Files
boc/vims-core/instances/parking-enforcement
Bernt 58ca4e68db feat(boc): Complete Business Operations Center v1.0
- Go backend API with full CRUD for all modules (CRM, Sales, Finance, HR, Legal, Marketing, Support, Purchase, Inventory, Projects, Automation, Analytics)
- Rust analytics service with parallel report generation
- C runtime with POSIX shared memory IPC
- PostgreSQL schema with 30+ tables, full migrations
- Redis cache, sessions, pub/sub
- Kafka event streaming with Zookeeper
- WebSocket hub for real-time updates
- Automation engine with cron jobs, workflows, event triggers
- JWT authentication, multi-tenant from start
- Docker Compose with all services
- Nginx reverse proxy with rate limiting
- Integration tests passing
- Feature gap analysis against Fortnox/Odoo/Visma

Refs: BOC-001
2026-07-12 12:41:35 +00:00
..

Parking Enforcement

VIMS instance for parking-enforcement.

Related Article

/insights/official-data-vs-observed-reality/

Anomaly Classes

  • illegal_parking
  • expired_meter
  • blocked_access
  • fire_hydrant_violation
  • handicap_violation

Quick Start

  1. Add training images to data/raw/
  2. Annotate using LabelImg (YOLO format)
  3. Run preprocessing: python src/detector.py
  4. Train model: python src/detector.py --train
  5. Run inference: python src/detector.py --predict data/test/image.jpg

API

Once deployed, access via:

  • REST: POST /api/parking-enforcement/predict
  • WebSocket: ws://host/ws/parking-enforcement/alerts