| We just released a major update to Sentinel Core, our open-source AI-powered video intelligence engine. The new release includes a real-time multi-camera dashboard, semantic video search, and an upgraded detection pipeline. Sentinel Core is built around an AI-native architecture: - YOLOv8 for real-time object detection - CLIP for semantic search (text-to-video queries) - FAISS for vector indexing - FastAPI backend with WebSocket streaming - Fully air-gapped deployment capable You can now: - Stream multiple RTSP/IP camera feeds in a live grid view - Search footage using natural language (e.g. “blue car near gate between 2-5pm”) - Perform cross-camera semantic retrieval - Configure zone-based alerts - Run everything locally without cloud dependency We designed this as a foundational engine for modern surveillance and physical AI systems. Would appreciate feedback on: - Architecture decisions - Performance optimizations - Semantic search accuracy - Deployment improvements Happy to answer technical questions. |