CN112382126A - Parking space occupation analysis method based on video - Google Patents
Parking space occupation analysis method based on video Download PDFInfo
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- CN112382126A CN112382126A CN202011271419.2A CN202011271419A CN112382126A CN 112382126 A CN112382126 A CN 112382126A CN 202011271419 A CN202011271419 A CN 202011271419A CN 112382126 A CN112382126 A CN 112382126A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
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Abstract
The invention discloses a video-based parking space occupation analysis method which mainly comprises a plurality of cameras, a vehicle identification service terminal, an information terminal, a video identification service terminal and a system server. This parking stall occupation analysis method based on video, the video that effectual reduction staff passes through the monitor is to the real time monitoring of every parking stall, through the camera and vehicle identification terminal, improve and take notes the vehicle of every parking stall, collect the information of vehicle in a set, improve the efficiency of control, the vehicle information that will gather through the camera is analyzed and is contrasted through with vehicle characteristic block storehouse, carry out AI and calculate, the information of the various characteristic blocks of vehicle finally reachs, carry out the analysis with the parking stall information of binding, whether reach the parking stall vehicle and park, whether belong to the vehicle that this parking stall recorded, thereby draw the conclusion fast, improve the analysis efficiency to the parking stall, in order to in time handle.
Description
Technical Field
The invention relates to the technical field of parking space analysis of a parking lot, in particular to a video-based parking space occupation analysis method.
Background
The parking lot is a place for parking vehicles, the parking lot has a simple parking lot which only draws parking spaces and is not managed and charged by people, and also has a charging parking lot provided with a gate, a parking manager and a timing cashier, and modern parking lots are often provided with an automatic timing charging system, a closed circuit television and a video recorder system.
However, the inside parking stall of current parking area is more, there is not fine management system to the control on parking stall, lead to the parking stall to be taken at will, can't carry out centralized management, current parking area monitored control system simultaneously, all monitor and manage every parking stall through the mode of watching the control, and is great in quantity, can't in time supervise, waste time and energy, and efficiency is still low, can't have the vehicle to park to the parking stall simultaneously, and the information of vehicle does not have fine analysis and processing system, lead to the parking stall control in parking area not in place, greatly reduced the practicality.
Disclosure of Invention
The invention aims to provide a video-based parking space occupation analysis method to solve the problems that the conventional parking space occupation analysis method in a parking lot has more parking spaces, no good management system is provided for monitoring the parking spaces, so that the parking spaces are occupied randomly and cannot be managed in a centralized manner, and meanwhile, the conventional parking space monitoring system monitors and manages each parking space in a monitoring mode, is large in quantity, cannot supervise in time, wastes time and labor, is low in efficiency, cannot determine whether a vehicle is parked in the parking spaces, and has no good analysis and processing system for information of the vehicle, so that the parking space monitoring in the parking lot is not in place, and the practicability is greatly reduced.
In order to achieve the purpose, the invention provides the following technical scheme: the parking space occupation analysis method based on the video mainly comprises a plurality of cameras, a vehicle identification service terminal, an information terminal, a video identification service terminal and a system server;
the cameras are arranged at each corner of the parking lot;
the vehicle identification service terminal is arranged in a monitoring room of the parking lot;
collecting a vehicle image through a camera;
preprocessing the collected vehicle image to obtain a clear vehicle image;
extracting vehicle characteristic blocks from the obtained clear vehicle image, wherein the vehicle characteristic blocks comprise one or more of a vehicle head block, a license plate block, a vehicle tail block and a color block;
storing the vehicle characteristic blocks, the clear vehicle images and the corresponding parking space information in a system server, binding the parking space information with the vehicle characteristic blocks and the clear vehicle images respectively, and establishing unique mapping relations between the parking space information and the vehicle characteristic blocks and the clear vehicle images respectively;
transmitting the vehicle characteristic block to a video identification service terminal;
the video identification service terminal receives a vehicle feature block library in which the vehicle feature block is stored;
the video identification service terminal extracts the vehicle feature blocks of the vehicle images to be identified, AI algorithm calculation is carried out on the vehicle feature blocks of the vehicle images to be identified and the vehicle feature blocks in the vehicle feature blocks respectively, comparison is carried out, and when the comparison is successful, clear vehicle images matched with the vehicle images to be identified and corresponding parking space information are directly obtained.
The information terminal is connected with the system server through an electric signal;
the information terminal and the system server are both arranged in a monitoring room of the parking lot.
The step of preprocessing the vehicle image to obtain a clear vehicle image comprises the following steps:
recognizing the collected vehicle image through a vehicle recognition frame on the camera;
setting the coordinate of a self-exposure window of the identified vehicle image to be consistent with the coordinate of a vehicle identification frame of the camera, wherein the self-exposure window is larger than the vehicle identification frame;
and carrying out corresponding exposure on the exposure value of the corresponding self-exposure window in a self-adaptive configuration mode according to the intensity of the background light, and then obtaining a clear vehicle image.
The step of obtaining the clear vehicle image matched with the vehicle image to be identified and the corresponding parking space information comprises the following steps:
preprocessing the acquired vehicle image to obtain a clear vehicle image;
dividing a clear vehicle image into feature blocks, comparing the divided feature blocks with feature blocks in a vehicle feature block library, and controlling a vehicle identification service terminal to send a first request to a platform when one of the vehicle feature blocks is successfully compared;
the system server receives the first request and issues a corresponding clear vehicle image to the vehicle identification service terminal;
the vehicle identification service terminal compares the issued clear vehicle image with the vehicle image to be identified, the vehicle identification service terminal is controlled to issue a second request to the system server after the comparison is successful, the system server issues corresponding parking space information to the vehicle identification service terminal when receiving the second request, otherwise, the vehicle identification service terminal continues to compare the vehicle feature blocks of the vehicle image to be identified with other vehicle feature blocks in the vehicle feature block library respectively.
The steps of the vehicle feature block library and the video identification service terminal comprise:
the data of the vehicle images collected through the camera are accessed to the video recognition service terminal, and then compared with the vehicle characteristic block library, the vehicle head block, the license plate block, the vehicle tail block and the color block of the vehicle characteristic block are compared with each other, the vehicle model, the license plate number, the vehicle color and other aspects are compared with the vehicle characteristic block library, and then calculation is carried out through the AI algorithm of the video recognition service terminal.
The step of carrying out AI algorithm calculation on the vehicle feature block of the vehicle feature to be identified, the clear vehicle image and the corresponding parking space information comprises the following steps:
the clear vehicle image information and the corresponding parking space information which are successfully compared are bound, AI calculation is carried out on the vehicle characteristic blocks, the clear vehicle images and the corresponding parking space information, which are to be identified with the vehicle characteristics, after the binding, whether the vehicle information and the parking space information of the parking space are matched or not or whether the vehicle is parked on the parking space or not is finally obtained, and the calculation result is fed back to the information terminal.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the video-based parking space occupation analysis method, the cameras, the vehicle identification terminals and the system server are arranged, so that real-time monitoring of a worker on each parking space through videos of the monitor is effectively reduced, recording of vehicles in each parking space is improved through photographing of the cameras and the vehicle identification terminals, information of the vehicles is collected in a centralized mode, and monitoring efficiency is improved.
2. The parking space occupation analysis method based on the video comprises the steps that vehicle characteristic blocks and clear vehicle images are used, corresponding parking space information is bound, AI calculation is conducted in a video recognition service terminal and a video recognition service terminal, vehicle information collected by a camera is analyzed, the vehicle information is compared with a vehicle characteristic block library and is calculated, information of various characteristic blocks of a vehicle is obtained finally, the vehicle information is analyzed with the bound parking space information, whether the parking space is parked by the vehicle or not is obtained, whether the parking space belongs to the vehicle recorded in the parking space or not is obtained, a conclusion is obtained quickly, analysis efficiency of the parking space is improved, and timely processing is facilitated.
Drawings
Fig. 1 is a schematic view of a flow structure of a parking space occupancy analysis method of the present invention.
Detailed Description
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.
Referring to fig. 1, the present invention provides a technical solution: the parking space occupation analysis method based on the video mainly comprises a plurality of cameras, a vehicle identification service terminal, an information terminal, a video identification service terminal and a system server;
the cameras are arranged at each corner of the parking lot;
the vehicle identification service terminal is arranged in a monitoring room of the parking lot;
collecting a vehicle image through a camera;
preprocessing the collected vehicle image to obtain a clear vehicle image;
extracting vehicle characteristic blocks from the obtained clear vehicle image, wherein the vehicle characteristic blocks comprise one or more of a vehicle head block, a license plate block, a vehicle tail block and a color block;
storing the vehicle characteristic blocks, the clear vehicle images and the corresponding parking space information in a system server, binding the parking space information with the vehicle characteristic blocks and the clear vehicle images respectively, and establishing unique mapping relations between the parking space information and the vehicle characteristic blocks and the clear vehicle images respectively;
transmitting the vehicle characteristic block to a video identification service terminal;
the video identification service terminal receives a vehicle feature block library in which the vehicle feature block is stored;
the video identification service terminal extracts the vehicle feature blocks of the vehicle images to be identified, AI algorithm calculation is carried out on the vehicle feature blocks of the vehicle images to be identified and the vehicle feature blocks in the vehicle feature blocks respectively, comparison is carried out, and when the comparison is successful, clear vehicle images matched with the vehicle images to be identified and corresponding parking space information are directly obtained.
The information terminal is connected with the system server through an electric signal;
the information terminal and the system server are both arranged in a monitoring room of the parking lot.
Further, the step of preprocessing the vehicle image to obtain a clear vehicle image comprises:
recognizing the collected vehicle image through a vehicle recognition frame on the camera;
setting the coordinate of a self-exposure window of the identified vehicle image to be consistent with the coordinate of a vehicle identification frame of the camera, wherein the self-exposure window is larger than the vehicle identification frame;
and carrying out corresponding exposure on the exposure value of the corresponding self-exposure window in a self-adaptive configuration mode according to the intensity of the background light, and then obtaining a clear vehicle image.
Further, the step of obtaining the clear vehicle image matched with the vehicle image to be recognized and the corresponding parking space information comprises:
preprocessing the acquired vehicle image to obtain a clear vehicle image;
dividing a clear vehicle image into feature blocks, comparing the divided feature blocks with feature blocks in a vehicle feature block library, and controlling a vehicle identification service terminal to send a first request to a platform when one of the vehicle feature blocks is successfully compared;
the system server receives the first request and issues a corresponding clear vehicle image to the vehicle identification service terminal;
the vehicle identification service terminal compares the issued clear vehicle image with the vehicle image to be identified, the vehicle identification service terminal is controlled to issue a second request to the system server after the comparison is successful, the system server issues corresponding parking space information to the vehicle identification service terminal when receiving the second request, otherwise, the vehicle identification service terminal continues to compare the vehicle feature blocks of the vehicle image to be identified with other vehicle feature blocks in the vehicle feature block library respectively.
Further, the steps of the vehicle feature block library and the video identification service terminal include:
the data of the vehicle images collected through the camera are accessed to the video recognition service terminal, and then compared with the vehicle characteristic block library, the vehicle head block, the license plate block, the vehicle tail block and the color block of the vehicle characteristic block are compared with each other, the vehicle model, the license plate number, the vehicle color and other aspects are compared with the vehicle characteristic block library, and then calculation is carried out through the AI algorithm of the video recognition service terminal.
Further, the step of performing AI algorithm calculation on the vehicle feature block of the vehicle feature to be recognized, the clear vehicle image and the corresponding parking space information includes:
the clear vehicle image information and the corresponding parking space information which are successfully compared are bound, AI calculation is carried out on the vehicle characteristic blocks, the clear vehicle images and the corresponding parking space information, which are to be identified with the vehicle characteristics, after the binding, whether the vehicle information and the parking space information of the parking space are matched or not or whether the vehicle is parked on the parking space or not is finally obtained, and the calculation result is fed back to the information terminal.
The working principle is as follows: firstly, a vehicle image is collected through a set camera, the collected vehicle image is preprocessed to obtain a clear vehicle image after the vehicle image is collected, the collected vehicle image is identified through a vehicle identification frame on the camera, the coordinate of a self-exposure window of the identified vehicle image is set to be consistent with the coordinate of the vehicle identification frame of the camera, the self-exposure window is larger than the vehicle identification frame, the self-exposure window is configured to carry out corresponding exposure on the self-exposure window through the intensity of background light, then the clear vehicle image is obtained, a vehicle characteristic block is extracted from the obtained clear vehicle image, the vehicle characteristic block comprises one or more of a head block, a license plate block, a tail block and a tail block, and the vehicle characteristic block, the clear vehicle image and corresponding parking space information are stored in a system server, the parking space information is respectively bound with the vehicle characteristic blocks and the clear vehicle images, unique mapping relations are respectively established between the parking space information and the vehicle characteristic blocks and between the parking space information and the clear vehicle images, the vehicle characteristic blocks are transmitted to the video identification service terminal, the video identification service terminal receives the vehicle characteristic blocks stored in a vehicle characteristic block library, the video identification service terminal extracts the vehicle characteristic blocks of the vehicle images to be identified, compares the vehicle characteristic blocks of the vehicle images to be identified with the vehicle characteristic blocks in the vehicle characteristic blocks respectively, preprocesses the collected vehicle images to obtain the clear vehicle images, divides the clear vehicle images into the characteristic blocks, compares the divided characteristic blocks with the characteristic blocks in the vehicle characteristic block library, when one of the vehicle characteristic blocks is successfully compared, controlling a video identification service terminal to send a first request to a platform, receiving the first request by a system server, issuing a corresponding clear vehicle image to the video identification service terminal, comparing the issued clear vehicle image with a vehicle image to be identified by the video identification service terminal, then calculating by an AI algorithm, comparing and calculating the vehicle information of the parking space by the vehicle characteristics acquired by a camera and the information in a vehicle characteristic block library, if the corresponding vehicle information cannot be received, continuously comparing the vehicle characteristic block of the vehicle image to be identified with other vehicle characteristic blocks in the vehicle characteristic block library by the video identification service terminal, continuously identifying and analyzing and calculating the vehicle, and finally obtaining the information whether the parking space has the vehicle parking and whether the vehicle belongs to the parking space, the efficient carries out real-time calculation and contrast to the occupation condition in parking stall, has optimized the management in parking area greatly.
Finally, it should be noted that the above-mentioned contents are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, and that the simple modifications or equivalent substitutions of the technical solutions of the present invention by those of ordinary skill in the art can be made without departing from the spirit and scope of the technical solutions of the present invention.
Claims (5)
1. Parking space occupation analysis method based on video is characterized in that: the system mainly comprises a plurality of cameras, a vehicle identification service terminal, an information terminal, a video identification service terminal and a system server;
the cameras are arranged at each corner of the parking lot;
the vehicle identification service terminal is arranged in a monitoring room of the parking lot;
collecting a vehicle image through a camera;
preprocessing the collected vehicle image to obtain a clear vehicle image;
extracting vehicle characteristic blocks from the obtained clear vehicle image, wherein the vehicle characteristic blocks comprise one or more of a vehicle head block, a license plate block, a vehicle tail block and a color block;
storing the vehicle characteristic blocks, the clear vehicle images and the corresponding parking space information in a system server, binding the parking space information with the vehicle characteristic blocks and the clear vehicle images respectively, and establishing unique mapping relations between the parking space information and the vehicle characteristic blocks and the clear vehicle images respectively;
transmitting the vehicle characteristic block to a video identification service terminal;
the video identification service terminal receives a vehicle feature block library in which the vehicle feature block is stored;
the video identification service terminal extracts a vehicle feature block of a vehicle image to be identified, performs AI algorithm calculation and comparison on the vehicle feature block of the vehicle image to be identified and a vehicle feature block in the vehicle feature block, and directly acquires a clear vehicle image matched with the vehicle image to be identified and corresponding parking space information when the comparison is successful;
the information terminal is connected with the system server through an electric signal;
the information terminal and the system server are both arranged in a monitoring room of the parking lot.
2. The video-based parking space occupancy analysis method according to claim 1, wherein: the step of preprocessing the vehicle image to obtain a clear vehicle image comprises the following steps:
recognizing the collected vehicle image through a vehicle recognition frame on the camera;
setting the coordinate of a self-exposure window of the identified vehicle image to be consistent with the coordinate of a vehicle identification frame of the camera, wherein the self-exposure window is larger than the vehicle identification frame;
and carrying out corresponding exposure on the exposure value of the corresponding self-exposure window in a self-adaptive configuration mode according to the intensity of the background light, and then obtaining a clear vehicle image.
3. The video-based parking space occupancy analysis method according to claim 1, wherein: the step of obtaining the clear vehicle image matched with the vehicle image to be identified and the corresponding parking space information comprises the following steps:
preprocessing the acquired vehicle image to obtain a clear vehicle image;
dividing a clear vehicle image into feature blocks, comparing the divided feature blocks with feature blocks in a vehicle feature block library, and controlling a vehicle identification service terminal to send a first request to a platform when one of the vehicle feature blocks is successfully compared;
the system server receives the first request and issues a corresponding clear vehicle image to the vehicle identification service terminal;
the vehicle identification service terminal compares the issued clear vehicle image with the vehicle image to be identified, the vehicle identification service terminal is controlled to issue a second request to the system server after the comparison is successful, the system server issues corresponding parking space information to the vehicle identification service terminal when receiving the second request, otherwise, the vehicle identification service terminal continues to compare the vehicle feature blocks of the vehicle image to be identified with other vehicle feature blocks in the vehicle feature block library respectively.
4. The video-based parking space occupancy analysis method according to claim 3, wherein: the steps of the vehicle feature block library and the video identification service terminal comprise:
the data of the vehicle images collected through the camera are accessed to the video recognition service terminal, and then compared with the vehicle characteristic block library, the vehicle head block, the license plate block, the vehicle tail block and the color block of the vehicle characteristic block are compared with each other, the vehicle model, the license plate number, the vehicle color and other aspects are compared with the vehicle characteristic block library, and then calculation is carried out through the AI algorithm of the video recognition service terminal.
5. The video-based parking space occupancy analysis method according to claim 1, wherein: the step of carrying out AI algorithm calculation on the vehicle feature block of the vehicle feature to be identified, the clear vehicle image and the corresponding parking space information comprises the following steps:
the clear vehicle image information and the corresponding parking space information which are successfully compared are bound, AI calculation is carried out on the vehicle characteristic blocks, the clear vehicle images and the corresponding parking space information, which are to be identified with the vehicle characteristics, after the binding, whether the vehicle information and the parking space information of the parking space are matched or not or whether the vehicle is parked on the parking space or not is finally obtained, and the calculation result is fed back to the information terminal.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114582159A (en) * | 2022-02-11 | 2022-06-03 | 中交公规土木大数据信息技术（北京）有限公司 | Road service zone grading intelligent parking guiding method, system, equipment and medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102915638A (en) * | 2012-10-07 | 2013-02-06 | 复旦大学 | Surveillance video-based intelligent parking lot management system |
| CN104464287A (en) * | 2014-11-26 | 2015-03-25 | 成都和音科技有限公司 | Detection system for parking of vehicles at parking places on basis of pattern recognition |
| CN104882022A (en) * | 2015-04-30 | 2015-09-02 | 厦门狄耐克智能交通科技有限公司 | Reverse vehicle searching system and vehicle searching method |
| CN106157402A (en) * | 2016-06-27 | 2016-11-23 | 合肥指南针电子科技有限责任公司 | A kind of parking stall automatic unlocking system and method |
| CN106228844A (en) * | 2016-08-27 | 2016-12-14 | 黄赵兵 | A kind of parking stall reservation system of automatic identification vehicle |
| CN106469518A (en) * | 2015-08-21 | 2017-03-01 | 中国电信股份有限公司 | The method of the intelligent parking guiding based on video tracking identification, server and system |
| CN106652551A (en) * | 2016-12-16 | 2017-05-10 | 浙江宇视科技有限公司 | Parking stall detection method and device |
| CN107967817A (en) * | 2017-11-17 | 2018-04-27 | 张慧 | Intelligent managing system for parking lot and method based on multi-path camera deep learning |
| CN110288852A (en) * | 2019-06-04 | 2019-09-27 | 恒大智慧科技有限公司 | A kind of parking stall management method and system |
| CN112270842A (en) * | 2020-10-15 | 2021-01-26 | 深圳市凯达尔科技实业有限公司 | Customized parking lot parking space guiding system and method |
-
2020
- 2020-11-13 CN CN202011271419.2A patent/CN112382126A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102915638A (en) * | 2012-10-07 | 2013-02-06 | 复旦大学 | Surveillance video-based intelligent parking lot management system |
| CN104464287A (en) * | 2014-11-26 | 2015-03-25 | 成都和音科技有限公司 | Detection system for parking of vehicles at parking places on basis of pattern recognition |
| CN104882022A (en) * | 2015-04-30 | 2015-09-02 | 厦门狄耐克智能交通科技有限公司 | Reverse vehicle searching system and vehicle searching method |
| CN106469518A (en) * | 2015-08-21 | 2017-03-01 | 中国电信股份有限公司 | The method of the intelligent parking guiding based on video tracking identification, server and system |
| CN106157402A (en) * | 2016-06-27 | 2016-11-23 | 合肥指南针电子科技有限责任公司 | A kind of parking stall automatic unlocking system and method |
| CN106228844A (en) * | 2016-08-27 | 2016-12-14 | 黄赵兵 | A kind of parking stall reservation system of automatic identification vehicle |
| CN106652551A (en) * | 2016-12-16 | 2017-05-10 | 浙江宇视科技有限公司 | Parking stall detection method and device |
| CN107967817A (en) * | 2017-11-17 | 2018-04-27 | 张慧 | Intelligent managing system for parking lot and method based on multi-path camera deep learning |
| CN110288852A (en) * | 2019-06-04 | 2019-09-27 | 恒大智慧科技有限公司 | A kind of parking stall management method and system |
| CN112270842A (en) * | 2020-10-15 | 2021-01-26 | 深圳市凯达尔科技实业有限公司 | Customized parking lot parking space guiding system and method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114582159A (en) * | 2022-02-11 | 2022-06-03 | 中交公规土木大数据信息技术（北京）有限公司 | Road service zone grading intelligent parking guiding method, system, equipment and medium |
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Application publication date: 20210219 |