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This is a demo of digital airport APIs, services, and applications to greatly improve customer experience and efficiency. Built using Google Cloud, Firebase, and Apigee.

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Crowd Monitoring Example Apps on Google Cloud

This is a series of demo apps using Google Cloud Serverless and Google Cloud AI services to monitor and recognize crowds in public spaces, and broadcast alerts accordingly to users who might be in transit and benefit from knowing about the current crowd dynamics.

This could be useful in scenarios like:

  • Airport security checkpoints
  • Hospital and clinic waiting rooms
  • Vaccine distribution centers
  • Public sector waiting rooms such as at the DMV (Department of Motor Vehicles)
  • Amusement park ride lines
  • Entrance to events / movie theaters
  • And so many more!

Usage Guide

The central app is the Public Spaces manager app, which can monitor and analyze video footage using Google Cloud Vision API. You can open a publicly deployed version of the apps here.

Crowd Monitor Apps.

The link above takes you to the menu of apps - click on Manager to open the Manager app to monitor congestion, as well as the Passenger app to get alerts broadcast when congestion is detected.

Public Spaces manager app

You can either click "Start Camera" to use your computer's webcam to get live video footage, or click "Select Test Image" to select from pre-loaded images to analyze. You can also upload your own images with "Load Image File". The result of the image analysis is then displayed, along with a warning if crowd congestion was detected.

You can open the passenger app (for an airline example) or the calendar app (for a hospital example) from the header at the top of the screen. Each app should reflect the crowd status accordingly via live events.

Airline passenger app

Passenger app

Hospital calendar app

Calendar app

Deploy

You can easily deploy this solution in your GCP project by clicking this button (launches wizard to deploy the sample Transport Manager & Airline Apps to the serverless GCP Cloud Run service):

Run on Google Cloud

Architecture

The first version of the apps use Google Cloud Run to run the code (scale to 0, no costs when there's no traffic!), and the Google Cloud Vision API for crowd analysis. Events are broadcast to the clients using simple Server-Side Events (no polling!).

Architecture diagram v1

Version 2 of the architecture (WiP) would scale up to use Pub/Sub for eventing and streaming data events, and Apigee API Management to scale the API consumption and integration with 3rd party developers. Also AutoML vision could be used to tailor the crowd recognition for specialized environments / lighting / sample images.

Architecture diagram v2

References

Feedback

Feel free to add an issue / feature request.

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This is a demo of digital airport APIs, services, and applications to greatly improve customer experience and efficiency. Built using Google Cloud, Firebase, and Apigee.

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