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  • Open Access


    Image-Based Automatic Energy Meter Reading Using Deep Learning

    Muhammad Imran1,*, Hafeez Anwar2, Muhammad Tufail1, Abdullah Khan1, Murad Khan3, Dzati Athiar Ramli4

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 203-216, 2023, DOI:10.32604/cmc.2023.029834

    Abstract We propose to perform an image-based framework for electrical energy meter reading. Our aim is to extract the image region that depicts the digits and then recognize them to record the consumed units. Combining the readings of serial numbers and energy meter units, an automatic billing system using the Internet of Things and a graphical user interface is deployable in a real-time setup. However, such region extraction and character recognition become challenging due to image variations caused by several factors such as partial occlusion due to dust on the meter display, orientation and scale variations caused by camera positioning, and… More >

  • Open Access


    A Detection Method of Bolts on Axlebox Cover Based on Cascade Deep Convolutional Neural Network

    Ji Wang1, Liming Li1,2,3, Shubin Zheng1,3, Shuguang Zhao2, Xiaodong Chai1,3, Lele Peng1,3, Weiwei Qi1,3, Qianqian Tong1

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1671-1706, 2023, DOI:10.32604/cmes.2022.022143

    Abstract Loosening detection; cascade deep convolutional neural network; object localization; saliency detection problem of bolts on axlebox covers. Firstly, an SSD network based on ResNet50 and CBAM module by improving bolt image features is proposed for locating bolts on axlebox covers. And then, the A2-PFN is proposed according to the slender features of the marker lines for extracting more accurate marker lines regions of the bolts. Finally, a rectangular approximation method is proposed to regularize the marker line regions as a way to calculate the angle of the marker line and plot all the angle values into an angle table, according… More > Graphic Abstract

    A Detection Method of Bolts on Axlebox Cover Based on Cascade Deep Convolutional Neural Network

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