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Real-Time Recognition Method for 0.8 cm Darning Needles and KR22 Bearings Based on Convolution Neural Networks and Data Increase

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The complexity of the background and the similarities between different types of precision parts. especially in the high-speed movement of conveyor belts in complex industrial scenes. pose immense challenges to the object recognition of precision parts due to diversity in illumination. This study presents a real-time object recognition method for 0. https://www.taqueriamedina.com/product-category/accessories-bags-7/
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