AUDIT AUTOMATION ARCHITECTURE BENCH

Hover execution nodes below to dynamically inspect component arguments, logic parameters, and codebase execution signatures.

1. Project Configuration Layout
LU — Setup Config
RU — Env Scope
LB — Var Matrix
2. Utility Hub: Preprocessing Base
VI2IMG — Extractor
BGCREATE — Negatives
TiltMDR — Deskew
3. Utility Hub: Annotation & QA
IMGPRO — Box Labeller
LBLCR — Coordinates
BOX2VAL — Reviewer
4. Pipeline Sequencing & Dependency Layer
Sequence Engine
State Locking
Graph Paths
5. Execution Hub & Deep Learning
YOLO Core Loop
MobileNetV2 Node
Model Weights
6. Evaluation Hub & Inference Engines
EVENT_PREDICT
VI2LBLVIEW — Stride
VI2BGREM — Slicer
7. Auditing, Optical Analytics & Reports
Surya OCR Engine
VIDEO-AUDIT Log
FPDF Report Hub
1. Model Generation Flow Architecture (Model_G)
Video/Folder Path Input Video Frames Processing (VI2IMG) Background Image (BGCREATE) Bounding Box Labelling (IMGPRO) Coordinate Files Ext. (LBLCR) YOLO Training Loop Best Model Weights snapshot_target (.pt)
2. Model-Based Prediction Flow Architecture (Model_Based_Pr)
Live Input Stream Real-Time Inference (EVENT_PREDICT) NMS Bounding Box (VI2LBLVIEW Overlays) Verification Analyzer (VIDEO-AUDIT Pass/Fail)
Hover over any processing node component on the left layout array to instantly mount core workspace code signatures and runtime variables inside this frame.
Operational Note: The processing blocks mapped out across these production workflows represent functional physical target utility units. Because each individual engine is 100% modular and reconfigurable, any basic baseline model generated via this interface scales seamlessly into a highly optimized, high-fidelity network surveillance asset.