[Bug - NOK] Object tracking degrades after adding 7th camera in SceneScape 2025.2 (Kubernetes, Helm deployment)

[palwithpen]

🐛 Bug Description

We deployed Intel® SceneScape version 2025.2 on a Kubernetes cluster using the official Helm charts. During scalability testing, we observed a degradation in object tracking accuracy when the number of cameras exceeds six.

With up to six cameras, object detection and tracking are precise and stable. However, after adding and calibrating a seventh camera, the tracker begins to intermittently miss objects across one or more streams. This occurs without any other configuration changes.

🎥 Camera / Stream Configuration

• Stream protocol: RTSP
• Resolution: 1024 × 540
• Frame rate: 5 FPS
• Objects per camera: ~6 moving objects

5PeopleFPS5.mp4

Calibration: Successfully completed for all cameras

Time chunking: Disabled

📋 Steps to Reproduce

• Clone the SceneScape repository and build the images:
  make

• Push the generated Docker images to a container registry.

• Navigate to the Kubernetes deployment directory:
  cd kubernetes

Deploy SceneScape using Helm:

make copy-files && \
make install-cert-manager && \
helm upgrade --install scenescape scenescape-chart/ \
  -n scenescape \
  --create-namespace \
  --timeout=10m \
  --set supass=change_me \
  --set pgserver.password=change_me

• Add six cameras, provide RTSP streams, and complete calibration.

• Observe that object detection and tracking are stable.

• Add a seventh camera and complete calibration.

• Observe that object detection begins to flicker and objects are intermittently missed.

✅ Expected Behavior

After adding and calibrating the seventh camera, object detection and tracking should remain consistent and stable, similar to the behavior observed with six cameras.

❌ Actual Behavior

Once the seventh camera is added:

Object detections intermittently disappear

Tracking becomes unstable across one or more camera streams

📦 Release Information

SceneScape version: 2025.2

🧩 Environment

Operating System: Ubuntu 24.04.3 LTS
Deployment: Kubernetes (Helm)
Hardware: CPU-only
CPU: 13th Gen Intel® Core™ i9-13900E
Python version: 3.10
OpenVINO version: Not applicable / not explicitly used

[saratpoluri]

This issue is being actively debugged.