Public Place Group Emotion Index (Exhibition / Mall) | 公共场所群体情绪指数（展览/商场）
v1.0.0Using fixed cameras in malls, exhibition halls, scenic areas and other public places, the system analyzes facial expressions of multiple people in the scene in real time (with anonymized expression recognition only), aggregates the distribution of emotions (happy, calm, irritated, surprised, sad, fearful, etc.), and computes an overall group-emotion index (0-100; higher = more positive). This skill helps operators understand customer satisfaction, optimize service layout, or trigger public-safety warnings (e.g., a high irritation ratio may indicate conflict risk). Application scenarios: shopping malls, exhibition halls, museums, theme parks, airport waiting halls. The system periodically generates group-emotion reports to support management decisions. Skill features: understanding customer emotions enables malls to promptly adjust services (e.g., open more checkouts, improve air conditioning, optimize traffic flow) and boost satisfaction; for exhibitions, it assesses exhibit appeal; for public safety, it warns against group irritation that may escalate into conflict. AI anonymous analysis delivers valuable insights while protecting privacy and is an essential capability of smart malls and smart scenic areas. Can be integrated into existing security systems or business-analytics platforms. | 通过商场、展览馆、景区等公共场所的固定摄像头，实时分析场景中多人的面部表情（使用匿名化表情识别），统计各类情绪（愉悦、平静、烦躁、惊讶、悲伤等）的分布比例，计算整体情绪指数（0-100，数值越高代表群体情绪越积极）。该技能可帮助运营方了解顾客满意度、优化服务布局，或用于公共安全预警（如烦躁情绪比例过高可能预示冲突风险）。应用场景：购物中心、展览馆、博物馆、主题公园、机场候机厅。系统定期生成群体情绪报告，辅助管理决策。技能特点：了解顾客情绪能帮助商场及时调整服务（如增加收银台、改善空调、优化动线），提升满意度；对展览馆可评估展品吸引力；对公共安全可预警群体暴躁可能引发的冲突。通过AI匿名分析，在保护隐私的前提下获取有价值的数据洞察，是智慧商场、智慧景区的重要功能。该技能可集成到现有安防系统或商业分析平台中。
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