https://github.com/himanshirohera/autosmart-infotainment

Smart in-car infotainment with facial recognition. Unlock and control your car’s infotainment system with face authentication, featuring a sleek UI/UX for music, navigation, and settings.
https://github.com/himanshirohera/autosmart-infotainment

haar-cascade opencv python ui-design ux-design

Last synced: 6 days ago
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Smart in-car infotainment with facial recognition. Unlock and control your car’s infotainment system with face authentication, featuring a sleek UI/UX for music, navigation, and settings.

• Host: GitHub
• URL: https://github.com/himanshirohera/autosmart-infotainment
• Owner: HimanshiRohera
• Created: 2024-09-09T23:50:58.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-09T23:57:50.000Z (4 months ago)
• Last Synced: 2024-10-31T12:46:40.104Z (about 2 months ago)
• Topics: haar-cascade, opencv, python, ui-design, ux-design
• Homepage:
• Size: 29.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# AutoSmart-Infotainment

**Project Overview**

FaceDrive-Infotainment is a cutting-edge car infotainment system that integrates facial recognition technology to offer a personalized, secure, and user-friendly experience. Designed with a sleek, intuitive UI/UX using Figma, this system activates upon recognizing a registered user, ensuring secure access to a vehicle's infotainment system. The project combines advanced Python programming with OpenCV for face detection, making it a step forward in modern automotive technology.

**Features**

Facial Recognition Authentication: The system authenticates users using OpenCV and a Haar Cascade classifier to detect and match faces from a pre-registered database.

Infotainment System:

  - Music Player: Control music playback.

  - Navigation: Real-time GPS and map integration.

  - Vehicle Settings: Access to settings like climate control, driving modes, etc.

  - Phone Integration: Bluetooth calling, messaging, and app mirroring.

  - Entertainment Options: YouTube, screen mirroring, and more.

  - Security: The system only unlocks when the authorized user's face matches the database.

**Technologies Used**

UI/UX: Figma for designing intuitive and seamless interfaces.

Programming Languages: Python for backend facial recognition integration.

**Libraries:**

OpenCV for face detection and recognition.

SQLite for storing user face data.

Haar Cascade for facial feature extraction.

**How It Works**

The system prompts the user to scan their face using a connected camera.

The face is compared against the pre-stored database using OpenCV.

If a match is found, the infotainment system unlocks, displaying the home screen with all available options.

Users can interact with various infotainment features, ranging from media control to vehicle settings.

**Future Enhancements**

Integration with voice recognition for hands-free control.

Expansion of media and vehicle options.

Cloud-based user data storage for multi-vehicle access.