Release Notes: Live Video Captioning#

Version 2026.1.0-rc1#

May 14, 2026

New

  • Integrated model-download service as a prerequisite step to download and prepare the model.

  • Implemented Helm chart support for deployment.

  • Updated UI/UX for Alert mode.

  • Added Live Video Captioning RAG as an additional feature included in Live Video Captioning, enabling Retrieval-Augmented Generation (RAG) chat.

Known Issues

  • The sample application is not validated on the EMT-S and EMT-D variants of the Edge Microvisor Toolkit.

Version 1.0.0#

April 01, 2026

Live Video Captioning is a new sample application, using DLStreamer and VLMs to produce captions on live camera feed. It enables you to configure the VLM model used, prompt, frame selection, the rate at which the captions are generated, frame resolution, and more. It also presents usage metrics of CPU, iGPU, and memory. A rich UI displays all the configuration options, live camera feed, and the generated text.

In addition, the sample application may generate alerts with custom prompts, with customizable generation delay. Docker-based deployment is supported currently.

New

  • Docker Compose stack integrating DLStreamer pipeline server, WebRTC signaling (mediamtx), TURN (coturn), and FastAPI dashboard.

  • Multi-model discovery from ov_models/.

  • Live captions via SSE and live metrics via WebSockets.

  • Support for the live metrics service.

  • A rich graphical user interface.

Known Issues

  • Helm support is not available in this version.

Upgrade Notes

  • If you change .env values (ports, HOST_IP, model paths), restart the stack: docker compose down && docker compose up -d.