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Pet Drying Box Heat Stress Analysis | 宠物烘干箱内热应激预警

#93 of 177
33 score

Triggers when a user provides a pet drying box area video URL or file for analysis; supports local video uploads or network URLs to call server-side APIs for pet heat stress signal detection, analyzing open-mouth panting intensity, tongue color (pink/cyanotic), and body movement frequency to identify early heat stress signals, outputting risk levels and supporting auto-cooling or stopping drying. Application scenarios: pet drying boxes, pet grooming stores, pet hospitals. Development reason: prevent heatstroke and improve safety. | 当用户提供宠物烘干箱区域的视频URL或文件时,触发本技能进行烘干箱内热应激预警分析;支持通过上传本地视频或网络视频URL,调用服务端API进行热应激信号识别,分析张口喘气强度、舌体颜色(粉红/紫绀)、身体移动频率,识别热应激早期信号,输出风险等级,支持自动降温或停止烘干。应用场景:宠物烘干箱、宠物美容店、宠物医院。

Ranked #93 out of 177 indexed skills.
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Signal Breakdown

Installs 0
Freshness GitHub not linked
Issue Health GitHub not linked
Stars GitHub not linked
Platform Breadth 1 platform
Contributors GitHub not linked
Description Detailed

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Platforms medium impact

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AgentRank score for Pet Drying Box Heat Stress Analysis | 宠物烘干箱内热应激预警
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Supported Platforms

openclaw