in a welding mode, and the movement of the mounting position caused by the weight and vibration of the camera mounting bracket 2 is avoided. Meanwhile, the equipment fixing rack can be provided with an arc-shaped long hole which forms an adjusting mechanism with the bolt, so that the camera mounting bracket 2 is arranged at a better position.
Optionally, the camera mounting adjustment mechanism 3 is provided with an access hole for mounting a micro-adjustment and mechanical locking device to have mounting adjustability and mechanical locking performance.
The mechanical structure has installation adjustability, can adapt to the special installation requirements of the rail transit operating environment, and the outer protective cover and the transparent protective plate enable the physical system to have high waterproof and dustproof performance and prevent foreign objects from being damaged.
As described above, the camera 1, the cache device 6, the monitoring unit 7, and the alarm device 8 together form a monitoring system, the camera mounting bracket 2, the camera mounting adjustment mechanism 3, the camera outer shield 4, and the transparent shield 5 together form a mechanical structure, and the monitoring system and the mechanical structure together form a detection and early warning system of the present invention.
In the following, the functions of the various components of the monitoring system are described as follows:
the camera 1 is used for acquiring images of obstacles in a detection area, particularly real-time images of dangerous obstacles and behaviors thereof, and rapidly transmitting acquired image data to the cache device 6 and the monitoring unit 7 according to specific characteristics;
the cache device 6 is used for storing the acquired image data according to a time sequence, and particularly storing real-time images of dangerous obstacles and behaviors thereof according to the time sequence; the monitoring unit can conveniently and rapidly download and use the related image data;
the monitoring unit 7 can perform active obstacle recognition, and is specifically used for analyzing and processing acquired image data, recognizing the types of obstacles, and giving feedback information according to a judgment standard, namely judging whether a passenger is dangerous or not, for example, judging whether the passenger is trapped in a gap between the fixed door unit and a train or not, and sending an alarm instruction when the danger is recognized;
the alarm device 8 is used for giving an alarm when receiving an alarm instruction, and the alarm device 8 can be an independent alarm device arranged near a subway platform door, or can also adopt the existing platform door early warning system, or adopt both the alarm device and the platform door early warning system.
The monitoring unit 7 can determine whether the platform door warning system gives an alarm or an independent warning device gives an alarm according to the condition of the obstacle.
Further, the monitoring unit 7 is further configured to identify and classify the image data from the cache device, where the classifying includes: time-series classification, obstacle-class classification, and risk classification. The image data acquired by the camera is mainly embodied in the time sequence of recording the image, the type of the image content, the main body of the image content and the position where the behavior of the main body of the image content occurs, and the like.
Further, the monitoring unit 7 is also configured to communicate with the subway platform door control unit and provide monitoring data, so that the subway platform door control unit controls the subway platform door in combination with the obtained monitoring data. The monitoring unit 7 can actively input real-time images to the subway platform door control unit, or can also call and transmit image data in any past time period from the buffer equipment according to the requirements of the subway platform door control unit.
Further, the camera 1 is also in communication connection with a central monitoring center of a station and provides monitoring data. The image data can be remotely viewed on line through the central monitoring center of the station, and can be further remotely and wirelessly viewed through the client. The station central monitoring center can be used for online real-time manual access, and further authorized clients can be used for online real-time manual access through the station central monitoring center.
The monitoring unit 7 can directly monitor the camera 1, and can read data on line in real time when necessary, and meanwhile, the working state of the camera 1 is controlled by the monitoring unit 7 in real time. The monitoring unit 7 reports information to the station central monitoring center, and meanwhile, the station central monitoring center can read the image data of the camera 1 in real time on line when needed, so that the station central monitoring center can check and judge the type of the barrier and whether manual intervention is needed.
Further, the camera 1, the cache device 6, the monitoring unit 7, the alarm device 8 and the central monitoring center of the station jointly form an obstacle detection and identification system. The obstacle detection and identification system is used for identifying obstacles before the train enters the station or leaves the station, and controlling the train not to enter the station or leave the station if the obstacles exist; and the system is used for identifying the barrier when the train stops, judging whether a danger exists near the platform door or not, and executing corresponding operation according to a judgment result.
Specifically, the method comprises the following steps: before the train enters or leaves the station, the obstacle detection scanning can be carried out in the defense area, the camera records image data, the monitoring unit compares and compares the image data input by the camera, and if the obstacle exists, the train cannot enter or leave the station. When a train stops, passengers get on or off the train through the sliding door channel, during the period, obstacles may enter a gap between the train and a platform intentionally or unintentionally, the camera can shoot in real time, the monitoring unit identifies possible dangers, and the judgment result is transmitted to the subway platform door control unit.
Further, the alarm device 8 is also used for sending train arrival early warning, train stop early warning and train departure early warning.
As described above, the camera can be used to record the images of the obstacles in the station defense area (i.e., in the detection area) in real time and input the images to the buffer device and the monitoring unit. The monitoring unit can be used for classifying the image information and giving feedback information according to a judgment standard, namely judging whether the image information is a dangerous obstacle or not, if so, sending an alarm instruction, and if not, tracking until danger disappears. The early warning system can be used for giving an alarm in real time in a platform door application scene, and meanwhile, the judgment result can be transmitted to a station central monitoring center, so that whether the station authorized personnel perform manual intervention or not can be conveniently determined, and the station central monitoring center can determine whether the authorized manual intervention is performed or not by combining information fed back by the monitoring unit.
It is worth noting that the classification process described herein refers to identifying and classifying obstacles entering the detection area. The time-series classification or time-series classification may include: before the train enters the station, the train stops stably and passes through the sliding door channel to get on and off passengers, and before the train leaves the station, and the like. Classifying by obstacle category or by image content may include: passengers, small animals, objects, articles carried by passengers (image contents), dangerous behaviors of passengers or objects (behaviors of image subjects).
In this context, the camera may be an industrial camera, such as an industrial color camera, which has features of small size, low power, POE power, etc., so that the color camera is a preferred practice of the present invention, and the infrared camera and other types of cameras can also be applied to the system, and shall fall within the protection scope of the present invention.
In this document, the detection area, also referred to as a detection alarm defense area, is enlarged from a conventional sliding door passage area to a fixed door unit adjacent to the sliding door passage, including a gap between the fixed door unit and the train, compared with the defense area of a conventional detection early warning system.
Compared with the traditional prediction early warning system, the red warning system is changed from a passive mode to an active mode, the active mode is mainly embodied in that the monitoring unit identifies and judges dangerous behaviors, for example, passengers cross a platform door at the platform side, throws objects to the rail side or forcibly enter a defense area, when the behaviors occur, the monitoring unit immediately sends out a warning instruction, and the central monitoring system of the station can judge whether authorized personnel need to perform manual intervention to perform broadcast warning or inform station staff to perform manual prevention according to actual conditions. The invention advances the detection and alarm of the barrier to the front of the train entering the station or exiting the station.
It should be noted that the detection early warning system of the present invention can be used in a half-height safety door system of a subway platform door, and can also be used in a screen door system.
In summary, the embodiments of the present invention provide a subway platform barrier detection early warning system based on machine vision technology, and by adopting the above technical solutions, the embodiments of the present invention have the following advantages:
the subway platform door obstacle detection early warning system based on the machine vision technology uses the machine vision technology, has three-dimensional attributes, can judge key information such as the occurrence time, the type and the occurrence position of a detected object obstacle in real time, can comprehensively evaluate whether the obstacle is dangerous or not, and relieves the dangerous obstacle or the behavior of the dangerous obstacle before the signal handover of a platform door and a train, and has timeliness, reliability and safety superior to those of the traditional detection early warning system.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.
The above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; those of ordinary skill in the art will understand that: the technical solutions described in the above embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The utility model provides a subway platform door obstacle detects early warning system based on machine vision technique which characterized in that includes: the monitoring system comprises a camera, a cache device in communication connection with the camera, a monitoring unit in communication connection with the cache device and the camera, and an alarm device in communication connection with the monitoring unit; the two cameras are respectively arranged on the mechanical structures arranged on the two sides of the subway platform door, have a certain height from the ground and face the detected area of the subway platform door.
2. The system of claim 1,
the mechanical structure includes: the camera mounting structure comprises a camera mounting bracket fixed on the ground and a camera mounting and adjusting mechanism adjustably mounted at the upper end of the camera mounting bracket, wherein a camera mounting position is arranged on the camera mounting and adjusting mechanism.
3. The system of claim 2,
the mechanical structure is characterized by further comprising an outer camera protection cover and a transparent protection plate, wherein the outer camera protection cover and the transparent protection plate are installed at the upper end of the camera installation support and used for protecting the camera, the outer camera protection cover of the camera accommodates the whole camera in the inner protection space of the outer camera protection cover, and the transparent protection plate is located in front of the camera lens.
4. The system of claim 1,
the subway platform door comprises fixed door units positioned on two sides and a sliding door unit positioned in the middle, the two cameras are respectively arranged on the outer sides of the fixed door units on the two sides, and the detection area refers to a passage area formed by the sliding door units and a gap between the fixed door units and a train.
5. The system according to any one of claims 1 to 4,
the camera is used for acquiring images of obstacles in the detection area;
the cache device is used for storing the acquired image data according to a time sequence;
the monitoring unit is used for analyzing and processing the acquired image data, identifying the type of the barrier, judging whether the barrier is dangerous or not and sending an alarm instruction when the danger is identified;
the alarm device is used for giving an alarm when receiving an alarm instruction.
6. The system of claim 5,
the monitoring unit is further configured to classify and sort the image data from the cache device, where the classification and sorting includes: time-series classification, obstacle-class classification, and risk classification.
7. The system of claim 5,
the monitoring unit is also used for being in communication connection with the subway platform door control unit and providing monitoring data so that the subway platform door control unit can control the subway platform door by combining the obtained monitoring data.
8. The system of claim 5,
the camera is also in communication connection with a central monitoring center of the station and provides monitoring data.
9. The system of claim 8,
the camera, the cache device, the monitoring unit, the alarm device and the station central monitoring center jointly form an obstacle detection and identification system;
the obstacle detection and identification system is used for identifying obstacles before the train enters the station or leaves the station, and controlling the train not to enter the station or leave the station if the obstacles exist; and the system is used for identifying the obstacles in the process of train stop, judging whether danger exists near the platform door or not, and executing corresponding operation according to the judgment result.
10. The system of claim 5,
the alarm device is also used for sending train arrival early warning, train stop early warning and train departure early warning.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910105982.3A CN111516708A (en) | 2019-02-01 | 2019-02-01 | Subway platform door obstacle detection early warning system based on machine vision technology |
| PCT/CN2019/077231 WO2020155294A1 (en) | 2019-02-01 | 2019-03-06 | Machine vision technology-based obstacle detection and early-warning system for subway platform door |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910105982.3A CN111516708A (en) | 2019-02-01 | 2019-02-01 | Subway platform door obstacle detection early warning system based on machine vision technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111516708A true CN111516708A (en) | 2020-08-11 |
Family
ID=71841564
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910105982.3A Withdrawn CN111516708A (en) | 2019-02-01 | 2019-02-01 | Subway platform door obstacle detection early warning system based on machine vision technology |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN111516708A (en) |
| WO (1) | WO2020155294A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112406961A (en) * | 2020-11-24 | 2021-02-26 | 南京康尼电子科技有限公司 | Platform door video obstacle detection control system and method |
| CN112507998A (en) * | 2021-02-08 | 2021-03-16 | 南京信息工程大学 | Shielding door pedestrian waiting reminding system and method based on machine vision |
| CN115320668A (en) * | 2022-08-05 | 2022-11-11 | 卡斯柯信号有限公司 | Platform door state detection system and method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004042777A (en) * | 2002-07-11 | 2004-02-12 | Matsushita Electric Ind Co Ltd | Obstacle detector |
| CN101898567A (en) * | 2010-04-07 | 2010-12-01 | 西南交通大学 | Railway foreign body limit-intruding monitoring system based on intelligent video |
| KR101066562B1 (en) * | 2011-02-15 | 2011-09-21 | 지에스네오텍(주) | Screen door system using stereo image |
| CN104847211A (en) * | 2015-03-24 | 2015-08-19 | 江苏科技大学 | Auxiliary system for safety of platform safety doors and train door sections and implementation method thereof |
| CN107672625A (en) * | 2017-10-10 | 2018-02-09 | 深圳市信海通科技有限公司 | High-speed railway circumference intrusion alarm system |
| CN207241692U (en) * | 2017-09-28 | 2018-04-17 | 天津天乐泰力科技有限公司 | A kind of video detection system for being used for gap between train and platform screen door |
| CN209505732U (en) * | 2019-02-01 | 2019-10-18 | 方大智创科技有限公司 | A kind of subway platform door obstacle detection early warning system based on machine vision technique |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103091724B (en) * | 2013-01-31 | 2015-12-02 | 华南理工大学 | Foreign matter automatic testing method and device thereof between straight line metro platform shield door and train |
| CN105317310A (en) * | 2014-07-14 | 2016-02-10 | 广州天赋人财光电科技有限公司 | Platform screen door and train door anti-pinch ultralimit monitoring system and method based on machine vision |
| CN104777521A (en) * | 2015-03-24 | 2015-07-15 | 广州市地下铁道总公司 | Binocular-vision-based detection system for foreign matter between train door and platform shield gate, as well as detection method for detection system |
| CN105242614A (en) * | 2015-11-17 | 2016-01-13 | 广州新科佳都科技有限公司 | Platform screen door safety protection control method and system |
| CN106864463B (en) * | 2017-01-26 | 2020-03-17 | 广州地铁设计研究院股份有限公司 | Overhead foreign matter detection system between subway platform door and door |
| CN108454635A (en) * | 2018-03-31 | 2018-08-28 | 广州明森科技股份有限公司 | A kind of foreign matter detection system between the shield door and train door of subway platform |
-
2019
- 2019-02-01 CN CN201910105982.3A patent/CN111516708A/en not_active Withdrawn
- 2019-03-06 WO PCT/CN2019/077231 patent/WO2020155294A1/en active Application Filing
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004042777A (en) * | 2002-07-11 | 2004-02-12 | Matsushita Electric Ind Co Ltd | Obstacle detector |
| CN101898567A (en) * | 2010-04-07 | 2010-12-01 | 西南交通大学 | Railway foreign body limit-intruding monitoring system based on intelligent video |
| KR101066562B1 (en) * | 2011-02-15 | 2011-09-21 | 지에스네오텍(주) | Screen door system using stereo image |
| CN104847211A (en) * | 2015-03-24 | 2015-08-19 | 江苏科技大学 | Auxiliary system for safety of platform safety doors and train door sections and implementation method thereof |
| CN207241692U (en) * | 2017-09-28 | 2018-04-17 | 天津天乐泰力科技有限公司 | A kind of video detection system for being used for gap between train and platform screen door |
| CN107672625A (en) * | 2017-10-10 | 2018-02-09 | 深圳市信海通科技有限公司 | High-speed railway circumference intrusion alarm system |
| CN209505732U (en) * | 2019-02-01 | 2019-10-18 | 方大智创科技有限公司 | A kind of subway platform door obstacle detection early warning system based on machine vision technique |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112406961A (en) * | 2020-11-24 | 2021-02-26 | 南京康尼电子科技有限公司 | Platform door video obstacle detection control system and method |
| CN112406961B (en) * | 2020-11-24 | 2023-01-24 | 南京康尼电子科技有限公司 | Platform door video obstacle detection control system and method |
| CN112507998A (en) * | 2021-02-08 | 2021-03-16 | 南京信息工程大学 | Shielding door pedestrian waiting reminding system and method based on machine vision |
| CN115320668A (en) * | 2022-08-05 | 2022-11-11 | 卡斯柯信号有限公司 | Platform door state detection system and method |
| CN115320668B (en) * | 2022-08-05 | 2023-08-18 | 卡斯柯信号有限公司 | Platform door state detection system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020155294A1 (en) | 2020-08-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP4105101A1 (en) | Monitoring system, monitoring method, and monitoring device for railway train | |
| US7328871B2 (en) | Railroad car coupler gap analyzer | |
| CN111516708A (en) | Subway platform door obstacle detection early warning system based on machine vision technology | |
| US20070291985A1 (en) | Intelligent railyard monitoring system | |
| KR101036947B1 (en) | The automatic guard system to prevent the crime and accident using computer video image analysis technology | |
| CN112633057B (en) | Intelligent monitoring method for abnormal behavior in bus | |
| CN112686090B (en) | Intelligent monitoring system for abnormal behavior in bus | |
| CN210899299U (en) | Tunnel monitoring system | |
| CN204990743U (en) | Superelevation vehicle early warning system | |
| CN104658188A (en) | Channel security early-warning system and channel early-warning method | |
| CN111080878A (en) | Construction site safety monitoring method and device based on artificial intelligence | |
| KR100690279B1 (en) | Multipurpose video image detection system | |
| CN103438924B (en) | Bow net of electric locomotive on-line detecting system and detection method | |
| CN212112606U (en) | Novel shipborne safety management and control system | |
| CN209505732U (en) | A kind of subway platform door obstacle detection early warning system based on machine vision technique | |
| KR102012657B1 (en) | System, server and method for monitoring environment | |
| CN102779384B (en) | Perimeter protection alarm system and method applying same | |
| CN112528791A (en) | Anti-intrusion system and method for railway station yard | |
| CN112406961A (en) | Platform door video obstacle detection control system and method | |
| KR101266015B1 (en) | Monitoring System for Safety Line and railroad track of platform | |
| KR100661264B1 (en) | Automatical danger detecting system at railroad crossing using thermal image camera | |
| KR200459886Y1 (en) | Black Box | |
| KR100444929B1 (en) | Image processing alarm system and method for automatically sensing unexpected accident at train platform | |
| KR102011225B1 (en) | Security management system using drone and method for processing thereof | |
| CN202169951U (en) | Personal safety protecting system for train inspection work |
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 | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200811 |