Intelligent park vehicle identification system

Abstract

The application discloses a kind of wisdom park vehicle identification systems, the monitoring system includes: vehicle image monitoring component, vehicle model comprehensive management component, vehicle database component, license plate data acquisition component, vehicle feature model calculation component;The vehicle image monitoring component is connected with the vehicle model comprehensive management component, the vehicle model comprehensive management component is also connected with the vehicle database component, the vehicle database component is also connected with the license plate data acquisition component, the license plate data acquisition component is also connected with the vehicle feature model calculation component, the vehicle feature model calculation component generates acquisition document, and according to acquisition document, vehicle model in vehicle image monitoring is monitored.The vehicle identification system of a kind of wisdom park provided by the application can improve vehicle model monitoring efficiency.

Description

Technical Field

[0001] This invention relates to the field of vehicle recognition in industrial parks, and more particularly to a smart industrial park vehicle recognition system. Background Technology

[0002] Vehicle identification systems are an application of computer video image recognition technology in vehicle license plate recognition. Vehicle identification is widely used in highway vehicle management and is also a major means of identifying vehicles in Electronic Toll Collection (ETC) systems, combined with DSRC technology. Vehicle identification technology requires the ability to extract and identify moving vehicle license plates from complex backgrounds. Through license plate extraction, image preprocessing, feature extraction, and license plate character recognition, it identifies vehicle license plate numbers, colors, and other information. Currently, the latest technology achieves a recognition rate of 99.7% for letters and numbers and 99% for Chinese characters. In parking lot management, license plate recognition technology is also a major means of identifying vehicles, and it has become the primary means of vehicle identification.

[0003] When existing smart park vehicle recognition devices are used outdoors for extended periods, they are susceptible to rain erosion, cannot display parking information on the screen, and accumulate a lot of dust, affecting their usability.

[0004] As can be seen from the above, the existing smart park vehicle recognition system suffers from decreased recognition efficiency due to prolonged use, which affects its usability. Summary of the Invention

[0005] In order to overcome the shortcomings and deficiencies of existing technologies, this invention provides a smart park vehicle recognition system.

[0006] The technical solution adopted in this invention is a smart park vehicle recognition system, comprising: a vehicle image monitoring component, a vehicle model comprehensive management component, a vehicle database component, a license plate data acquisition component, and a vehicle feature model calculation component;

[0007] The vehicle image monitoring component is connected to the vehicle model integrated management component. The vehicle image monitoring component is used to manage the vehicle image size and vehicle image acquisition information, and sends the vehicle image size and vehicle image acquisition information to the vehicle model integrated management component. The vehicle image size includes the vehicle model completeness. The vehicle image acquisition information includes acquisition time, acquisition frequency, and vehicle model color information.

[0008] The vehicle model integrated management component is also connected to the vehicle database component. The vehicle model integrated management component is used to send control commands to the vehicle database component. The control commands include reassembling the size of the vehicle image and controlling vehicle image monitoring based on the vehicle image acquisition information. The reassembly vehicle image size has feature values. The feature values ​​include vehicle model name, vehicle image monitoring time list identifier, park name, area of ​​the monitoring park, vehicle integrity, and acquisition frequency.

[0009] The vehicle database component is also connected to the license plate data acquisition component. The vehicle database component is used to execute control operations according to the control instructions to realize vehicle image monitoring.

[0010] The license plate data acquisition component is also connected to the vehicle feature model calculation component. The license plate data acquisition component is used to acquire vehicle image monitoring images implemented by the vehicle database component and send the vehicle image monitoring images to the vehicle feature model calculation component. The vehicle feature model calculation component is used to generate an acquisition document based on the vehicle image monitoring images and the vehicle image acquisition information, and to monitor the vehicle model in the vehicle image monitoring based on the acquisition document.

[0011] Optional, also includes:

[0012] The vehicle image monitoring park rule setting component is used to obtain the vehicle image monitoring requirement settings of end users; the vehicle image monitoring requirement settings include vehicle image monitoring frequency information, vehicle image monitoring requirement time, and vehicle image monitoring requirement duration.

[0013] The feature value generation component is used to generate feature values ​​according to the vehicle image monitoring requirements.

[0014] Optional, also includes:

[0015] A feature value control component is used to embed the feature value into the vehicle image size and reorganize the vehicle image size to determine the vehicle image size with the feature value.

[0016] Optionally, the vehicle feature model calculation component specifically includes:

[0017] A feature value acquisition unit is used to acquire the feature values ​​within the collected document;

[0018] A real-time monitoring unit is used to monitor the vehicle model in vehicle image monitoring based on the feature values.

[0019] A smart park vehicle recognition system includes:

[0020] Manage vehicle image size and vehicle image acquisition information, and send the vehicle image size and vehicle image acquisition information to the vehicle model integrated management component; the vehicle image size includes vehicle model completeness; the vehicle image acquisition information includes acquisition time, acquisition frequency, and vehicle model color information;

[0021] Send control commands to the vehicle database component; the control commands include reassembling the size of the vehicle image and controlling vehicle image monitoring based on the vehicle image acquisition information; the reassembly vehicle image size has feature values; the feature values ​​include vehicle model name, vehicle image monitoring time list identifier, park name, area of ​​the monitoring park, vehicle integrity, and acquisition frequency;

[0022] The control operation is executed according to the control command to realize vehicle image monitoring;

[0023] The vehicle image monitoring component acquires vehicle image monitoring images and sends them to the vehicle feature model calculation component. The vehicle feature model calculation component generates an acquisition document based on the vehicle image monitoring images and the vehicle image acquisition information, and monitors the vehicle model in the vehicle image monitoring based on the acquisition document.

[0024] Optionally, after sending the vehicle image size and the vehicle image acquisition information to the vehicle model integrated management component, the method further includes:

[0025] Obtain the vehicle image monitoring requirement settings of the end user; the vehicle image monitoring requirement settings include vehicle image monitoring frequency information, vehicle image monitoring requirement time, and vehicle image monitoring requirement duration.

[0026] Feature values ​​are generated based on the vehicle image monitoring requirements.

[0027] Optionally, after generating feature values ​​according to the vehicle image monitoring requirements, the method further includes:

[0028] The feature value is embedded into the vehicle image size, and the vehicle image size is reorganized to determine the vehicle image size with the feature value.

[0029] Optionally, the step of monitoring the vehicle model in the vehicle image monitoring based on the acquired document specifically includes:

[0030] Obtain the feature values ​​within the collected document;

[0031] The vehicle model is monitored in the vehicle image monitoring based on the aforementioned feature values.

[0032] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects: The present invention provides a smart park vehicle recognition system, which can automatically detect whether a specified vehicle model has been detected at a specified monitoring location before the specified vehicle image is monitored by recognizing the size of the vehicle image with feature values, thereby eliminating the steps of manually collecting images, manually uploading images, and manually identifying vehicle models, and greatly improving the efficiency of vehicle model monitoring. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a structural diagram of a smart park vehicle recognition system provided by the present invention;

[0035] Figure 2 The present invention provides a flowchart of the operation of a smart park vehicle recognition system. Detailed Implementation

[0036] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. The application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0037] The purpose of this invention is to provide a smart park vehicle identification system that can improve the efficiency of vehicle model monitoring.

[0038] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0039] like Figures 1 to 2 As shown, a smart park vehicle recognition system includes: a vehicle image monitoring component 1, a vehicle model comprehensive management component 2, a vehicle database component 3, a license plate data acquisition component 4, and a vehicle feature model calculation component 5.

[0040] The vehicle image monitoring component is connected to the vehicle model integrated management component. The vehicle image monitoring component manages vehicle image size and vehicle image acquisition information, and sends the vehicle image size and vehicle image acquisition information to the vehicle model integrated management component. The vehicle image size includes vehicle model completeness. The vehicle image acquisition information includes acquisition time, acquisition frequency, and vehicle model color information. The vehicle image monitoring component includes vehicle image size management and vehicle image acquisition information management. Among them, vehicle image size management refers to the management of vehicle model completeness files. The correspondence between vehicle image monitoring and vehicle model sequence can be determined through vehicle image acquisition information, including acquisition time, acquisition frequency, and vehicle model color information.

[0041] The vehicle model integrated management component is also connected to the vehicle database component. The vehicle model integrated management component is used to send control commands to the vehicle database component. The control commands include reassembling the vehicle image size and controlling vehicle image monitoring based on the vehicle image acquisition information. The reassembly vehicle image size has feature values. The feature values ​​include vehicle model name, vehicle image monitoring time list identifier, park name, monitoring park area, vehicle integrity, and acquisition frequency. The vehicle model integrated management component is mainly used in this system for vehicle model package reassembly and vehicle image monitoring control.

[0042] The vehicle database component is also connected to the license plate data acquisition component. The vehicle database component is used to execute control operations according to the control instructions to realize vehicle image monitoring. The vehicle database component executes corresponding control operations according to the data and commands sent by the vehicle model integrated management component.

[0043] The license plate data acquisition component is also connected to the vehicle feature model calculation component. The license plate data acquisition component is used to acquire vehicle image monitoring images implemented by the vehicle database component and send the vehicle image monitoring images to the vehicle feature model calculation component. The vehicle feature model calculation component is used to generate an acquisition document based on the vehicle image monitoring images and the vehicle image acquisition information, and to monitor the vehicle model in the vehicle image monitoring based on the acquisition document. The license plate data acquisition component is used to acquire the screen images in the vehicle database component; the vehicle feature model calculation component generates the final acquisition document based on the acquired image information and vehicle image acquisition information. The workflow of a smart park vehicle recognition system includes vehicle image size and vehicle image acquisition and distribution, vehicle model package reassembly, scheduling generation, vehicle model time image acquisition, image upload, and data analysis.

[0044] Vehicle model and vehicle image acquisition and distribution:

[0045] After importing a new vehicle model file, the vehicle image monitoring component will automatically distribute the information to the corresponding monitoring location vehicle model integrated management component based on the monitoring location of the vehicle model. The vehicle image acquisition information will also be automatically sent to the corresponding monitoring location vehicle model integrated management component. At the same time, the vehicle image monitoring component will send the vehicle image acquisition information to the vehicle feature model calculation component for subsequent generation of acquisition documents.

[0046] Vehicle model package reassembly:

[0047] 1. Data Acquisition Algorithm Generation

[0048] After receiving vehicle image acquisition information from the vehicle image monitoring component, the vehicle model integrated management component generates a unique feature value for each vehicle model based on the vehicle image monitoring frequency information and by applying currently mature acquisition algorithms. This feature value includes: vehicle model name, vehicle entry / exit frequency, park name, monitored park area, vehicle integrity, and acquisition frequency.

[0049] 2. Vehicle model DCP repackage

[0050] After receiving the DCP file from the vehicle image monitoring component, the vehicle model integrated management component adds feature values ​​to each frame of the original DCP data by calling the mature OpenCV algorithm, and finally outputs a new vehicle model DCP file.

[0051] 3. Schedule generation

[0052] After receiving vehicle image acquisition information, the vehicle model integrated management component automatically generates a monitoring location schedule based on the system scheduling information and sends the schedule to the time server of the corresponding hall; the POS schedule is the demand setting manually arranged by the demand personnel or other operators at the end user.

[0053] 4. Vehicle model time image capture

[0054] After the scheduling begins, the time server projects the image onto the computer screen via the requesting machine. A unique feature value will then appear at a designated location on the vehicle model screen. During this implementation, the time frame of the image needs to be recorded for use by the subsequent vehicle feature model calculation component.

[0055] Currently, the process of recording vehicle model can be done using the following two methods:

[0056] 1) Use digital equipment to capture images of vehicle models with characteristic values ​​through manual shooting.

[0057] 2) Automatic shooting equipment is installed on the barrier to automatically capture images of the barrier screen.

[0058] 5. Image Upload

[0059] 1) The photos are uploaded to the designated vehicle feature model calculation component by manually taking pictures.

[0060] 2) By installing an automatic shooting device on the gear lever, the automatic shooting device can automatically upload the captured photos to the designated vehicle feature model calculation component.

[0061] 6. Data Analysis

[0062] After collecting the uploaded images with feature values, the vehicle feature model calculation component calls the feature value recognition program to read the information contained in the feature values ​​and save the information to the vehicle model color database.

[0063] The vehicle image acquisition information sent by the vehicle image monitoring component to the vehicle feature model calculation component already exists in the vehicle model color database; the vehicle image monitoring component compares the information in the identified feature values ​​with the local vehicle image acquisition information.

[0064] Finally, the vehicle feature model calculation component will automatically generate a detection document based on the detection results. This detection document will include the images used in the process of generating the monitoring document as document attachments. Vehicle model manufacturers or vehicle model operators can directly understand the vehicle model recognition status through this document.

[0065] like Figure 2 As shown, a smart park vehicle recognition system includes:

[0066] Step A1: Manage vehicle image size and vehicle image acquisition information, and send the vehicle image size and vehicle image acquisition information to the vehicle model integrated management component; the vehicle image size includes vehicle model completeness; the vehicle image acquisition information includes acquisition time, acquisition frequency, and vehicle model color information.

[0067] Following step A1, the method further includes: obtaining the vehicle image monitoring requirement settings of the end user; the vehicle image monitoring requirement settings include vehicle image monitoring frequency information, vehicle image monitoring requirement time, and vehicle image monitoring requirement duration; generating feature values ​​based on the vehicle image monitoring requirement settings; embedding the feature values ​​into the vehicle image size, and recombining the vehicle image size to determine the vehicle image size with feature values.

[0068] Step A2: Send a control command to the vehicle database component; the control command includes reassembling the size of the vehicle image and controlling vehicle image monitoring according to the vehicle image acquisition information; the reassembly vehicle image size has feature values; the feature values ​​include vehicle model name, vehicle image monitoring time list identifier, park name, monitoring park area, vehicle integrity, and acquisition frequency.

[0069] Step A3: Execute control operations according to the control instructions to achieve vehicle image monitoring.

[0070] Step A4: Collect vehicle image monitoring images implemented by the vehicle database component, and send the vehicle image monitoring images to the vehicle feature model calculation component; the vehicle feature model calculation component is used to generate a collection document based on the vehicle image monitoring images and the vehicle image collection information, and to monitor the vehicle model in the vehicle image monitoring based on the collection document.

[0071] Step A4 is followed by obtaining the feature value from the collected document; and monitoring the vehicle model in the vehicle image monitoring based on the feature value.

[0072] Traditional vehicle model monitoring systems involve three steps: manual image acquisition, manual image uploading, and manual visual identification of vehicle models. This process is not only inefficient but also prone to errors due to visual blindness, significantly reducing the system's performance.

[0073] The vehicle model monitoring system and method provided by this invention adds feature values ​​to the vehicle model, so that the vehicle model image appearing during the identification process will contain the feature values. As long as a photo of the vehicle model is captured at any moment during the identification process, the photo will contain the feature value information. After collecting the photo, the vehicle image monitoring component can quickly analyze all information related to vehicle model identification, such as the vehicle model name, monitoring location, gear lever, positive image, and scene, by parsing the feature values. Therefore, this method is far superior to existing vehicle model identification and monitoring systems in terms of both vehicle model monitoring efficiency and accuracy.

[0074] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0075] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A smart park vehicle recognition system, characterized in that, include: Vehicle image monitoring component, vehicle model integrated management component, vehicle database component, license plate data acquisition component, vehicle feature model calculation component; The vehicle image monitoring component is used to manage vehicle model files and vehicle image acquisition information. Specifically, after importing a new vehicle model, the vehicle image monitoring component will automatically send the information to the corresponding vehicle model integrated management component at the monitoring location based on the vehicle model's location. The vehicle model integrated management component is used to repackage vehicle model DCPs. Specifically, after receiving the DCP file from the image monitoring component, the vehicle model integrated management component adds feature values ​​to each frame of the original DCP data and outputs a new vehicle model DCP file. The vehicle image acquisition information includes acquisition time, acquisition frequency, and vehicle model and color information; The feature values ​​include vehicle model name, vehicle image monitoring time list identifier, park name, area of ​​the monitored park, vehicle integrity, and collection frequency. The vehicle database component is used to execute control operations according to control instructions to realize vehicle image monitoring. The control instructions include controlling vehicle image monitoring according to the vehicle image acquisition information. The license plate data acquisition component is used to acquire vehicle image monitoring images implemented by the vehicle database component, and send the vehicle image monitoring images to the vehicle feature model calculation component; After collecting the uploaded images with feature values, the vehicle feature model calculation component calls the feature value recognition program to read the information contained in the feature values ​​and save the information to the vehicle model color database; and generates a collection document based on the vehicle image monitoring image and vehicle image acquisition information, and monitors the vehicle model in the vehicle image monitoring based on the collection document.

2. The smart park vehicle identification system according to claim 1, characterized in that, Also includes: The vehicle image monitoring park rule setting component is used to obtain the vehicle image monitoring requirements of end users. The vehicle image monitoring requirement settings include vehicle image monitoring frequency information, vehicle image monitoring requirement time, and vehicle image monitoring requirement duration. The feature value generation component is used to generate feature values ​​according to the vehicle image monitoring requirements.

3. The smart park vehicle identification system according to claim 2, characterized in that, The vehicle feature model calculation component specifically includes: The feature value acquisition unit is used to acquire the feature values ​​in the collected document.

4. The smart park vehicle identification system according to claim 3, characterized in that, The vehicle feature model calculation component specifically includes a real-time monitoring unit, used to monitor the vehicle model in vehicle image monitoring based on the feature values.

5. A method for implementing a smart park vehicle recognition system according to any one of claims 1-4, characterized in that, The method includes the following steps: After importing a new vehicle model, the vehicle image monitoring component will automatically send the data to the corresponding vehicle model integrated management component at the monitoring location based on the vehicle model's location. After receiving the DCP file from the image monitoring component, the vehicle model integrated management component adds feature values ​​to each frame of the original DCP data and outputs a new vehicle model DCP file. The vehicle image acquisition information includes acquisition time, acquisition frequency, and vehicle model and color information; The feature values ​​include vehicle model name, vehicle image monitoring time list identifier, park name, area of ​​the monitored park, vehicle integrity, and collection frequency. The vehicle database component executes control operations according to control instructions to realize vehicle image monitoring. The control instructions include controlling vehicle image monitoring based on the vehicle image acquisition information. The license plate data acquisition component acquires vehicle image monitoring images implemented by the vehicle database component and sends the vehicle image monitoring images to the vehicle feature model calculation component; After collecting the uploaded images with feature values, the vehicle feature model calculation component calls the feature value recognition program to read the information contained in the feature values ​​and save the information to the vehicle model color database; and generates a collection document based on the vehicle image monitoring image and vehicle image acquisition information, and monitors the vehicle model in the vehicle image monitoring based on the collection document.

6. The method according to claim 5, characterized in that, Also includes: Obtain the vehicle image monitoring requirement settings of the end user; the vehicle image monitoring requirement settings include vehicle image monitoring frequency information, vehicle image monitoring requirement time, and vehicle image monitoring requirement duration.

7. The method according to claim 6, characterized in that, Feature values ​​are generated based on the vehicle image monitoring requirements.

8. The method according to claim 7, characterized in that, The monitoring of vehicle models in vehicle image monitoring based on the acquired documents specifically includes: Obtain the feature values ​​within the collected document; The vehicle model is monitored in the vehicle image monitoring based on the aforementioned feature values.

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