Leverages the advancement of artificial intelligence to build a smart system in the Out-of-Home (OOH) advertising sector, enabling data-driven decision-making, real-time audience analytics, and intelligent content delivery. By integrating computer vision, machine learning, and IoT technologies, the system aims to optimize ad placements, maximize audience engagement, and transform traditional outdoor advertising into a measurable and adaptive medium.

This system is designed for vehicle detection using edge and central servers. The FastAPI backend can be deployed in two environments:

• 🏢 Main Server (Cloud or Central Server)
• 📦 Edge Device (CCTV + Mini PC/NVIDIA Jetson)

A Hub is a backend instance. Each backend deployment equals one Hub. There are two types of Hubs:

Deployed on the central server. Has full access and acts as superadmin. Responsible for managing and receiving data from all Edge Hubs. Exposes APIs to control and receive data from Edge Hubs.

Deployed on edge devices (e.g., CCTV locations). Responsible for:

• Local vehicle detection.
• Sending data to the Super Hub.

It Cannot be managed by normal users — only syncs data to Super Hub. Has a local superuser, but when syncing to the Super Hub, it behaves as a normal user.

• 📌 Superuser in Edge Hub:

  • Automatically created on deployment.
  • Used for local operations.
  • When sending data to the Super Hub, it's registered there as a normal user.

• 📌 Normal User in Super Hub:

  • Can create data (e.g., item, site) but has no admin rights.
  • Helps to identify the source of the data sent from each Edge Hub.

A Site represents a CCTV unit registered under an Edge Hub. Each Edge Hub has at least one Site. When a Site is registered:

• It is also synced to the Super Hub with the associated owner_id.
• Stored in the site table in both Edge and Super Hub.

Useful for:

• Managing multiple CCTVs under a single Edge Hub.
• Tracking data based on physical location.

Entities such as site and item are automatically synced from Edge Hub to Super Hub. Include a status flag to track whether the data has been synced. ⛓️ Each Edge Hub stores information about the Super Hub (endpoint + token).📤 Data is pushed from Edge to Super Hub periodically and automatically.

Currently, there is only one Super Hub in the system. Future versions may support distributing data to multiple Super Hubs.

• *Modelling: Modelling.
• *Backend: Documentation.
• *Frontend: Documentation.
• *Development: Development.
• *Deployment: Deployment.
• *Frontend Dashboard: Documentation.

Go to the Release Notes.

The IASS project is licensed under the terms of the MIT license.