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		<title>AI Listens to Traffic Cameras to Hear Dangerous Roadside Winds</title>
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		<pubDate>Fri, 16 Oct 2026 07:06:39 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[audio features]]></category>
		<category><![CDATA[BiGRU]]></category>
		<category><![CDATA[crosswind]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[environmental sensing]]></category>
		<category><![CDATA[intelligent transportation]]></category>
		<category><![CDATA[road safety]]></category>
		<category><![CDATA[traffic surveillance]]></category>
		<category><![CDATA[typhoon]]></category>
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		<category><![CDATA[wind speed recognition]]></category>
		<category><![CDATA[wind-sound fingerprint]]></category>
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					<description><![CDATA[Researchers in Nanjing have turned ordinary traffic surveillance cameras into wind sensors, using a deep learning model called WindEarNet to recognize wind speed levels from roadside audio with up to 88.1 percent detection of high-wind conditions during two typhoon events.]]></description>
		
		
		
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