AI SystemEngineering Work

DCRE MVP

Multi-model AI pipeline analyzing video frames across 22 safety categories with explainability.

~0.5–1s per frame processing with multi-user support.

AIComputer VisionExplainability

System Architecture

Diagram focused on system boundaries, data flow, and integration responsibilities.

DCRE AI System Pipeline Diagram

Video Input

Raw video ingestion.

Frame Extraction

OpenCV

Frame sampling & preprocessing.

Multi-Model Inference

PyTorch, Transformers

Parallel model execution.

Classification Layer

22 safety categories classification.

Aggregation Engine

Combines multi-model outputs into structured result.

Results Storage

MongoDB

Stores results + metadata.

Visualization Dashboard

Streamlit

Visualization + inspection.

~0.5–1.0s per frame~0.3–1 FPS processingBatch + semi-real-time capable