Release Notes: Smart Classroom#

Version 2026.1#

June 17, 2026

Smart Classroom 2026.1 adds a Content Search subsystem, document upload, text/image retrieval, OCR, QnA, and multilingual processing including Mandarin/Chinese. This release also adds WebRTC WHEP streaming, Intel Wildcat Lake platform support, and updates to audio transcription.

New

  • Content Search module for uploading documents and media, indexing them with OpenVINO-accelerated embedding models, and retrieving results by text or image query.

  • Q&A support in Content Search for querying uploaded content with locally running LLMs.

  • OCR in Content Search with OpenVINO and PaddleOCR for printed and handwritten documents.

  • Mandarin/Chinese language support for QnA and transcription pipelines.

  • File listing and file removal endpoints in the Content Search API.

  • Config API endpoint in Content Search for runtime search and embedding settings.

  • WebRTC WHEP streaming for low-latency live video delivery.

  • Intel(R) Core(TM) Series 3 (Wildcat Lake) processor support.

  • Video start and end timestamps in Content Search results for precise navigation.

  • Resource utilization monitoring to cap pipeline resource usage.

Improved

  • Long audio transcription is now supported with and without speaker diarization.

  • RTSP playback mode and file duration validation in the video ingestion pipeline.

  • Content Search embedding models upgraded to multilingual and cross-lingual models.

  • Batch embedding insertion for improved indexing throughput on large document sets.

  • Local PyAnnote audio model caching for offline diarization loading.

  • Pipeline startup reliability under concurrent load.

  • YOLO model configuration and quantization setting updates.

  • CMake configuration and build scripts for the gvasmartclassroom GStreamer plugin.

  • Error tracking for pipeline status reporting.

  • Video summarization output consistency.

  • UI behavior to stop active streaming sessions automatically after 10 minutes.

  • Support for DL Streamer 2026.1.

  • Summary scoring formula updates and reranker configuration refactoring.

  • Content Search download streaming optimization to reduce memory overhead for large file transfers.

Fixed

  • Crash in the video analytics pipeline.

  • Noise in per-class attendance statistics in the video pipeline.

  • Content Search cleanup when no task ID was present.

  • Duplicate file entries caused by missing task IDs during upload.

  • Inference request conflicts when embedding multiple documents concurrently.

  • Incorrect video scaling in the HLS player at some resolutions.

  • Encoding errors in video analytics output.

  • Incorrect YOLO model quantization results.

  • Content Search upload and delete operations under some conditions.

  • Corrupted file handling in Content Search that could cause indexing failures.

  • Hardcoded model name in the startup script; model name is now read from configuration.

Version 2026.0#

April 1, 2026

The Smart Classroom application now offers a series after-class summary enhancements in the form of next‑generation real-time audio and visual analytics, giving teachers and schools a better understanding of classroom dynamics through AI‑driven summaries and engagement metrics.

The Education AI Suite now also includes built-in telemetry hooks and benchmarking.

New

  • Speaker Diarization (via the Audio Pipeline):

    • identifies teacher and student speakers using NPU-accelerated diarization

    • generates an interactive audio timeline for replay and analysis

    • enables time-coded navigation within class video recordings

  • Class Engagement Metrics – Audio:

    • measure teacher and student speech duration

    • track questions asked and answered

    • track student-teacher interaction frequency

  • Class Engagement Metrics – Video:

    • track student hand raises

    • track posture changes (stand up/sit down)

    • track teacher movement

  • Built‑in telemetry to measure classroom workloads across Intel platforms (CPU core utilization, iGPU load, NPU load, memory usage, workload-specific performance counters)

  • Benchmarking scripts to reproduce Intel internal performance measurements, and validate XPU performance

Improved

  • Knowledge Graph UI readability and formatting, and increased clarity when visualizing topic relationships

Documentation and Source Code#

Previous releases#