# LANDVEX INTELLIGENCE LAB **Internal Development Environment for Control Intelligence** | | | |---|---| | **Version** | 1.0 | | **Status** | SPECIFICATION | | **Purpose** | Build, test, and verify LandveX Control Intelligence before production | --- ## Core Principle **LandveX Intelligence Lab does not produce AI models. It produces verified Control Intelligence.** This is an internal tool. Never a customer product. --- ## Repository ``` landvex-intelligence-lab ``` Separate from: - `quixzoom-app` - `landvex-web` - `aamos-core` --- ## Navigation ``` Dashboard ├── Models ├── Datasets ├── Annotations ├── Training ├── Evaluation ├── Decision Cases ├── Replay ├── Validation ├── Deploy (Promote Model) └── Settings ``` --- ## Dashboard Shows AI status, not business data. ``` ┌─────────────────────────────────────┐ │ Models │ │ Detection v12 │ │ Segmentation v5 │ │ OCR v3 │ │ Decision Model v1.0 │ ├─────────────────────────────────────┤ │ Datasets │ │ Roads, Buildings, Signs │ │ Vegetation, Drainage │ ├─────────────────────────────────────┤ │ Training Jobs │ │ Running: 2 │ │ Queued: 1 │ │ Failed: 0 │ │ Completed: 47 │ ├─────────────────────────────────────┤ │ Decision Cases │ │ Validated: 23 │ │ Pending: 5 │ │ Rejected: 2 │ └─────────────────────────────────────┘ ``` --- ## Mission Replay Click through the entire chain: ``` Video → Frame → Bounding boxes → Detected objects → Evidence → Finding → Decision → Business Impact ``` --- ## Annotation ``` ┌─────────┬─────────────┬──────────────┐ │ Video │ AI Suggestion│ Manual │ │ │ │ Correction │ ├─────────┼─────────────┼──────────────┤ │ │ Object: │ Correct? │ │ │ Road Crack │ YES / NO │ │ │ Confidence: │ │ │ │ 82% │ Severity: │ │ │ │ Low / Medium │ │ │ │ / High │ └─────────┴─────────────┴──────────────┘ ``` --- ## Decision Case First-class objects: ``` Case #4232 ├── Reality ├── Observation ├── Evidence ├── Finding ├── Decision ├── Outcome └── Learning ``` All cases playable. --- ## Benchmark Compare models: | Model | Precision | Recall | F1 | Latency | Decision Accuracy | |-------|-----------|--------|----|---------|-------------------| | YOLO v8 | 0.89 | 0.87 | 0.88 | 45ms | — | | Grounding DINO | 0.91 | 0.85 | 0.88 | 120ms | — | | SAM | 0.88 | 0.90 | 0.89 | 200ms | — | | Custom | 0.92 | 0.91 | 0.915 | 60ms | 0.87 | --- ## Replay Find regressions: ``` Mission 213 ├── Play ├── Show AI ├── Show Human Annotation ├── Differences ├── New Model └── Old Model ``` --- ## Validation ``` Field Trials Scenario Tests Decision Tests Evidence Tests Golden Failures Regression Tests ``` --- ## Deploy (Promote Model) ``` Development → Validation → Pilot → Production ``` Not "Deploy". "Promote Model". --- ## Experiments ``` Experiments ├── EP-1.0 ├── DS-001 ├── DS-002 ├── DS-003 ├── Field Trials └── Metrics ``` Link experiment protocol to real development and validation data. --- ## What This Tool Collects - Model training - Annotation - Datasets - Replay - Decision chains - Validation - Regression tests - Experiments - Model promotion --- ## New Developer Experience A new AI engineer should open the repo and within minutes understand: **"This is the tool where we build, test, and verify LandveX Control Intelligence before anything reaches production."** --- ## Relationship to Principles - All development in Git - All experiments reproducible - All models traceable from training to validation to production - Version control and traceability --- ## ändringshistoria | Version | Datum | Beskrivning | |---------|-------|-------------| | 1.0 | 2026-07-02 | Initial specification for LandveX Intelligence Lab | --- ## STATUS **SPECIFICATION — Awaiting development decision**