Release notes

Latest — August 2026

Sentinel Core Vision Studio: a native Windows companion app now sits alongside the browser dashboard, plus a full model marketplace and creator program. Everything below runs on your own hardware.

Highlights

• Sentinel Core Vision Studio. A native desktop app that launches, manages, and monitors the engine — provider selection, capture setup, and health checks in one guided window, with the full tuning dashboard built in alongside it.
• WinRT-based capture. Native Windows Runtime capture support gives the engine more reliable capture modes across screens, windows, and capture devices, auto-selected for your setup.
• Output loop tunable up to 1000Hz. The output stage's decision rate is fully configurable, so you can dial in the exact cadence your hardware and use case call for.
• Two selectable projection engines. A proven stable baseline and a newer predictive engine with an optional "authority continuity" mode that keeps predictive lead steady through target changes instead of resetting it every time.
• WorldState motion bridge. An optional layer that fuses tracked-object motion into the output stage for smoother handoffs between detection and output.

Model marketplace & creator program

• Browse and buy models. A full marketplace of detection models from Sentinel and independent creators, filterable and searchable, ready to hot-swap straight into the engine.
• Creator storefronts. Every creator gets a customizable storefront — grid, card, or compact layouts — to showcase their published models.
• Apply to become a creator. Self-serve application from your account page, reviewed and approved before your storefront goes live.
• Account numbers. Every account gets a permanent, lookup-friendly account number, so support and Discord can find your account instantly without exposing personal details.

From v1.0.0 — July 2026

• Real-time detection and tracking engine. Reads a video source, detects objects with an ONNX model, and tracks them frame to frame, sending its result to a supported input device.
• Multiple swappable tracking engines. Choose the tracking behavior that best fits your source and switch between engines from the dashboard, each with its own tunable settings.
• Local tuning dashboard. A clean browser interface at localhost:5000 with simple, advanced, and developer surfaces. Every change applies live, and full profiles save, load, import, and export.
• Multi-provider GPU support. NVIDIA (CUDA / TensorRT), AMD and Intel via DirectML, and ONNX Runtime, with automatic detection of the fastest available provider and a safe fallback if one is missing.
• Optional color fusion. An additional layer that confirms detections by color alongside the model, with a live color scout that ranks the colors in your frame so you can prioritize or exclude a color.
• Hot-swappable ONNX models. Load and switch detection models from the dashboard without restarting the engine, so you can compare speed- and accuracy-tuned models in real time.
• Flexible capture. Reads from a capture source or built-in desktop capture, and auto-selects a suitable capture mode for your setup.
• Guided setup and licensing. A launcher where you enter your license key, plus a system readiness check that flags anything missing before you start. See Downloads for install steps and system requirements.
• Documentation and support. Full setup and configuration guidance in the docs, common fixes in troubleshooting, and help through support or the FAQ.

Future releases and fixes will be listed here as they ship. Performance depends on your hardware, GPU, drivers, model, configuration, and environment.