Project - Spatial

Spatial Screenshot

Spatial is a real-time crowd monitoring system designed to prevent overcrowding by analyzing Bluetooth signals from nearby devices. The project aims to enhance public safety and optimize crowd management.

How It Works:

  • Captures Bluetooth signals emitted by mobile devices and headphones.
  • Uses a Raspberry Pi to collect and process real-time data.
  • Data is sent to a Next.js frontend via Flask APIs and stored in Supabase.
  • Provides live crowd estimates to prevent overcrowding incidents.

Tech Stack: Next.js (Frontend), Supabase (Database), Flask (API), Raspberry Pi 3 with Bleak (Bluetooth Data Collection).

About the Project: This project was developed for an exposition at St. Aloysius (Deemed to be University) to address the issue of bus overcrowding in Mangalore. By estimating passenger counts in real-time, it aims to prevent accidents caused by overloaded buses.

Developed By: Jonathan Correa, Deion Dsouza & Daniel Lewis.