Car Infotainment System with Facial Recognition Integration

The aim of this project is to develop advanced vehicle infotainment systems that include facial recognition technology to improve user experience and safety. The infotainment system uses Figma design to provide a user-friendly interface that includes navigation, vehicle information, maps, music, streaming services and more. The facial recognition system was implemented using Python and OpenCV to identify registered users and automatically launch the infotainment system when the user enters. This integration provides a personal and secure environment for users.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/acroset62108.2024.10743774
Citations
2
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.50
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article

Car Infotainment System with Facial Recognition Integration

Neha Gupta, Durgesh Kumar Mishra, Himanshi Rohera, Harsh Singh Mandloi
2 citations
Face recognition and analysis
0.50
article

Car Infotainment System with Facial Recognition Integration

Neha Gupta, Durgesh Kumar Mishra, Himanshi Rohera, Harsh Singh Mandloi
article en
2 citations

Abstract

The aim of this project is to develop advanced vehicle infotainment systems that include facial recognition technology to improve user experience and safety. The infotainment system uses Figma design to provide a user-friendly interface that includes navigation, vehicle information, maps, music, streaming services and more. The facial recognition system was implemented using Python and OpenCV to identify registered users and automatically launch the infotainment system when the user enters. This integration provides a personal and secure environment for users.

Symbiosis International University (IN)
Openalex Percentile: Top 33%
Face recognition and analysis
0.50
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