Model registry
Register built-in and custom AI models with their input, output and runtime requirements.
Register models. Configure resources. Deploy intelligence. VIGILIX Core manages the AI deployment lifecycle across your cameras, devices and infrastructure.
Core is the platform for AI deployment. Bring models into a registry, select compatible runtimes, assign cameras and devices, configure regions and directions, and manage execution. Deployment outputs become the input to VIGILIX Eye’s dashboards, analytics and reports.
Register built-in and custom AI models with their input, output and runtime requirements.
Assign models to cameras and devices, choose a compatible runtime, and set the execution mode.
Configure polygon zones, counting lines, and independent IN and OUT directions.
Maintain visibility into deployments, inference workers and edge execution.
Organize cameras, sites, areas, users and roles around operational responsibility.
Structure model detections and events so teams can review results in VIGILIX Eye.
Register a model, validate its runtime, assign a camera and device, configure zones, then choose how inference runs. Use Core to manage the deployment throughout its lifecycle.
TensorRT · NVIDIA GPU
ONNX Runtime CUDA
ONNX Runtime CPU
Illustrative product configuration
Warehouse Gate 04
Device: NVIDIA GPU · Execution: Live
ILLUSTRATIVE IMAGESet each direction to match your camera view. Changing IN leaves OUT unchanged.
IN: right · OUT: left
Keep model and runtime configuration in Core. Use Eye to review the resulting outputs, trends, event evidence and reports.
Explore VIGILIX EyeSample report layout. No customer data or performance results.
Bring your infrastructure, services and operational response into one view. Start an ORVEXION conversation around your environment.