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Atriva Edge AI Platform

Guides, tutorials, and API references to help you build and deploy Edge AI applications.

High-Level System Architecture

This document explains how the frontend, backend, video pipeline, and AI inference engine fit together.

Below is an ASCII diagram representing the major components.

                         ┌───────────────────────────┐
                         │        Frontend UI        │
                         │  (Web App / Dashboard)    │
                         │ - Streams status          │
                         │ - Shows analytics         │
                         │ - Manages devices/models  │
                         └─────────────┬─────────────┘
                                       │ REST / WebSocket

┌──────────────────────────────────────────────────────────────────────────────────┐
│                                Backend Server                                    │
│                        (FastAPI / Python / OpenVINO)                             │
│                                                                                  │
│         ┌─────────────────────────────┬──────────────────────────────────┐       │
│         │ Device & Stream Manager     │ Model Manager                    │       │
│         │ - Add/remove cameras        │ - Load built-in models           │       │
│         │ - Configure pipelines       │ - Load user models               │       │
│         └───────────────┬─────────────┴──────────────────────────────────┘       │
│                         │                           ▲                            │
│                         │                           │ Calls Inference API        │
│                         ▼                           │                            │
│                  ┌───────────────────────────────────────────┐                   │
│                  │         Video Processing Pipeline         │                   │
│                  │       - Decode streams (RTSP/Files)       │                   │
│                  │       - Preprocess frames                 │                   │
│                  │       - Batch scheduling (optional)       │                   │
│                  └─────────────────────┬─────────────────────┘                   │
│                                        │                                         │
│                                        ▼                                         │
│                         ┌──────────────────────────────┐                         │
│                         │      AI Inference Engine     │                         │
│                         │  (Atriva AI – OV Runtime)    │                         │
│                         │ - Executes OpenVINO models   │                         │
│                         │ - Handles CPU / GPU / NPU    │                         │
│                         │ - Post-processing of results │                         │
│                         └──────────────────────────────┘                         │
│                                        │                                         │
│                                        ▼                                         │
│                         ┌──────────────────────────────┐                         │
│                         │   Results / Events / Frames  │                         │
│                         └──────────────────────────────┘                         │
│                                                                                  │
└──────────────────────────────────────────────────────────────────────────────────┘


                            ┌───────────────────────────┐
                            │    Frontend Dashboard     │
                            │ - Object boxes            │
                            │ - Attributes              │
                            │ - Tracking                │
                            │ - Logs / analytics        │
                            └───────────────────────────┘

Components Explained

1. Frontend

  • Web dashboard (Next.js, React, Svelte, Astro, etc.)
  • Displays video overlays, analytics, system status
  • Communicates with backend via REST + WebSockets

2. Backend API

  • FastAPI or similar framework

  • Manages:

    • Video pipeline
    • Models
    • GPU/NPU device selection
    • Stream configuration

3. Video Pipeline

  • Pulls frames from camera or file
  • Frame decoding (FFmpeg / GStreamer)
  • Preprocessing: resize, normalize, color conversion
  • Sends frames to inference asynchronously

4. AI Inference Engine (Atriva AI – OpenVINO)

  • Loads IR models

  • Runs optimized inference on:

    • CPU (x86 / ARM)
    • Intel GPU
    • Intel NPU (Meteor Lake)
  • Handles post-processing for:

    • Classification
    • Detection
    • Segmentation
    • Re-ID

5. Results Layer

  • Structures inference outputs
  • Streams JSON results to frontend
  • Can generate thumbnails or overlay frames