覆盖养老照护、智能家居、居家守护与智能房间等场景。本地部署、断网可用、隐私优先，缩短事件响应时间，降低监护漏检风险，支持小规模试点起步。 Covering elderly care, smart home, home guardian, and smart room scenarios. Local deployment, offline capable, privacy first -- reducing response time, lowering monitoring gaps, with small-scale pilot support.
当前重点场景 KEY SCENARIOS
为养老机构、护理院、康养中心提供跌倒检测、离床预警、事件闭环处置等本地智能监护能力。 Local intelligent monitoring for elderly care facilities with fall detection, bed-leaving alerts, and event-loop response.
查看方案View Solution面向独居长者与家庭关怀场景，提供异常行为识别、远程关怀、本地隐私保护的居家安全方案。 Home safety solutions for elderly living alone with anomaly detection, remote care, and local privacy protection.
查看方案View Solution环境感知、设备联动、个性化自适应，打造真正理解用户习惯的本地智能家居体验。 Environmental sensing, device orchestration, and personalized adaptation for a truly intelligent home experience.
查看方案View Solution多模态中枢、本地决策、空间协同，将单一房间升级为具备感知-记忆-决策能力的智能单元。 Multimodal hub with local decision-making, upgrading single rooms into intelligent units with sensing, memory, and action.
查看方案View Solution落地成效 PROVEN OUTCOMES
异常事件从发生到告警缩短至分钟级，减少处置延迟Anomaly-to-alert time reduced to minutes, minimizing response delays
24 小时多模态监测覆盖，降低夜间巡护漏检风险24/7 multimodal monitoring coverage, reducing nighttime patrol gaps
数据默认留在本地，断网可用，视频不出场Data stays local by default, offline capable, video never leaves premises
系统 30 天内自动学习行为模式，误报率持续下降System auto-learns behavior patterns within 30 days, false alarm rates drop continuously
支持单房间、单楼层试点验证，验证后再扩展部署Single-room or single-floor pilot validation, scale up after proven results
开始合作 GET STARTED
确认场景类型、部署规模与预期目标，输出初步方案Confirm scenario, scale, and goals; deliver preliminary solution
单房间 / 单楼层 2-4 周完成硬件安装、软件部署与基础调试Single room / floor: 2-4 weeks for hardware, software, and commissioning
系统试运行期间收集数据、优化参数、验证核心指标Collect data, tune parameters, and validate core KPIs during trial
输出验收报告，确认指标达成后可扩展至更大范围部署Deliver acceptance report; scale to larger deployment upon KPI confirmation
跨场景通用能力 CROSS-SCENARIO CAPABILITIES
跌倒、离床、异常事件的实时检测与分级告警Real-time detection and graded alerts for falls, bed-leaving, and anomalies
基于多模态数据的行为模式识别与异常检测Multimodal behavior pattern recognition and anomaly detection
温湿度、光照、气体等环境监测与设备自动联动Environmental monitoring and automated device orchestration
端侧行为建模、自适应学习与边缘推理决策On-device behavior modeling, adaptive learning, and edge inference
跨协议、跨设备的统一接入与协同控制Unified access and coordinated control across protocols and devices
底层平台支撑 UNDERLYING PLATFORM
所有场景方案的底层能力基座，支撑从感知到决策的全链路本地智能。 The foundational layer powering all scenario solutions, enabling end-to-end local intelligence from sensing to decision-making.
视觉/红外/毫米波/声音/环境多源融合Vision, IR, mmWave, audio, environmental fusion
50ms 事件触发，端侧芯片低功耗推理50ms event triggering, low-power on-chip inference
30天自适应行为建模，个体化策略演化30-day adaptive modeling, personalized strategy evolution
Zigbee/BLE/Matter/Modbus + 自研 XunProtoZigbee/BLE/Matter/Modbus + proprietary XunProto
数据本地化、断网可用、用户全权控制Local data, offline capable, full user control