DCCV - Distributed Cluster for Computer Vision

A distributed computer vision system built with Akka actors and Docker Swarm for real-time computer vision algorithms.

Documentation

• API Documentation - Akka actors main protocols, REST and Docker APIs
• Latest Release - Deployment files
• Source Code - GitHub repository
• Docker Images - Container registry

Quick Start

1. Download the app deployment script:

   curl -sSL https://github.com/brunoesposito2/DCCV/releases/download/v$VERSION/deploy-dccv.sh -o deploy-dccv.sh
   

2. Make it executable:

   chmod +x deploy-dccv.sh
   

3. Launch command

   ./deploy-dccv.sh ${VERSION}
   

Manual Deployment

1. Initialize Docker Swarm:

   docker swarm init
   export JOIN_TOKEN=\$(docker swarm join-token -q worker)
   export MANAGER_IP=\$(docker node inspect self --format '')
   

2. Create overlay network:

   docker network create --driver overlay --attachable swarm-network
   

3. Deploy stack:

   docker stack deploy -c docker-compose-prod.yml dccv
   

Architecture

Component	Technology	Purpose
Camera Node	C++/OpenCV	Computer vision processing
GUI Frontend	React	Web interface
GUI Backend	Scala/Akka/Vertx	REST API & coordination
Utility Node	Scala/Akka	Cluster supervision
Storage	MongoDB	Data persistence

Features

• Real-time computer vision with face/body detection
• Distributed actor system using Akka clustering
• Live video streaming via WebSocket
• Docker Swarm orchestration for scalability
• Modern web interface with React
• Automated CI/CD with semantic versioning

Technology Stack

Backend: Scala, Akka, C++, OpenCV, Vertx, MongoDB
Frontend: React, WebSocket
DevOps: Docker Swarm, GitHub Actions, Gradle