Release Notes#

Version 1.0.0#

Release date: 2026

Source: pyproject.toml — version = "1.0.0"; main.py — version="1.0.0"; copyright headers — (C) 2026 Intel Corporation.

Summary#

Initial release of the Behavioral Analysis Service, a pose-based suspicious activity detection microservice for retail loss-prevention use cases.

Features#

  • YOLO26n-pose inference via OpenVINO Runtime (no PyTorch dependency)

  • Declarative YAML behavioral pattern engine — add new patterns without code changes

  • Built-in shelf_to_waist concealment detection pattern

  • Optional VLM confirmation via OpenVINO Model Server (Qwen2.5-VL-7B-Instruct)

  • Event-driven MQTT processing: ba/requests → ba/results

  • Async SeaweedFS (S3-compatible) frame retrieval via aioboto3

  • Circuit breaker in VLM client (3-failure threshold, 30-second cooldown)

  • Entity deduplication and max-concurrency backpressure in the MQTT consumer

  • Base image: intel/dlstreamer:2026.2.0-ubuntu24-rc2 (Python 3.12)

Dependency Versions (from requirements.txt and pyproject.toml)#

Package

Version Constraint

fastapi

>=0.109.0

uvicorn[standard]

>=0.27.0

pydantic

>=2.5.0

pydantic-settings

>=2.1.0

opencv-python-headless

>=4.9.0

Pillow

>=10.0

aioboto3

>=12.0.0

httpx

>=0.26.0

h2

>=4.0

pyyaml

>=6.0

paho-mqtt

>=1.6.1,<2.0

Base image OpenVINO

Provided by intel/dlstreamer:2026.2.0-ubuntu24-rc2