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A license plate recognition method and system

A license plate recognition and license plate technology, applied in the field of license plate recognition methods and systems, can solve problems affecting recognition speed, reduce traffic efficiency, consume network resources, etc., achieve the effect of increasing recognition speed, improving recognition rate, and reducing costs

Active Publication Date: 2021-05-25
成都宜泊信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1. Affect recognition speed
In parking lots or expressways, etc., there are high requirements for vehicle passing efficiency. If each vehicle needs to be identified twice, uploading pictures and issuing recognition results and other processes will lead to longer time occupation and lower traffic efficiency.
[0005] 2. Increase network fees
Uploading pictures and receiving recognition results will consume network resources. In wireless transmission such as 4G or NB, if a second recognition is performed every time a vehicle passes, the network cost will be significantly increased.
[0006] 3. Increase the workload and cost of cloud computing
[0007] To sum up, the cost of front-end hardware recognition is low, but the recognition rate is also low, and the recognition speed is fast. The cost of cloud recognition is high, but the recognition rate is also high, and the recognition speed is slow. The license plate recognition scheme of the prior art does not integrate front-end hardware recognition and cloud recognition. Advantages, can not take into account the cost and recognition rate

Method used

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  • A license plate recognition method and system
  • A license plate recognition method and system
  • A license plate recognition method and system

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0041] Example 1: Vehicle A gets the first local recognition result after local license plate recognition at the entrance, which is an incomplete license plate number, and then proceeds to the cloud license plate recognition to get the first cloud recognition result, which is Chuan A12345, and the first cloud recognition The result is stored locally after being associated with the first license plate picture of vehicle A as the first local recognition result. After that, vehicle A arrives at the exit, and vehicle A obtains the second local recognition result through local license plate recognition at the exit, which is an incomplete license plate number, and then continues to perform cloud license plate recognition to obtain the second cloud recognition result, which is Chuan A12345, Find the first local identification result of Chuan A12345 in the local storage records, which is the same as the second cloud identification result, indicating that the vehicle currently leaving i...

example 2

[0042] Example 2: Vehicle A obtains the first local recognition result Sichuan A12345 (accurate recognition) through local license plate recognition at the entrance, and saves the first local recognition result after being associated with the first license plate picture of A vehicle. After that, vehicle A arrives at the exit, and vehicle A obtains the second local recognition result through local license plate recognition at the exit, which is an incomplete license plate number, and then continues to perform cloud license plate recognition to obtain the second cloud recognition result, which is Chuan A12345, Find the first local identification result of Chuan A12345 in the local storage records, which is the same as the second cloud identification result, indicating that the vehicle currently leaving is A vehicle, and then calculate the normal fee based on the first local identification result and the second cloud identification result settlement.

[0043] refer to figure 2 ...

example 3

[0053] Example 3: Vehicle A gets the first local recognition result after local license plate recognition at the entrance, which is an incomplete license plate number, and then proceeds to cloud license plate recognition to get the first cloud recognition result, which is Chuan A12345, and the first cloud recognition The result is stored locally after being associated with the first license plate picture of vehicle A as the first local recognition result. Afterwards, a vehicle (maybe A vehicle, or other vehicles) arrives at the exit, and the vehicle passes through local license plate recognition at the exit to obtain the second local recognition result, which is an incomplete license plate number, and then continues to carry out cloud license plate recognition The second cloud recognition result is obtained, but it is also an incomplete license plate number, indicating that the vehicle currently leaving is indeed an unlicensed vehicle, and then the abnormal fee settlement for t...

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Abstract

The invention discloses a license plate recognition method and system. In the method, the local license plate recognition is performed on the vehicle at the entrance and the exit. The recognition result is matched with the local recognition result at the entrance or the cloud recognition result. If the same result is matched, the vehicle will be settled normally. The invention can improve the recognition rate, reduce the cost and improve the recognition speed at the same time.

Description

technical field [0001] The invention relates to the technical field of license plate recognition, in particular to a license plate recognition method and system. Background technique [0002] The way of parking lot management through front-end hardware recognition of license plates has become very common. Using a dedicated recognition chip, the recognition rate is high and the recognition speed is fast. Normally, it can exceed 98%, or even reach 99.5%, which has been generally recognized by the market. However, due to cost control reasons, the front-end hardware has relatively few computing resources, which cannot meet the recognition rate of some complex scenes, such as reflections and too fast speeds. In order to improve the license plate recognition rate, many parking lot management systems also use manual or cloud-based secondary recognition schemes, and compare the results of the secondary recognition with the hardware recognition results to improve the license plate re...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/017H04L29/08G07B15/02
CPCG07B15/02G08G1/0175H04L67/10H04L67/12
Inventor 陈诚杨涛
Owner 成都宜泊信息科技有限公司
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