Feature enhanced SSD algorithm and its application in meter reading recognition
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College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China

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TP39

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    Abstract:

    Aiming at the problem that the traditional SSD algorithm lacks the exchange of feature information between features at different scales, which is not conducive to target positioning and recognition, so that the detection results of the traditional SSD algorithm often can not meet the actual accuracy requirements, and the detection speed can not meet the actual requirements, so it is improved, and the lightweight network mobilenet-v2 and feature fusion module are introduced, Compared with the traditional SSD algorithm, the detection accuracy (map) has reached 98.32% and the detection speed (FPS) has reached 72 frames / s. It has better application value for practical engineering projects.

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  • Online: August 09,2024
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