CN115497329B - Unmanned management system for small parking garage - Google Patents
Unmanned management system for small parking garage Download PDFInfo
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- CN115497329B CN115497329B CN202211139223.7A CN202211139223A CN115497329B CN 115497329 B CN115497329 B CN 115497329B CN 202211139223 A CN202211139223 A CN 202211139223A CN 115497329 B CN115497329 B CN 115497329B
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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
- G08G1/146—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas where the parking area is a limited parking space, e.g. parking garage, restricted space
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- 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
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- 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
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/586—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of parking space
-
- 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
-
- 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/16—Communication-related supplementary services, e.g. call-transfer or call-hold
Abstract
The invention discloses an unmanned management system of a small-sized parking garage, which relates to the technical field of unmanned parking garages, and is provided with an image capturing module for capturing vehicle image pictures in the small-sized parking garage in real time; an image preprocessing module is arranged to splice and de-duplicate the captured image frames to obtain complete parking garage frames; a number registration module is arranged to register a mobile phone number before the automobile enters the parking garage; setting a license plate recognition module to recognize license plate numbers of parked vehicles in the parking garage in real time; a position recognition training module is arranged for training a CNN neural network model for recognizing whether the parking position of the vehicle is illegal or not; setting a position identification module to identify whether the position of the parked vehicle is illegal or not in real time; setting an automatic dialing module to remind an owner of the illegal vehicle to move in time; the problem of parking standard in unmanned parking garage is solved.
Description
Technical Field
The invention belongs to the field of small-sized parking garages, relates to an artificial intelligence technology, and particularly relates to an unmanned management system of a small-sized parking garage.
Background
Currently, automobiles are popular in cities, and most urban families have the capability and the requirement of purchasing automobiles; there is thus also a need to build a large number of parking garages in cities; especially in partial areas, the construction of mutually independent small parking garages is required; each parking garage needs at least one staff to watch at the moment, so that huge labor cost is brought; for this reason, unattended parking garages have been developed; however, in an unattended parking garage, due to negligence of some drivers or other reasons, the parking position in the parking garage often prevents other vehicles from entering and exiting, and even causes some accidents; therefore, it is necessary to find and remind the driver of the illegally parked vehicle in time;
therefore, an unattended management system of the small parking garage is provided.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides an unmanned management system of a small-sized parking garage, which is provided with an image capturing module for capturing vehicle image pictures in the small-sized parking garage in real time; an image preprocessing module is arranged to splice and de-duplicate the captured image frames to obtain complete parking garage frames; a number registration module is arranged to register a mobile phone number before the automobile enters the parking garage; setting a license plate recognition module to recognize license plate numbers of parked vehicles in the parking garage in real time; a position recognition training module is arranged for training a CNN neural network model for recognizing whether the parking position of the vehicle is illegal or not; setting a position identification module to identify whether the position of the parked vehicle is illegal or not in real time; setting an automatic dialing module to remind an owner of the illegal vehicle to move in time; the problem of parking standard in unmanned parking garage is solved.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an unmanned management system for a small parking garage, including an image capturing module, an image preprocessing module, a number registration module, a license plate recognition module, a position recognition training module, a position recognition module, an automatic dialing module, and a system background; wherein, each module is connected by an electric and/or wireless network mode;
the image capturing module is mainly used for capturing the vehicle and the parking space picture in the small parking garage in real time;
the image capturing module comprises a plurality of image capturing devices installed in the small parking garage; the image capturing device may be a monitoring camera; each image capturing device captures an image picture in the visual field of the small parking garage in real time; each image capturing device sends captured image frames to an image preprocessing module in real time; the number and the installation positions of the image capturing devices in the small parking garage are determined according to the actual size and the shape of the small parking garage, so that each position in the small parking garage can be captured by at least one image capturing device;
the image preprocessing module is mainly used for preprocessing an image picture captured by the image capturing device;
the image preprocessing module obtains a complete real-time image of the small parking garage by performing de-duplication splicing on images captured by the image capturing devices according to positions by using an image analysis technology according to the actual installation positions of the image capturing devices; the three-dimensional shape of the image displayed by the complete image is the actual three-dimensional shape of the small parking garage; the image preprocessing module sends the complete small garage image to the license plate recognition module and the position recognition module in real time;
the number registration module is mainly used for registering a vehicle license plate number and a driver mobile phone number in advance before a vehicle enters the small parking garage;
the number registration module is an intelligent induction rod arranged in front of the small parking garage; the intelligent induction rod is in a transverse state when a vehicle arrives, so that the vehicle is prevented from entering; only after a driver registers the corresponding relation between the license plate number and the contact way of the vehicle in a code scanning way, the intelligent induction rod is started and is converted into a vertical state, so that the vehicle is allowed to enter a small parking garage; the corresponding relation between the registered license plate numbers and the contact modes is stored in a database of a system background;
the license plate recognition module is mainly used for recognizing license plate numbers of all vehicles from complete real-time images of the small parking garage and matching license plates with the vehicles;
the license plate recognition module recognizes license plate numbers and matches license plates with vehicles, and the license plate recognition module comprises the following steps:
step P1: the license plate recognition module acquires a complete internal picture of the small parking garage in real time;
step P2: the license plate recognition module recognizes vehicles appearing in the picture by using an object recognition technology;
step P3: judging whether the vehicle is in a static state according to whether the position of each vehicle in the pictures of a plurality of frames is changed or not;
step P4: for a vehicle in a stationary state, acquiring a license plate image of the vehicle by using an object recognition technology, and recognizing a license plate number in the license plate image by using an OCR technology;
step P5: the position of each stationary vehicle in the small parking garage and the corresponding relation of license plate numbers are sent to a system background;
the position recognition training module is mainly used for training a CNN neural network model for recognizing whether the position where the vehicle is parked is illegal or not;
the position recognition training module trains a CNN neural network model for recognizing whether the parked position of the vehicle is illegal or not, and comprises the following steps:
step S1: the position recognition training module is used for collecting a plurality of vehicle parking pictures parked at the correct position and the wrong position in the small parking garage in advance; marking the parking pictures at the correct positions and the wrong positions in a manual marking mode; marking the parking correct position as 1; marking the parking error position as 0;
step S2: the position recognition training module takes a vehicle parking picture as input and inputs the vehicle parking picture into the CNN neural network model; the CNN neural network model takes whether the predicted parking position is correct or not as output, and the accuracy of the predicted parking position and the actual mark is used as a training target; training a CNN neural network model; parameter setting and parameter adjustment of the CNN neural network model are configured according to actual experience;
step S3: the control terminal trains the accuracy of the CNN neural network model to 98 percent and stops training; marking the trained CNN neural network model as M;
the position recognition training module sends the CNN neural network model M to the position recognition module;
the position identification module is mainly used for identifying whether the small parking garage parking vehicles belong to illegal parking or not;
in a preferred embodiment, the location identification module identifies whether a parking vehicle of the mini-garage class belongs to an illicit parking, comprising the steps of:
step Q1: the position identification module acquires a complete internal picture in the small parking garage in real time;
step Q2: the position recognition module uses an object recognition technology and an image interception technology to obtain a picture of the position of each vehicle in the small parking garage;
step Q3: the position identification module inputs a picture of the position of each vehicle into the CNN neural network model M, and the CNN neural network model M judges whether the parking position of each vehicle in the parking garage is correct or not; if the result is correct, the processing is not performed; otherwise, the position of the illegal parking vehicle is sent to an automatic dialing module;
the automatic dialing module is mainly used for reminding a user to go to a vehicle moving mode in the case of violation of a vehicle parking position;
in a preferred embodiment, the automatic dialing module reminds the user to go to the vehicle, comprising the steps of:
step Z1: the automatic dialing module receives the position of the illegal vehicle sent by the position identification module;
step Z2: the automatic dialing module obtains license plate numbers of corresponding vehicles from a system background according to positions of the illegal vehicles;
step Z3: the automatic dialing module acquires a mobile phone number corresponding to the license plate number from a system background database according to the license plate number of the illegal vehicle, dials the mobile phone number in an automatic dialing mode, and reminds a user to go to a small parking garage to move.
Compared with the prior art, the invention has the beneficial effects that:
the invention sets the image capturing module to capture the image of the vehicle in the small parking garage in real time; an image preprocessing module is arranged to splice and de-duplicate the captured image frames to obtain complete parking garage frames; a number registration module is arranged to register a mobile phone number before the automobile enters the parking garage; setting a license plate recognition module to recognize license plate numbers of parked vehicles in the parking garage in real time; a position recognition training module is arranged for training a CNN neural network model for recognizing whether the parking position of the vehicle is illegal or not; setting a position identification module to identify whether the position of the parked vehicle is illegal or not in real time; setting an automatic dialing module to remind an owner of the illegal vehicle to move in time; the problem of parking standard in unmanned parking garage is solved.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, an unmanned management system of a small parking garage comprises an image capturing module, an image preprocessing module, a number registration module, a license plate recognition module, a position recognition training module, a position recognition module, an automatic dialing module and a system background; wherein, each module is connected by an electric and/or wireless network mode;
the image capturing module is mainly used for capturing the vehicle and the parking space picture in the small parking garage in real time;
in a preferred embodiment, the image capturing module comprises a number of image capturing devices installed in a small parking garage; the image capturing device may be a monitoring camera; each image capturing device captures an image picture in the visual field of the small parking garage in real time; each image capturing device sends captured image frames to an image preprocessing module in real time; the number and the installation positions of the image capturing devices in the small parking garage are determined according to the actual size and the shape of the small parking garage, so that each position in the small parking garage can be captured by at least one image capturing device;
the image preprocessing module is mainly used for preprocessing an image picture captured by the image capturing device;
it can be understood that, since different image capturing devices are installed at different positions, the captured images are in respective fields of view, so that it is difficult for a vehicle in the captured image of each image capturing device to determine the position of the small parking garage; therefore, preprocessing of captured pictures is required;
in a preferred embodiment, the image preprocessing module obtains a complete real-time image of the small parking garage after performing de-duplication stitching on images captured by each image capturing device according to positions by using an image analysis technology according to the actual positions where each image capturing device is installed; the three-dimensional shape of the image displayed by the complete image is the actual three-dimensional shape of the small parking garage; the image preprocessing module sends the complete small garage image to the license plate recognition module and the position recognition module in real time;
the number registration module is mainly used for registering a vehicle license plate number and a driver mobile phone number in advance before a vehicle enters the small parking garage;
in a preferred embodiment, the number registration module is a smart sensor bar mounted in front of a mini-garage; the intelligent induction rod is in a transverse state when a vehicle arrives, so that the vehicle is prevented from entering; only after a driver registers the corresponding relation between the license plate number and the contact way of the vehicle in a code scanning way, the intelligent induction rod is started and is converted into a vertical state, so that the vehicle is allowed to enter a small parking garage; the corresponding relation between the registered license plate numbers and the contact modes is stored in a database of a system background;
the license plate recognition module is mainly used for recognizing license plate numbers of all vehicles from complete real-time images of the small parking garage and matching license plates with the vehicles;
in a preferred embodiment, the license plate recognition module recognizes the license plate number and matches the license plate with the vehicle includes the steps of:
step P1: the license plate recognition module acquires a complete internal picture of the small parking garage in real time;
step P2: the license plate recognition module recognizes vehicles appearing in the picture by using an object recognition technology;
step P3: judging whether the vehicle is in a static state according to whether the position of each vehicle in the pictures of a plurality of frames is changed or not;
step P4: for a vehicle in a stationary state, acquiring a license plate image of the vehicle by using an object recognition technology, and recognizing a license plate number in the license plate image by using an OCR technology;
step P5: the position of each stationary vehicle in the small parking garage and the corresponding relation of license plate numbers are sent to a system background;
the position recognition training module is mainly used for training a CNN neural network model for recognizing whether the position where the vehicle is parked is illegal or not;
it will be appreciated that in an unattended parking garage, the vehicle parking position is freely determined by the user, so there are often some users who park the vehicle in some dangerous or illegal positions, resulting in accidents; therefore, when the parking position of the vehicle is illegal, the user is reminded to go to the vehicle in time;
in a preferred embodiment, the location recognition training module trains the CNN neural network model that recognizes whether the location where the vehicle is parked is illegal, comprising the steps of:
step S1: the position recognition training module is used for collecting a plurality of vehicle parking pictures parked at the correct position and the wrong position in the small parking garage in advance; marking the parking pictures at the correct positions and the wrong positions in a manual marking mode; marking the parking correct position as 1; marking the parking error position as 0;
step S2: the position recognition training module takes a vehicle parking picture as input and inputs the vehicle parking picture into the CNN neural network model; the CNN neural network model takes whether the predicted parking position is correct or not as output, and the accuracy of the predicted parking position and the actual mark is used as a training target; training a CNN neural network model; parameter setting and parameter adjustment of the CNN neural network model are configured according to actual experience;
step S3: the control terminal trains the accuracy of the CNN neural network model to 98 percent and stops training; marking the trained CNN neural network model as M;
the position recognition training module sends the CNN neural network model M to the position recognition module;
the position identification module is mainly used for identifying whether the small parking garage parking vehicles belong to illegal parking or not;
in a preferred embodiment, the location identification module identifies whether a parking vehicle of the mini-garage class belongs to an illicit parking, comprising the steps of:
step Q1: the position identification module acquires a complete internal picture in the small parking garage in real time;
step Q2: the position recognition module uses an object recognition technology and an image interception technology to obtain a picture of the position of each vehicle in the small parking garage;
step Q3: the position identification module inputs a picture of the position of each vehicle into the CNN neural network model M, and the CNN neural network model M judges whether the parking position of each vehicle in the parking garage is correct or not; if the result is correct, the processing is not performed; otherwise, the position of the illegal parking vehicle is sent to an automatic dialing module;
the automatic dialing module is mainly used for reminding a user to go to a vehicle moving mode in the case of violation of a vehicle parking position;
in a preferred embodiment, the automatic dialing module reminds the user to go to the vehicle, comprising the steps of:
step Z1: the automatic dialing module receives the position of the illegal vehicle sent by the position identification module;
step Z2: the automatic dialing module obtains license plate numbers of corresponding vehicles from a system background according to positions of the illegal vehicles;
step Z3: the automatic dialing module acquires a mobile phone number corresponding to the license plate number from a system background database according to the license plate number of the illegal vehicle, dials the mobile phone number in an automatic dialing mode, and reminds a user to go to a small parking garage to move.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (4)
1. The unmanned management system for the small parking garage is characterized by comprising an image capturing module, an image preprocessing module, a number registering module, a license plate recognition module, a position recognition training module, a position recognition module, an automatic dialing module and a system background; wherein, each module is connected by an electric and/or wireless network mode;
the image capturing module is used for capturing the vehicle and parking space pictures in the small parking garage in real time; the image capturing module sends captured image frames to the image preprocessing module in real time;
the image preprocessing module is used for preprocessing an image picture captured by the image capturing device; the image preprocessing module sends the complete small garage image to the license plate recognition module and the position recognition module in real time;
the number registration module is used for registering the number of a vehicle license plate and the number of a mobile phone of a driver in advance before the vehicle enters the small parking garage; the corresponding relation between the registered license plate numbers and the contact modes is stored in a database of a system background;
the license plate recognition module is used for recognizing license plate numbers of all vehicles from the complete real-time images of the small parking garage and matching license plates with the vehicles; the license plate recognition module sends the corresponding relation of the position of each stationary vehicle in the small parking garage and the license plate number to a system background;
the license plate recognition module recognizes license plate numbers and matches license plates with vehicles, and the license plate recognition module comprises the following steps:
step P1: the license plate recognition module acquires a complete internal picture of the small parking garage in real time;
step P2: the license plate recognition module recognizes vehicles appearing in the picture by using an object recognition technology;
step P3: judging whether the vehicle is in a static state according to whether the position of each vehicle in the pictures of a plurality of frames is changed or not;
step P4: for a vehicle in a stationary state, acquiring a license plate image of the vehicle by using an object recognition technology, and recognizing a license plate number in the license plate image by using an OCR technology;
the position recognition training module is used for training a CNN neural network model for recognizing whether the parking position of the vehicle is illegal or not; the position recognition training module sends the CNN neural network model M to the position recognition module;
the position recognition training module trains a CNN neural network model for recognizing whether the parked position of the vehicle is illegal or not, and comprises the following steps:
step S1: the position recognition training module is used for collecting a plurality of vehicle parking pictures parked at the correct position and the wrong position in the small parking garage in advance; marking the parking correct position as 1; marking the parking error position as 0;
step S2: the position recognition training module takes a vehicle parking picture as input and inputs the vehicle parking picture into the CNN neural network model; the CNN neural network model takes whether the predicted parking position is correct or not as output, and the accuracy of the predicted parking position and the actual mark is used as a training target; training a CNN neural network model;
step S3: the position recognition training module trains the accuracy of the CNN neural network model to 98 percent and stops training; marking the trained CNN neural network model as M;
the position identification module is used for identifying whether the parking vehicles of the mini parking garage belong to illegal parking or not by using the CNN neural network model M; when the illegal parking is judged, the position of the illegal vehicle is sent to an automatic dialing module;
the position identification module identifies whether the parking vehicles of the mini parking garage belong to illegal parking or not, and comprises the following steps:
step Q1: the position identification module acquires a complete internal picture in the small parking garage in real time;
step Q2: the position recognition module uses an object recognition technology and an image interception technology to obtain a picture of the position of each vehicle in the small parking garage;
step Q3: the position identification module inputs a picture of the position of each vehicle into the CNN neural network model M, and the CNN neural network model M judges whether the parking position of each vehicle in the parking garage is correct or not; if the result is correct, the processing is not performed; otherwise, the position of the illegal parking vehicle is sent to an automatic dialing module;
the automatic dialing module is used for reminding a user to go to a vehicle moving way in a dialing mode when the parking position of the vehicle is illegal;
the automatic dialing module reminds a user to go to move the vehicle and comprises the following steps:
step Z1: the automatic dialing module receives the position of the illegal vehicle sent by the position identification module;
step Z2: the automatic dialing module obtains license plate numbers of corresponding vehicles from a system background according to positions of the illegal vehicles;
step Z3: the automatic dialing module obtains a mobile phone number corresponding to the license plate number from a system background database according to the license plate number of the illegal vehicle, and dials the mobile phone number in an automatic dialing mode.
2. The unmanned parking garage management system of claim 1, wherein the image capture module comprises a plurality of image capture devices mounted within the parking garage; each image capturing device captures an image picture in the visual field of the small parking garage in real time; each image capturing device sends captured image frames to the image preprocessing module in real time.
3. The unattended operation management system of the small parking garage according to claim 1, wherein the image preprocessing module performs de-duplication splicing on images captured by each image capturing device according to the actual installation position of each image capturing device, and then obtains a complete real-time image of the small parking garage.
4. The unmanned parking garage management system of claim 1, wherein the number registration module is an intelligent induction rod installed in front of the mini parking garage; the intelligent induction rod is in a transverse state when a vehicle arrives, so that the vehicle is prevented from entering; only after the driver registers the corresponding relation between the license plate number and the contact way of the vehicle, the intelligent induction rod is started and is converted into a vertical state, so that the vehicle is allowed to enter the small parking garage.
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