System Requirements#

This page summarizes the recommended environment for running Live Video Alert Agent.

Hardware Platforms used for validation#

  • This application is specifically targeting the Core™ platforms. Intel® Core™ Ultra 2 and 3 with integrated GPU are supported currently.

  • While there is no hard restriction in using this application on Intel® Xeon® platforms with/without Intel® Arc™ GPUs, the user is requested to raise a feature ticket in case of any requirement.

Operating Systems used for validation#

  • Ubuntu: Refer to the official documentation for details on required kernel version. For the listed hardware platforms, the kernel requirement translates to Ubuntu 24.04 or Ubuntu 24.10 depending on the GPU used.

Minimum Requirements#

Component

Minimum

Recommended

Memory

16 GB

32 GB

Disk Space

64 GB SSD

128 GB SSD

Software Requirements#

  • Docker Engine and Docker Compose

  • Intel® Graphics compute runtime (if using Intel GPU for inference acceleration)

  • RTSP source reachable from the live-video-alert-agent container (optional, can be added via UI)

Network / Ports#

Default ports (configurable via environment variables):

  • PORT=9000 (Dashboard UI and REST API)

  • METRICS_PORT=9090 (Live metrics WebSocket service)

Model Requirements#

The application automatically downloads VLM models on first run (~2GB). The models are left to user to configure. For example.

  • OpenVINO/Phi-3.5-vision-instruct-int4-ov

  • OpenVINO/InternVL2-2B-int4-ov

Configure these via environment variables:

export OVMS_SOURCE_MODEL=OpenVINO/InternVL2-2B-int4-ov

The user is expected to acknowledge the licensing terms and conditions before selecting the model.

Validation#

Proceed to Get Started once Docker is installed and internet connectivity is available for model downloads.