基于AI生物识别的智慧生态体验场景设想

Concept of Smart Ecological Experience Scenarios Based on AI Biometrics

摘要: 本研究拟结合水下可视化技术和行业专业水生生物资料库，定制化AI生物识别技术，实现水生物种类识别、水生物行为观察，满足公众对水生物和河湖水鸟的观察需求。通过整合高清水下摄像头、先进的AI算法及视频云直播技术，形成一套智能化的水生态监测和观察平台。系统可实现水生物种的实时识别等功能，为生态保护提供重要数据支撑。通过视频汇聚和分析平台，整合多源水生态监测数据，可提高监测效率和精度。通过视频直播的形式，增强了公众对水生态环境的认识，丰富了公众对水生态环境的体验方式。

Abstract: This study integrates underwater visualization technology with specialized industrial aquatic organism databases to customize AI biometric technology, which can identify aquatic species and observe the behaviors of aquatic organisms, thereby meeting the public’s demand for observing aquatic creatures as well as waterbirds inhabiting rivers and lakes. An intelligent aquatic ecological monitoring and observation platform is built by integrating high-definition underwater cameras, advanced AI algorithms and cloud video live streaming technology. Capable of real-time aquatic species identification and other functions, the system delivers vital data support for ecological protection. The video convergence and analysis platform consolidates multi-source aquatic ecological monitoring data to elevate monitoring efficiency and precision. In the form of live video streaming, the platform raises public awareness of aquatic ecological environments and diversifies public experience modes related to aquatic ecosystems.