System Requirements#
This page provides detailed hardware, software, and platform requirements to help you set up and run the POI Re-identification system efficiently.
Hardware Requirements#
Component |
Minimum |
Recommended |
|---|---|---|
CPU |
Intel® Core™ i7 (8th gen+) |
Intel® Xeon® Scalable (4th gen+) |
RAM |
16 GB |
32 GB |
Storage |
50 GB SSD |
100 GB NVMe SSD |
GPU |
Not required (CPU inference) |
Intel® Arc™ for accelerated inference |
Network |
1 Gbps Ethernet |
10 Gbps Ethernet |
Software Requirements#
Software |
Version |
Purpose |
|---|---|---|
Ubuntu |
22.04 / 24.04 |
Host operating system |
Docker |
24.0+ |
Container runtime |
Docker Compose |
v2.20+ |
Multi-container orchestration |
Python |
3.10+ |
Backend runtime |
Git |
2.30+ |
Version control |
Make |
4.3+ |
Build automation |
Supported Platforms#
The POI system has been validated on:
Intel® Xeon® Scalable Processors (4th and 5th Generation)
Intel® Core™ Ultra Processors
Ubuntu 22.04 LTS and 24.04 LTS
Intel® SceneScape Requirements#
The POI system requires Intel® SceneScape with the following DL Streamer models:
Model |
Purpose |
Output |
|---|---|---|
|
Person detection |
Bounding boxes |
|
Face detection |
Face bounding boxes |
|
Face re-identification |
256-d float32 vector |
|
Body re-identification |
256-d float32 vector |
Note: The POI system uses only face embeddings (
face-reidentification-retail-0095) for FAISS matching. Body re-identification embeddings (person-reidentification-retail-0277) are from a different embedding space and are used only for SceneScape cross-camera tracking.
Compatibility Notes#
GPU inference acceleration requires Intel® integrated graphics or compatible Intel® discrete GPUs with OpenVINO™ support.
FAISS is configured with
IndexFlatIPfor exact cosine similarity — no GPU acceleration is required for the vector search component.Redis 8.x is recommended for optimal performance with the event storage and caching layer.
Validation#
Follow instructions at Get Started to verify the deployment.