License plate recognition device
By introducing protective measures for human body sensors and guardrail thickened rubber sheets into the license plate recognition device, the problems of accidents and uncontrolled vehicle collisions when children pass through the downhill gate railings are solved, and the safety and identification accuracy of the device are improved.
Patent Information
- Application Number
- CN202421304302.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-08
- Publication Date
- 2025-02-18
- Estimated Expiration
- 2034-06-08
AI Technical Summary
During use, existing license plate identification devices are prone to accidents in which children pass through the railing of the descent gate during use, and lack protective measures, and are easily damaged by collisions of out-of-control electric vehicles or motor vehicles.
A license plate recognition device is designed, including a concrete base, a license plate recognition machine with built-in image processing system, a gate, a high-definition camera and an LED screen, as well as a first protective component (human sensor) and a second protective component (guardrail and thickening Rubber sheet).
The first protective component avoids accidents when the gate lever drops, and the second protective component provides physical protection to prevent uncontrolled vehicles from colliding, improving the safety and reliability of the device.
Smart Images

Figure CN222506938U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to the technical field of license plate recognition, in particular to a license plate recognition device. Background Art
[0002] A license plate recognition device, also known as a license plate recognition system or license plate reader, is a device based on computer vision and image processing technology that is used to automatically identify and record vehicle license plate numbers. This device is widely used in traffic management, parking lot management, highway toll collection, security monitoring and other fields.
[0003] At present, barriers are usually used in conjunction with license plate recognition devices at the entrances and exits of residential communities. After the license plate recognition device recognizes the vehicle license plate, it controls the raising and lowering of the barrier to allow or deny the vehicle to pass. However, during use, if a child runs through the descending barrier railing, accidents are very likely to occur. In addition, there are no protective measures around the license plate recognition device, which is easily damaged by collision with out-of-control electric vehicles or motor vehicles.
[0004] In view of the above problems, the present utility model document proposes a license plate recognition device. Utility Model Content
[0005] The utility model provides a license plate recognition device, which solves the shortcomings of the prior art that, during use, if a child runs through a descending barrier railing, an accident is very likely to occur, and there are no protective measures around the license plate recognition device, so it is easy to be hit by an out-of-control electric vehicle or motor vehicle and cause damage.
[0006] The utility model provides the following technical solutions:
[0007] A license plate recognition device, comprising:
[0008] A concrete base, a license plate recognition machine with a built-in image processing system and a barrier gate used in conjunction with the license plate recognition machine are fixedly arranged on the top of the concrete base, a high-definition camera for collecting license plate information is arranged on the top of the license plate recognition machine, and an LED screen for displaying time and date, recognized license plate number and charging information is arranged on one side of the license plate recognition machine;
[0009] The first protection component is provided on the barrier to prevent children from passing through when the barrier on the barrier is lowered, thereby preventing accidents;
[0010] The second protection component is arranged on the concrete base and is used to prevent an out-of-control electric vehicle or motor vehicle from colliding with the license plate recognition integrated machine or the gate body.
[0011] In a possible design, the first protection component includes a human body sensor fixedly mounted on the outer wall of the barrier, the human body sensor and the LED screen are located on the same side, and the human body sensor is electrically connected to a controller built into the barrier.
[0012] In a possible design, a rubber sleeve is sleeved on the barrier of the barrier.
[0013] In a possible design, the second protection component includes a guardrail fixedly arranged on the top of the concrete base, and the crossbar of the guardrail is wrapped and covered with a thickened rubber sheet.
[0014] In a possible design, a notch is provided on one side of the guardrail to facilitate staff to inspect the license plate recognition integrated machine or the gate.
[0015] In a possible design, an LED fill light is provided on one side of the license plate recognition integrated machine to assist the high-definition camera in working and improve the recognition rate at night.
[0016] It should be understood that the above general description and the following detailed description are merely exemplary and do not limit the present invention.
[0017] In this application, when in use, connect the power supply and network, initialize the system, ensure that the license plate recognition integrated machine and the gate work normally, when the vehicle approaches the license plate recognition device, the high-definition camera starts to work, captures the front image of the vehicle, and the built-in image processing system of the license plate recognition integrated machine processes the captured image and identifies the license plate number. First, in the original image preprocessing stage, the collected image is enhanced by grayscale processing and transformation function, and at the same time, the Canny operator is used to realize edge detection; the processed image is accurately divided and located by the RGB model. The position and size of the license plate in the image; the scanning method and threshold method are used to find the boundaries around the license plate for image cutting; the Radon transform and Imrotate function are used to preprocess the segmented license plate photo to realize image correction; further, the threshold method is used to accurately segment the characters in the effective area after processing; finally, the BP neural network algorithm is used to strengthen the training to recognize the specific features of different types of characters, so as to accurately recognize the characters on the license plate, thereby improving the accuracy of license plate information collection;
[0018] The identified license plate number is displayed on the LED screen. If the vehicle has been identified by the system and confirmed to be passable, the barrier of the gate will automatically rise to allow the vehicle to pass. If the vehicle does not meet the conditions for passage, the barrier will remain closed to prevent the vehicle from passing. When the human body sensor detects that someone is passing through the barrier lowering area of the gate, it sends a signal to the controller built into the gate. The controller controls the barrier to stop descending to avoid accidents. The guardrail and the thickened rubber sheet on it provide physical protection to prevent out-of-control electric vehicles or motor vehicles from colliding with the license plate recognition integrated machine or the gate body.
[0019] The utility model has the following beneficial effects:
[0020] The utility model effectively avoids accidents caused by children passing through when the barrier bar is lowered, and collision of the license plate recognition device body by an out-of-control vehicle, by arranging the first protection component and the second protection component, thereby improving the safety of use.
[0021] The utility model combines a high-definition camera with a built-in image processing system to achieve high license plate recognition accuracy and is suitable for license plate recognition under various light and environmental conditions. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 A schematic diagram of the three-dimensional structure of a license plate recognition device provided by an embodiment of the utility model;
[0023] Figure 2 A schematic structural diagram of a license plate recognition device from another perspective provided by an embodiment of the utility model;
[0024] Figure 3 A schematic diagram of a thickened rubber sheet and guardrail separation structure of a license plate recognition device provided by an embodiment of the utility model;
[0025] Figure 4 A schematic diagram of a rubber sleeve and a barrier separation structure of a license plate recognition device provided by an embodiment of the utility model;
[0026] Figure 5 This is a flow chart of the operation of the image processing system built into the license plate recognition all-in-one machine of a license plate recognition device provided by an embodiment of the utility model.
[0027] Figure numerals: 1. Concrete base; 2. License plate recognition integrated machine; 3. Barrier; 4. High-definition camera; 5. LED screen; 6. LED fill light; 7. Guardrail; 8. Human body sensor; 9. Rubber sleeve; 10. Guardrail; 11. Thickened rubber sheet; 12. Notch. DETAILED DESCRIPTION
[0028] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments of the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.
[0029] In the description of the present invention, it should be understood that the terms "opening", "upper", "middle", "length", "inside" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.
[0030] In order to keep the following description of the embodiments of the present invention clear and concise, the present invention omits detailed descriptions of known functions and known components.
[0031] Embodiment 1
[0032] Please refer to Figure 1-4 , a license plate recognition device, which is used in the field of license plate recognition, mainly includes:
[0033] Concrete base 1, license plate recognition integrated machine 2 with built-in image processing system, gate 3, high-definition camera 4, LED screen 5, first protection component and second protection component. The license plate recognition integrated machine 2, model DH-ASI7213X-T10 and the gate 3 used in conjunction with it are fixedly installed on the top of the concrete base 1. The top of the license plate recognition integrated machine 2 is provided with a high-definition camera 4 for collecting license plate information, model DS-TCG225-WR, and one side thereof is provided with an LED screen 5 for displaying time and date, recognized license plate number and charging information;
[0034] The first protection component mainly includes a human body sensor 8, model HC-SR501, which is fixedly installed on the outer wall of the gate 3 and is located on the same side as the LED screen 5. The human body sensor 8 is electrically connected to the controller built into the gate 3. When the human body sensor 8 detects that a child or other person passes through, it will send a signal to the controller, and the controller will then control the barrier 7 of the gate 3 to stop descending to avoid accidents. In addition, in order to improve the safety of the barrier 7 when it contacts with people, a rubber sleeve 9 is provided on the barrier 7 to reduce the impact force generated during collision;
[0035] The second protection component mainly includes a guardrail 10, which is fixedly arranged on the top of the concrete base 1, and is used to protect the license plate recognition integrated machine 2 and the gate 3 from collision with an out-of-control vehicle. The crossbar of the guardrail 10 is wrapped with a thickened rubber sheet 11 to increase its impact resistance and protection performance. In order to facilitate the staff to inspect the license plate recognition integrated machine 2 or the gate 3, a notch 12 is provided on one side of the guardrail 10. When maintenance is required, the staff can enter the guardrail 10 through the notch 12 to operate;
[0036] In order to improve the recognition rate of the license plate recognition integrated machine 2 at night, an LED fill light 6 is provided on one side of the license plate recognition integrated machine 2 to assist the high-definition camera 4 in collecting license plate information in an environment with insufficient light.
[0037] Embodiment 2
[0038] Please refer to Figure 5 Among them, in the design of the built-in image processing system of the license plate recognition integrated machine 2, image acquisition, original image preprocessing, license plate positioning, license plate segmentation, segmented image preprocessing, character segmentation and character recognition are closely related steps. First, in the original image preprocessing stage, the acquired image is enhanced by grayscale processing and transformation function, and at the same time, the Canny operator is used to realize edge detection; the processed image is accurately divided and located by the RGB model. The position and size of the license plate in the image; the scanning method and threshold method are used to find the boundaries around the license plate for image cutting; the Radon transform and Imrotate function are used to preprocess the segmented license plate photo to realize image correction; further, the threshold method is used to accurately segment the characters in the effective area after processing; finally, the BP neural network algorithm is used to strengthen the training to recognize the specific features of different types of characters, so as to accurately recognize the characters on the license plate, thereby improving the accuracy of license plate information collection.
[0039] However, as is well known to those skilled in the art, the working principles and wiring methods of the license plate recognition integrated machine 2, the barrier 3 and the human body sensor 8 are commonplace, and are all conventional means or common knowledge, and will not be elaborated here. Those skilled in the art can make any optional selections according to their needs or convenience.
[0040] The above are only specific implementations of the utility model, but the protection scope of the utility model is not limited to them. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the utility model, which should be included in the protection scope of the utility model; in the absence of conflicts, the embodiments of the utility model and the features in the embodiments can be combined with each other. Therefore, the protection scope of the utility model shall be based on the protection scope of the claims.
Claims
1. A license plate recognition device, characterized in that: include: A concrete base (1), wherein a license plate recognition integrated machine (2) with a built-in image processing system and a barrier gate (3) used in conjunction with the license plate recognition integrated machine (2) are fixedly arranged on the top of the concrete base (1), a high-definition camera (4) for collecting license plate information is arranged on the top of the license plate recognition integrated machine (2), and an LED screen (5) for displaying time and date, recognized license plate number and charging information is arranged on one side of the license plate recognition integrated machine (2); A first protection component is provided on the barrier (3) and is used to prevent a child from passing through when the barrier (7) on the barrier (3) is lowered, thereby preventing an accident from occurring; The second protection component is arranged on the concrete base (1) and is used to prevent an out-of-control electric vehicle or motor vehicle from colliding with the license plate recognition integrated machine (2) or the gate (3) body.
2. A license plate recognition device according to claim 1, characterized in that: The first protection component comprises a human body sensor (8) fixedly mounted on the outer wall of the barrier (3), the human body sensor (8) and the LED screen (5) are located on the same side, and the human body sensor (8) is electrically connected to a controller built into the barrier (3).
3. A license plate recognition device according to claim 2, characterized in that: A rubber sleeve (9) is sleeved on the barrier (7) of the barrier (3).
4. A license plate recognition device according to claim 1, characterized in that: The second protection component comprises a guardrail (10) fixedly arranged on the top of the concrete base (1), and the crossbar of the guardrail (10) is wrapped and covered with a thickened rubber sheet (11).
5. A license plate recognition device according to claim 4, characterized in that: A notch (12) is provided on one side of the guardrail (10) for facilitating the inspection and maintenance of the license plate recognition integrated machine (2) or the barrier gate (3) by staff.
6. A license plate recognition device according to claim 1, characterized in that: An LED fill light (6) is provided on one side of the vehicle license plate recognition integrated machine (2) for assisting the high-definition camera (4) in working and improving the recognition rate at night.