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Foundational framework for mission-critical surveillance, autonomous video intelligence, and situational awareness.

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Sentinel Core – Open-source AI video search and detection engine

by ab-abg·Feb 13, 2026·1 point·2 comments

AI Analysis

●●SolidWizardryNiche Gem
The Take

They stitched together sensible primitives — YOLO for real‑time detection and CLIP for natural‑language search — and packaged it for truly local deployments (SQLite "sovereign memory", MPS/CUDA hints, RTSP ingest). The README and demo show a coherent pipeline and multi‑camera focus, which is rarer than you'd think; what I'd like to see next is clearer install docs, reproducible benchmarks, and more evidence of robustness under production loads.

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Target Audience

Edge/AI engineers, security/surveillance teams, integrators building on-prem video analytics

Post Description

Sentinel Core is an open-source foundation layer of our AI-powered video intelligence stack.

It provides real-time object detection, semantic video search, and event indexing designed for on-premise and air-gapped deployments.

Core capabilities include:

• Real-time object detection (YOLO-based) • Semantic search over recorded footage (CLIP-based embeddings) • Multi-camera ingestion and indexing • Configurable detection thresholds • Designed for local deployment (no cloud dependency)

We’re releasing this as part of building an open ecosystem around reliable, real-world video intelligence systems.

Feedback, contributions, and technical discussion are welcome.

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Sentinel Core – Open-source AI video search with real-time dashboard

Combines YOLOv8 detection, CLIP text-to-video embeddings and FAISS indexing so you can query live and archived camera feeds with plain English; the FastAPI + WebSocket dashboard for multi-RTSP streams and zone-based alerts shows practical, deployment-minded thinking. They also call out Apple MPS/CUDA paths and a local SQLite 'sovereign memory', which makes this useful for air-gapped or edge setups — I'd still want to see performance benchmarks, scale testing, and a clear stance on privacy/ethics before recommending it for sensitive deployments.

WizardryNiche Gem
ab-abg
104mo ago