A vehicle chassis detection method based on deep learning

A technology of deep learning and detection methods, applied to instruments, character and pattern recognition, computer components, etc., can solve problems that affect accuracy, fatigue, and tediousness, and achieve the effect of saving manpower

Inactive Publication Date: 2019-05-21
上海眼控科技股份有限公司
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  • Abstract
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Problems solved by technology

In the traditional vehicle annual inspection, the vehicle chassis inspection is mainly through manual inspection. The repetitive work of check

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  • A vehicle chassis detection method based on deep learning
  • A vehicle chassis detection method based on deep learning

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings.

[0034] Such as figure 1 As shown, the system structure of the present invention includes a target detection module, a preliminary judgment module, a character segmentation recognition module and a comprehensive judgment module. Wherein, the target detection module includes: a vehicle target detection module, a license plate target detection module and a staff target detection module. The preliminary judging module includes: a first judging module, a second judging module and a third judging module.

[0035] The communication connection relationship between each module is: use the vehicle target detection module to detect the vehicle chassis image, and send the detection result to the first judgment module, the first judgment module extracts the vehicle area image from it, and marks it, and then Send the vehicle area image to the license plate target detection module ...

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Abstract

The invention discloses a vehicle chassis detection method based on deep learning. The method comprises the following steps: obtaining a to-be-detected vehicle chassis image; Detecting a vehicle chassis image by adopting a vehicle target detection model, and judging and extracting a vehicle region image; Detecting the vehicle area image by adopting a license plate target detection model, and judging and extracting the license plate area image; Detecting the license plate number area by adopting a character segmentation recognition model to recognize the license plate number, and matching a recognition result with the archived license plate number; Detecting the vehicle chassis image by adopting a worker target detection model, and judging whether a worker exists in the vehicle chassis image or not; And counting and analyzing the action result of the whole process. According to the invention, license plate number automatic verification matching inspection and chassis station worker inspection are realized, and unpassed verification images and reasons can be sent back to the server to be saved for evidence collection, so that manpower is saved, and justice and disclosure of verification work are ensured.

Description

technical field [0001] The invention relates to the field of vehicle annual inspection intelligent detection technology, in particular to a vehicle chassis detection method based on deep learning. Background technique [0002] With the continuous development of social economy and the continuous improvement of people's living standards, the number of urban motor vehicles has increased rapidly. The workload of the annual inspection of motor vehicles has also increased rapidly. In the traditional annual vehicle inspection, the vehicle chassis inspection is mainly through manual inspection. The repetitive work of checking the license plate number and judging whether the staff exists is tedious and easily fatigued, which affects the accuracy of the judgment. [0003] How to accurately and quickly inspect the photos of the chassis station, while avoiding the disadvantages of high cost of manual calibration, easy fatigue, and easy negligence, is a technical problem that needs to b...

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Application Information

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IPC IPC(8): G06K9/32G06K9/62
Inventor 周康明
Owner 上海眼控科技股份有限公司
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