Computer Vision & Video Analytics

CreaVision

Multi-Camera Re-Identification & In-House Tracking Engine

> 94%
Cross-camera ID retention
3.2x
Throughput optimization vs standard open-source trackers
Real-time
Multi-stream edge execution

Technical Scope

Multi-camera surveillance and monitoring environments fail when tracking models lose subject identity during occlusions or blind-spot handoffs.

CreaVision established an in-house visual re-identification pipeline that extracts identity embeddings and associates them across disparate camera streams.

Architecture Highlights

  • Spatial-Temporal Re-ID: Extracted visual feature vectors coupled with temporal movement heuristics to disambiguate targets re-entering scenes.
  • Optimized Detection & Association: Integrated pruned Mask R-CNN feature extractors with an optimized DeepSORT association matrix, achieving real-time multi-camera frame processing on edge hardware.

Need a similar system architecture?

We assess feasibility, map real-world failure modes, and scope high-reliability technical roadmaps.

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