Release Notes: Smart Kiosk Assistant#
2026.2.0-rc1#
This release expands Smart Kiosk Assistant with queue-aware ordering, a refreshed web experience, and a streamlined build workflow. This update includes the following changes:
The kiosk front end has been rebuilt as a React (Vite + TypeScript) single-page application, replacing the previous Gradio interface for a faster and more customizable web experience.
The ordering agent now runs its Qwen3-4B language model through OpenVINO Model Server (OVMS) instead of an in-process OpenVINO model, providing a dedicated, OpenAI-compatible inference endpoint for tool-calling.
A new queue analytics capability adds a person-counting service and an RTSP streamer, using YOLO detection with OpenVINO to track queue length from a video feed and expose a live MJPEG overlay stream.
The ordering flow can now adapt to real-time queue conditions, surfacing a dynamic peak-hour menu driven by the queue-service integration.
Speaker diarization has been enabled across the audio-analyzer and kiosk-core pipeline, improving turn attribution during multi-speaker interactions.
An optional multimodal identity service adds Face ID and voiceprint authentication, combining OpenVINO face and ECAPA voice inference with a FAISS index and SQLite loyalty profiles, enabled through a dedicated deployment profile.
A Makefile-based workflow simplifies setup and operations with targets for environment initialization, model download, sample-video retrieval, image build, service startup, health checks, and cleanup.
Sample-video tooling downloads and provisions the RTSP feed clips used by the queue analytics pipeline, configurable through the environment file.
2026.1.0#
The initial release of Smart Kiosk Assistant marks the launch of a voice-enabled interactive application for retail, QSR, Airlines and other customer-facing environments. The application has the following features:
Designed as a conversational AI experience, it enables users to engage naturally through speech and receive intelligent, spoken responses in real time.
The platform brings together speech recognition, retrieval-augmented generation, and text-to-speech in a seamless, end-to-end voice interaction flow.
With browser-based voice capture and natural audio playback, the experience feels intuitive, responsive, and ready for real-world engagement.
Smart Kiosk Assistant grounds every response in an ingestible local knowledge base, helping deliver more relevant, context-aware, and business-specific answers.
Its integrated AI stack combines kiosk UI, orchestration, speech-to-text, retrieval, and speech synthesis into a unified deployment-ready application.
The experience is further enhanced by built-in visibility into model KPIs and live performance data, including runtime model details and latency metrics.
Optimized for local and edge deployment, the application leverages OpenVINO acceleration on Intel hardware for efficient AI inference.
Docker Compose packaging and flexible configuration make the solution easy to deploy, adapt, and scale across enterprise environments.
This launch establishes Smart Kiosk Assistant as a strong foundation for immersive, intelligent, and voice-first digital engagement experiences.