https://github.com/veolinan/mobility-guardian

https://github.com/veolinan/mobility-guardian

Last synced: 6 days ago
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• Host: GitHub
• URL: https://github.com/veolinan/mobility-guardian
• Owner: Veolinan
• Created: 2024-09-17T13:41:37.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-17T13:44:34.000Z (2 months ago)
• Last Synced: 2024-09-17T17:11:55.743Z (2 months ago)
• Size: 1.95 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Mobility Guardian

## Overview

Mobility Guardian is IoT-based car monitoring system is designed to monitor vehicle driving behavior and provide real-time data to help detect and prevent road accidents. It utilizes various sensors and a cloud-based platform to monitor vehicle status, detect potential threats, and send alerts to both the driver and relevant authorities.

## Components

 ## Vehicle-Mounted Unit:

   IoT Sensors

 ## Cloud Platform:

   * Data storage and processing

   * Real-time alerts

   * User interface

   * Integration with external services (e.g., WhatsApp) for prompts and notifications.

## Functionality

 * Real-time speed detection: GPS module provides accurate location information of the vehicle. Our servers analyze this data to get the vehicles speed.

 * Speed detection: Data collected is analyzed alongside trained models to detect instances of over-speeding, thus detect reckless driving.

 * Driver monitoring: Cameras within the vehicle monitor the driver, the car and its environment. This may help detect driver drowsiness or similar issues that may be potential accident threats.

 * Alerts: In case of reckless driving, or other relevant issues, the system sends alerts to designated contacts.\

 * Hardware installation: Securely mount the vehicle-mounted unit in the vehicle. Connect the sensors and communication module as per the provided instructions.

 * Software configuration: Configure the cloud platform with necessary credentials and settings.

 * Pairing: Pair the vehicle-mounted unit with the cloud platform using the provided instructions.

## Future Enhancements

 * Advanced analytics: Utilize data analytics to identify patterns and predict potential issues.

 * Integration with the entire car automation system. This will come in hand to help in speed limiting in case of over-speeding.