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		<title>Deep learning model watches warehouse workers to spot dangerous moves in real time</title>
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		<category><![CDATA[abnormal behavior detection]]></category>
		<category><![CDATA[action recognition]]></category>
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		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[e-commerce logistics]]></category>
		<category><![CDATA[logistics]]></category>
		<category><![CDATA[pose estimation]]></category>
		<category><![CDATA[skeleton extraction]]></category>
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					<description><![CDATA[A deep learning pipeline combining YOLOv5 detection, skeleton extraction and neural network classification can recognize falls, collisions and shelf climbing in warehouse surveillance footage with strong stability in crowded scenes.]]></description>
		
		
		
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